{"id":"https://openalex.org/W4367680936","doi":"https://doi.org/10.1145/3593588","title":"Recent Few-shot Object Detection Algorithms: A Survey with Performance Comparison","display_name":"Recent Few-shot Object Detection Algorithms: A Survey with Performance Comparison","publication_year":2023,"publication_date":"2023-05-02","ids":{"openalex":"https://openalex.org/W4367680936","doi":"https://doi.org/10.1145/3593588"},"language":"en","primary_location":{"id":"doi:10.1145/3593588","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3593588","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3593588","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101651765","display_name":"Tianying Liu","orcid":"https://orcid.org/0000-0003-3155-7832"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianying Liu","raw_affiliation_strings":["Tongji University, China"],"raw_orcid":"https://orcid.org/0000-0003-3155-7832","affiliations":[{"raw_affiliation_string":"Tongji University, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100388587","display_name":"Lu Zhang","orcid":"https://orcid.org/0000-0001-9532-5219"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Zhang","raw_affiliation_strings":["Fudan University, China"],"raw_orcid":"https://orcid.org/0000-0001-9532-5219","affiliations":[{"raw_affiliation_string":"Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100762358","display_name":"Yang Wang","orcid":"https://orcid.org/0000-0002-0209-9476"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Wang","raw_affiliation_strings":["Tongji University, China"],"raw_orcid":"https://orcid.org/0000-0002-0209-9476","affiliations":[{"raw_affiliation_string":"Tongji University, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086316879","display_name":"Jihong Guan","orcid":"https://orcid.org/0000-0003-2313-7635"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jihong Guan","raw_affiliation_strings":["Tongji University, China"],"raw_orcid":"https://orcid.org/0000-0003-2313-7635","affiliations":[{"raw_affiliation_string":"Tongji University, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084959430","display_name":"Yanwei Fu","orcid":"https://orcid.org/0000-0002-6595-6893"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanwei Fu","raw_affiliation_strings":["Fudan University, China"],"raw_orcid":"https://orcid.org/0000-0002-6595-6893","affiliations":[{"raw_affiliation_string":"Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101987147","display_name":"Jiajia Zhao","orcid":"https://orcid.org/0009-0004-2976-7149"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiajia Zhao","raw_affiliation_strings":["Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory, China"],"raw_orcid":"https://orcid.org/0009-0004-2976-7149","affiliations":[{"raw_affiliation_string":"Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017862559","display_name":"Shuigeng Zhou","orcid":"https://orcid.org/0000-0002-1949-2768"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuigeng Zhou","raw_affiliation_strings":["Fudan University, China"],"raw_orcid":"https://orcid.org/0000-0002-1949-2768","affiliations":[{"raw_affiliation_string":"Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.8528,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.97569006,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"14","issue":"4","first_page":"1","last_page":"36"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8639487028121948},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6117890477180481},{"id":"https://openalex.org/keywords/taxonomy","display_name":"Taxonomy (biology)","score":0.607866644859314},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5561189651489258},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.49675923585891724},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.4857623875141144},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.47157353162765503},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4531472325325012},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4525713622570038},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4383430480957031},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.11895796656608582}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8639487028121948},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6117890477180481},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.607866644859314},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5561189651489258},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.49675923585891724},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4857623875141144},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.47157353162765503},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4531472325325012},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4525713622570038},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4383430480957031},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.11895796656608582},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3593588","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3593588","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3593588","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3593588","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G6705365387","display_name":null,"funder_award_id":"U1936205","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":169,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1686810756","https://openalex.org/W1861492603","https://openalex.org/W1934621328","https://openalex.org/W2010132303","https://openalex.org/W2031489346","https://openalex.org/W2037227137","https://openalex.org/W2064675550","https://openalex.org/W2081580037","https://openalex.org/W2088049833","https://openalex.org/W2090059204","https://openalex.org/W2096733369","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2144506857","https://openalex.org/W2153579005","https://openalex.org/W2186827065","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2418676188","https://openalex.org/W2565639579","https://openalex.org/W2566365295","https://openalex.org/W2570343428","https://openalex.org/W2579985080","https://openalex.org/W2742079690","https://openalex.org/W2752782242","https://openalex.org/W2767566874","https://openalex.org/W2788159735","https://openalex.org/W2788210750","https://openalex.org/W2798748179","https://openalex.org/W2798836702","https://openalex.org/W2813911573","https://openalex.org/W2884367402","https://openalex.org/W2902069582","https://openalex.org/W2909383239","https://openalex.org/W2909779890","https://openalex.org/W2913092285","https://openalex.org/W2913340405","https://openalex.org/W2914393402","https://openalex.org/W2934198733","https://openalex.org/W2944165510","https://openalex.org/W2944659700","https://openalex.org/W2962837320","https://openalex.org/W2963037989","https://openalex.org/W2963078860","https://openalex.org/W2963091558","https://openalex.org/W2963106996","https://openalex.org/W2963150697","https://openalex.org/W2963179609","https://openalex.org/W2963299996","https://openalex.org/W2963350370","https://openalex.org/W2963351448","https://openalex.org/W2963680240","https://openalex.org/W2963786238","https://openalex.org/W2963795442","https://openalex.org/W2963845150","https://openalex.org/W2963857746","https://openalex.org/W2963927307","https://openalex.org/W2964105864","https://openalex.org/W2964121718","https://openalex.org/W2964444661","https://openalex.org/W2970369250","https://openalex.org/W2972006294","https://openalex.org/W2981842371","https://openalex.org/W2982593143","https://openalex.org/W2982770724","https://openalex.org/W2983156430","https://openalex.org/W2988916019","https://openalex.org/W2989604896","https://openalex.org/W2996583130","https://openalex.org/W2997322677","https://openalex.org/W2997616671","https://openalex.org/W3009213340","https://openalex.org/W3009353929","https://openalex.org/W3011722050","https://openalex.org/W3012573144","https://openalex.org/W3013211776","https://openalex.org/W3018757597","https://openalex.org/W3034421924","https://openalex.org/W3034427487","https://openalex.org/W3034453888","https://openalex.org/W3034942609","https://openalex.org/W3034971973","https://openalex.org/W3034974675","https://openalex.org/W3035370595","https://openalex.org/W3035396860","https://openalex.org/W3035478146","https://openalex.org/W3035513921","https://openalex.org/W3035524459","https://openalex.org/W3035725370","https://openalex.org/W3036984428","https://openalex.org/W3043372854","https://openalex.org/W3043995050","https://openalex.org/W3046014872","https://openalex.org/W3049433044","https://openalex.org/W3095270930","https://openalex.org/W3096609285","https://openalex.org/W3097651496","https://openalex.org/W3106250896","https://openalex.org/W3110528336","https://openalex.org/W3138516171","https://openalex.org/W3154360923","https://openalex.org/W3159481202","https://openalex.org/W3166058839","https://openalex.org/W3169708801","https://openalex.org/W3174017448","https://openalex.org/W3174396556","https://openalex.org/W3175373796","https://openalex.org/W3175577495","https://openalex.org/W3176376875","https://openalex.org/W3176709420","https://openalex.org/W3179565650","https://openalex.org/W3180088301","https://openalex.org/W3180725527","https://openalex.org/W3180959016","https://openalex.org/W3181868327","https://openalex.org/W3190805089","https://openalex.org/W3191799143","https://openalex.org/W3193277204","https://openalex.org/W3194193742","https://openalex.org/W3199726742","https://openalex.org/W3200297852","https://openalex.org/W3202403972","https://openalex.org/W3204676188","https://openalex.org/W3208441708","https://openalex.org/W3209812805","https://openalex.org/W3211980987","https://openalex.org/W4213450898","https://openalex.org/W4214522698","https://openalex.org/W4214627427","https://openalex.org/W4214724741","https://openalex.org/W4221153119","https://openalex.org/W4224437015","https://openalex.org/W4224951341","https://openalex.org/W4225771441","https://openalex.org/W4226483843","https://openalex.org/W4229448918","https://openalex.org/W4280516663","https://openalex.org/W4285662084","https://openalex.org/W4289535682","https://openalex.org/W4292199858","https://openalex.org/W4292787476","https://openalex.org/W4293519316","https://openalex.org/W4293584584","https://openalex.org/W4294170691","https://openalex.org/W4294646197","https://openalex.org/W4303633609","https://openalex.org/W4304084306","https://openalex.org/W4304732367","https://openalex.org/W4312120191","https://openalex.org/W4312423884","https://openalex.org/W4312465640","https://openalex.org/W4312530527","https://openalex.org/W4312702383","https://openalex.org/W4312755049","https://openalex.org/W4366344170","https://openalex.org/W4382462248","https://openalex.org/W6684821475","https://openalex.org/W6732243160","https://openalex.org/W6732742072","https://openalex.org/W6742058293","https://openalex.org/W6750227808","https://openalex.org/W6750254146","https://openalex.org/W6756356357","https://openalex.org/W6760424586","https://openalex.org/W6762082143","https://openalex.org/W6781819027","https://openalex.org/W6810778674","https://openalex.org/W6811537471"],"related_works":["https://openalex.org/W3201126466","https://openalex.org/W4282827391","https://openalex.org/W4405541655","https://openalex.org/W4386828785","https://openalex.org/W2737719445","https://openalex.org/W2732813147","https://openalex.org/W2143460112","https://openalex.org/W2042906257","https://openalex.org/W4292830139","https://openalex.org/W4319309705"],"abstract_inverted_index":{"The":[0,222],"generic":[1,77],"object":[2,35,41,78,88],"detection":[3],"(GOD)":[4],"task":[5],"has":[6,58,97],"been":[7,59,98],"successfully":[8],"tackled":[9],"by":[10,16],"recent":[11,101,181],"deep":[12],"neural":[13],"networks,":[14],"trained":[15],"an":[17,209],"avalanche":[18],"of":[19,68,140,183,196,204,211,242],"annotated":[20],"training":[21,48],"samples":[22],"from":[23,80,154],"some":[24],"common":[25,82,217],"classes.":[26,89],"However,":[27],"it":[28,63],"is":[29,178,224],"still":[30],"non-trivial":[31],"to":[32,37,70,84],"generalize":[33],"these":[34,112,197],"detectors":[36],"the":[38,53,65,75,81,85,91,138,150,189,192,201,214,243],"novel":[39,86],"long-tailed":[40,87],"classes,":[42],"which":[43],"have":[44],"only":[45],"few":[46],"labeled":[47],"samples.":[49],"To":[50,110],"this":[51,94,235],"end,":[52],"Few-Shot":[54],"Object":[55],"Detection":[56],"(FSOD)":[57],"topical":[60],"recently,":[61],"as":[62,137],"mimics":[64],"humans\u2019":[66],"ability":[67],"learning":[69,142],"learn":[71],"and":[72,107,134,143,169,194,199,219,253],"intelligently":[73],"transfers":[74],"learned":[76],"knowledge":[79],"heavy-tailed":[83],"Especially,":[90],"research":[92],"in":[93,100,245],"emerging":[95],"field":[96],"flourishing":[99],"years":[102],"with":[103,175],"various":[104],"benchmarks,":[105],"backbones,":[106],"methodologies":[108],"proposed.":[109],"review":[111,149,241],"FSOD":[113,119,152,229],"works,":[114],"there":[115],"are":[116,256],"several":[117],"insightful":[118],"survey":[120,174],"articles":[121],"[":[122],"58":[123],",":[124,126,128],"59":[125],"74":[127],"78":[129],"]":[130],"that":[131,227],"systematically":[132],"study":[133],"compare":[135],"them":[136],"groups":[139,228],"fine-tuning/transfer":[141],"meta-learning":[144],"methods.":[145],"In":[146],"contrast,":[147],"we":[148,186,207,237],"existing":[151],"algorithms":[153],"a":[155,159,172,239],"new":[156,160],"perspective":[157],"under":[158],"taxonomy":[161,223],"based":[162],"on":[163,180,250],"their":[164],"contributions,":[165],"i.e.,":[166],"data-oriented,":[167],"model-oriented,":[168],"algorithm-oriented.":[170],"Thus,":[171],"comprehensive":[173],"performance":[176],"comparison":[177],"conducted":[179],"achievements":[182],"FSOD.":[184,205,246],"Furthermore,":[185],"also":[187],"analyze":[188],"technical":[190],"challenges,":[191,252],"merits":[193],"demerits":[195],"methods,":[198],"envision":[200],"future":[202,254],"directions":[203,255],"Specifically,":[206],"give":[208],"overview":[210],"FSOD,":[212],"including":[213],"problem":[215],"definition,":[216],"datasets,":[218],"evaluation":[220],"protocols.":[221],"then":[225],"proposed":[226],"methods":[230],"into":[231],"three":[232],"types.":[233],"Following":[234],"taxonomy,":[236],"provide":[238],"systematic":[240],"advances":[244],"Finally,":[247],"further":[248],"discussions":[249],"performance,":[251],"presented.":[257]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":7}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
