{"id":"https://openalex.org/W4361762496","doi":"https://doi.org/10.1145/3580804","title":"X-CHAR","display_name":"X-CHAR","publication_year":2023,"publication_date":"2023-03-27","ids":{"openalex":"https://openalex.org/W4361762496","doi":"https://doi.org/10.1145/3580804","pmid":"https://pubmed.ncbi.nlm.nih.gov/38529008"},"language":"en","primary_location":{"id":"doi:10.1145/3580804","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3580804","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3580804","source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3580804","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065874576","display_name":"Jeya Vikranth Jeyakumar","orcid":"https://orcid.org/0000-0003-0322-7086"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeya Vikranth Jeyakumar","raw_affiliation_strings":["University of California Los Angeles, California, USA"],"raw_orcid":"https://orcid.org/0000-0003-0322-7086","affiliations":[{"raw_affiliation_string":"University of California Los Angeles, California, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022681108","display_name":"Ankur Sarker","orcid":"https://orcid.org/0000-0003-4232-3345"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ankur Sarker","raw_affiliation_strings":["University of California Los Angeles, California, USA"],"raw_orcid":"https://orcid.org/0000-0003-4232-3345","affiliations":[{"raw_affiliation_string":"University of California Los Angeles, California, USA","institution_ids":["https://openalex.org/I161318765"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050029555","display_name":"Luis Antonio Ribot Garc\u00eda","orcid":"https://orcid.org/0000-0002-5111-0694"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Luis Antonio Garcia","raw_affiliation_strings":["University of Southern California, Information Sciences Institute, California, USA"],"raw_orcid":"https://orcid.org/0000-0002-5111-0694","affiliations":[{"raw_affiliation_string":"University of Southern California, Information Sciences Institute, California, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074563122","display_name":"Mani Srivastava","orcid":"https://orcid.org/0000-0002-3782-9192"},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mani Srivastava","raw_affiliation_strings":["University of California Los Angeles, California, USA"],"raw_orcid":"https://orcid.org/0000-0002-3782-9192","affiliations":[{"raw_affiliation_string":"University of California Los Angeles, California, USA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.0418,"has_fulltext":true,"cited_by_count":38,"citation_normalized_percentile":{"value":0.95369934,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"7","issue":"1","first_page":"1","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9987999796867371,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9987999796867371,"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":0.9962999820709229,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9961000084877014,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7309698462486267},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.567533552646637},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.557542085647583},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5394149422645569},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5245019197463989},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.49918127059936523},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46975091099739075},{"id":"https://openalex.org/keywords/connectionism","display_name":"Connectionism","score":0.453428715467453},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.4488270580768585},{"id":"https://openalex.org/keywords/activity-recognition","display_name":"Activity recognition","score":0.44166454672813416},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.26045578718185425}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7309698462486267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.567533552646637},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.557542085647583},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5394149422645569},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5245019197463989},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.49918127059936523},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46975091099739075},{"id":"https://openalex.org/C8521452","wikidata":"https://www.wikidata.org/wiki/Q203790","display_name":"Connectionism","level":3,"score":0.453428715467453},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.4488270580768585},{"id":"https://openalex.org/C121687571","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Activity recognition","level":2,"score":0.44166454672813416},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.26045578718185425},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3580804","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3580804","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3580804","source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"},{"id":"pmid:38529008","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38529008","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":"Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies","raw_type":null},{"id":"pmh:oai:escholarship.org:ark:/13030/qt2264v7bh","is_oa":true,"landing_page_url":"https://escholarship.org/uc/item/2264v7bh","pdf_url":"https://escholarship.org/content/qt2264v7bh/qt2264v7bh.pdf","source":{"id":"https://openalex.org/S4306400115","display_name":"eScholarship (California Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2801248553","host_organization_name":"California Digital Library","host_organization_lineage":["https://openalex.org/I2801248553"],"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":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, vol 7, iss 1","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:10961595","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10961595","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10961595/pdf/nihms-1928656.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":"Proc ACM Interact Mob Wearable Ubiquitous Technol","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1145/3580804","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3580804","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3580804","source":{"id":"https://openalex.org/S4210219751","display_name":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","issn_l":"2474-9567","issn":["2474-9567"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G1138128168","display_name":null,"funder_award_id":"1822935, 2124130","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3411093368","display_name":null,"funder_award_id":"FA95502210193","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G4650573332","display_name":null,"funder_award_id":"W911NF172-0196","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"},{"id":"https://openalex.org/G5106461111","display_name":"CRI: CI-EN: Collaborative Research: mResearch: A platform for Reproducible and Extensible Mobile Sensor Big Data Research","funder_award_id":"1822935","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G517377387","display_name":null,"funder_award_id":"1P41EB028242","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G5833096653","display_name":"Collaborative Research: NCS: FO: Enhancing Episodic Memory through Real-world Integration of Brain Recording and Stimulation with Semantic Alignment of Human and IoT Perception","funder_award_id":"2124130","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6022865650","display_name":null,"funder_award_id":"W911NF2220243, W911NF172-0196","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"},{"id":"https://openalex.org/G7644986279","display_name":null,"funder_award_id":"P41 EB028242","funder_id":"https://openalex.org/F4320337363","funder_display_name":"National Institute of Biomedical Imaging and Bioengineering"},{"id":"https://openalex.org/G8584459680","display_name":null,"funder_award_id":"W911NF2220243","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306087","display_name":"Semiconductor Research Corporation","ror":"https://ror.org/047z4n946"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320332815","display_name":"Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4361762496.pdf","grobid_xml":"https://content.openalex.org/works/W4361762496.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1485823550","https://openalex.org/W1849277567","https://openalex.org/W2003792585","https://openalex.org/W2027972120","https://openalex.org/W2033876581","https://openalex.org/W2052666245","https://openalex.org/W2066792529","https://openalex.org/W2099336098","https://openalex.org/W2131709365","https://openalex.org/W2134067070","https://openalex.org/W2144499799","https://openalex.org/W2161381512","https://openalex.org/W2270470215","https://openalex.org/W2282821441","https://openalex.org/W2320625002","https://openalex.org/W2402069821","https://openalex.org/W2553915786","https://openalex.org/W2737725206","https://openalex.org/W2764024122","https://openalex.org/W2765813195","https://openalex.org/W2773003563","https://openalex.org/W2777460464","https://openalex.org/W2794833149","https://openalex.org/W2851629429","https://openalex.org/W2886281300","https://openalex.org/W2899130027","https://openalex.org/W2927224805","https://openalex.org/W2945976633","https://openalex.org/W2954709787","https://openalex.org/W2962858109","https://openalex.org/W2971670291","https://openalex.org/W2973102973","https://openalex.org/W2973204573","https://openalex.org/W2980701909","https://openalex.org/W2981766164","https://openalex.org/W2984911178","https://openalex.org/W3011806746","https://openalex.org/W3023497337","https://openalex.org/W3083281679","https://openalex.org/W3099844187","https://openalex.org/W3103453294","https://openalex.org/W3107280982","https://openalex.org/W3108887041","https://openalex.org/W3123012394","https://openalex.org/W4206647573","https://openalex.org/W4220663024","https://openalex.org/W4234531549"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W2127970246","https://openalex.org/W2885125400","https://openalex.org/W1989889224","https://openalex.org/W4382618745","https://openalex.org/W1973775000","https://openalex.org/W4376608661","https://openalex.org/W2759690896","https://openalex.org/W2756897323"],"abstract_inverted_index":{"End-to-end":[0],"deep":[1,53,170],"learning":[2,54,171],"models":[3,37,55,81,172],"are":[4,285],"increasingly":[5],"applied":[6],"to":[7,21,48,79,179,266,276],"safety-critical":[8,39],"human":[9],"activity":[10,61,182,250,296],"recognition":[11,183],"(HAR)":[12],"applications,":[13],"e.g.,":[14],"healthcare":[15],"monitoring":[16],"and":[17,25,29,43,126,201,230,252],"smart":[18],"home":[19],"control,":[20],"reduce":[22],"developer":[23,241],"burden":[24],"increase":[26],"the":[27,50,67,102,105,130,157,165,185,206,211,215,237,261,279,289],"performance":[28,51,167],"robustness":[30],"of":[31,52,69,76,109,121,151,159,168,187,190,199,214,233],"prediction":[32,262],"models.":[33,93,268],"However,":[34,94],"integrating":[35],"HAR":[36,71],"in":[38,156,184,236,264],"applications":[40],"requires":[41],"trust,":[42],"recent":[44],"approaches":[45],"have":[46,65],"aimed":[47],"balance":[49],"with":[56,82,116],"explainable":[57],"decision-making":[58],"for":[59,97,173,294],"complex":[60,70,181,249,295],"recognition.":[62,297],"Prior":[63],"works":[64],"exploited":[66],"compositionality":[68],"(i.e.,":[72],"higher-level":[73],"activities":[74,111],"composed":[75],"lower-level":[77,110],"activities)":[78],"form":[80,158,186],"symbolic":[83,98],"interfaces,":[84],"such":[85],"as":[86,101,205],"concept-bottleneck":[87],"architectures,":[88],"that":[89,146,210,254,278],"facilitate":[90],"inherently":[91],"interpretable":[92],"feature":[95],"engineering":[96],"concepts-as":[99],"well":[100],"relationship":[103],"between":[104],"concepts-requires":[106],"precise":[107,149],"annotation":[108,150],"by":[112,282],"domain":[113,131],"experts,":[114],"usually":[115],"fixed":[117],"time":[118,174],"windows,":[119],"all":[120],"which":[122],"induce":[123],"a":[124,188,197,202,272],"heavy":[125],"error-prone":[127],"workload":[128],"on":[129,247],"expert.":[132],"In":[133],"this":[134],"paper,":[135],"we":[136,270],"introduce":[137],"X-CHAR,":[138],"an":[139],"eXplainable":[140],"Complex":[141],"Human":[142],"Activity":[143],"Recognition":[144],"model":[145,180,246,256,284],"doesn't":[147],"require":[148],"low-level":[152,234],"activities,":[153],"offers":[154,257],"explanations":[155,258,280,290],"human-understandable,":[160],"high-level":[161],"concepts,":[162],"while":[163],"maintaining":[164],"robust":[166],"end-to-end":[169],"series":[175],"data.":[176],"X-CHAR":[177,195],"learns":[178],"sequence":[189,198,212],"concepts.":[191],"For":[192],"each":[193],"classification,":[194],"outputs":[196],"concepts":[200,216],"counterfactual":[203],"example":[204],"explanation.":[207],"We":[208,243],"show":[209,277],"information":[213],"can":[217],"be":[218],"modeled":[219],"using":[220],"Connectionist":[221],"Temporal":[222],"Classification":[223],"(CTC)":[224],"loss":[225],"without":[226,259],"having":[227],"accurate":[228],"start":[229],"end":[231],"times":[232],"annotations":[235],"training":[238],"dataset-significantly":[239],"reducing":[240],"burden.":[242],"evaluate":[244],"our":[245,255,283],"several":[248],"datasets":[251],"demonstrate":[253],"compromising":[260],"accuracy":[263],"comparison":[265],"baseline":[267],"Finally,":[269],"conducted":[271],"mechanical":[273],"Turk":[274],"study":[275],"provided":[281],"more":[286],"understandable":[287],"than":[288],"from":[291],"existing":[292],"methods":[293]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2023-04-04T00:00:00"}