{"id":"https://openalex.org/W3172256628","doi":"https://doi.org/10.1016/j.knosys.2021.107236","title":"Orthogonal Nonnegative Matrix Factorization using a novel deep Autoencoder Network","display_name":"Orthogonal Nonnegative Matrix Factorization using a novel deep Autoencoder Network","publication_year":2021,"publication_date":"2021-06-15","ids":{"openalex":"https://openalex.org/W3172256628","doi":"https://doi.org/10.1016/j.knosys.2021.107236","mag":"3172256628"},"language":"en","primary_location":{"id":"doi:10.1016/j.knosys.2021.107236","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.knosys.2021.107236","pdf_url":null,"source":{"id":"https://openalex.org/S10169007","display_name":"Knowledge-Based Systems","issn_l":"0950-7051","issn":["0950-7051","1872-7409"],"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":"Knowledge-Based Systems","raw_type":"journal-article"},"type":"article","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/A5069149938","display_name":"Mingming Yang","orcid":"https://orcid.org/0000-0002-1842-8668"},"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":"Mingming Yang","raw_affiliation_strings":["School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-1842-8668","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046202286","display_name":"Songhua Xu","orcid":"https://orcid.org/0000-0002-2276-2538"},"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":true,"raw_author_name":"Songhua Xu","raw_affiliation_strings":["School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China","School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5046202286"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":{"value":3130,"currency":"USD","value_usd":3130},"apc_paid":null,"fwci":2.9054,"has_fulltext":false,"cited_by_count":45,"citation_normalized_percentile":{"value":0.92021154,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"227","issue":null,"first_page":"107236","last_page":"107236"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9984999895095825,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.856755256652832},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8177671432495117},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.5293717384338379},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.5034231543540955},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43785518407821655},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4213469624519348},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37356889247894287},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36246153712272644},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3454739451408386}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.856755256652832},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8177671432495117},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.5293717384338379},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.5034231543540955},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43785518407821655},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4213469624519348},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37356889247894287},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36246153712272644},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3454739451408386},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.knosys.2021.107236","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.knosys.2021.107236","pdf_url":null,"source":{"id":"https://openalex.org/S10169007","display_name":"Knowledge-Based Systems","issn_l":"0950-7051","issn":["0950-7051","1872-7409"],"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":"Knowledge-Based Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321169","display_name":"Xi\u2019an Jiaotong University","ror":"https://ror.org/017zhmm22"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W191001584","https://openalex.org/W1503085769","https://openalex.org/W1532325895","https://openalex.org/W1902027874","https://openalex.org/W1970039276","https://openalex.org/W1977556410","https://openalex.org/W1981081578","https://openalex.org/W1991380130","https://openalex.org/W2006793117","https://openalex.org/W2043545458","https://openalex.org/W2049633694","https://openalex.org/W2059745395","https://openalex.org/W2070670538","https://openalex.org/W2077078647","https://openalex.org/W2078841894","https://openalex.org/W2089468765","https://openalex.org/W2089917999","https://openalex.org/W2092612387","https://openalex.org/W2100495367","https://openalex.org/W2101139104","https://openalex.org/W2103560185","https://openalex.org/W2103958034","https://openalex.org/W2108433027","https://openalex.org/W2117553576","https://openalex.org/W2121647436","https://openalex.org/W2125874614","https://openalex.org/W2137735945","https://openalex.org/W2144359569","https://openalex.org/W2145725490","https://openalex.org/W2187089797","https://openalex.org/W2187487650","https://openalex.org/W2222512263","https://openalex.org/W2341301259","https://openalex.org/W2400732335","https://openalex.org/W2547411571","https://openalex.org/W2571268788","https://openalex.org/W2583956757","https://openalex.org/W2605146283","https://openalex.org/W2740920897","https://openalex.org/W2741943936","https://openalex.org/W2744032142","https://openalex.org/W2744141159","https://openalex.org/W2765145408","https://openalex.org/W2766640142","https://openalex.org/W2770937834","https://openalex.org/W2781711557","https://openalex.org/W2785570910","https://openalex.org/W2797181071","https://openalex.org/W2884101707","https://openalex.org/W2891995267","https://openalex.org/W2897979119","https://openalex.org/W2899476926","https://openalex.org/W2907907589","https://openalex.org/W2910376060","https://openalex.org/W2953791858","https://openalex.org/W2964074409","https://openalex.org/W2997426872","https://openalex.org/W2999309933","https://openalex.org/W3003832334","https://openalex.org/W3026606665","https://openalex.org/W3030286867","https://openalex.org/W3091557990","https://openalex.org/W3129711340","https://openalex.org/W3143596294","https://openalex.org/W6600168311","https://openalex.org/W6600424091","https://openalex.org/W6600559246","https://openalex.org/W6602628784","https://openalex.org/W6635373764","https://openalex.org/W6644682428","https://openalex.org/W6669851904","https://openalex.org/W6672663406","https://openalex.org/W6677524102","https://openalex.org/W6678459319","https://openalex.org/W6713010590","https://openalex.org/W6777863058"],"related_works":["https://openalex.org/W2669956259","https://openalex.org/W4249005693","https://openalex.org/W2127243424","https://openalex.org/W2037504162","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2539013788","https://openalex.org/W4365790226","https://openalex.org/W2156699640","https://openalex.org/W2045265907"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":2}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}
