{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T16:04:08Z","timestamp":1774454648927,"version":"3.50.1"},"reference-count":51,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2024,6,5]],"date-time":"2024-06-05T00:00:00Z","timestamp":1717545600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,6,5]],"date-time":"2024-06-05T00:00:00Z","timestamp":1717545600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["60873093"],"award-info":[{"award-number":["60873093"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the Strategic Cooperation Technology Projects of CNPC and CUPB","award":["ZLZX2020-05"],"award-info":[{"award-number":["ZLZX2020-05"]}]},{"name":"China Energy 2030 Major Project","award":["GJNY2030XDXM-19-08.2"],"award-info":[{"award-number":["GJNY2030XDXM-19-08.2"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Vis"],"published-print":{"date-parts":[[2024,10]]},"DOI":"10.1007\/s12650-024-01008-7","type":"journal-article","created":{"date-parts":[[2024,6,5]],"date-time":"2024-06-05T09:02:05Z","timestamp":1717578125000},"page":"819-840","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Visually exploring canonical correlation patterns of high-dimensional industrial control datasets based on multi-sensor fusion"],"prefix":"10.1007","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0503-0009","authenticated-orcid":false,"given":"Lianen","family":"Ji","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zitong","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongfan","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingbo","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guang","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Tian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,6,5]]},"reference":[{"issue":"4","key":"1008_CR1","doi-asserted-by":"publisher","first-page":"437","DOI":"10.1207\/s15327906mbr1604_2","volume":"16","author":"RP Bagozzi","year":"1981","unstructured":"Bagozzi RP, Fornell C, Larcker DF (1981) Canonical correlation analysis as a special case of a structural relations model. Multivar Behav Res 16(4):437. https:\/\/doi.org\/10.1207\/s15327906mbr1604_2","journal-title":"Multivar Behav Res"},{"issue":"194","key":"1008_CR2","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1201\/9781498710411","volume":"189","author":"J Brooke","year":"1996","unstructured":"Brooke J (1996) SUS-A quick and dirty usability scale. Usabil Evaluat Ind 189(194):4\u20137. https:\/\/doi.org\/10.1201\/9781498710411","journal-title":"Usabil Evaluat Ind"},{"issue":"1","key":"1008_CR3","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1109\/TVCG.2016.2598468","volume":"23","author":"D Ceneda","year":"2016","unstructured":"Ceneda D, Gschwandtner T, May T et al (2016) Characterizing guidance in visual analytics. IEEE Trans Visual Comput Graph 23(1):111\u2013120. https:\/\/doi.org\/10.1109\/TVCG.2016.2598468","journal-title":"IEEE Trans Visual Comput Graph"},{"key":"1008_CR4","doi-asserted-by":"publisher","first-page":"619","DOI":"10.1016\/j.psep.2021.03.025","volume":"149","author":"H Cheng","year":"2021","unstructured":"Cheng H, Liu Y, Huang D et al (2021) Rebooting kernel CCA method for nonlinear quality-relevant fault detection in process industries. Process Saf Environ Prot 149:619\u2013630. https:\/\/doi.org\/10.1016\/j.psep.2021.03.025","journal-title":"Process Saf Environ Prot"},{"issue":"1","key":"1008_CR5","doi-asserted-by":"publisher","first-page":"012011","DOI":"10.1088\/1742-6596\/1922\/1\/012011","volume":"1922","author":"X Du","year":"2021","unstructured":"Du X, Cui Y, Wang M et al (2021) Research on prediction of vertical water wall temperature of power station boiler based on deep learning and expert experience. J Phys Conf Ser 1922(1):012011. https:\/\/doi.org\/10.1088\/1742-6596\/1922\/1\/012011","journal-title":"J Phys Conf Ser"},{"issue":"7","key":"1008_CR6","doi-asserted-by":"publisher","first-page":"1863","DOI":"10.1109\/TVCG.2016.2549018","volume":"23","author":"J Fuchs","year":"2016","unstructured":"Fuchs J et al (2016) A systematic review of experimental studies on data glyphs. IEEE Trans Visual Comput Graph 23(7):1863\u20131879. https:\/\/doi.org\/10.1109\/TVCG.2016.2549018","journal-title":"IEEE Trans Visual Comput Graph"},{"issue":"9","key":"1008_CR7","doi-asserted-by":"publisher","first-page":"1955","DOI":"10.1109\/JSEN.2011.2107896","volume":"11","author":"S Gao","year":"2011","unstructured":"Gao S, Zhong Y, Li W (2011) Random weighting method for multisensor data fusion. IEEE Sens J 11(9):1955\u20131961. https:\/\/doi.org\/10.1109\/JSEN.2011.2107896","journal-title":"IEEE Sens J"},{"issue":"4","key":"1008_CR8","doi-asserted-by":"publisher","first-page":"289","DOI":"10.1177\/1473871611416549","volume":"10","author":"M Gleicher","year":"2011","unstructured":"Gleicher M et al (2011) Visual comparison for information visualization. Inf vis 10(4):289\u2013309. https:\/\/doi.org\/10.1177\/1473871611416549","journal-title":"Inf vis"},{"key":"1008_CR9","doi-asserted-by":"publisher","unstructured":"Gong J, Wu G, Yang Q, et al (2021) Uncertainty method based on dynamic multi-sensor information fu-sion in power system. In: 2021 International conference on electronic information engineering and computer science (EIECS), pp 172\u2013177. https:\/\/doi.org\/10.1109\/EIECS53707.2021.9588096","DOI":"10.1109\/EIECS53707.2021.9588096"},{"key":"1008_CR10","doi-asserted-by":"publisher","unstructured":"Hair JF, Black WC, Babin BJ, et al (2010) Canonical correlation: a supplement to multivariate data analysis. In: Multivariate data analysis: a global perspective, 7th edn. Pearson Prentice Hall Publishing: Upper Saddle River. https:\/\/doi.org\/10.9780\/135153093","DOI":"10.9780\/135153093"},{"issue":"4","key":"1008_CR11","doi-asserted-by":"publisher","first-page":"254","DOI":"10.1016\/j.visinf.2018.12.005","volume":"2","author":"X He","year":"2018","unstructured":"He X, Tao Y, Wang Q et al (2018) A co-analysis framework for exploring multivariate scientific data. Vis Inform 2(4):254\u2013263. https:\/\/doi.org\/10.1016\/j.visinf.2018.12.005","journal-title":"Vis Inform"},{"key":"1008_CR12","doi-asserted-by":"publisher","unstructured":"Hidaka A, Kurita T (2017) Consecutive dimensionality reduction by canonical correlation analysis for visualization of convolutional neural networks, pp 160\u2013167. https:\/\/doi.org\/10.5687\/sss.2017.160","DOI":"10.5687\/sss.2017.160"},{"issue":"5","key":"1008_CR13","doi-asserted-by":"publisher","first-page":"741","DOI":"10.1109\/TVCG.2006.147","volume":"12","author":"D Holten","year":"2006","unstructured":"Holten D (2006) Hierarchical edge bundles: Visualization of adjacency relations in hierarchical data. IEEE Trans Visual Comput Graph 12(5):741\u2013748. https:\/\/doi.org\/10.1109\/TVCG.2006.147","journal-title":"IEEE Trans Visual Comput Graph"},{"key":"1008_CR14","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1093\/biomet\/28.3-4.321","volume":"28","author":"H Hotelling","year":"1936","unstructured":"Hotelling H (1936) Relations between two sets of variates. Biometrika 28:321\u2013377. https:\/\/doi.org\/10.1093\/biomet\/28.3-4.321","journal-title":"Biometrika"},{"key":"1008_CR15","doi-asserted-by":"publisher","unstructured":"Hu Z, Zhou H, Fu L, et al (2020) Visualization fusion method for unstructured data of power grid based on improved clustering. In: 2020 13th International conference on intelligent computation technology and automation (ICICTA), pp 690\u2013697. https:\/\/doi.org\/10.1109\/ICICTA51737.2020.00152","DOI":"10.1109\/ICICTA51737.2020.00152"},{"issue":"5","key":"1008_CR16","doi-asserted-by":"publisher","first-page":"3825","DOI":"10.1109\/TIE.2018.2860571","volume":"66","author":"Q Jiang","year":"2018","unstructured":"Jiang Q, Gao F, Yan X et al (2018a) Multiobjective two-dimensional CCA-based monitoring for successive batch processes with industrial injection molding application. IEEE Trans Ind Electron 66(5):3825\u20133834. https:\/\/doi.org\/10.1109\/TIE.2018.2860571","journal-title":"IEEE Trans Ind Electron"},{"key":"1008_CR17","doi-asserted-by":"publisher","unstructured":"Jiang Z, Lin R, Yang F (2018b) Mining daily canonical correlations among multivariable electricity, gas and climate data. In: 2018 International joint conference on neural networks (IJCNN), pp 1\u20138. https:\/\/doi.org\/10.1109\/IJCNN.2018.8489226","DOI":"10.1109\/IJCNN.2018.8489226"},{"key":"1008_CR18","doi-asserted-by":"publisher","unstructured":"Kintzel C, Fuchs J, Mansmann F (2011) Monitoring large ip spaces with clockview. In: Proceedings of the 8th international symposium on visualization for cyber security, pp 1\u201310. https:\/\/doi.org\/10.1145\/2016904.2016906","DOI":"10.1145\/2016904.2016906"},{"issue":"1","key":"1008_CR19","doi-asserted-by":"publisher","first-page":"499","DOI":"10.1109\/TVCG.2015.2467195","volume":"22","author":"S Lee","year":"2015","unstructured":"Lee S, Kim SH, Hung YH et al (2015) How do people make sense of unfamiliar visualizations?: A gr-ounded model of novice\u2019s information visualization sensemaking. IEEE Trans Visual Comput Graph 22(1):499\u2013508. https:\/\/doi.org\/10.1109\/TVCG.2015.2467195","journal-title":"IEEE Trans Visual Comput Graph"},{"issue":"1","key":"1008_CR20","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1057\/ivs.2008.13","volume":"9","author":"J Li","year":"2010","unstructured":"Li J, Martens JB, Van Wijk JJ (2010) Judging correlation from scatterplots and parallel coordinate plots. Inf vis 9(1):13\u201330. https:\/\/doi.org\/10.1057\/ivs.2008.13","journal-title":"Inf vis"},{"key":"1008_CR21","doi-asserted-by":"publisher","first-page":"2883","DOI":"10.1109\/TSP.2020.2985643","volume":"68","author":"T Li","year":"2020","unstructured":"Li T, Wang X, Liang Y et al (2020) On arithmetic average fusion and its application for distributed multi-bernoulli multitarget tracking. IEEE Trans Signal Process 68:2883\u20132896. https:\/\/doi.org\/10.1109\/TSP.2020.2985643","journal-title":"IEEE Trans Signal Process"},{"issue":"1","key":"1008_CR22","doi-asserted-by":"publisher","first-page":"955","DOI":"10.1109\/TVCG.2015.2467431","volume":"22","author":"X Liu","year":"2015","unstructured":"Liu X, Shen H-W (2015) Association analysis for visual exploration of multivariate scientific data sets. IEEE Trans Visual Comput Graph 22(1):955\u2013964. https:\/\/doi.org\/10.1109\/TVCG.2015.2467431","journal-title":"IEEE Trans Visual Comput Graph"},{"key":"1008_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.fuel.2019.115983","volume":"257","author":"H Liu","year":"2019","unstructured":"Liu H, Hu S, Zhang L et al (2019) Influence of near-wall air position on the high-temperature corrosion and combustion in a 1000 MWth opposed wall-fired boiler. Fuel 257:115983. https:\/\/doi.org\/10.1016\/j.fuel.2019.115983","journal-title":"Fuel"},{"issue":"2","key":"1008_CR24","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1109\/JSEN.2002.1000251","volume":"2","author":"RC Luo","year":"2002","unstructured":"Luo RC, Yih CC, Su KL (2002) Multisensor fusion and integration: approaches, applications, and future research directions. IEEE Sens J 2(2):107\u2013119. https:\/\/doi.org\/10.1109\/JSEN.2002.1000251","journal-title":"IEEE Sens J"},{"key":"1008_CR25","doi-asserted-by":"publisher","unstructured":"Ming Y, et al (2017) Understanding hidden memories of recurrent neural networks. In: 2017 IEEE conference on visual analytics science and technology (VAST), pp 13\u201324. https:\/\/doi.org\/10.1109\/VAST.2017.8585721","DOI":"10.1109\/VAST.2017.8585721"},{"issue":"6","key":"1008_CR26","doi-asserted-by":"publisher","first-page":"921","DOI":"10.1109\/TVCG.2009.111","volume":"15","author":"T Munzner","year":"2009","unstructured":"Munzner T (2009) A nested model for visualization design and validation. IEEE Trans Visual Comput Graph 15(6):921\u2013928. https:\/\/doi.org\/10.1109\/TVCG.2009.111","journal-title":"IEEE Trans Visual Comput Graph"},{"key":"1008_CR27","doi-asserted-by":"publisher","unstructured":"Nanayakkara K, Peiris T (2016) Application of canonical correlation analysis to study the influence of mathematics on engineering programs: a case study. In: 2016 Moratuwa engineering research conference (MERCon), pp 137\u2013141. https:\/\/doi.org\/10.1109\/MERCon.2016.7480129","DOI":"10.1109\/MERCon.2016.7480129"},{"key":"1008_CR28","first-page":"57","volume-title":"Multi-source information fusion theory and its applications","author":"Q Pan","year":"2013","unstructured":"Pan Q, Cheng Y, Liang Y et al (2013) Multi-source information fusion theory and its applications, vol 41. Tsinghua University Press, Beijing, pp 57\u201344"},{"issue":"2","key":"1008_CR29","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1109\/MCG.2015.45","volume":"35","author":"J Posada","year":"2015","unstructured":"Posada J, Toro C, Barandiaran I et al (2015) Visual computing as a key enabling technology for industrie 4.0 and industrial internet. IEEE Comput Graph Appl 35(2):26\u201340. https:\/\/doi.org\/10.1109\/MCG.2015.45","journal-title":"IEEE Comput Graph Appl"},{"key":"1008_CR30","doi-asserted-by":"publisher","unstructured":"Putra MAP, Kim DS, Lee JM (2021) DB-BiLSTM Euclidean distance-based sensor data prediction for IoT applications. In: 2021 International conference on information and communication technology convergence (ICTC), pp 814\u2013817. https:\/\/doi.org\/10.1109\/ICTC52510.2021.9620877","DOI":"10.1109\/ICTC52510.2021.9620877"},{"key":"1008_CR31","doi-asserted-by":"publisher","unstructured":"Rashinkar P, Krushnasamy VS (2017) An overview of data fusion techniques. In: 2017 International conference on innovative mechanisms for industry applications (ICIMIA), pp 694\u2013697. https:\/\/doi.org\/10.1109\/ICIMIA.2017.7975553","DOI":"10.1109\/ICIMIA.2017.7975553"},{"issue":"9","key":"1008_CR32","doi-asserted-by":"publisher","first-page":"3626","DOI":"10.1109\/TVCG.2020.2985923","volume":"27","author":"D Rees","year":"2020","unstructured":"Rees D, Laramee RS, Brookes P et al (2020) Agentvis: visual analysis of agent behavior with hierarchical glyphs. IEEE Trans Visual Comput Graph 27(9):3626\u20133643. https:\/\/doi.org\/10.1109\/TVCG.2020.2985923","journal-title":"IEEE Trans Visual Comput Graph"},{"key":"1008_CR33","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/0377-0427(87)90125-7","volume":"20","author":"PJ Rousseeuw","year":"1987","unstructured":"Rousseeuw PJ (1987) Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J Comput Appl Math 20:53\u201365. https:\/\/doi.org\/10.1016\/0377-0427(87)90125-7","journal-title":"J Comput Appl Math"},{"issue":"12","key":"1008_CR34","doi-asserted-by":"publisher","first-page":"1993","DOI":"10.1109\/TVCG.2014.2346249","volume":"20","author":"R Sadana","year":"2014","unstructured":"Sadana R, Major T, Dove A et al (2014) Onset: a visualization technique for large-scale binary set data. IEEE Trans Visual Comput Graph 20(12):1993\u20132002. https:\/\/doi.org\/10.1109\/TVCG.2014.2346249","journal-title":"IEEE Trans Visual Comput Graph"},{"key":"1008_CR35","unstructured":"Sauro, J (2011) A practical guide to the system usability scale: background, benchmarks and best practices. Measuring Usability LLC"},{"issue":"12","key":"1008_CR36","doi-asserted-by":"publisher","first-page":"2431","DOI":"10.1109\/TVCG.2012.213","volume":"18","author":"M Sedlmair","year":"2012","unstructured":"Sedlmair M, Meyer M, Munzner T (2012) Design study methodology: reflections from the trenches and the stacks. IEEE Trans Visual Comput Graph 18(12):2431\u20132440. https:\/\/doi.org\/10.1109\/TVCG.2012.213","journal-title":"IEEE Trans Visual Comput Graph"},{"key":"1008_CR37","doi-asserted-by":"publisher","unstructured":"Seo J, Shneiderman B (2004) A rank-by-feature framework for unsupervised multidimensional data exploration using low dimensional projections. In: Proceedings of 2004 IEEE symposium on information visualization, pp 65\u201372. https:\/\/doi.org\/10.1109\/INFVIS.2004.3","DOI":"10.1109\/INFVIS.2004.3"},{"key":"1008_CR38","doi-asserted-by":"publisher","unstructured":"Shen Q, et al (2020) Visual interpretation of recurrent neural network on multi-dimensional time-series forecast. In: 2020 IEEE Pacific visualization symposium (PacificVis), pp 61\u201370. https:\/\/doi.org\/10.1109\/PacificVis48177.2020.2785","DOI":"10.1109\/PacificVis48177.2020.2785"},{"key":"1008_CR39","doi-asserted-by":"publisher","unstructured":"Shneiderman B (1996) The eyes have it: a task by data type taxonomy for information visualizations. In: Proceedings 1996 IEEE symposium on visual languages, pp 336\u2013343. https:\/\/doi.org\/10.1109\/VL.1996.545307","DOI":"10.1109\/VL.1996.545307"},{"key":"1008_CR40","doi-asserted-by":"publisher","unstructured":"Shu H, Wang Y, Jiang J (2007) Multi-rada data fusion algorithm based on k-central clustering. In: Fourth international conference on fuzzy systems and knowledge discovery (FSKD), vol 3, pp 617\u2013621. https:\/\/doi.org\/10.1109\/FSKD.2007.416","DOI":"10.1109\/FSKD.2007.416"},{"key":"1008_CR41","doi-asserted-by":"publisher","unstructured":"Sukharev J, Wang C, Ma KL, Wittenberg AT (2009) Correlation study of time-varying multivariate climate data sets. In: 2009 IEEE pacific visualization symposium, pp 161\u2013168. https:\/\/doi.org\/10.1109\/PACIFICVIS.2009.4906852","DOI":"10.1109\/PACIFICVIS.2009.4906852"},{"key":"1008_CR42","doi-asserted-by":"publisher","first-page":"915","DOI":"10.1016\/j.jmsy.2021.04.001","volume":"62","author":"YN Sun","year":"2022","unstructured":"Sun YN, Zhuang ZL, Xu HW et al (2022) Data-driven modeling and analysis based on complex network for multimode recognition of industrial processes. J Manuf Syst 62:915\u2013924. https:\/\/doi.org\/10.1016\/j.jmsy.2021.04.001","journal-title":"J Manuf Syst"},{"issue":"3","key":"1008_CR43","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1111\/j.1540-5915.1973.tb00560.x","volume":"4","author":"RL Tatham","year":"1973","unstructured":"Tatham RL, Dornoff RJ (1973) The significance and interpretation of canonical analysis. Decis Sci 4(3):343\u2013349. https:\/\/doi.org\/10.1111\/j.1540-5915.1973.tb00560.x","journal-title":"Decis Sci"},{"key":"1008_CR44","doi-asserted-by":"publisher","unstructured":"Wang H, He H, Dai J, et al (2019) Adaptive verification method for safety measures of smart substation secondary system based on cosine similarity and DNN. In: 2019 IEEE sustainable power and energy conference (iSPEC), pp 2374\u20132378. https:\/\/doi.org\/10.1109\/iSPEC48194.2019.8974914","DOI":"10.1109\/iSPEC48194.2019.8974914"},{"issue":"1","key":"1008_CR45","doi-asserted-by":"publisher","first-page":"623","DOI":"10.1109\/TVCG.2021.3114765","volume":"28","author":"Y Wang","year":"2021","unstructured":"Wang Y, Chen L, Jo J et al (2021) Joint t-SNE for comparable projections of multiple high-dimensional datasets. IEEE Trans Visual Comput Graph 28(1):623\u2013632. https:\/\/doi.org\/10.1109\/TVCG.2021.3114765","journal-title":"IEEE Trans Visual Comput Graph"},{"key":"1008_CR46","doi-asserted-by":"publisher","unstructured":"Ward MO, et al (2008) Multivariate data glyphs: principles and practice. In: Handbook of data visualization, pp 179\u2013198. https:\/\/doi.org\/10.1007\/978-3-540-33037-0_8","DOI":"10.1007\/978-3-540-33037-0_8"},{"issue":"1","key":"1008_CR47","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1109\/TVCG.2017.2745258","volume":"24","author":"J Wenskovitch","year":"2017","unstructured":"Wenskovitch J, Crandell I, Ramakrishnan N et al (2017) Towards a systematic combination of dimension reduction and clustering in visual analytics. IEEE Trans Visual Comput Graph 24(1):131\u2013141. https:\/\/doi.org\/10.1109\/TVCG.2017.2745258","journal-title":"IEEE Trans Visual Comput Graph"},{"key":"1008_CR48","doi-asserted-by":"publisher","unstructured":"Wu W, Zheng Y, Chen K, et al (2018) A visual analytics approach for equipment condition monitoring in smart factories of process industry. In: 2018 IEEE Pacific visualization symposium (PacificVis), pp 140\u2013149. https:\/\/doi.org\/10.1109\/PacificVis.2018.00026","DOI":"10.1109\/PacificVis.2018.00026"},{"issue":"3","key":"1008_CR49","doi-asserted-by":"publisher","first-page":"275","DOI":"10.1111\/cgf.14306","volume":"40","author":"H Yang","year":"2021","unstructured":"Yang H, Ballester-Ripoll R, Pajarola R (2021) Senvis: interactive tensor-based sensitivity visualization. Comput Graph Forum 40(3):275\u2013286. https:\/\/doi.org\/10.1111\/cgf.14306","journal-title":"Comput Graph Forum"},{"key":"1008_CR50","doi-asserted-by":"publisher","unstructured":"Zheng Y (2011) Canonical correlation analysis on the interaction development between China\u2019s higher education and economy. In: 2011 International conference on business management and electronic information, vol 2, pp 398\u2013400. https:\/\/doi.org\/10.1109\/ICBMEI.2011.5917931","DOI":"10.1109\/ICBMEI.2011.5917931"},{"issue":"1","key":"1008_CR51","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1109\/TVCG.2018.2864503","volume":"25","author":"Z Zhou","year":"2018","unstructured":"Zhou Z, Meng L, Tang C et al (2018) Visual abstraction of large scale geospatial origin-destination movement data. IEEE Trans Visual Comput Graph 25(1):43\u201353. https:\/\/doi.org\/10.1109\/TVCG.2018.2864503","journal-title":"IEEE Trans Visual Comput Graph"}],"container-title":["Journal of Visualization"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12650-024-01008-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s12650-024-01008-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s12650-024-01008-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T16:30:58Z","timestamp":1726245058000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s12650-024-01008-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,5]]},"references-count":51,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2024,10]]}},"alternative-id":["1008"],"URL":"https:\/\/doi.org\/10.1007\/s12650-024-01008-7","relation":{},"ISSN":["1343-8875","1875-8975"],"issn-type":[{"value":"1343-8875","type":"print"},{"value":"1875-8975","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6,5]]},"assertion":[{"value":"8 November 2023","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 March 2024","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"8 May 2024","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 June 2024","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 that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"The datasets generated during and\/or analyzed during the current study are available from the corresponding author on reasonable request.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Data availability statement"}},{"value":"This article does not include any studies of humans or animals.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Humans or animal rights"}},{"value":"This work is original research that has not been published before and is not considered for publication elsewhere.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}