{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T09:10:52Z","timestamp":1777367452159,"version":"3.51.4"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"8","license":[{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62073022"],"award-info":[{"award-number":["62073022"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Neural Netw. Learning Syst."],"published-print":{"date-parts":[[2025,8]]},"DOI":"10.1109\/tnnls.2025.3527581","type":"journal-article","created":{"date-parts":[[2025,1,16]],"date-time":"2025-01-16T13:42:40Z","timestamp":1737034960000},"page":"14937-14948","source":"Crossref","is-referenced-by-count":9,"title":["Industrial Data Imputation Based on Multiscale Spatiotemporal Information Embedding With Asymmetrical Transformer"],"prefix":"10.1109","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3047-7219","authenticated-orcid":false,"given":"Xing-Yuan","family":"Li","sequence":"first","affiliation":[{"name":"College of Information Science and Technology (CIST), Beijing University of Chemical Technology (BUCT), Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5490-2892","authenticated-orcid":false,"given":"Yuan","family":"Xu","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology (CIST), Beijing University of Chemical Technology (BUCT), Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2719-0516","authenticated-orcid":false,"given":"Qun-Xiong","family":"Zhu","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology (CIST), Beijing University of Chemical Technology (BUCT), Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9999-3679","authenticated-orcid":false,"given":"Yan-Lin","family":"He","sequence":"additional","affiliation":[{"name":"College of Information Science and Technology (CIST), Beijing University of Chemical Technology (BUCT), Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3311070"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3231849"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2023.3293567"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2023.3313631"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2017.2756872"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2023.3248059"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2023.3240980"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2023.3287895"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2021.3132037"},{"key":"ref10","first-page":"12","volume-title":"Data science challenges in chemical manufacturing","author":"Braun","year":"2020"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-019-09709-4"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2018.12.010"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3113608"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.chemolab.2004.11.004"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.9b02513"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2013.01.021"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.2307\/2984875"},{"issue":"1","key":"ref18","first-page":"5","article-title":"K-nearest neighbor in missing data imputation","volume":"5","author":"Malarvizhi","year":"2012","journal-title":"Int. J. Eng. Res. Dev"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2022.105737"},{"key":"ref20","first-page":"5689","article-title":"Gain: Missing data imputation using generative adversarial nets","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Yoon"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2018.2874712"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2023.3281336"},{"key":"ref23","article-title":"Attention is all you need","author":"Vaswani","year":"2017","journal-title":"arXiv:1706.03762"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3400008"},{"key":"ref25","article-title":"ITransformer: Inverted transformers are effective for time series forecasting","author":"Liu","year":"2023","journal-title":"arXiv:2310.06625"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.jprocont.2022.06.011"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3017200"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2020.2984443"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3075515"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2023.3333921"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v37i9.26317"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2023.3287758"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btr597"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2023.3319677"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3906\/elk-1807-87"},{"key":"ref36","volume-title":"Soft Sensors for Monitoring and Control of Industrial Processes","volume":"22","author":"Fortuna","year":"2007"}],"container-title":["IEEE Transactions on Neural Networks and Learning Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/5962385\/11114436\/10843972.pdf?arnumber=10843972","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,6]],"date-time":"2025-08-06T18:01:12Z","timestamp":1754503272000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10843972\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8]]},"references-count":36,"journal-issue":{"issue":"8"},"URL":"https:\/\/doi.org\/10.1109\/tnnls.2025.3527581","relation":{},"ISSN":["2162-237X","2162-2388"],"issn-type":[{"value":"2162-237X","type":"print"},{"value":"2162-2388","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8]]}}}