{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T07:02:36Z","timestamp":1760598156675,"version":"3.37.3"},"reference-count":56,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2022,5,27]],"date-time":"2022-05-27T00:00:00Z","timestamp":1653609600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,5,27]],"date-time":"2022-05-27T00:00:00Z","timestamp":1653609600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"crossref","award":["U21B2006"],"award-info":[{"award-number":["U21B2006"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100013314","name":"111 Project","doi-asserted-by":"crossref","award":["B18039"],"award-info":[{"award-number":["B18039"]}],"id":[{"id":"10.13039\/501100013314","id-type":"DOI","asserted-by":"crossref"}]},{"name":"the Program for Oversea Talent by Chinese Central Government."},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"crossref","award":["61771361"],"award-info":[{"award-number":["61771361"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Shaanxi Youth Innovation Team Project"},{"name":"NSF IIS","award":["1812699"],"award-info":[{"award-number":["1812699"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Comput Vis"],"published-print":{"date-parts":[[2022,8]]},"DOI":"10.1007\/s11263-022-01624-6","type":"journal-article","created":{"date-parts":[[2022,5,27]],"date-time":"2022-05-27T08:03:54Z","timestamp":1653638634000},"page":"1920-1937","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph Captioning"],"prefix":"10.1007","volume":"130","author":[{"given":"Dandan","family":"Guo","sequence":"first","affiliation":[]},{"given":"Ruiying","family":"Lu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5151-9388","authenticated-orcid":false,"given":"Bo","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Zequn","family":"Zeng","sequence":"additional","affiliation":[]},{"given":"Mingyuan","family":"Zhou","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,5,27]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Anderson, P., He, X., Buehler, C., Teney, D., Johnson, M., Gould, S., & Zhang, L. (2018). Bottom-up and top-down attention for image captioning and visual question answering. In Proceedings of the IEEE conference on Computer Vision and Pattern Recognition (pp. 6077\u20136086).","key":"1624_CR1","DOI":"10.1109\/CVPR.2018.00636"},{"issue":"Jan","key":"1624_CR2","first-page":"993","volume":"3","author":"DM Blei","year":"2003","unstructured":"Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent Dirichlet allocation. Journal of Machine Learning Research, 3(Jan), 993\u20131022.","journal-title":"Journal of Machine Learning Research"},{"issue":"131","key":"1624_CR3","first-page":"1","volume":"20","author":"S Burkhardt","year":"2019","unstructured":"Burkhardt, S., & Kramer, S. (2019). Decoupling sparsity and smoothness in the Dirichlet variational autoencoder topic model. Journal of Machine Learning Research, 20(131), 1\u201327.","journal-title":"Journal of Machine Learning Research"},{"doi-asserted-by":"crossref","unstructured":"Chatterjee, M., & Schwing, AG .(2018) . Diverse and coherent paragraph generation from images. In Proceedings of the European conference on computer vision (ECCV) (pp. 729\u2013744).","key":"1624_CR4","DOI":"10.1007\/978-3-030-01216-8_45"},{"doi-asserted-by":"crossref","unstructured":"Chen, F., Xie, S., Li, X., Li, S., Tang, J., & Wang, T. (2019). What topics do images say: A neural image captioning model with topic representation. In 2019 IEEE international conference on multimedia & expo workshops (ICMEW) (pp. 447\u2013452), IEEE.","key":"1624_CR5","DOI":"10.1109\/ICMEW.2019.00083"},{"doi-asserted-by":"crossref","unstructured":"Chen, Z., Song, Y., Chang, T. H., & Wan, X. (2020). Generating radiology reports via memory-driven transformer. In Proceedings of the 2020 conference on empirical methods in natural language processing (EMNLP) (pp. 1439\u20131449).","key":"1624_CR6","DOI":"10.18653\/v1\/2020.emnlp-main.112"},{"doi-asserted-by":"crossref","unstructured":"Cho, K., van Merri\u00ebnboer, B., Gulcehre, C., Bahdanau, D., Bougares, F., Schwenk, H., & Bengio, Y. (2014). Learning phrase representations using RNN encoder\u2013decoder for statistical machine translation. In Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP) (pp. 1724\u20131734).","key":"1624_CR7","DOI":"10.3115\/v1\/D14-1179"},{"unstructured":"Cong, Y., Chen, B., Liu, H., & Zhou, M. (2017). Deep latent Dirichlet allocation with topic-layer-adaptive stochastic gradient Riemannian MCMC. In International conference on machine learning (pp. 864\u2013873), PMLR.","key":"1624_CR8"},{"doi-asserted-by":"crossref","unstructured":"Cornia, M., Stefanini, M., Baraldi, L., & Cucchiara, R. (2020). Meshed-memory transformer for image captioning. In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition (pp. 10578\u201310587).","key":"1624_CR9","DOI":"10.1109\/CVPR42600.2020.01059"},{"issue":"2","key":"1624_CR10","doi-asserted-by":"publisher","first-page":"304","DOI":"10.1093\/jamia\/ocv080","volume":"23","author":"D Demner-Fushman","year":"2016","unstructured":"Demner-Fushman, D., Kohli, M. D., Rosenman, M. B., Shooshan, S. E., Rodriguez, L., Antani, S., Thoma, G. R., & McDonald, C. J. (2016). Preparing a collection of radiology examinations for distribution and retrieval. Journal of the American Medical Informatics Association, 23(2), 304\u2013310.","journal-title":"Journal of the American Medical Informatics Association"},{"doi-asserted-by":"crossref","unstructured":"Denkowski, M., & Lavie, A. (2014). Meteor universal: Language specific translation evaluation for any target language. In Proceedings of the ninth workshop on statistical machine translation (pp. 376\u2013380).","key":"1624_CR11","DOI":"10.3115\/v1\/W14-3348"},{"issue":"3","key":"1624_CR12","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3390891","volume":"16","author":"H Fan","year":"2020","unstructured":"Fan, H., Zhu, L., Yang, Y., & Wu, F. (2020). Recurrent attention network with reinforced generator for visual dialog. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 16(3), 1\u201316.","journal-title":"ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)"},{"issue":"12","key":"1624_CR13","doi-asserted-by":"publisher","first-page":"2321","DOI":"10.1109\/TPAMI.2016.2642953","volume":"39","author":"K Fu","year":"2017","unstructured":"Fu, K., Jin, J., Cui, R., Sha, F., & Zhang, C. (2017). Aligning where to see and what to tell: Image captioning with region-based attention and scene-specific contexts. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39(12), 2321\u20132334.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"unstructured":"Goodfellow, .I, Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2014). Generative adversarial nets. In Advances in neural information processing systems (pp. 2672\u20132680).","key":"1624_CR14"},{"doi-asserted-by":"crossref","unstructured":"Graves, A., Mohamed, A., & Hinton, G. (2013). Speech recognition with deep recurrent neural networks. In 2013 IEEE international conference on acoustics, speech and signal processing (pp. 6645\u20136649), IEEE.","key":"1624_CR15","DOI":"10.1109\/ICASSP.2013.6638947"},{"key":"1624_CR16","doi-asserted-by":"publisher","first-page":"5228","DOI":"10.1073\/pnas.0307752101","volume":"101","author":"TL Griffiths","year":"2004","unstructured":"Griffiths, T. L., & Steyvers, M. (2004). Finding scientific topics. Proceedings of the National Academy of Sciences, 101, 5228\u20135235.","journal-title":"Proceedings of the National Academy of Sciences"},{"unstructured":"Guo, D., Chen, B., Lu, R., & Zhou, M.(2020). Recurrent hierarchical topic-guided rnn for language generation. In International conference on machine learning (pp. 3810\u20133821), PMLR.","key":"1624_CR17"},{"issue":"8","key":"1624_CR18","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., & Schmidhuber, J. (1997). Long short-term memory. Neural Computation, 9(8), 1735\u20131780.","journal-title":"Neural Computation"},{"doi-asserted-by":"crossref","unstructured":"Huang, L., Wang, W., Chen, J., & Wei, X. Y. (2019). Attention on attention for image captioning. In Proceedings of the IEEE\/CVF international conference on computer vision (pp. 4634\u20134643).","key":"1624_CR19","DOI":"10.1109\/ICCV.2019.00473"},{"doi-asserted-by":"crossref","unstructured":"Johnson, A. E., Pollard, T. J., Greenbaum, N. R., Lungren, M. P., Deng, C.y., Peng, Y., Lu, Z., Mark, R. G., Berkowitz, S. J., & Horng, S. (2019). MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs. arXiv\u00a0preprint arXiv:1901.07042","key":"1624_CR20","DOI":"10.1038\/s41597-019-0322-0"},{"doi-asserted-by":"crossref","unstructured":"Karpathy, A., & Fei-Fei, L. (2015). Deep visual-semantic alignments for generating image descriptions. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 3128\u20133137).","key":"1624_CR21","DOI":"10.1109\/CVPR.2015.7298932"},{"unstructured":"Kingma, D. P., & Ba, J. (2015). Adam: A method for stochastic optimization. In 3rd International Conference on Learning Representations.","key":"1624_CR22"},{"unstructured":"Kingma, D. P., & Welling, M. (2014). Auto-encoding variational Bayes. In 2nd International conference on learning representations.","key":"1624_CR23"},{"doi-asserted-by":"crossref","unstructured":"Krause, J., Johnson, J., Krishna, R., & Fei-Fei, L. (2017). A hierarchical approach for generating descriptive image paragraphs. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 317\u2013325).","key":"1624_CR24","DOI":"10.1109\/CVPR.2017.356"},{"issue":"1","key":"1624_CR25","doi-asserted-by":"publisher","first-page":"32","DOI":"10.1007\/s11263-016-0981-7","volume":"123","author":"R Krishna","year":"2017","unstructured":"Krishna, R., Zhu, Y., Groth, O., Johnson, J., Hata, K., Kravitz, J., Chen, S., Kalantidis, Y., Li, L. J., Shamma, D. A., et al. (2017). Visual genome: Connecting language and vision using crowdsourced dense image annotations. International Journal of Computer Vision, 123(1), 32\u201373.","journal-title":"International Journal of Computer Vision"},{"doi-asserted-by":"crossref","unstructured":"Li, G., Zhu, L., Liu, P., & Yang, Y.(2019). Entangled transformer for image captioning. In Proceedings of the IEEE\/CVF international conference on computer vision (pp. 8928\u20138937).","key":"1624_CR26","DOI":"10.1109\/ICCV.2019.00902"},{"doi-asserted-by":"crossref","unstructured":"Liang, X., Hu, Z., Zhang, H., Gan, C., & Xing, E. P. (2017). Recurrent topic-transition GAN for visual paragraph generation. In Proceedings of the IEEE international conference on computer vision (pp. 3362\u20133371).","key":"1624_CR27","DOI":"10.1109\/ICCV.2017.364"},{"doi-asserted-by":"crossref","unstructured":"Manning, C. D., Surdeanu, M., Bauer, J., Finkel, J. R., Bethard, S., & McClosky, D. (2014). The stanford corenlp natural language processing toolkit. In Proceedings of 52nd annual meeting of the association for computational linguistics: system demonstrations (pp. 55\u201360).","key":"1624_CR28","DOI":"10.3115\/v1\/P14-5010"},{"doi-asserted-by":"crossref","unstructured":"Mao, Y., Zhou, C., Wang, X., & Li, R. (2018). Show and tell more: Topic-oriented multi-sentence image captioning. In Proceedings of the twenty-seventh international joint conference on artificial intelligence (pp. 4258\u20134264).","key":"1624_CR29","DOI":"10.24963\/ijcai.2018\/592"},{"doi-asserted-by":"crossref","unstructured":"Melas-Kyriazi, L., Rush, A. M., & Han, G. (2018). Training for diversity in image paragraph captioning. In Proceedings of the 2018 conference on empirical methods in natural language processing (pp. 757\u2013761).","key":"1624_CR30","DOI":"10.18653\/v1\/D18-1084"},{"unstructured":"Miao, Y., Yu, L., & Blunsom, P.(2016). Neural variational inference for text processing. In International conference on machine learning (pp. 1727\u20131736), PMLR.","key":"1624_CR31"},{"issue":"1","key":"1624_CR32","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1007\/s11263-015-0840-y","volume":"119","author":"V Ordonez","year":"2016","unstructured":"Ordonez, V., Han, X., Kuznetsova, P., Kulkarni, G., Mitchell, M., Yamaguchi, K., Stratos, K., Goyal, A., Dodge, J., Mensch, A., et al. (2016). Large scale retrieval and generation of image descriptions. International Journal of Computer Vision, 119(1), 46\u201359.","journal-title":"International Journal of Computer Vision"},{"doi-asserted-by":"crossref","unstructured":"Papineni, K., Roukos, S., Ward, T., & Zhu, W. J. (2002). Bleu: a method for automatic evaluation of machine translation. In Proceedings of the 40th annual meeting of the association for computational linguistics (pp. 311\u2013318).","key":"1624_CR33","DOI":"10.3115\/1073083.1073135"},{"unstructured":"Radford, A., Narasimhan, K., Salimans, T., & Sutskever, I. (2018). Improving language understanding by generative pre-training. OpenAI Blog","key":"1624_CR34"},{"unstructured":"Ren, S., He, K., Girshick, R. B., & Sun, J.(2015). Faster R-CNN: Towards real-time object detection with region proposal networks. In Advances in neural information processing systems (pp. 91\u201399).","key":"1624_CR35"},{"doi-asserted-by":"crossref","unstructured":"Shi, Y., Liu, Y., Feng, F., Li, R., Ma, Z., & Wang, X. (2021). S2TD: A tree-structured decoder for image paragraph captioning. In ACM Multimedia Asia (pp. 1\u20137).","key":"1624_CR36","DOI":"10.1145\/3469877.3490585"},{"unstructured":"Simonyan, K., & Zisserman, A. (2015). Very deep convolutional networks for large-scale image recognition. In 3rd international conference on learning representations.","key":"1624_CR37"},{"unstructured":"Srivastava, A., & Sutton, C. (2017). Autoencoding variational inference for topic models. In International conference on learning representations","key":"1624_CR38"},{"issue":"2","key":"1624_CR39","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3303083","volume":"15","author":"J Tang","year":"2019","unstructured":"Tang, J., Wang, J., Li, Z., Fu, J., & Mei, T. (2019). Show, reward, and tell: Adversarial visual story generation. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 15(2), 1\u201320.","journal-title":"ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM)"},{"unstructured":"Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., & Polosukhin, I. (2017). Attention is all you need. In Advances in neural information processing systems (pp. 5998\u20136008).","key":"1624_CR40"},{"doi-asserted-by":"crossref","unstructured":"Vedantam, R., Lawrence\u00a0Zitnick, C., & Parikh, D. (2015). Cider: Consensus-based image description evaluation. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 4566\u20134575).","key":"1624_CR41","DOI":"10.1109\/CVPR.2015.7299087"},{"doi-asserted-by":"crossref","unstructured":"Vinyals, O., Toshev, A., Bengio, S., & Erhan, D. (2015). Show and tell: A neural image caption generator. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 3156\u20133164).","key":"1624_CR42","DOI":"10.1109\/CVPR.2015.7298935"},{"doi-asserted-by":"crossref","unstructured":"Wang, J., Pan, Y., Yao, T., Tang, J., & Mei, T. (2019). Convolutional auto-encoding of sentence topics for image paragraph generation. In Proceedings of the twenty-eighth international joint conference on artificial intelligence (pp. 940\u2013946).","key":"1624_CR43","DOI":"10.24963\/ijcai.2019\/132"},{"doi-asserted-by":"crossref","unstructured":"Wang, J., Tang, J., Yang, M., Bai, X., & Luo, J. (2021). Improving OCR-based image captioning by incorporating geometrical relationship. In Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition (pp. 1306\u20131315).","key":"1624_CR44","DOI":"10.1109\/CVPR46437.2021.00136"},{"doi-asserted-by":"crossref","unstructured":"Xu, C., Li, Y., Li, C., Ao, X., Yang, M., & Tian, J. (2020). Interactive key-value memory-augmented attention for image paragraph captioning. In Proceedings of the 28th international conference on computational linguistics (pp. 3132\u20133142).","key":"1624_CR45","DOI":"10.18653\/v1\/2020.coling-main.279"},{"key":"1624_CR46","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106730","volume":"214","author":"C Xu","year":"2021","unstructured":"Xu, C., Yang, M., Ao, X., Shen, Y., Xu, R., & Tian, J. (2021). Retrieval-enhanced adversarial training with dynamic memory-augmented attention for image paragraph captioning. Knowledge-Based Systems, 214, 106730.","journal-title":"Knowledge-Based Systems"},{"unstructured":"Xu, K., Ba, J., Kiros, R., Cho, K., Courville, A., Salakhudinov, R., Zemel, R., & Bengio, Y. (2015a). Show, attend and tell: Neural image caption generation with visual attention. In International conference on machine learning| (pp. 2048\u20132057), PMLR.","key":"1624_CR47"},{"doi-asserted-by":"crossref","unstructured":"Xu, Z., Yang, Y., & Hauptmann, A. G. (2015b). A discriminative CNN video representation for event detection. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 1798\u20131807).","key":"1624_CR48","DOI":"10.1109\/CVPR.2015.7298789"},{"issue":"6","key":"1624_CR49","doi-asserted-by":"publisher","first-page":"2743","DOI":"10.1109\/TIP.2018.2889922","volume":"28","author":"N Yu","year":"2018","unstructured":"Yu, N., Hu, X., Song, B., Yang, J., & Zhang, J. (2018). Topic-oriented image captioning based on order-embedding. IEEE Transactions on Image Processing, 28(6), 2743\u20132754.","journal-title":"IEEE Transactions on Image Processing"},{"unstructured":"Zhang, H., Chen, B., Guo, D., & Zhou, M. (2018). WHAI: Weibull hybrid autoencoding inference for deep topic modeling. In International conference on learning representations","key":"1624_CR50"},{"unstructured":"Zhang, H., Chen, B., Tian, L., Wang, Z., & Zhou, M. (2020). Variational hetero-encoder randomized generative adversarial networks for joint image-text modeling. In International conference on learning representations","key":"1624_CR51"},{"doi-asserted-by":"crossref","unstructured":"Zhao, H., Phung, D., Huynh, V., Jin, Y., Du, L., & Buntine, W. (2021). Topic modelling meets deep neural networks: A survey. In The 30th International Joint Conference on Artificial Intelligence (IJCAI) (pp. 4713\u20134720).","key":"1624_CR52","DOI":"10.24963\/ijcai.2021\/638"},{"unstructured":"Zhou, M., Hannah, L., Dunson, D., & Carin, L. (2012). Beta-negative binomial process and Poisson factor analysis. In Artificial intelligence and statistics (pp. 1462\u20131471), PMLR.","key":"1624_CR53"},{"issue":"163","key":"1624_CR54","first-page":"1","volume":"17","author":"M Zhou","year":"2016","unstructured":"Zhou, M., Cong, Y., & Chen, B. (2016). Augmentable gamma belief networks. Journal of Machine Learning Research, 17(163), 1\u201344.","journal-title":"Journal of Machine Learning Research"},{"key":"1624_CR55","doi-asserted-by":"publisher","first-page":"668","DOI":"10.1109\/TMM.2021.3057503","volume":"24","author":"L Zhu","year":"2022","unstructured":"Zhu, L., Fan, H., Luo, Y., Xu, M., & Yang, Y. (2022). Temporal cross-layer correlation mining for action recognition. IEEE Transactions on Multimedia, 24, 668\u2013676. https:\/\/doi.org\/10.1109\/TMM.2021.3057503","journal-title":"IEEE Transactions on Multimedia"},{"doi-asserted-by":"crossref","unstructured":"Zhu, Z., Xue, Z., & Yuan, Z .(2018). Topic-guided attention for image captioning. In 2018 25th IEEE international conference on image processing (ICIP) (pp. 2615\u20132619), IEEE.","key":"1624_CR56","DOI":"10.1109\/ICIP.2018.8451083"}],"container-title":["International Journal of Computer Vision"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11263-022-01624-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11263-022-01624-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11263-022-01624-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,14]],"date-time":"2022-07-14T09:16:24Z","timestamp":1657790184000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11263-022-01624-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,27]]},"references-count":56,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2022,8]]}},"alternative-id":["1624"],"URL":"https:\/\/doi.org\/10.1007\/s11263-022-01624-6","relation":{},"ISSN":["0920-5691","1573-1405"],"issn-type":[{"type":"print","value":"0920-5691"},{"type":"electronic","value":"1573-1405"}],"subject":[],"published":{"date-parts":[[2022,5,27]]},"assertion":[{"value":"7 April 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 April 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 May 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}