{"id":"https://openalex.org/W3135934332","doi":"https://doi.org/10.1109/tim.2021.3065438","title":"YOLOv4-5D: An Effective and Efficient Object Detector for Autonomous Driving","display_name":"YOLOv4-5D: An Effective and Efficient Object Detector for Autonomous Driving","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3135934332","doi":"https://doi.org/10.1109/tim.2021.3065438","mag":"3135934332"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2021.3065438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3065438","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10017/63158","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057276700","display_name":"Yingfeng Cai","orcid":"https://orcid.org/0000-0002-0633-9887"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yingfeng Cai","raw_affiliation_strings":["Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103004395","display_name":"Tianyu Luan","orcid":"https://orcid.org/0000-0002-5365-656X"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyu Luan","raw_affiliation_strings":["School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007825395","display_name":"Hongbo Gao","orcid":"https://orcid.org/0000-0002-5271-1280"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongbo Gao","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100771674","display_name":"Hai Wang","orcid":"https://orcid.org/0000-0002-9136-8091"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Wang","raw_affiliation_strings":["School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100630554","display_name":"Long Chen","orcid":"https://orcid.org/0000-0002-2079-3867"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Long Chen","raw_affiliation_strings":["Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100657987","display_name":"Yicheng Li","orcid":"https://orcid.org/0000-0003-2937-7162"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yicheng Li","raw_affiliation_strings":["Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"Automotive Engineering Research Institute, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002294104","display_name":"Miguel \u00c1ngel Sotelo","orcid":"https://orcid.org/0000-0001-8809-2103"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miguel Angel Sotelo","raw_affiliation_strings":["University of Alcal, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"University of Alcal, Madrid, Spain","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100640958","display_name":"Zhixiong Li","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Zhixiong Li","raw_affiliation_strings":["Yonsei Frontier Laboratory, Yonsei University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Yonsei Frontier Laboratory, Yonsei University, Seoul, South Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5057276700"],"corresponding_institution_ids":["https://openalex.org/I115592961"],"apc_list":null,"apc_paid":null,"fwci":25.5796,"has_fulltext":false,"cited_by_count":328,"citation_normalized_percentile":{"value":0.99766628,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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/T10036","display_name":"Advanced Neural Network Applications","score":1.0,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9932000041007996,"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":0.9872000217437744,"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/object-detection","display_name":"Object detection","score":0.7797906994819641},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7591312527656555},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6519893407821655},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5391237139701843},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.532892107963562},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5131881833076477},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4992499351501465},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.48873424530029297},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4497813284397125},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42274177074432373},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4133240580558777},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3379824161529541},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2388104796409607}],"concepts":[{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.7797906994819641},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7591312527656555},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6519893407821655},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5391237139701843},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.532892107963562},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5131881833076477},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4992499351501465},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.48873424530029297},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4497813284397125},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42274177074432373},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4133240580558777},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3379824161529541},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2388104796409607},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","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},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tim.2021.3065438","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3065438","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"},{"id":"pmh:oai:ebuah.uah.es:10017/63158","is_oa":true,"landing_page_url":"http://hdl.handle.net/10017/63158","pdf_url":null,"source":{"id":"https://openalex.org/S7407055200","display_name":"e_Buah","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/acceptedVersion"}],"best_oa_location":{"id":"pmh:oai:ebuah.uah.es:10017/63158","is_oa":true,"landing_page_url":"http://hdl.handle.net/10017/63158","pdf_url":null,"source":{"id":"https://openalex.org/S7407055200","display_name":"e_Buah","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/acceptedVersion"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1375727606","display_name":null,"funder_award_id":"51875255","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1624433923","display_name":null,"funder_award_id":"TD-GDZB-022","funder_id":"https://openalex.org/F4320326182","funder_display_name":"Six Talent Peaks Project in Jiangsu Province"},{"id":"https://openalex.org/G1763735783","display_name":null,"funder_award_id":"BK20180100","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G2297757108","display_name":null,"funder_award_id":"U1764264","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3283955804","display_name":null,"funder_award_id":"U20A20333","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G353827121","display_name":null,"funder_award_id":"52072160","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7128044754","display_name":null,"funder_award_id":"BE2019010-2","funder_id":"https://openalex.org/F4320327777","funder_display_name":"Jiangsu Provincial Key Research and Development Program"},{"id":"https://openalex.org/G7378939222","display_name":null,"funder_award_id":"2018YFB0105000","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8082382594","display_name":null,"funder_award_id":"BE2020083-3","funder_id":"https://openalex.org/F4320327777","funder_display_name":"Jiangsu Provincial Key Research and Development Program"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326182","display_name":"Six Talent Peaks Project in Jiangsu Province","ror":null},{"id":"https://openalex.org/F4320327777","display_name":"Jiangsu Provincial Key Research and Development Program","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1647372770","https://openalex.org/W1994160788","https://openalex.org/W2011430131","https://openalex.org/W2053869519","https://openalex.org/W2109255472","https://openalex.org/W2129440600","https://openalex.org/W2150066425","https://openalex.org/W2177478906","https://openalex.org/W2194775991","https://openalex.org/W2490270993","https://openalex.org/W2570343428","https://openalex.org/W2601564443","https://openalex.org/W2613718673","https://openalex.org/W2613820152","https://openalex.org/W2617247391","https://openalex.org/W2793067285","https://openalex.org/W2795812085","https://openalex.org/W2796347433","https://openalex.org/W2812373594","https://openalex.org/W2893538180","https://openalex.org/W2901100349","https://openalex.org/W2906500221","https://openalex.org/W2913374433","https://openalex.org/W2921271497","https://openalex.org/W2944165510","https://openalex.org/W2946095264","https://openalex.org/W2963037989","https://openalex.org/W2963087201","https://openalex.org/W2963140066","https://openalex.org/W2963604034","https://openalex.org/W2963857746","https://openalex.org/W2964241181","https://openalex.org/W3005626802","https://openalex.org/W3016101116","https://openalex.org/W3018757597","https://openalex.org/W3035564946","https://openalex.org/W3042011474","https://openalex.org/W3048721516","https://openalex.org/W3106250896","https://openalex.org/W3110440461","https://openalex.org/W3129176582","https://openalex.org/W3135204376","https://openalex.org/W4293584584","https://openalex.org/W6620707391","https://openalex.org/W6738105350","https://openalex.org/W6750227808","https://openalex.org/W6762082143","https://openalex.org/W6762629206","https://openalex.org/W6776110894","https://openalex.org/W6777046832","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W2373300491","https://openalex.org/W2395294869","https://openalex.org/W2378744544","https://openalex.org/W2594301978","https://openalex.org/W2379704676","https://openalex.org/W1998810860","https://openalex.org/W2964954556","https://openalex.org/W2969228573","https://openalex.org/W2963690996"],"abstract_inverted_index":{"The":[0,67,77,158],"use":[1],"of":[2,37,120,141,153,160,206,231],"object":[3,39,49],"detection":[4,14,50,55,92,111,118,220,233],"algorithms":[5],"has":[6],"become":[7],"extremely":[8],"important":[9],"in":[10,70,81],"autonomous":[11,27],"vehicles.":[12],"Object":[13],"at":[15,234],"high":[16],"accuracy":[17,56,119,221,243],"and":[18,35,108,191,211,240],"a":[19,47,59,100,249],"fast":[20],"inference":[21,204],"speed":[22,205],"is":[23,74,84,106,164,208,214,222,229],"essential":[24],"for":[25,52],"safe":[26],"driving.":[28],"Therefore,":[29],"the":[30,33,38,54,65,71,75,82,91,117,135,138,142,149,154,168,175,177,180,187,194,201,203,212,219,226,245],"balance":[31],"between":[32],"effectiveness":[34],"efficiency":[36],"detector":[40],"must":[41],"be":[42,145],"considered.":[43],"This":[44],"article":[45,126],"proposes":[46,127],"one-stage":[48],"framework":[51,73],"improving":[53],"while":[57],"supporting":[58],"true":[60],"real-time":[61,139,232],"operation":[62],"based":[63],"on":[64,186,193],"YOLOv4.":[66],"backbone":[68],"network":[69,130],"proposed":[72,227],"CSPDarknet53_dcn(P).":[76],"last":[78],"output":[79],"layer":[80],"CSPDarknet53":[83],"replaced":[85],"with":[86,248],"deformable":[87],"convolution":[88],"to":[89,96,115,133,148,166,174],"improve":[90,116,167],"accuracy.":[93],"In":[94,123],"order":[95],"perform":[97],"feature":[98,102],"fusion,":[99],"new":[101],"fusion":[103],"module":[104],"PAN++":[105],"designed":[107],"five":[109],"scales":[110],"layers":[112],"are":[113],"used":[114,165],"small":[121],"objects.":[122],"addition,":[124],"this":[125],"an":[128],"optimized":[129],"pruning":[131,171,200],"algorithm":[132,143,228],"solve":[134],"problem":[136],"that":[137],"performance":[140],"cannot":[144],"satisfied":[146],"due":[147],"limited":[150],"computing":[151,156],"resources":[152],"vehicle-mounted":[155],"platform.":[157],"method":[159],"sparse":[161],"scaling":[162],"factor":[163],"existing":[169],"channel":[170],"algorithm.":[172],"Compared":[173],"YOLOv4,":[176],"YOLOV4-5D":[178,207],"improves":[179],"mean":[181],"average":[182],"precision":[183],"by":[184,199],"4.23%":[185],"BDD":[188],"data":[189,196],"sets":[190],"1.68%":[192],"KITTI":[195],"sets.":[197],"Finally,":[198],"model,":[202],"increased":[209],"31.3%":[210],"memory":[213],"only":[215],"98.1":[216],"MB":[217],"when":[218],"almost":[223],"unchanged.":[224],"Nevertheless,":[225],"capable":[230],"faster":[235],"than":[236,244],"66":[237],"frames/s":[238],"(fps)":[239],"shows":[241],"higher":[242],"previous":[246],"approaches":[247],"similar":[250],"fps.":[251]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":59},{"year":2024,"cited_by_count":80},{"year":2023,"cited_by_count":76},{"year":2022,"cited_by_count":92},{"year":2021,"cited_by_count":16}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
