{"id":"https://openalex.org/W3203751174","doi":"https://doi.org/10.1080/00224065.2021.1973931","title":"Structural tensor-on-tensor regression with interaction effects and its application to a hot rolling process","display_name":"Structural tensor-on-tensor regression with interaction effects and its application to a hot rolling process","publication_year":2021,"publication_date":"2021-09-30","ids":{"openalex":"https://openalex.org/W3203751174","doi":"https://doi.org/10.1080/00224065.2021.1973931","mag":"3203751174"},"language":"en","primary_location":{"id":"doi:10.1080/00224065.2021.1973931","doi":"https://doi.org/10.1080/00224065.2021.1973931","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00224065.2021.1973931","pdf_url":null,"source":{"id":"https://openalex.org/S166831694","display_name":"Journal of Quality Technology","issn_l":"0022-4065","issn":["0022-4065","2575-6230"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","dongbi-b","fnege-3","jufo-1","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Quality Technology","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5073208120","display_name":"Huihui Miao","orcid":"https://orcid.org/0000-0001-6404-3091","observed_orcids":["https://orcid.org/0000-0001-6404-3091"]},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huihui Miao","raw_affiliation_strings":["State Key Lab for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Lab for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100665239","display_name":"Andi Wang","orcid":"https://orcid.org/0000-0003-4925-1962","observed_orcids":["https://orcid.org/0000-0003-4925-1962"]},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andi Wang","raw_affiliation_strings":["H. Milton Stewart School of Industrial & Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"H. Milton Stewart School of Industrial & Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100451242","display_name":"Bing Li","orcid":"https://orcid.org/0000-0002-1258-976X","observed_orcids":["https://orcid.org/0000-0002-1258-976X"]},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bing Li","raw_affiliation_strings":["State Key Lab for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Lab for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022416209","display_name":"Jianjun Shi","orcid":"https://orcid.org/0000-0002-3774-9176","observed_orcids":["https://orcid.org/0000-0002-3774-9176","https://orcid.org/0000-0001-7155-7330"]},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jianjun Shi","raw_affiliation_strings":["H. Milton Stewart School of Industrial & Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"H. Milton Stewart School of Industrial & Systems Engineering, Georgia Institute of Technology, Atlanta, Georgia","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5022416209"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":1.058,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.75249501,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"54","issue":"5","first_page":"547","last_page":"560"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12303","display_name":"Tensor decomposition and applications","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2605","display_name":"Computational Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.001500000013038516,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.0012000000569969416,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interaction-effects","display_name":"interaction effects","score":0.9129999876022339},{"id":"https://openalex.org/keywords/tensor-decomposition","display_name":"tensor decomposition","score":0.44200000166893005},{"id":"https://openalex.org/keywords/hot-rolling","display_name":"hot rolling","score":0.6240000128746033},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"curse of dimensionality","score":0.7440000176429749},{"id":"https://openalex.org/keywords/regularization","display_name":"regularization","score":0.328000009059906}],"concepts":[{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.8565840125083923},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.7004045248031616},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5729885697364807},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.542102038860321},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5166033506393433},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49283576011657715},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4329933822154999},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4060162305831909},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3702549934387207},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.331464558839798},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3072638511657715},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22678682208061218},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17755505442619324},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/00224065.2021.1973931","doi":"https://doi.org/10.1080/00224065.2021.1973931","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00224065.2021.1973931","pdf_url":null,"source":{"id":"https://openalex.org/S166831694","display_name":"Journal of Quality Technology","issn_l":"0022-4065","issn":["0022-4065","2575-6230"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","dongbi-b","fnege-3","jufo-1","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Quality Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2101593431","https://openalex.org/W2103367708","https://openalex.org/W2121739212","https://openalex.org/W2136002544","https://openalex.org/W2138019504","https://openalex.org/W2295513804","https://openalex.org/W2378988337","https://openalex.org/W2559655401","https://openalex.org/W2569250433","https://openalex.org/W2604272474","https://openalex.org/W2605501210","https://openalex.org/W2766560177","https://openalex.org/W2790941295","https://openalex.org/W2913535645","https://openalex.org/W2964154549","https://openalex.org/W3006217815","https://openalex.org/W3033283747","https://openalex.org/W3037547291","https://openalex.org/W3184747521"],"related_works":["https://openalex.org/W3005726471","https://openalex.org/W2328189234","https://openalex.org/W4391527602","https://openalex.org/W7127576292","https://openalex.org/W3006217815","https://openalex.org/W4281643854","https://openalex.org/W2273080193","https://openalex.org/W4299412105","https://openalex.org/W4414976141","https://openalex.org/W3197547380"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,68],"method":[4,26,83],"of":[5,18,31,43,72,80,86],"Structural":[6],"Tensor-On-Tensosr":[7],"regression":[8],"considering":[9],"the":[10,16,24,28,32,40,44,73,78,81],"Interaction":[11],"effects":[12],"(STOTI).":[13],"To":[14],"alleviate":[15],"curse":[17],"dimensionality":[19],"and":[20,34,67,88],"resolve":[21],"computational":[22],"challenge,":[23],"STOTI":[25],"describes":[27],"specific":[29],"structure":[30],"main":[33],"interaction":[35],"effect":[36],"tensors":[37],"indicated":[38],"by":[39],"prior":[41],"knowledge":[42],"data":[45],"using":[46],"corresponding":[47],"regularization":[48],"terms":[49,85],"on":[50],"their":[51],"appropriate":[52],"modes.":[53],"We":[54],"designed":[55],"an":[56],"ADMM":[57],"consensus":[58],"algorithm":[59],"to":[60],"estimate":[61],"these":[62],"coefficient":[63],"tensors.":[64],"Extensive":[65],"simulations":[66],"real":[69],"case":[70],"study":[71],"hot":[74],"rolling":[75],"process":[76],"verified":[77],"superiority":[79],"proposed":[82],"in":[84],"estimation":[87],"prediction":[89],"accuracy.":[90]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2021-10-11T00:00:00"}
