{"id":"https://openalex.org/W4319262356","doi":"https://doi.org/10.1016/j.neunet.2023.01.037","title":"Enhanced tensor low-rank representation learning for multi-view clustering","display_name":"Enhanced tensor low-rank representation learning for multi-view clustering","publication_year":2023,"publication_date":"2023-01-28","ids":{"openalex":"https://openalex.org/W4319262356","doi":"https://doi.org/10.1016/j.neunet.2023.01.037","pmid":"https://pubmed.ncbi.nlm.nih.gov/36738492"},"language":"en","primary_location":{"id":"doi:10.1016/j.neunet.2023.01.037","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.neunet.2023.01.037","pdf_url":null,"source":{"id":"https://openalex.org/S123019304","display_name":"Neural Networks","issn_l":"0893-6080","issn":["0893-6080","1879-2782"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Networks","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5027795436","display_name":"Deyan Xie","orcid":"https://orcid.org/0000-0003-3517-9007"},"institutions":[{"id":"https://openalex.org/I146773158","display_name":"Qingdao Agricultural University","ror":"https://ror.org/051qwcj72","country_code":"CN","type":"education","lineage":["https://openalex.org/I146773158"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Deyan Xie","raw_affiliation_strings":["School of Science and Information Science, Qingdao Agricultural University, Qingdao, China. Electronic address: xdy0306@163.com","School of Science and Information Science, Qingdao Agricultural University, Qingdao, China"],"raw_orcid":"https://orcid.org/0000-0003-3517-9007","affiliations":[{"raw_affiliation_string":"School of Science and Information Science, Qingdao Agricultural University, Qingdao, China. Electronic address: xdy0306@163.com","institution_ids":["https://openalex.org/I146773158"]},{"raw_affiliation_string":"School of Science and Information Science, Qingdao Agricultural University, Qingdao, China","institution_ids":["https://openalex.org/I146773158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048220966","display_name":"Quanxue Gao","orcid":"https://orcid.org/0000-0001-5082-2940"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Quanxue Gao","raw_affiliation_strings":["School of Telecommunications Engineering, Xidian University, Xi'an, China. Electronic address: qxgao@xidian.edu.cn","School of Telecommunications Engineering, Xidian University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi'an, China. Electronic address: qxgao@xidian.edu.cn","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Telecommunications Engineering, Xidian University, Xi'an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008622229","display_name":"Ming Yang","orcid":"https://orcid.org/0000-0003-1810-1566"},"institutions":[{"id":"https://openalex.org/I155997454","display_name":"University of Evansville","ror":"https://ror.org/04dt46w81","country_code":"US","type":"education","lineage":["https://openalex.org/I155997454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming Yang","raw_affiliation_strings":["Mathematics department of the University of Evansville, Evansville, IN 47722, United States of America. Electronic address: yangmingmath@gmail.com","Mathematics department of the University of Evansville, Evansville, IN 47722, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematics department of the University of Evansville, Evansville, IN 47722, United States of America. Electronic address: yangmingmath@gmail.com","institution_ids":["https://openalex.org/I155997454"]},{"raw_affiliation_string":"Mathematics department of the University of Evansville, Evansville, IN 47722, United States of America","institution_ids":["https://openalex.org/I155997454"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5027795436","https://openalex.org/A5048220966"],"corresponding_institution_ids":["https://openalex.org/I146773158","https://openalex.org/I149594827"],"apc_list":{"value":3350,"currency":"USD","value_usd":3350},"apc_paid":null,"fwci":8.8726,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.9907155,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"161","issue":null,"first_page":"93","last_page":"104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.7128803133964539},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6672499179840088},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5826128125190735},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49680426716804504},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.45641380548477173},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4527932405471802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3687925636768341},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.1170397698879242},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.10428395867347717}],"concepts":[{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.7128803133964539},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6672499179840088},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5826128125190735},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49680426716804504},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.45641380548477173},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4527932405471802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3687925636768341},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.1170397698879242},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.10428395867347717}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1016/j.neunet.2023.01.037","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.neunet.2023.01.037","pdf_url":null,"source":{"id":"https://openalex.org/S123019304","display_name":"Neural Networks","issn_l":"0893-6080","issn":["0893-6080","1879-2782"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Networks","raw_type":"journal-article"},{"id":"pmid:36738492","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36738492","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural networks : the official journal of the International Neural Network Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W1606778734","https://openalex.org/W1993962865","https://openalex.org/W1997201895","https://openalex.org/W2002260165","https://openalex.org/W2009234819","https://openalex.org/W2023916691","https://openalex.org/W2030927653","https://openalex.org/W2043571470","https://openalex.org/W2056639756","https://openalex.org/W2080843093","https://openalex.org/W2085265340","https://openalex.org/W2090101874","https://openalex.org/W2125742596","https://openalex.org/W2142782401","https://openalex.org/W2146610201","https://openalex.org/W2150903798","https://openalex.org/W2152714163","https://openalex.org/W2187089797","https://openalex.org/W2197707282","https://openalex.org/W2199534117","https://openalex.org/W2503934233","https://openalex.org/W2565835729","https://openalex.org/W2587115404","https://openalex.org/W2605146283","https://openalex.org/W2741998188","https://openalex.org/W2748391982","https://openalex.org/W2752197020","https://openalex.org/W2763081248","https://openalex.org/W2787885212","https://openalex.org/W2797653144","https://openalex.org/W2809368372","https://openalex.org/W2884277568","https://openalex.org/W2898233200","https://openalex.org/W2904393137","https://openalex.org/W2909502737","https://openalex.org/W2913094719","https://openalex.org/W2914816584","https://openalex.org/W2941688763","https://openalex.org/W2949579163","https://openalex.org/W2965475674","https://openalex.org/W2970354123","https://openalex.org/W2989773826","https://openalex.org/W2997263929","https://openalex.org/W3012002796","https://openalex.org/W3024343454","https://openalex.org/W3089039599","https://openalex.org/W3093538588","https://openalex.org/W3102775077","https://openalex.org/W3111290000","https://openalex.org/W3120622179","https://openalex.org/W3124266267","https://openalex.org/W3133816170","https://openalex.org/W3165976439","https://openalex.org/W3169978599","https://openalex.org/W4210792995","https://openalex.org/W4214740783","https://openalex.org/W4238574192","https://openalex.org/W6631216910","https://openalex.org/W6635730818","https://openalex.org/W6640861363","https://openalex.org/W6671749187","https://openalex.org/W6676666794","https://openalex.org/W6680784586","https://openalex.org/W6731595289","https://openalex.org/W6783807380"],"related_works":["https://openalex.org/W2950186459","https://openalex.org/W2170114491","https://openalex.org/W2897298721","https://openalex.org/W2242624680","https://openalex.org/W2136127937","https://openalex.org/W4290987221","https://openalex.org/W2890370013","https://openalex.org/W2216309014","https://openalex.org/W2569661359","https://openalex.org/W3199841771"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":6}],"updated_date":"2026-04-28T14:05:53.105641","created_date":"2025-10-10T00:00:00"}