{"id":"https://openalex.org/W4220993262","doi":"https://doi.org/10.1007/s00521-022-07016-8","title":"Effective attention feature reconstruction loss for facial expression recognition in the wild","display_name":"Effective attention feature reconstruction loss for facial expression recognition in the wild","publication_year":2022,"publication_date":"2022-03-04","ids":{"openalex":"https://openalex.org/W4220993262","doi":"https://doi.org/10.1007/s00521-022-07016-8"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-022-07016-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-022-07016-8","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","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/A5030571065","display_name":"Weijun Gong","orcid":"https://orcid.org/0000-0001-7215-2925"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijun Gong","raw_affiliation_strings":["College of Information Science and Engineering, Xinjiang University, Urumqi, 830000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Xinjiang University, Urumqi, 830000, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101941781","display_name":"Yingying Fan","orcid":"https://orcid.org/0000-0002-0010-4198"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingying Fan","raw_affiliation_strings":["College of Information Science and Engineering, Xinjiang University, Urumqi, 830000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Xinjiang University, Urumqi, 830000, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002981402","display_name":"Yurong Qian","orcid":"https://orcid.org/0000-0001-6564-4745"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yurong Qian","raw_affiliation_strings":["College of Information Science and Engineering, Xinjiang University, Urumqi, 830000, China","College of Software, Xinjiang University, Urumqi, 830000, China","Key Laboratory of Signal Detection and Processing in Xinjiang Uygur Autonomous Region, Urumqi, 830000, China"],"raw_orcid":"https://orcid.org/0000-0001-6564-4745","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Xinjiang University, Urumqi, 830000, China","institution_ids":["https://openalex.org/I96908189"]},{"raw_affiliation_string":"College of Software, Xinjiang University, Urumqi, 830000, China","institution_ids":["https://openalex.org/I96908189"]},{"raw_affiliation_string":"Key Laboratory of Signal Detection and Processing in Xinjiang Uygur Autonomous Region, Urumqi, 830000, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002981402"],"corresponding_institution_ids":["https://openalex.org/I96908189"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":1.7295,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.83856129,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"34","issue":"12","first_page":"10175","last_page":"10187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9955000281333923,"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/T11448","display_name":"Face recognition and analysis","score":0.9908999800682068,"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/computer-science","display_name":"Computer science","score":0.6780057549476624},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6068889498710632},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6054974794387817},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5617574453353882},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5527978539466858},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5073062777519226},{"id":"https://openalex.org/keywords/cross-entropy","display_name":"Cross entropy","score":0.4839637577533722},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.4661262035369873},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.42845407128334045},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.32950928807258606},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.15501585602760315}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6780057549476624},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6068889498710632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6054974794387817},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5617574453353882},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5527978539466858},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5073062777519226},{"id":"https://openalex.org/C167981619","wikidata":"https://www.wikidata.org/wiki/Q1685498","display_name":"Cross entropy","level":3,"score":0.4839637577533722},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.4661262035369873},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.42845407128334045},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.32950928807258606},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.15501585602760315},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00521-022-07016-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-022-07016-8","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G5819373079","display_name":null,"funder_award_id":"61966035","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W2030562279","https://openalex.org/W2035372623","https://openalex.org/W2041616772","https://openalex.org/W2103943262","https://openalex.org/W2139916508","https://openalex.org/W2145310492","https://openalex.org/W2246249023","https://openalex.org/W2481681431","https://openalex.org/W2515770085","https://openalex.org/W2520774990","https://openalex.org/W2738672149","https://openalex.org/W2745497104","https://openalex.org/W2787524669","https://openalex.org/W2798506093","https://openalex.org/W2886300652","https://openalex.org/W2896277673","https://openalex.org/W2902598059","https://openalex.org/W2904483377","https://openalex.org/W2944523338","https://openalex.org/W2962858109","https://openalex.org/W2963351448","https://openalex.org/W2963363102","https://openalex.org/W2963466847","https://openalex.org/W2963712289","https://openalex.org/W2964347177","https://openalex.org/W2997336602","https://openalex.org/W3003720578","https://openalex.org/W3035336958","https://openalex.org/W3035783767","https://openalex.org/W3043496927","https://openalex.org/W3089911443","https://openalex.org/W3118290699","https://openalex.org/W3118405827","https://openalex.org/W3122081138","https://openalex.org/W3163585031","https://openalex.org/W3172737781","https://openalex.org/W3175546442","https://openalex.org/W3177052299"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W2909431601","https://openalex.org/W4214715083"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}