{"id":"https://openalex.org/W4408324354","doi":"https://doi.org/10.1109/tim.2025.3545878","title":"Self-Supervised Learning via Domain Adaptive Adversarial Clustering for Cross-Domain Chiller Fault Diagnosis","display_name":"Self-Supervised Learning via Domain Adaptive Adversarial Clustering for Cross-Domain Chiller Fault Diagnosis","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408324354","doi":"https://doi.org/10.1109/tim.2025.3545878"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3545878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3545878","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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059429430","display_name":"Huazheng Han","orcid":"https://orcid.org/0009-0002-7434-516X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]},{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huazheng Han","raw_affiliation_strings":["Beijing Laboratory for Urban Mass Transit, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, Faculty of Information Technology, Beijing University of Technology, Beijing, China","Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, Faculty of InformationTechnology, Beijing Laboratory for Urban Mass Transit, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-7434-516X","affiliations":[{"raw_affiliation_string":"Beijing Laboratory for Urban Mass Transit, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252","https://openalex.org/I890469752"]},{"raw_affiliation_string":"Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, Faculty of InformationTechnology, Beijing Laboratory for Urban Mass Transit, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013498703","display_name":"Xuejin Gao","orcid":"https://orcid.org/0000-0003-0785-2399"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]},{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuejin Gao","raw_affiliation_strings":["Beijing Laboratory for Urban Mass Transit, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, Faculty of Information Technology, Beijing University of Technology, Beijing, China","Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, Faculty of InformationTechnology, Beijing Laboratory for Urban Mass Transit, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0785-2399","affiliations":[{"raw_affiliation_string":"Beijing Laboratory for Urban Mass Transit, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252","https://openalex.org/I890469752"]},{"raw_affiliation_string":"Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, Faculty of InformationTechnology, Beijing Laboratory for Urban Mass Transit, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054075333","display_name":"Huayun Han","orcid":"https://orcid.org/0000-0003-2504-6120"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]},{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huayun Han","raw_affiliation_strings":["Beijing Laboratory for Urban Mass Transit, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, Faculty of Information Technology, Beijing University of Technology, Beijing, China","Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, Faculty of InformationTechnology, Beijing Laboratory for Urban Mass Transit, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2504-6120","affiliations":[{"raw_affiliation_string":"Beijing Laboratory for Urban Mass Transit, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252","https://openalex.org/I890469752"]},{"raw_affiliation_string":"Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, Faculty of InformationTechnology, Beijing Laboratory for Urban Mass Transit, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067971619","display_name":"Huihui Gao","orcid":"https://orcid.org/0000-0003-3298-0309"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]},{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huihui Gao","raw_affiliation_strings":["Beijing Laboratory for Urban Mass Transit, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, Faculty of Information Technology, Beijing University of Technology, Beijing, China","Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, Faculty of InformationTechnology, Beijing Laboratory for Urban Mass Transit, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3298-0309","affiliations":[{"raw_affiliation_string":"Beijing Laboratory for Urban Mass Transit, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252","https://openalex.org/I890469752"]},{"raw_affiliation_string":"Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, Faculty of InformationTechnology, Beijing Laboratory for Urban Mass Transit, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101914317","display_name":"Yongsheng Qi","orcid":"https://orcid.org/0000-0002-6059-7035"},"institutions":[{"id":"https://openalex.org/I55654194","display_name":"Inner Mongolia University of Technology","ror":"https://ror.org/05564e019","country_code":"CN","type":"education","lineage":["https://openalex.org/I55654194"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongsheng Qi","raw_affiliation_strings":["School of Electric Power, Inner Mongolia University of Technology, Hohhot, China","School of Electric Power, Inner Mongolia University of Technology, Hohhot, Inner Mongolia, China"],"raw_orcid":"https://orcid.org/0000-0002-6059-7035","affiliations":[{"raw_affiliation_string":"School of Electric Power, Inner Mongolia University of Technology, Hohhot, China","institution_ids":["https://openalex.org/I55654194"]},{"raw_affiliation_string":"School of Electric Power, Inner Mongolia University of Technology, Hohhot, Inner Mongolia, China","institution_ids":["https://openalex.org/I55654194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058947117","display_name":"Kexin Jiang","orcid":"https://orcid.org/0009-0005-6675-0159"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]},{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kexin Jiang","raw_affiliation_strings":["Beijing Laboratory for Urban Mass Transit, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, Faculty of Information Technology, Beijing University of Technology, Beijing, China","Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, Faculty of InformationTechnology, Beijing Laboratory for Urban Mass Transit, Beijing University of Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Laboratory for Urban Mass Transit, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, Faculty of Information Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252","https://openalex.org/I890469752"]},{"raw_affiliation_string":"Beijing Key Laboratory of Computational Intelligence and Intelligent System, Engineering Research Center of Digital Community, Ministry of Education, Faculty of InformationTechnology, Beijing Laboratory for Urban Mass Transit, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0349,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.7197909,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9472000002861023,"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/T12676","display_name":"Machine Learning and ELM","score":0.9279999732971191,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7031860947608948},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6994560956954956},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6130049228668213},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6026438474655151},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5824944972991943},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4791547656059265},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4704659879207611},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4095335006713867},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14464253187179565}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7031860947608948},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6994560956954956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6130049228668213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6026438474655151},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5824944972991943},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4791547656059265},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4704659879207611},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4095335006713867},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14464253187179565},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2025.3545878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3545878","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2304100916","display_name":null,"funder_award_id":"62241309","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3033895654","display_name":null,"funder_award_id":"4222041","funder_id":"https://openalex.org/F4320334977","funder_display_name":"Beijing Municipal Natural Science Foundation"},{"id":"https://openalex.org/G4326318879","display_name":null,"funder_award_id":"4222041","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320334977","display_name":"Beijing Municipal Natural Science Foundation","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W2104094955","https://openalex.org/W2131953535","https://openalex.org/W2887782657","https://openalex.org/W2896365146","https://openalex.org/W2903917280","https://openalex.org/W2914544941","https://openalex.org/W2963993484","https://openalex.org/W3046698617","https://openalex.org/W3184465100","https://openalex.org/W3195438473","https://openalex.org/W3201573381","https://openalex.org/W3208122993","https://openalex.org/W4206177710","https://openalex.org/W4206821701","https://openalex.org/W4285127705","https://openalex.org/W4308487743","https://openalex.org/W4309164266","https://openalex.org/W4312464524","https://openalex.org/W4312752917","https://openalex.org/W4319993283","https://openalex.org/W4378472924","https://openalex.org/W4378895269","https://openalex.org/W4379034007","https://openalex.org/W4382318405","https://openalex.org/W4384519374","https://openalex.org/W4384819582","https://openalex.org/W4386083131","https://openalex.org/W4388407737","https://openalex.org/W4390331561","https://openalex.org/W4392183808","https://openalex.org/W4394836618","https://openalex.org/W4399975984","https://openalex.org/W4401559000","https://openalex.org/W6639480849","https://openalex.org/W6797001314","https://openalex.org/W6802538380"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4288019534"],"abstract_inverted_index":{"The":[0,34],"chiller":[1,39],"is":[2,24,64,108,141,164,183],"the":[3,7,17,22,38,49,102,114,121,144,148,168,172,179,199,217],"core":[4],"component":[5],"of":[6,21,25,37,51,190,202],"heating,":[8],"ventilation,":[9],"and":[10,31,42,125,159,174,192,205,212],"air":[11],"conditioning":[12],"(HVAC)":[13],"system,":[14],"such":[15],"that":[16,216],"intelligent":[18],"fault":[19,58,70,92,228],"diagnosis":[20,71,93,229],"chillers":[23],"great":[26],"significance":[27],"for":[28,76,233],"equipment":[29],"safety":[30],"energy":[32],"conservation.":[33],"working":[35,62,78,99],"conditions":[36,63],"are":[40,152],"complex":[41],"changeable,":[43],"resulting":[44],"in":[45,48,97,154],"considerable":[46],"differences":[47],"distribution":[50],"their":[52],"operating":[53],"data.":[54],"In":[55,146],"addition,":[56,147],"collecting":[57],"data":[59,75,122,232],"under":[60,94],"various":[61],"also":[65],"very":[66],"costly.":[67],"To":[68],"address":[69],"challenges":[72],"without":[73,230],"labeled":[74,231],"changing":[77],"conditions,":[79],"this":[80,177],"article":[81],"proposes":[82],"a":[83,128,133,155,160],"domain":[84,150,194],"adaptive":[85,219],"adversarial":[86,181],"clustering":[87,189,220],"(DAAC)":[88],"algorithm,":[89],"which":[90],"achieves":[91],"dynamic":[95,188],"distributions":[96],"evolving":[98],"conditions.":[100,235],"Specifically,":[101],"residual":[103],"model":[104],"based":[105],"on":[106,198],"autoencoders":[107],"used":[109],"to":[110,127,166,186],"decouple":[111],"features.":[112,195],"Then,":[113],"feature":[115,224],"representation":[116],"can":[117],"be":[118],"obtained":[119],"through":[120],"encoding":[123],"network":[124,137],"mapped":[126],"unit":[129],"sphere":[130],"space.":[131],"Simultaneously,":[132],"single-layer":[134],"unbiased":[135],"neural":[136],"classifier\u2019s":[138],"weight":[139],"matrix":[140],"initialized":[142],"as":[143],"prototype.":[145],"target":[149,173,193,234],"features":[151],"stored":[153],"memory":[156],"buffer":[157],"(MB),":[158],"nonparametric":[161],"softmax":[162],"classifier":[163],"adopted":[165],"calculate":[167],"similarity":[169],"entropy":[170],"between":[171],"prototypes.":[175],"On":[176],"basis,":[178],"iterative":[180],"optimization":[182],"carried":[184],"out":[185],"achieve":[187],"prototypes":[191],"Experimental":[196],"results":[197],"American":[200],"Society":[201],"Heating,":[203],"Refrigerating,":[204],"Air":[206],"Conditioning":[207],"Engineers":[208],"(ASHRAE)":[209],"RP-1043":[210],"dataset":[211,214],"HY-31C":[213],"show":[215],"self-supervised":[218],"method":[221],"exhibits":[222],"excellent":[223],"alignment,":[225],"enabling":[226],"high-precision":[227]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
