{"id":"https://openalex.org/W2322373233","doi":"https://doi.org/10.1109/tcyb.2016.2538199","title":"Cross-Domain Recognition by Identifying Joint Subspaces of Source Domain and Target Domain","display_name":"Cross-Domain Recognition by Identifying Joint Subspaces of Source Domain and Target Domain","publication_year":2016,"publication_date":"2016-03-21","ids":{"openalex":"https://openalex.org/W2322373233","doi":"https://doi.org/10.1109/tcyb.2016.2538199","mag":"2322373233","pmid":"https://pubmed.ncbi.nlm.nih.gov/28113882"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2016.2538199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2016.2538199","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.osti.gov/biblio/1491680","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5027105734","display_name":"Yuewei Lin","orcid":"https://orcid.org/0000-0002-1429-4543"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuewei Lin","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067317008","display_name":"Jing Chen","orcid":"https://orcid.org/0000-0002-2461-5179"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Chen","raw_affiliation_strings":["Chongqing University, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103124835","display_name":"Yu Cao","orcid":"https://orcid.org/0000-0002-2630-2475"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]},{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Cao","raw_affiliation_strings":["IBM Almaden Research Center, San Jose, CA, USA","University of South Carolina, Columbia, SC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Almaden Research Center, San Jose, CA, USA","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"University of South Carolina, Columbia, SC, USA","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102993434","display_name":"Youjie Zhou","orcid":"https://orcid.org/0000-0001-7188-6329"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Youjie Zhou","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101749694","display_name":"Lingfeng Zhang","orcid":"https://orcid.org/0000-0002-6427-9587"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lingfeng Zhang","raw_affiliation_strings":["University of Houston, Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085140523","display_name":"Yuan Yan Tang","orcid":"https://orcid.org/0000-0002-6887-130X"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Yuan Yan Tang","raw_affiliation_strings":["University of Macau, Macau, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082259804","display_name":"Song Wang","orcid":"https://orcid.org/0000-0003-4152-5295"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Song Wang","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Carolina, Columbia, SC, USA","institution_ids":["https://openalex.org/I155781252"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.1972,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.95638622,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"47","issue":"4","first_page":"1090","last_page":"1101"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9997000098228455,"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":0.9750000238418579,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9735000133514404,"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/linear-subspace","display_name":"Linear subspace","score":0.9435218572616577},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.7397900819778442},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6862595677375793},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6641549468040466},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6089034080505371},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6046599745750427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5424547791481018},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5208173990249634},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4294455051422119},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3447533845901489},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3106071949005127},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.053729116916656494}],"concepts":[{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.9435218572616577},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.7397900819778442},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6862595677375793},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6641549468040466},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6089034080505371},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6046599745750427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5424547791481018},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5208173990249634},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4294455051422119},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3447533845901489},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3106071949005127},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.053729116916656494},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tcyb.2016.2538199","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2016.2538199","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:28113882","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28113882","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":"IEEE transactions on cybernetics","raw_type":null},{"id":"pmh:oai:osti.gov:1491680","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1491680","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:osti.gov:1491680","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1491680","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G100679431","display_name":null,"funder_award_id":"MYRG2015-00049-FST","funder_id":"https://openalex.org/F4320322841","funder_display_name":"Universidade de Macau"},{"id":"https://openalex.org/G3165732353","display_name":null,"funder_award_id":"FA9550-11-1-0327","funder_id":"https://openalex.org/F4320338279","funder_display_name":"Air Force Office of Scientific Research"},{"id":"https://openalex.org/G6363158233","display_name":null,"funder_award_id":"W911NF-10-2-0060","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"},{"id":"https://openalex.org/G6697880830","display_name":null,"funder_award_id":"61273244","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6910421240","display_name":null,"funder_award_id":"MYRG2015-00050-FST","funder_id":"https://openalex.org/F4320322841","funder_display_name":"Universidade de Macau"},{"id":"https://openalex.org/G7155045473","display_name":null,"funder_award_id":"RDG009/FST-TYY/2012","funder_id":"https://openalex.org/F4320322841","funder_display_name":"Universidade de Macau"},{"id":"https://openalex.org/G7226084225","display_name":null,"funder_award_id":"IIS-1017199","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322841","display_name":"Universidade de Macau","ror":"https://ror.org/01r4q9n85"},{"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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W1576445103","https://openalex.org/W1682040381","https://openalex.org/W1722318740","https://openalex.org/W1892837366","https://openalex.org/W1971221757","https://openalex.org/W1972702299","https://openalex.org/W1974573780","https://openalex.org/W1982696459","https://openalex.org/W1985583020","https://openalex.org/W1985967702","https://openalex.org/W1993962865","https://openalex.org/W2004080111","https://openalex.org/W2018759642","https://openalex.org/W2031342017","https://openalex.org/W2046385669","https://openalex.org/W2054210502","https://openalex.org/W2057266281","https://openalex.org/W2085269372","https://openalex.org/W2089685866","https://openalex.org/W2097308346","https://openalex.org/W2104068492","https://openalex.org/W2106409489","https://openalex.org/W2112483442","https://openalex.org/W2115403315","https://openalex.org/W2118045473","https://openalex.org/W2119605622","https://openalex.org/W2120149881","https://openalex.org/W2120354757","https://openalex.org/W2121010533","https://openalex.org/W2123432324","https://openalex.org/W2126017757","https://openalex.org/W2128053425","https://openalex.org/W2129517580","https://openalex.org/W2132175002","https://openalex.org/W2134234438","https://openalex.org/W2138516811","https://openalex.org/W2139823104","https://openalex.org/W2149466042","https://openalex.org/W2154624311","https://openalex.org/W2155284717","https://openalex.org/W2155541015","https://openalex.org/W2157785665","https://openalex.org/W2158108973","https://openalex.org/W2158751697","https://openalex.org/W2158815628","https://openalex.org/W2160547390","https://openalex.org/W2162950292","https://openalex.org/W2163302275","https://openalex.org/W2165698076","https://openalex.org/W2165916500","https://openalex.org/W2171370495","https://openalex.org/W2255038316","https://openalex.org/W2295102813","https://openalex.org/W2595142274","https://openalex.org/W2950333415","https://openalex.org/W3146885639","https://openalex.org/W4235618170","https://openalex.org/W4285719527","https://openalex.org/W4294375521","https://openalex.org/W6634343353","https://openalex.org/W6637154279","https://openalex.org/W6637542466","https://openalex.org/W6672976891","https://openalex.org/W6676840641","https://openalex.org/W6677741084","https://openalex.org/W6680434193","https://openalex.org/W6681637710","https://openalex.org/W6682725716","https://openalex.org/W6682778277","https://openalex.org/W6683245480","https://openalex.org/W6683401423","https://openalex.org/W6684149856","https://openalex.org/W6692019673"],"related_works":["https://openalex.org/W3100286349","https://openalex.org/W2896134808","https://openalex.org/W4289378085","https://openalex.org/W4294291164","https://openalex.org/W3172436493","https://openalex.org/W1887135636","https://openalex.org/W4287164812","https://openalex.org/W2386063599","https://openalex.org/W1975884855","https://openalex.org/W3213150849"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,22,50,115,162],"new":[4],"method":[5,37,80,234,264],"to":[6,41,140,147,149,193,198,216,223],"solve":[7],"the":[8,14,30,35,57,61,78,82,85,91,96,100,110,120,127,150,167,176,183,190,194,200,212,217,227,232,262,266],"cross-domain":[9,92],"recognition":[10,93,242],"problem.":[11],"Different":[12],"from":[13,60,75],"traditional":[15],"domain":[16,24,87],"adaption":[17],"methods":[18,268],"which":[19,165],"rely":[20],"on":[21,66,235,269],"global":[23,86],"shift":[25],"for":[26,117,244,253],"all":[27],"classes":[28],"between":[29,173],"source":[31,101,111,177,196],"and":[32,52,89,102,143,169,178,181,221,248],"target":[33,103,128,179,228],"domains,":[34,77,180],"proposed":[36,79,233,263],"is":[38,157],"more":[39],"flexible":[40],"capture":[42],"individual":[43],"class":[44,63,155],"variations":[45],"across":[46,175],"domains.":[47,104],"By":[48],"adopting":[49],"natural":[51,254],"widely":[53,237],"used":[54,238],"assumption":[55],"that":[56,137,261],"data":[58,213,225],"samples":[59,108,136,214],"same":[62,151,218],"should":[64],"lay":[65],"an":[67],"intrinsic":[68],"low-dimensional":[69],"subspace,":[70],"even":[71],"if":[72],"they":[73],"come":[74],"different":[76],"circumvents":[81],"limitation":[83],"of":[84,99,119],"shift,":[88],"solves":[90],"by":[94,133,160],"finding":[95],"joint":[97,201,219],"subspaces":[98,125,174,192,197,220],"Specifically,":[105],"given":[106],"labeled":[107],"in":[109,126,226],"domain,":[112,129],"we":[113,123],"construct":[114,124,199],"subspace":[116],"each":[118,141],"classes.":[121],"Then":[122],"called":[130],"anchor":[131,184,191],"subspaces,":[132,185],"collecting":[134],"unlabeled":[135,224],"are":[138,144,209],"close":[139],"other":[142],"highly":[145],"likely":[146],"belong":[148],"class.":[152],"The":[153],"corresponding":[154,195],"label":[156],"then":[158],"assigned":[159],"minimizing":[161],"cost":[163],"function":[164],"reflects":[166],"overlap":[168],"topological":[170],"structure":[171],"consistency":[172],"within":[182],"respectively.":[186],"We":[187,230],"further":[188],"combine":[189],"subspaces.":[202],"Subsequently,":[203],"one-versus-rest":[204],"support":[205],"vector":[206],"machine":[207],"classifiers":[208],"trained":[210],"using":[211],"belonging":[215],"applied":[222],"domain.":[229],"evaluate":[231],"two":[236],"datasets:":[239],"1)":[240],"object":[241],"dataset":[243,252],"computer":[245],"vision":[246],"tasks":[247],"2)":[249],"sentiment":[250],"classification":[251],"language":[255],"processing":[256],"tasks.":[257],"Comparison":[258],"results":[259],"demonstrate":[260],"outperforms":[265],"comparison":[267],"both":[270],"datasets.":[271]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
