乐胖代购免代理版

{"id":"https://openalex.org/W3131001666","doi":"https://doi.org/10.1109/access.2021.3058998","title":"Complete Video-Level Representations for Action Recognition","display_name":"Complete Video-Level Representations for Action Recognition","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3131001666","doi":"https://doi.org/10.1109/access.2021.3058998","mag":"3131001666"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3058998","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09353486.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09353486.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100771485","display_name":"Min Li","orcid":"https://orcid.org/0000-0001-5428-6276"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"funder","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Li","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002794797","display_name":"Ruwen Bai","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"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/I4210142152","display_name":"ORCID","ror":"https://ror.org/04fa4r544","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210142152"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Ruwen Bai","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China","ORCiD"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]},{"raw_affiliation_string":"ORCiD","institution_ids":["https://openalex.org/I4210142152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113958576","display_name":"Bo Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210142152","display_name":"ORCID","ror":"https://ror.org/04fa4r544","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210142152"]},{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"funder","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Bo Meng","raw_affiliation_strings":["ORCiD","School of Optics and Electronics, Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"ORCiD","institution_ids":["https://openalex.org/I4210142152"]},{"raw_affiliation_string":"School of Optics and Electronics, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102402394","display_name":"Junxing Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junxing Ren","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101963596","display_name":"Miao Jiang","orcid":"https://orcid.org/0000-0001-7233-2782"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Miao Jiang","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100397630","display_name":"Yang Yang","orcid":"https://orcid.org/0000-0002-5601-7384"},"institutions":[{"id":"https://openalex.org/I4210142152","display_name":"ORCID","ror":"https://ror.org/04fa4r544","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210142152"]},{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"funder","lineage":["https://openalex.org/I21193070"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["ORCiD","School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"ORCiD","institution_ids":["https://openalex.org/I4210142152"]},{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023873735","display_name":"Linghan Li","orcid":null},"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/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linghan Li","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100873195","display_name":"Hong Du","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"funder","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Du","raw_affiliation_strings":["School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.495,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":5,"citation_normalized_percentile":{"value":0.805794,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":78,"max":80},"biblio":{"volume":"9","issue":null,"first_page":"92134","last_page":"92142"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","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/T10812","display_name":"Human Pose and Action Recognition","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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9964,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.9947,"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/pyramid","display_name":"Pyramid (geometry)","score":0.57309824},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.552497},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5087307},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness","score":0.47987857},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.47864425},{"id":"https://openalex.org/keywords/representation","display_name":"Representation","score":0.45927626},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action Recognition","score":0.43703026},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity Recognition","score":0.42643356}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.83279467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7002132},{"id":"https://openalex.org/C142575187","wikidata":"https://www.wikidata.org/wiki/Q3358290","display_name":"Pyramid (geometry)","level":2,"score":0.57309824},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.552497},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5344595},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5087307},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48975635},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.47987857},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.47864425},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.46442688},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.45927626},{"id":"https://openalex.org/C106030495","wikidata":"https://www.wikidata.org/wiki/Q1797012","display_name":"Video compression picture types","level":4,"score":0.45029518},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.43703026},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.42888454},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.42643356},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.41854838},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4129705},{"id":"https://openalex.org/C65483669","wikidata":"https://www.wikidata.org/wiki/Q3536669","display_name":"Video processing","level":2,"score":0.2659071},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.16417038},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09638962},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3058998","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09353486.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":false,"landing_page_url":"https://doaj.org/article/7a6efdabed0e42518bd369ee9dc2937f","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":true,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3058998","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09353486.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_indexed_in_scopus":true,"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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.47,"display_name":"Decent work and economic growth"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":35,"referenced_works":["https://openalex.org/W1522734439","https://openalex.org/W1536680647","https://openalex.org/W1923404803","https://openalex.org/W1947481528","https://openalex.org/W2016053056","https://openalex.org/W2064675550","https://openalex.org/W2109255472","https://openalex.org/W2156303437","https://openalex.org/W2194775991","https://openalex.org/W2274287116","https://openalex.org/W2308045930","https://openalex.org/W2342662179","https://openalex.org/W24089286","https://openalex.org/W2507009361","https://openalex.org/W2565639579","https://openalex.org/W2613718673","https://openalex.org/W2618530766","https://openalex.org/W2745519816","https://openalex.org/W2796347433","https://openalex.org/W2888814092","https://openalex.org/W2917819557","https://openalex.org/W2962688385","https://openalex.org/W2963037989","https://openalex.org/W2963155035","https://openalex.org/W2963480047","https://openalex.org/W2963524571","https://openalex.org/W2963820951","https://openalex.org/W2964350391","https://openalex.org/W3006112374","https://openalex.org/W3018757597","https://openalex.org/W3034619065","https://openalex.org/W3210311771","https://openalex.org/W4293584584","https://openalex.org/W639708223","https://openalex.org/W8437397"],"related_works":["https://openalex.org/W4390224712","https://openalex.org/W4322096758","https://openalex.org/W3181401746","https://openalex.org/W3081299480","https://openalex.org/W3002446410","https://openalex.org/W2919210741","https://openalex.org/W2907584218","https://openalex.org/W2407190427","https://openalex.org/W2022849497","https://openalex.org/W1975325338"],"abstract_inverted_index":{"In":[0],"most":[1,20],"of":[2,18,75,81,92,102,134,157,164,171],"the":[3,26,39,48,53,70,78,89,100,132,162,168,182,188],"existing":[4],"work":[5],"for":[6,14,41,51,118],"activity":[7,165],"recognition,":[8],"3D":[9,93,115],"ConvNets":[10],"show":[11],"promising":[12],"performance":[13,50],"learning":[15],"spatiotemporal":[16],"features":[17,80,145],"videos.However,":[19],"methods":[21],"sample":[22],"fixed-length":[23],"frames":[24,136],"from":[25],"original":[27],"video,":[28],"which":[29,124],"are":[30,57,86],"cropped":[31,54],"to":[32,99,130,160],"a":[33,66,110,114,126,147,155,192],"fixed":[34],"size":[35],"and":[36,73,105,140,187],"fed":[37],"into":[38,146],"model":[40,49,158],"training.In":[42],"this":[43],"manner,":[44],"two":[45],"problems":[46],"limit":[47],"recognition.First,":[52],"video":[55,83,135,184],"clips":[56],"incomplete":[58],"or":[59],"even":[60],"distorted":[61],"in":[62,65,174],"appearance,":[63],"resulting":[64],"large":[67,169],"gap":[68],"between":[69],"feature":[71,122],"representation":[72],"semantics":[74],"human":[76],"activity.Second,":[77],"useful":[79],"longer":[82],"frame":[84],"sequences":[85],"weakened":[87],"by":[88],"repeated":[90],"stacking":[91],"convolution":[94],"over":[95],"deep":[96],"networks":[97],"due":[98],"limitations":[101],"GPU":[103],"memory":[104],"computing":[106],"ability.This":[107],"article":[108],"proposes":[109],"method":[111,190],"based":[112],"on":[113,181],"backbone":[116],"network":[117],"multi":[119],"scale":[120],"spatial":[121],"representation,":[123],"uses":[125],"pyramid":[127],"pooling":[128],"layer":[129],"allow":[131],"input":[133],"at":[137],"different":[138],"scales,":[139],"then":[141],"aggregates":[142],"short-term":[143],"spatial-temporal":[144],"long-term":[148],"video-level":[149],"representation.Objection":[150],"detection":[151],"is":[152,179],"used":[153],"as":[154],"component":[156],"testing":[159],"explore":[161],"improvement":[163],"recognition":[166],"considering":[167],"amount":[170],"space-time":[172],"redundancy":[173],"real":[175],"life":[176],"videos.An":[177],"experiment":[178],"performed":[180],"principal":[183],"dataset,":[185],"UCF101,":[186],"proposed":[189],"presents":[191],"competitive":[193],"performance.":[194]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3131001666","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-04-23T08:05:36.888123","created_date":"2021-03-01"}