{"id":"https://openalex.org/W4360863106","doi":"https://doi.org/10.3390/s23073424","title":"Facial Expression Recognition Using Local Sliding Window Attention","display_name":"Facial Expression Recognition Using Local Sliding Window Attention","publication_year":2023,"publication_date":"2023-03-24","ids":{"openalex":"https://openalex.org/W4360863106","doi":"https://doi.org/10.3390/s23073424","pmid":"https://pubmed.ncbi.nlm.nih.gov/37050483"},"language":"en","primary_location":{"id":"doi:10.3390/s23073424","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23073424","pdf_url":"https://www.mdpi.com/1424-8220/23/7/3424/pdf?version=1679651682","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/7/3424/pdf?version=1679651682","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053968947","display_name":"Shuang Qiu","orcid":"https://orcid.org/0000-0002-2214-5089"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuang Qiu","raw_affiliation_strings":["Beijing Key Laboratory of Robot Bionics and Function Research, Beijing 100044, China","School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Robot Bionics and Function Research, Beijing 100044, China","institution_ids":[]},{"raw_affiliation_string":"School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China","institution_ids":["https://openalex.org/I62853816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008495824","display_name":"Guangzhe Zhao","orcid":"https://orcid.org/0000-0002-6850-9335"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangzhe Zhao","raw_affiliation_strings":["Beijing Key Laboratory of Robot Bionics and Function Research, Beijing 100044, China","School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Robot Bionics and Function Research, Beijing 100044, China","institution_ids":[]},{"raw_affiliation_string":"School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China","institution_ids":["https://openalex.org/I62853816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031903848","display_name":"Xiao Li","orcid":"https://orcid.org/0000-0002-6547-3541"},"institutions":[{"id":"https://openalex.org/I132586189","display_name":"Zhongyuan University of Technology","ror":"https://ror.org/0360zcg91","country_code":"CN","type":"education","lineage":["https://openalex.org/I132586189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Li","raw_affiliation_strings":["School of Electronics and Information Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Zhongyuan University of Technology, Zhengzhou 450007, China","institution_ids":["https://openalex.org/I132586189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069859216","display_name":"Xueping Wang","orcid":"https://orcid.org/0000-0001-8987-7578"},"institutions":[{"id":"https://openalex.org/I62853816","display_name":"Beijing University of Civil Engineering and Architecture","ror":"https://ror.org/02yj0p855","country_code":"CN","type":"education","lineage":["https://openalex.org/I62853816"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xueping Wang","raw_affiliation_strings":["Beijing Key Laboratory of Robot Bionics and Function Research, Beijing 100044, China","School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China"],"raw_orcid":"https://orcid.org/0000-0001-8987-7578","affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Robot Bionics and Function Research, Beijing 100044, China","institution_ids":[]},{"raw_affiliation_string":"School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044, China","institution_ids":["https://openalex.org/I62853816"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5069859216"],"corresponding_institution_ids":["https://openalex.org/I62853816"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":1.1723,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.77114183,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"23","issue":"7","first_page":"3424","last_page":"3424"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9994999766349792,"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":0.9994999766349792,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9994999766349792,"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/T11448","display_name":"Face recognition and analysis","score":0.9993000030517578,"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":0.7009508013725281},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.6674836874008179},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6306473612785339},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6192370057106018},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5947675704956055},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5615066885948181},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5437324047088623},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5052545666694641},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.47442808747291565},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3724624216556549},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.32971370220184326}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7009508013725281},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.6674836874008179},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6306473612785339},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6192370057106018},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5947675704956055},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5615066885948181},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5437324047088623},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5052545666694641},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.47442808747291565},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3724624216556549},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.32971370220184326},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000066499","descriptor_name":"Facial Recognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000066499","descriptor_name":"Facial Recognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000066499","descriptor_name":"Facial Recognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005149","descriptor_name":"Facial Expression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005149","descriptor_name":"Facial Expression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005149","descriptor_name":"Facial Expression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012660","descriptor_name":"Semantics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019359","descriptor_name":"Knowledge","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019359","descriptor_name":"Knowledge","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019359","descriptor_name":"Knowledge","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.3390/s23073424","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23073424","pdf_url":"https://www.mdpi.com/1424-8220/23/7/3424/pdf?version=1679651682","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:37050483","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37050483","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10098964","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10098964","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10098964/pdf/sensors-23-03424.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:b49a7855cb654e8da91ae0b8c16e1b37","is_oa":true,"landing_page_url":"https://doaj.org/article/b49a7855cb654e8da91ae0b8c16e1b37","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 7, p 3424 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/7/3424/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23073424","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 23; Issue 7; Pages: 3424","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23073424","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23073424","pdf_url":"https://www.mdpi.com/1424-8220/23/7/3424/pdf?version=1679651682","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G219251005","display_name":null,"funder_award_id":"62176018","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":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4360863106.pdf"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1235142441","https://openalex.org/W2041616772","https://openalex.org/W2081835714","https://openalex.org/W2095809036","https://openalex.org/W2103943262","https://openalex.org/W2143238378","https://openalex.org/W2165731615","https://openalex.org/W2194775991","https://openalex.org/W2325939864","https://openalex.org/W2481681431","https://openalex.org/W2515770085","https://openalex.org/W2520774990","https://openalex.org/W2737559518","https://openalex.org/W2738672149","https://openalex.org/W2745497104","https://openalex.org/W2799041689","https://openalex.org/W2884585870","https://openalex.org/W2890877354","https://openalex.org/W2896277673","https://openalex.org/W2904483377","https://openalex.org/W2962858109","https://openalex.org/W3003720578","https://openalex.org/W3019410392","https://openalex.org/W3035336958","https://openalex.org/W3035783767","https://openalex.org/W3089911443","https://openalex.org/W3093327233","https://openalex.org/W3122081138","https://openalex.org/W3124054989","https://openalex.org/W3129458182","https://openalex.org/W3134941379","https://openalex.org/W3155551469","https://openalex.org/W3173787706","https://openalex.org/W3179103990","https://openalex.org/W3184571633","https://openalex.org/W3187532107","https://openalex.org/W3189369550","https://openalex.org/W3195286673","https://openalex.org/W3209798173","https://openalex.org/W3211510783","https://openalex.org/W4205166102","https://openalex.org/W4225323075","https://openalex.org/W4226368482","https://openalex.org/W4255750110","https://openalex.org/W4296558638","https://openalex.org/W4298348845","https://openalex.org/W4312465353","https://openalex.org/W4312823769","https://openalex.org/W4312994325","https://openalex.org/W6675736572","https://openalex.org/W6683411478","https://openalex.org/W6683817158","https://openalex.org/W6754199705","https://openalex.org/W6803462455"],"related_works":["https://openalex.org/W2390901981","https://openalex.org/W2109115373","https://openalex.org/W2353818951","https://openalex.org/W1605879311","https://openalex.org/W3088957430","https://openalex.org/W3014558862","https://openalex.org/W2095030957","https://openalex.org/W2066827917","https://openalex.org/W4400976415","https://openalex.org/W2770255720"],"abstract_inverted_index":{"There":[0],"are":[1],"problems":[2,19],"associated":[3],"with":[4,120,162],"facial":[5,11,23],"expression":[6],"recognition":[7],"(FER),":[8],"such":[9],"as":[10],"occlusion":[12],"and":[13,61,105],"head":[14],"pose":[15],"variations.":[16],"These":[17],"two":[18],"lead":[20],"to":[21,41,49,64,136,140,157],"incomplete":[22],"information":[24],"in":[25],"images,":[26],"making":[27],"feature":[28,114,131],"extraction":[29],"extremely":[30],"difficult.":[31],"Most":[32],"current":[33],"methods":[34,161],"use":[35],"prior":[36],"knowledge":[37],"or":[38],"fixed-size":[39],"patches":[40],"perform":[42],"local":[43,72,80,103,113,130,144],"cropping,":[44,97],"thereby":[45],"enhancing":[46],"the":[47,54,66,69,100,112,138],"ability":[48],"acquire":[50],"fine-grained":[51,118],"features.":[52,73,145],"However,":[53],"former":[55],"requires":[56],"extra":[57],"data":[58],"processing":[59],"work":[60],"is":[62,134],"prone":[63],"errors;":[65],"latter":[67],"destroys":[68],"integrity":[70,101],"of":[71,102,159,164],"In":[74],"this":[75],"paper,":[76],"we":[77,89],"propose":[78,90],"a":[79,91,124,154],"Sliding":[81],"Window":[82],"Attention":[83],"Network":[84],"(SWA-Net)":[85],"for":[86,95],"FER.":[87],"Specifically,":[88],"sliding":[92],"window":[93],"strategy":[94],"feature-level":[96],"which":[98],"preserves":[99],"features":[104,119],"does":[106],"not":[107],"require":[108],"complex":[109],"preprocessing.":[110],"Moreover,":[111],"enhancement":[115],"module":[116,133],"mines":[117],"intraclass":[121],"semantics":[122],"through":[123],"multiscale":[125],"depth":[126],"network.":[127],"The":[128],"adaptive":[129],"selection":[132],"introduced":[135],"prompt":[137],"model":[139,152],"find":[141],"more":[142],"essential":[143],"Extensive":[146],"experiments":[147],"demonstrate":[148],"that":[149,158],"our":[150],"SWA-Net":[151],"achieves":[153],"comparable":[155],"performance":[156],"state-of-the-art":[160],"scores":[163],"90.03%":[165],"on":[166,169,172],"RAF-DB,":[167],"89.22%":[168],"FERPlus,":[170],"63.97%":[171],"AffectNet.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}