{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T11:02:52Z","timestamp":1773658972698,"version":"3.50.1"},"reference-count":76,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,12,27]],"date-time":"2025-12-27T00:00:00Z","timestamp":1766793600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,12,27]],"date-time":"2025-12-27T00:00:00Z","timestamp":1766793600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Evol. Intel."],"published-print":{"date-parts":[[2026,2]]},"DOI":"10.1007\/s12065-025-01129-4","type":"journal-article","created":{"date-parts":[[2025,12,27]],"date-time":"2025-12-27T04:25:06Z","timestamp":1766809506000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Evolution and impact of AI in knowledge sharing: insights from a bibliometric analysis"],"prefix":"10.1007","volume":"19","author":[{"given":"Nhung","family":"Trinh","sequence":"first","affiliation":[]},{"given":"Mai","family":"Nguyen","sequence":"additional","affiliation":[]},{"given":"Dinh-Thi","family":"Ngo","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,12,27]]},"reference":[{"key":"1129_CR1","doi-asserted-by":"publisher","unstructured":"Arakpogun EO, Elsahn Z, Olan F, Elsahn F (2021) Artificial Intelligence in Africa: Challenges and Opportunities. The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success. pp 375\u2013388. https:\/\/doi.org\/10.1007\/978-3-030-62796-6_22","DOI":"10.1007\/978-3-030-62796-6_22"},{"issue":"5","key":"1129_CR2","doi-asserted-by":"publisher","first-page":"531","DOI":"10.1002\/jsc.2362","volume":"29","author":"R Balakrishnan","year":"2020","unstructured":"Balakrishnan R, Das S (2020) How do firms reorganize to implement digital transformation? Strateg Change 29(5):531\u2013541. https:\/\/doi.org\/10.1002\/jsc.2362","journal-title":"Strateg Change"},{"key":"1129_CR3","doi-asserted-by":"publisher","unstructured":"Le D, (Jenny), Chung K, Quach S, Thaichon P (2022) Introduction to artificial intelligence (AI). Artif Intell Market Manag:\u00a03\u201317. https:\/\/doi.org\/10.4324\/9781003280392-2","DOI":"10.4324\/9781003280392-2"},{"key":"1129_CR4","doi-asserted-by":"publisher","first-page":"605","DOI":"10.1016\/j.jbusres.2022.03.008","volume":"145","author":"F Olan","year":"2022","unstructured":"Olan F, Ogiemwonyi Arakpogun E, Suklan J, Nakpodia F, Damij N, Jayawickrama U (2022) Artificial intelligence and knowledge sharing: contributing factors to organizational performance. J Bus Res 145:605\u2013615. https:\/\/doi.org\/10.1016\/j.jbusres.2022.03.008","journal-title":"J Bus Res"},{"key":"1129_CR5","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1016\/j.obhdp.2016.08.003","volume":"136","author":"L Argote","year":"2016","unstructured":"Argote L, Fahrenkopf E (2016) Knowledge transfer in organizations: the roles of members, tasks, tools, and networks. Organ Behav Hum Decis Process 136:146\u2013159. https:\/\/doi.org\/10.1016\/j.obhdp.2016.08.003","journal-title":"Organ Behav Hum Decis Process"},{"issue":"3","key":"1129_CR6","doi-asserted-by":"publisher","first-page":"1221","DOI":"10.1111\/1467-8551.12540","volume":"33","author":"TM Nguyen","year":"2022","unstructured":"Nguyen TM, Malik A (2022a) A two\u2010wave cross\u2010lagged study on AI service quality: the moderating effects of the job level and job role. Br J Manage 33(3):1221\u20131237","journal-title":"Br J Manage"},{"issue":"4","key":"1129_CR7","doi-asserted-by":"publisher","first-page":"178","DOI":"10.1177\/0266382119883999","volume":"36","author":"MH Jarrahi","year":"2019","unstructured":"Jarrahi MH (2019) In the age of the smart artificial intelligence: AI\u2019s dual capacities for automating and informating work. Bus Inf Rev 36(4):178\u2013187. https:\/\/doi.org\/10.1177\/0266382119883999","journal-title":"Bus Inf Rev"},{"issue":"1","key":"1129_CR8","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.bushor.2022.03.002","volume":"66","author":"MH Jarrahi","year":"2023","unstructured":"Jarrahi MH, Askay D, Eshraghi A, Smith P (2023) Artificial intelligence and knowledge management: a partnership between human and AI. Bus Horiz 66(1):87\u201399. https:\/\/doi.org\/10.1016\/j.bushor.2022.03.002","journal-title":"Bus Horiz"},{"key":"1129_CR9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-14748-7_7","volume-title":"Recent innovations in artificial intelligence and smart Applications. Studies in computational intelligence","author":"S Cardona-Acevedo","year":"2022","unstructured":"Cardona-Acevedo S, Londo\u00f1o Celis W, Quiroz Fabra J, Valencia-Arias A (2022) Research trends on the role of big data in artificial intelligence: A bibliometric analysis. In: Al-Emran M, Shaalan K (eds) Recent innovations in artificial intelligence and smart Applications. Studies in computational intelligence, vol 1061. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-031-14748-7_7"},{"key":"1129_CR10","first-page":"506","volume":"E54","author":"LF Garc\u00e9s-Giraldo","year":"2022","unstructured":"Garc\u00e9s-Giraldo LF, Benjumea-Arias M, Cardona-Acevedo S, Bermeo-Giraldo C, Valencia-Arias A, Pati\u00f1o-Vanegas C, Moreno-L\u00f3pez G, Garc\u00eda RB (2022) Uso de inteligencia artificial en gesti\u00f3n de la informaci\u00f3n: una revisi\u00f3n bibliom\u00e9trica [Artificial intelligence in information management: a bibliometric review]. Revista Ib\u00e9rica de Sistemas e Tecnologias de Informa\u00e7\u00e3o (Iberian Journal of Information Systems and Technologies) E54:506\u2013517","journal-title":"Revista Ib\u00e9rica de Sistemas e Tecnologias de Informa\u00e7\u00e3o (Iberian Journal of Information Systems and Technologies)"},{"key":"1129_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbef.2021.100577","author":"JW Goodell","year":"2021","unstructured":"Goodell JW, Kumar S, Lim WM, Pattnaik D (2021) Artificial intelligence and machine learning in finance: identifying foundations, themes, and research clusters from bibliometric analysis. J Behav Exp Finance. https:\/\/doi.org\/10.1016\/j.jbef.2021.100577","journal-title":"J Behav Exp Finance"},{"key":"1129_CR12","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2025.3589025","author":"KS Rawat","year":"2025","unstructured":"Rawat KS, Yadav M (2025b) Decoding the intellectual landscape and evolving research paradigm of artificial intelligence in environmental sustainability. IEEE Internet Things J. 1https:\/\/doi.org\/10.1109\/JIOT.2025.3589025","journal-title":"IEEE Internet Things J"},{"issue":"3","key":"1129_CR13","doi-asserted-by":"publisher","first-page":"270","DOI":"10.1002\/kpm.1720","volume":"29","author":"A Anand","year":"2022","unstructured":"Anand A, Dumazert J-P (2022) Knowledge sharing in organization: reviewing the foundations of the field and current themes using bibliometrics. Knowl Process Manage 29(3):270\u2013283. https:\/\/doi.org\/10.1002\/kpm.1720","journal-title":"Knowl Process Manage"},{"key":"1129_CR14","doi-asserted-by":"publisher","DOI":"10.1080\/23311975.2023.2195027","author":"A Yeboah","year":"2023","unstructured":"Yeboah A (2023) Knowledge sharing in organization: a systematic review. Cogent Bus Manage. https:\/\/doi.org\/10.1080\/23311975.2023.2195027","journal-title":"Cogent Bus Manage"},{"key":"1129_CR15","doi-asserted-by":"publisher","DOI":"10.1109\/TEM.2022.3163117","author":"A Malik","year":"2024","unstructured":"Malik A, Nguyen T-M, Budhwar P (2024) Towards a conceptual model of AI-mediated knowledge sharing exchange of HRM practices: antecedents and consequences. IEEE Trans Eng Manag. https:\/\/doi.org\/10.1109\/TEM.2022.3163117","journal-title":"IEEE Trans Eng Manag"},{"key":"1129_CR16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-52280-2_17","volume-title":"Artificial intelligence in education: the power and dangers of ChatGPT in the Classroom. Studies in big data","author":"SA Fahad","year":"2024","unstructured":"Fahad SA, Salloum SA, Shaalan K (2024) The role of ChatGpt in knowledge sharing and collaboration within digital workplaces: A systematic review. In: Al-Marzouqi A, Salloum SA, Al-Saidat M, Aburayya A, Gupta B (eds) Artificial intelligence in education: the power and dangers of ChatGPT in the Classroom. Studies in big data, vol 144. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-031-52280-2_17"},{"key":"1129_CR17","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1016\/j.jbusres.2021.04.070","volume":"133","author":"N Donthu","year":"2021","unstructured":"Donthu N, Kumar S, Mukherjee D, Pandey N, Lim WM (2021) How to conduct a bibliometric analysis: an overview and guidelines. J Bus Res 133:285\u2013296. https:\/\/doi.org\/10.1016\/j.jbusres.2021.04.070","journal-title":"J Bus Res"},{"issue":"6","key":"1129_CR18","doi-asserted-by":"publisher","first-page":"1959","DOI":"10.1002\/cae.22561","volume":"30","author":"YS Lamba","year":"2022","unstructured":"Lamba YS, Sood SK, Rawat KS, Chopra M, Singh AK (2022) Knowledge mapping of 4D printing technologies in computer engineering. Comput Appl Eng Educ 30(6):1959\u20131978. https:\/\/doi.org\/10.1002\/cae.22561","journal-title":"Comput Appl Eng Educ"},{"key":"1129_CR19","doi-asserted-by":"publisher","DOI":"10.1109\/TEM.2024.3466949","author":"KS Rawat","year":"2024","unstructured":"Rawat KS, Sharma T (2024) A leap from theory to reality: knowledge visualization of quantum computing. IEEE Trans Eng Manag. https:\/\/doi.org\/10.1109\/TEM.2024.3466949","journal-title":"IEEE Trans Eng Manag"},{"key":"1129_CR20","doi-asserted-by":"publisher","unstructured":"Rawat KS, Yadav M (2025a) Analyzing quantum computing applications across key scientific domains using trends and visual analytics analyzing quantum computing applications. Arch Comput Methods Eng: State Art Rev: 1\u201332. https:\/\/doi.org\/10.1007\/s11831-025-10312-w","DOI":"10.1007\/s11831-025-10312-w"},{"issue":"5","key":"1129_CR21","doi-asserted-by":"publisher","first-page":"998","DOI":"10.1108\/JKM-01-2019-0029","volume":"23","author":"TM Nguyen","year":"2019","unstructured":"Nguyen TM, Nham TP, Froese FJ, Malik A (2019) Motivation and knowledge sharing: a meta-analysis of main and moderating effects. J Knowl Manag 23(5):998\u20131016","journal-title":"J Knowl Manag"},{"issue":"3","key":"1129_CR22","doi-asserted-by":"publisher","first-page":"482","DOI":"10.1108\/IMR-02-2021-0078","volume":"39","author":"TM Nguyen","year":"2022","unstructured":"Nguyen TM, Malik A (2022b) Impact of knowledge sharing on employees\u2019 service quality: the moderating role of artificial intelligence. Int Mark Rev 39(3):482\u2013508","journal-title":"Int Mark Rev"},{"key":"1129_CR23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-95901-1_1","volume-title":"Knowledge management in Organisations. KMO 2025. Communications in computer and information science","author":"WC Shen","year":"2025","unstructured":"Shen WC, Lin FR, Yang YH, Wang WC (2025) Design principles for Human-AI collaborative knowledge service systems. In: Uden L, Ting IH (eds) Knowledge management in Organisations. KMO 2025. Communications in computer and information science, vol 2563. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-031-95901-1_1"},{"key":"1129_CR24","first-page":"45","volume":"49","author":"AM Abubakar","year":"2019","unstructured":"Abubakar AM, Behravesh E, Rezapouraghdam H, Yildiz SB (2019) Applying artificial intelligence technique to predict knowledge hiding behavior. Int J Inf Manag 49:45\u201357","journal-title":"Int J Inf Manag"},{"key":"1129_CR25","doi-asserted-by":"publisher","unstructured":"Arya V, Saraf A, Chichkanov N, Papa A, Romano M (2025) AI-enhanced competency transfer hubs: a conceptual framework for university-industry engagement and knowledge sharing. J Technol Transf: 1\u201331. https:\/\/doi.org\/10.1007\/s10961-025-10233-7","DOI":"10.1007\/s10961-025-10233-7"},{"key":"1129_CR26","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1023\/A:1017919924342","volume":"52","author":"W Hood","year":"2001","unstructured":"Hood W, Wilson C (2001) The literature of bibliometrics, scientometrics, and informetrics. Scientometrics 52:291\u2013314. https:\/\/doi.org\/10.1023\/A:1017919924342","journal-title":"Scientometrics"},{"issue":"10","key":"1129_CR27","doi-asserted-by":"publisher","first-page":"1345","DOI":"10.1109\/tkde.2009.191","volume":"22","author":"SJ Pan","year":"2010","unstructured":"Pan SJ, Yang Q (2010) A survey on transfer learning. IEEE Trans Knowl Data Eng 22(10):1345\u20131359. https:\/\/doi.org\/10.1109\/tkde.2009.191","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"1129_CR28","doi-asserted-by":"publisher","DOI":"10.1016\/j.jisa.2024.103786","volume":"83","author":"P Alaeifar","year":"2024","unstructured":"Alaeifar P, Pal S, Jadidi Z, Hussain M, Foo E (2024) Current approaches and future directions for cyber threat intelligence sharing: a survey. J Inf Secur Appl 83:103786. https:\/\/doi.org\/10.1016\/j.jisa.2024.103786","journal-title":"J Inf Secur Appl"},{"issue":"1","key":"1129_CR29","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1108\/IJILT-03-2024-0046","volume":"42","author":"A Zeb","year":"2025","unstructured":"Zeb A, Rehman FU, Bin Othayman M, Rabnawaz M (2025) Artificial intelligence and ChatGPT are fostering knowledge sharing, ethics, academia and libraries. The International Journal of Information and Learning Technology 42(1):67\u201383. https:\/\/doi.org\/10.1108\/IJILT-03-2024-0046","journal-title":"The International Journal of Information and Learning Technology"},{"key":"1129_CR30","doi-asserted-by":"publisher","DOI":"10.1108\/MD-10-2023-2023","author":"M Rezaei","year":"2024","unstructured":"Rezaei M, Pironti M, Quaglia R (2024) AI in knowledge sharing, which ethical challenges are raised in decision-making processes for organisations? Manag Decis. https:\/\/doi.org\/10.1108\/MD-10-2023-2023","journal-title":"Manag Decis"},{"key":"1129_CR31","doi-asserted-by":"publisher","DOI":"10.3389\/fcomp.2024.1529826","volume":"6","author":"E Frontoni","year":"2024","unstructured":"Frontoni E, Paolanti M, Migliorelli L, Pietrini R, Asimakopoulos S (2024) Artificial intelligence: the new frontier in digital humanities. Frontiers in Computer Science 6:1529826","journal-title":"Frontiers in Computer Science"},{"key":"1129_CR32","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.knosys.2015.01.010","volume":"80","author":"J Lu","year":"2015","unstructured":"Lu J, Behbood V, Hao P, Zuo H, Xue S, Zhang G (2015) Transfer learning using computational intelligence: a survey. Knowl Based Syst 80:14\u201323. https:\/\/doi.org\/10.1016\/j.knosys.2015.01.010","journal-title":"Knowl Based Syst"},{"key":"1129_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2021.108487","volume":"167","author":"W Li","year":"2022","unstructured":"Li W, Huang R, Li J, Liao Y, Chen Z, He G, Yan R, Gryllias K (2022) A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: theories, applications and challenges. Mech Syst Signal Process 167:108487. https:\/\/doi.org\/10.1016\/j.ymssp.2021.108487","journal-title":"Mech Syst Signal Process"},{"key":"1129_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.tourman.2019.104042","volume":"78","author":"R de Kervenoael","year":"2020","unstructured":"de Kervenoael R, Hasan R, Schwob A, Goh E (2020) Leveraging human-robot interaction in hospitality services: incorporating the role of perceived value, empathy, and information sharing into visitors\u2019 intentions to use Social Robots. Tour Manage 78:104042. https:\/\/doi.org\/10.1016\/j.tourman.2019.104042","journal-title":"Tour Manage"},{"issue":"2","key":"1129_CR35","doi-asserted-by":"publisher","first-page":"556","DOI":"10.1109\/TCSS.2020.2980007","volume":"7","author":"L Li","year":"2020","unstructured":"Li L, Zhang Q, Wang X, Zhang J, Wang T, Gao T-L, Duan W, Tsoi KK-f, Wang F-Y (2020) Characterizing the propagation of situational information in social media during COVID-19 epidemic: a case study on Weibo. IEEE Trans Comput Soc Syst 7(2):556\u2013562","journal-title":"IEEE Trans Comput Soc Syst"},{"issue":"10","key":"1129_CR36","doi-asserted-by":"publisher","first-page":"4065","DOI":"10.1016\/j.eswa.2013.01.001","volume":"40","author":"E Kontopoulos","year":"2013","unstructured":"Kontopoulos E, Berberidis C, Dergiades T, Bassiliades N (2013) Ontology-based sentiment analysis of Twitter posts. Expert Syst Appl 40(10):4065\u20134074. https:\/\/doi.org\/10.1016\/j.eswa.2013.01.001","journal-title":"Expert Syst Appl"},{"key":"1129_CR37","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.112986","volume":"153","author":"P Meel","year":"2020","unstructured":"Meel P, Vishwakarma DK (2020) Fake news, rumor, information pollution in social media and web: a contemporary survey of state-of-the-arts, challenges and opportunities. Expert Syst Appl 153:112986. https:\/\/doi.org\/10.1016\/j.eswa.2019.112986","journal-title":"Expert Syst Appl"},{"issue":"3","key":"1129_CR38","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1093\/jamia\/ocaa196","volume":"28","author":"MA Haendel","year":"2021","unstructured":"Haendel MA, Chute CG, Bennett TD, Eichmann DA, Guinney J, Kibbe WA, Payne PRO, Pfaff ER, Robinson PN, Saltz JH, Spratt H, Suver C, Wilbanks J, Wilcox AB, Williams AE, Wu C, Blacketer C, Bradford RL, Cimino JJ et al (2021) The National COVID cohort collaborative (N3C): rationale, design, infrastructure, and deployment. J Am Med Inform Assoc 28(3):427\u2013443. https:\/\/doi.org\/10.1093\/jamia\/ocaa196","journal-title":"J Am Med Inform Assoc"},{"key":"1129_CR39","unstructured":"Vapnik V, Izmailov R (2015) Learning using privileged information: similarity control and knowledge transfer 16:2023\u20132049"},{"key":"1129_CR40","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbusres.2024.114760","author":"WM Lim","year":"2024","unstructured":"Lim WM, Kumar S, Donthu N (2024) How to combine and clean bibliometric data and use bibliometric tools synergistically: guidelines using metaverse research. J Bus Res. https:\/\/doi.org\/10.1016\/j.jbusres.2024.114760","journal-title":"J Bus Res"},{"key":"1129_CR41","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-016-0043-6","author":"K Weiss","year":"2016","unstructured":"Weiss K, Khoshgoftaar TM, Wang D (2016) A survey of transfer learning. J Big Data. https:\/\/doi.org\/10.1186\/s40537-016-0043-6","journal-title":"J Big Data"},{"issue":"1","key":"1129_CR42","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1023\/a:1007379606734","volume":"28","author":"R Caruana","year":"1997","unstructured":"Caruana R (1997) Multitask learning. Mach Learn 28(1):41\u201375. https:\/\/doi.org\/10.1023\/a:1007379606734","journal-title":"Mach Learn"},{"key":"1129_CR43","doi-asserted-by":"publisher","first-page":"3320","DOI":"10.48550\/arXiv.1411.1792","volume":"27","author":"J Yosinski","year":"2014","unstructured":"Yosinski J, Clune J, Bengio Y, Lipson H (2014) How transferable are features in deep neural networks? Adv Neural Inf Process Syst 27:3320\u20133328. https:\/\/doi.org\/10.48550\/arXiv.1411.1792","journal-title":"Adv Neural Inf Process Syst"},{"key":"1129_CR44","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2016.90","author":"K He","year":"2016","unstructured":"He K, Zhang X, Ren S, Sun J (2016) Deep residual learning for image recognition. 2016 IEEE Conf Comput Vis Pattern Recognit (CVPR). https:\/\/doi.org\/10.1109\/cvpr.2016.90","journal-title":"2016 IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"1129_CR45","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1409.1556","author":"K Simonyan","year":"2015","unstructured":"Simonyan K, Zisserman A (2015) Very deep convolutional networks for Large-Scale image recognition. ICLR 2015. https:\/\/doi.org\/10.48550\/arXiv.1409.1556","journal-title":"ICLR 2015"},{"issue":"6","key":"1129_CR46","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1145\/3065386","volume":"60","author":"A Krizhevsky","year":"2017","unstructured":"Krizhevsky A, Sutskever I, Hinton GE (2017) Imagenet classification with deep convolutional neural networks. Commun ACM 60(6):84\u201390. https:\/\/doi.org\/10.1145\/3065386","journal-title":"Commun ACM"},{"issue":"2","key":"1129_CR47","doi-asserted-by":"publisher","first-page":"199","DOI":"10.1109\/tnn.2010.2091281","volume":"22","author":"SJ Pan","year":"2011","unstructured":"Pan SJ, Tsang IW, Kwok JT, Yang Q (2011) Domain adaptation via transfer component analysis. IEEE Trans Neural Netw 22(2):199\u2013210. https:\/\/doi.org\/10.1109\/tnn.2010.2091281","journal-title":"IEEE Trans Neural Netw"},{"key":"1129_CR48","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2013.274","author":"M Long","year":"2013","unstructured":"Long M, Wang J, Ding G, Sun J, Yu PS (2013) Transfer feature learning with joint distribution adaptation. 2013 IEEE Int Conf Comput Vis. https:\/\/doi.org\/10.1109\/iccv.2013.274","journal-title":"2013 IEEE Int Conf Comput Vis"},{"key":"1129_CR49","unstructured":"Long M, Cao Y, Wang J, Jordan M (2015) Learning transferable features with deep adaptation networks. In:\u00a0Proceedings of the 32nd International Conference on Machine Learning, in Proceedings of Machine Learning Research, vol\u00a037, pp. 97\u2013105"},{"key":"1129_CR50","unstructured":"Vaswani A, Shazeer N, Parmar N, Uszkoreit J, Jones L, Gomez AN, Kaiser \u0141, Polosukhin I (2017) Attention is all you need. Adv Neural Inf Process Syst\u00a030"},{"key":"1129_CR51","unstructured":"McMahan B, Moore E, Ramage D, Hampson S, Arcas BAy (2017) Communication-Efficient Learning of Deep Networks from Decentralized Data. In:\u00a0Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, in Proceedings of Machine Learning Research, vol. 54, pp. 1273\u20131282"},{"key":"1129_CR52","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei DM, Ng AY, Jordan MI (2003) Latent dirichlet allocation. J Mach Learn Res 3:993\u20131022","journal-title":"J Mach Learn Res"},{"issue":"5","key":"1129_CR53","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2021.102655","volume":"58","author":"M Elahi","year":"2021","unstructured":"Elahi M, Kholgh DK, Kiarostami MS, Saghari S, Rad SP, Tkal\u010di\u010d M (2021) Investigating the impact of recommender systems on user-based and item-based popularity bias. Information Processing & Management 58(5):102655","journal-title":"Information Processing & Management"},{"issue":"6","key":"1129_CR54","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2022.103100","volume":"59","author":"E Yalcin","year":"2022","unstructured":"Yalcin E, Bilge A (2022) Evaluating unfairness of popularity bias in recommender systems: a comprehensive user-centric analysis. Inf Process Manage 59(6):103100","journal-title":"Inf Process Manage"},{"issue":"10","key":"1129_CR55","doi-asserted-by":"publisher","first-page":"9920","DOI":"10.1109\/TKDE.2022.3218994","volume":"35","author":"Z Zhao","year":"2022","unstructured":"Zhao Z, Chen J, Zhou S, He X, Cao X, Zhang F, Wu W (2022) Popularity bias is not always evil: disentangling benign and harmful bias for recommendation. IEEE Trans Knowl Data Eng 35(10):9920\u20139931","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"1129_CR56","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2021.113511","volume":"144","author":"M Stierle","year":"2021","unstructured":"Stierle M, Weinzierl S, Harl M, Matzner M (2021) A technique for determining relevance scores of process activities using graph-based neural networks. Decis Support Syst 144:113511","journal-title":"Decis Support Syst"},{"key":"1129_CR57","unstructured":"Wu CJ, Raghavendra R, Gupta U, Acun B, Ardalani N, Maeng K, Hazelwood K (2022) Sustainable ai: Environmental implications, challenges and opportunities. Proc Mach Learn Syst 4: 795\u2013813"},{"issue":"16","key":"1129_CR58","doi-asserted-by":"publisher","first-page":"3026","DOI":"10.3390\/foods12163026","volume":"12","author":"RM Ellahi","year":"2023","unstructured":"Ellahi RM, Wood LC, Bekhit AEDA (2023) Blockchain-based frameworks for food traceability: a systematic review. Foods 12(16):3026","journal-title":"Foods"},{"issue":"7","key":"1129_CR59","doi-asserted-by":"publisher","first-page":"2117","DOI":"10.1080\/00207543.2018.1533261","volume":"57","author":"S Saberi","year":"2019","unstructured":"Saberi S, Kouhizadeh M, Sarkis J, Shen L (2019) Blockchain technology and its relationships to sustainable supply chain management. Int J Prod Res 57(7):2117\u20132135","journal-title":"Int J Prod Res"},{"key":"1129_CR60","doi-asserted-by":"publisher","DOI":"10.1007\/s11301-023-00390-0","author":"P Vern","year":"2024","unstructured":"Vern P, Panghal A, Mor RS et al (2024) Blockchain technology in the agri-food supply chain: a systematic literature review of opportunities and challenges. Manag Rev Q. https:\/\/doi.org\/10.1007\/s11301-023-00390-0","journal-title":"Manag Rev Q"},{"key":"1129_CR61","unstructured":"Koricheva J, Gurevitch J, Mengersen KL (2017) Handbook of meta-analysis in ecology and evolution. Princeton University Press,\u00a0Princeton"},{"issue":"2","key":"1129_CR62","doi-asserted-by":"publisher","first-page":"296","DOI":"10.4103\/1008-682X.171582","volume":"18","author":"A Agarwal","year":"2016","unstructured":"Agarwal A, Durairajanayagam D, Tatagari S, Esteves SC, Harlev A, Henkel R, Bashiri A (2016) Bibliometrics: tracking research impact by selecting the appropriate metrics. Asian J Androl 18(2):296\u2013309","journal-title":"Asian J Androl"},{"issue":"1","key":"1129_CR63","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1108\/eb026819","volume":"44","author":"L Egghe","year":"1988","unstructured":"Egghe L (1988) On the classification of the classical bibliometric laws. J Doc 44(1):53\u201362","journal-title":"J Doc"},{"issue":"7","key":"1129_CR64","doi-asserted-by":"publisher","first-page":"1786","DOI":"10.1002\/asi.23785","volume":"68","author":"SJ Bensman","year":"2017","unstructured":"Bensman SJ, Smolinsky LJ (2017) Lotka\u2019s inverse square law of scientific productivity: its methods and statistics. J Assoc Inf Sci Technol 68(7):1786\u20131791","journal-title":"J Assoc Inf Sci Technol"},{"issue":"4","key":"1129_CR65","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1016\/0306-4573(85)90055-X","volume":"21","author":"ML Pao","year":"1985","unstructured":"Pao ML (1985) Lotka\u2019s law: a testing procedure. Inf Process Manage 21(4):305\u2013320","journal-title":"Inf Process Manage"},{"issue":"2","key":"1129_CR66","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1007\/s11192-005-0211-5","volume":"63","author":"R Bail\u00f3n-Moreno","year":"2005","unstructured":"Bail\u00f3n-Moreno R, Jurado-Alameda E, Ruiz-Ba\u00f1os R, Courtial JP (2005) Bibliometric laws: empirical flaws of fit. Scientometrics 63(2):209\u2013229","journal-title":"Scientometrics"},{"key":"1129_CR67","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2024.e29199","author":"H Xie","year":"2024","unstructured":"Xie H, Wang S, Niu D, Yang C, Bai H, Lei T, Liu H (2024) A bibliometric analysis of the research landscape on vascular normalization in cancer. Heliyon. https:\/\/doi.org\/10.1016\/j.heliyon.2024.e29199","journal-title":"Heliyon"},{"issue":"1","key":"1129_CR69","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1109\/TEVC.2019.2906927","volume":"24","author":"KK Bali","year":"2020","unstructured":"Bali KK, Ong Y-S, Gupta A, Tan PS (2020) Multifactorial evolutionary algorithm with online transfer parameter estimation: MFEA-II. IEEE Trans Evol Comput 24(1):69\u201383","journal-title":"IEEE Trans Evol Comput"},{"key":"1129_CR84","doi-asserted-by":"publisher","first-page":"867","DOI":"10.1007\/s11301-023-00320-0","volume":"74","author":"P Weber","year":"2024","unstructured":"Weber P, Carl KV, Hinz O (2024) Applications of explainable artificial intelligence in Finance\u2014a systematic review of Finance, information Systems, and computer science literature. Manag Rev Q 74:867\u2013907. https:\/\/doi.org\/10.1007\/s11301-023-00320-0","journal-title":"Manag Rev Q"},{"issue":"1","key":"1129_CR86","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1109\/jproc.2020.3004555","volume":"109","author":"F Zhuang","year":"2021","unstructured":"Zhuang F, Qi Z, Duan K, Xi D, Zhu Y, Zhu H, Xiong H, He Q (2021) A comprehensive survey on transfer learning. Proc IEEE 109(1):43\u201376. https:\/\/doi.org\/10.1109\/jproc.2020.3004555","journal-title":"Proc IEEE"},{"issue":"66","key":"1129_CR87","doi-asserted-by":"publisher","first-page":"1370","DOI":"10.1057\/jors.2014.113","volume":"66","author":"Mingers John","year":"2015","unstructured":"Mingers J, Leydesdorff L (2015) Identifying research fields within business and management: A journal cross-citation analysis. J Operat Res Soc 66(8):1370-1384. https:\/\/doi.org\/10.1057\/jors.2014.113","journal-title":"Journal of the Operational Research Society"},{"issue":"4","key":"1129_CR88","doi-asserted-by":"publisher","first-page":"629","DOI":"10.1016\/j.joi.2010.07.002","volume":"4","author":"Waltman Ludo","year":"2010","unstructured":"Waltman L, Van Eck NJ, Noyons EC (2010) A unified approach to mapping and clustering of bibliometric networks. J informet 4(4):629-635. https:\/\/doi.org\/10.1016\/j.joi.2010.07.002","journal-title":"Journal of Informetrics"},{"key":"1129_CR89","first-page":"2579","volume":"9","author":"van der Maaten Laurens","year":"2008","unstructured":"Maaten LVD, Hinton G (2008) Visualizing data using t-SNE. Journal of machine learning research, 9(Nov), 2579-2605.","journal-title":"Journal of Machine Learning Research"},{"key":"1129_CR90","doi-asserted-by":"crossref","unstructured":"Tzeng E, Hoffman J, Saenko K, Darrell T (2017) Adversarial discriminative domain adaptation. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 7167-7176).","DOI":"10.1109\/CVPR.2017.316"},{"key":"1129_CR91","doi-asserted-by":"publisher","unstructured":"Strubell E, Ganesh A, McCallum A (2019) Energy and policy considerations for deep learning in NLP. In Proceedings of the 57th annual meeting of the association for computational linguistics (pp. 3645-3650). https:\/\/doi.org\/10.18653\/v1\/P19-1355","DOI":"10.18653\/v1\/P19-1355"},{"key":"1129_CR92","doi-asserted-by":"publisher","unstructured":"van Eck NJ, Waltman L (2019) Accuracy of citation data in Web of Science and Scopus. arXiv preprint arXiv:1906.07011.Nees Jan van Eck https:\/\/doi.org\/10.48550\/arXiv.1906.07011","DOI":"10.48550\/arXiv.1906.07011"}],"container-title":["Evolutionary Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12065-025-01129-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12065-025-01129-4","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12065-025-01129-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T10:09:20Z","timestamp":1773655760000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12065-025-01129-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,27]]},"references-count":76,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,2]]}},"alternative-id":["1129"],"URL":"https:\/\/doi.org\/10.1007\/s12065-025-01129-4","relation":{},"ISSN":["1864-5909","1864-5917"],"issn-type":[{"value":"1864-5909","type":"print"},{"value":"1864-5917","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,27]]},"assertion":[{"value":"17 January 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 October 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 December 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 December 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"13"}}