{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T21:15:02Z","timestamp":1773436502808,"version":"3.50.1"},"reference-count":38,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3416345","type":"journal-article","created":{"date-parts":[[2024,6,18]],"date-time":"2024-06-18T13:57:51Z","timestamp":1718719071000},"page":"85745-85760","source":"Crossref","is-referenced-by-count":0,"title":["Forecasting a Journal Impact Factor Under Missing Values Based on Machine Learning"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-1472-6517","authenticated-orcid":false,"given":"Van","family":"Hua","sequence":"first","affiliation":[{"name":"Faculty of Information Technology, HUTECH University, Ho Chi Minh City, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1882-6877","authenticated-orcid":false,"given":"Bao","family":"Huynh","sequence":"additional","affiliation":[{"name":"Faculty of Information Technology, HUTECH University, Ho Chi Minh City, Vietnam"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1080\/00273171.2020.1743630"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.chaos.2020.110189"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17325"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.12.118"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1142\/S2196888823500033"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2023.3276628"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3140377"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.petrol.2019.106682"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.1c04712"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1021\/acs.iecr.3c01639"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1080\/08839514.2019.1637138"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1080\/23789689.2019.1600960"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s41666-020-00069-1"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1186\/s12874-017-0442-1"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2022.3166643"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1093\/bib\/bbab489"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/GECOST55694.2022.10010499"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.cageo.2021.104763"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICASI55125.2022.9774453"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1080\/01969722.2023.2247257"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/a16090422"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.56651\/lqdtu.jst.v12.n1.661.ict"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-020-04755-5"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s42421-021-00043-2"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-89880-9_34"},{"key":"ref26","volume-title":"Missing values imputation on multivariate time series in the field of agriculture","author":"Andreadis","year":"2022"},{"key":"ref27","volume-title":"A deep learning model to impute missing data in time series","author":"Du","year":"2021"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/RIVF51545.2021.9642138"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2020.11.035"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/RIVF55975.2022.10013809"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.119619"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/e25010137"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2895737"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1002\/sres.2142"},{"issue":"1","key":"ref35","doi-asserted-by":"crossref","first-page":"937","DOI":"10.1016\/j.aej.2021.04.096","article-title":"Missing data imputation of MAGDAS-9\u2019s ground electromagnetism with supervised machine learning and conventional statistical analysis models","volume":"61","author":"Dalila","year":"2022","journal-title":"Alexandria Eng. J."},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-019-09709-4"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-021-00516-9"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CSIT49958.2020.9322042"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10380310\/10559987.pdf?arnumber=10559987","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T19:54:43Z","timestamp":1773431683000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10559987\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":38,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3416345","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}