{"id":"https://openalex.org/W3118548710","doi":"https://doi.org/10.1109/tmm.2021.3050089","title":"Adversarial-Metric Learning for Audio-Visual Cross-Modal Matching","display_name":"Adversarial-Metric Learning for Audio-Visual Cross-Modal Matching","publication_year":2021,"publication_date":"2021-01-13","ids":{"openalex":"https://openalex.org/W3118548710","doi":"https://doi.org/10.1109/tmm.2021.3050089","mag":"3118548710"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2021.3050089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3050089","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","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/A5017558628","display_name":"Aihua Zheng","orcid":"https://orcid.org/0000-0002-9820-4743"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Aihua Zheng","raw_affiliation_strings":["Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, the Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, China","School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-9820-4743","affiliations":[{"raw_affiliation_string":"Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, the Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101799899","display_name":"Menglan Hu","orcid":"https://orcid.org/0000-0003-2187-2011"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Menglan Hu","raw_affiliation_strings":["Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, the Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, China","School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-2187-2011","affiliations":[{"raw_affiliation_string":"Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, the Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053609164","display_name":"Bo Jiang","orcid":"https://orcid.org/0000-0002-6238-1596"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Jiang","raw_affiliation_strings":["Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, China","Institute of Physical Science, and Information Technology, Anhui University, Hefei, China","School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-6238-1596","affiliations":[{"raw_affiliation_string":"Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, China","institution_ids":[]},{"raw_affiliation_string":"Institute of Physical Science, and Information Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]},{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101550628","display_name":"Yan Huang","orcid":"https://orcid.org/0000-0002-8239-7229"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Huang","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210112150","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395059","display_name":"Yan Yan","orcid":"https://orcid.org/0000-0002-3674-7160"},"institutions":[{"id":"https://openalex.org/I180949307","display_name":"Illinois Institute of Technology","ror":"https://ror.org/037t3ry66","country_code":"US","type":"education","lineage":["https://openalex.org/I180949307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yan Yan","raw_affiliation_strings":["Department of Computer Science, Illinois Institute of Technology, Chicago, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Illinois Institute of Technology, Chicago, IL, USA","institution_ids":["https://openalex.org/I180949307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100372676","display_name":"Bin Luo","orcid":"https://orcid.org/0000-0001-5948-5055"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Luo","raw_affiliation_strings":["Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, the Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, China","School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-5948-5055","affiliations":[{"raw_affiliation_string":"Anhui Provincial Key Laboratory of Multimodal Cognitive Computation, the Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education, China","institution_ids":[]},{"raw_affiliation_string":"School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5017558628"],"corresponding_institution_ids":["https://openalex.org/I143868143"],"apc_list":null,"apc_paid":null,"fwci":6.3229,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.97364196,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"24","issue":null,"first_page":"338","last_page":"351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9995999932289124,"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"}},{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9994999766349792,"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"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.9994000196456909,"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":0.8259546756744385},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7598192095756531},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6508336067199707},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6496606469154358},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6446621417999268},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.625375509262085},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.540395975112915},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5087676644325256},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4924701154232025},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4923771619796753},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.4867837131023407},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4279877841472626},{"id":"https://openalex.org/keywords/audio-visual","display_name":"Audio visual","score":0.42667990922927856},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4174043536186218},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39597830176353455},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3529985845088959},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19448328018188477},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.1155514121055603}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8259546756744385},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7598192095756531},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6508336067199707},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6496606469154358},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6446621417999268},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.625375509262085},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.540395975112915},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5087676644325256},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4924701154232025},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4923771619796753},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.4867837131023407},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4279877841472626},{"id":"https://openalex.org/C3017588708","wikidata":"https://www.wikidata.org/wiki/Q758901","display_name":"Audio visual","level":2,"score":0.42667990922927856},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4174043536186218},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39597830176353455},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3529985845088959},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19448328018188477},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.1155514121055603},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2021.3050089","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3050089","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.75,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G2910506371","display_name":null,"funder_award_id":"201900046","funder_id":"https://openalex.org/F4320326873","funder_display_name":"National Laboratory of Pattern Recognition"},{"id":"https://openalex.org/G3254430106","display_name":null,"funder_award_id":"61976002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6272629075","display_name":null,"funder_award_id":"62076004","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"},{"id":"https://openalex.org/F4320326873","display_name":"National Laboratory of Pattern Recognition","ror":null},{"id":"https://openalex.org/F4320335639","display_name":"Institute of Automation, Chinese Academy of Sciences","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W1710476689","https://openalex.org/W1977985044","https://openalex.org/W2012592962","https://openalex.org/W2066078528","https://openalex.org/W2096733369","https://openalex.org/W2187089797","https://openalex.org/W2227324914","https://openalex.org/W2293277011","https://openalex.org/W2293856338","https://openalex.org/W2325939864","https://openalex.org/W2564325886","https://openalex.org/W2593414223","https://openalex.org/W2604880013","https://openalex.org/W2621109248","https://openalex.org/W2625027024","https://openalex.org/W2679426462","https://openalex.org/W2726515241","https://openalex.org/W2741168003","https://openalex.org/W2765440071","https://openalex.org/W2778652957","https://openalex.org/W2780124704","https://openalex.org/W2788843501","https://openalex.org/W2790649793","https://openalex.org/W2795389793","https://openalex.org/W2808260522","https://openalex.org/W2897135094","https://openalex.org/W2897492344","https://openalex.org/W2898403805","https://openalex.org/W2904949947","https://openalex.org/W2905040928","https://openalex.org/W2915533878","https://openalex.org/W2921310091","https://openalex.org/W2922538097","https://openalex.org/W2948037078","https://openalex.org/W2951611190","https://openalex.org/W2953037339","https://openalex.org/W2962856082","https://openalex.org/W2962918445","https://openalex.org/W2962960500","https://openalex.org/W2963026686","https://openalex.org/W2963066677","https://openalex.org/W2963081548","https://openalex.org/W2963218389","https://openalex.org/W2963290645","https://openalex.org/W2963467339","https://openalex.org/W2963663420","https://openalex.org/W2963680395","https://openalex.org/W2963801643","https://openalex.org/W2963807156","https://openalex.org/W2963887950","https://openalex.org/W2964109005","https://openalex.org/W2964171275","https://openalex.org/W2964207404","https://openalex.org/W2964216321","https://openalex.org/W2982905682","https://openalex.org/W2997819898","https://openalex.org/W3031719679","https://openalex.org/W3102619627","https://openalex.org/W3154807520","https://openalex.org/W4289665794","https://openalex.org/W6631190155","https://openalex.org/W6631943919","https://openalex.org/W6675974536","https://openalex.org/W6684193366","https://openalex.org/W6730323794","https://openalex.org/W6738390143","https://openalex.org/W6741832134","https://openalex.org/W6749251296","https://openalex.org/W6752791795","https://openalex.org/W6755694806"],"related_works":["https://openalex.org/W73545470","https://openalex.org/W4224266612","https://openalex.org/W2383394264","https://openalex.org/W4320153225","https://openalex.org/W4293261942","https://openalex.org/W3125968744","https://openalex.org/W2167701463","https://openalex.org/W2110287964","https://openalex.org/W4307407935","https://openalex.org/W649759291"],"abstract_inverted_index":{"Audio-visual":[0],"matching":[1,73],"aims":[2,49],"to":[3,50],"learn":[4],"the":[5,23,79,97,108,125,128],"intrinsic":[6],"correspondence":[7],"between":[8,27],"image":[9],"and":[10,29,83,118],"audio":[11,28],"clip.":[12],"Existing":[13],"works":[14],"mainly":[15],"concentrate":[16],"on":[17,107,121,137],"learning":[18,87,111],"discriminative":[19,80],"features,":[20],"while":[21,64],"ignore":[22],"cross-modal":[24],"heterogeneous":[25,98],"issue":[26,99],"visual":[30],"modalities.":[31],"To":[32],"deal":[33],"with":[34,100],"this":[35],"issue,":[36],"we":[37],"propose":[38],"a":[39,52,67],"novel":[40],"Adversarial-Metric":[41],"Learning":[42],"(AML)":[43],"model":[44],"for":[45,55,71,103],"audio-visual":[46,104,110,114,116,119],"matching.":[47,105],"AML":[48,94,130],"generate":[51],"modality-independent":[53,81],"representation":[54,82],"each":[56,59],"person":[57],"in":[58],"modality":[60],"via":[61,74],"adversarial":[62],"learning,":[63],"simultaneously":[65],"learns":[66],"robust":[68,84],"similarity":[69],"measure":[70],"cross-modality":[72,85],"metric":[75,86],"learning.":[76],"By":[77],"integrating":[78],"into":[88],"an":[89],"end-to-end":[90],"trainable":[91],"deep":[92],"network,":[93],"can":[95],"overcome":[96],"promising":[101],"performance":[102],"Experiments":[106],"various":[109],"tasks,":[112],"including":[113],"matching,":[115],"verification":[117],"retrieval":[120],"benchmark":[122],"dataset":[123],"demonstrate":[124],"effectiveness":[126],"of":[127],"proposed":[129],"model.":[131],"The":[132],"implementation":[133],"codes":[134],"are":[135],"available":[136],"<uri":[138],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[139],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/MLanHu/AML</uri>":[140],".":[141]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-26T08:31:28.666265","created_date":"2025-10-10T00:00:00"}
