{"id":"https://openalex.org/W4292184394","doi":"https://doi.org/10.3390/rs14163919","title":"FiFoNet: Fine-Grained Target Focusing Network for Object Detection in UAV Images","display_name":"FiFoNet: Fine-Grained Target Focusing Network for Object Detection in UAV Images","publication_year":2022,"publication_date":"2022-08-12","ids":{"openalex":"https://openalex.org/W4292184394","doi":"https://doi.org/10.3390/rs14163919"},"language":"en","primary_location":{"id":"doi:10.3390/rs14163919","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14163919","pdf_url":"https://www.mdpi.com/2072-4292/14/16/3919/pdf?version=1660810218","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/14/16/3919/pdf?version=1660810218","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100355598","display_name":"Yue Xi","orcid":"https://orcid.org/0000-0002-3689-1621"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Xi","raw_affiliation_strings":["Guangzhou Institute of Technology, Xidian University, Guangzhou 510555, China"],"affiliations":[{"raw_affiliation_string":"Guangzhou Institute of Technology, Xidian University, Guangzhou 510555, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100395314","display_name":"Wenjing Jia","orcid":"https://orcid.org/0000-0002-0940-3338"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Wenjing Jia","raw_affiliation_strings":["Global Big Data Technologies Centre, University of Technology Sydney, Ultimo, NSW 2007, Australia"],"affiliations":[{"raw_affiliation_string":"Global Big Data Technologies Centre, University of Technology Sydney, Ultimo, NSW 2007, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007404362","display_name":"Qiguang Miao","orcid":"https://orcid.org/0000-0002-2872-388X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiguang Miao","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi\u2019an 710071, China","School of Computer Science and Technology, Xidian University, Xi'an 710071, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018918849","display_name":"Xiangzeng Liu","orcid":"https://orcid.org/0000-0002-2751-6096"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangzeng Liu","raw_affiliation_strings":["School of Computer Science and Technology, Xidian University, Xi\u2019an 710071, China","School of Computer Science and Technology, Xidian University, Xi'an 710071, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi\u2019an 710071, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Computer Science and Technology, Xidian University, Xi'an 710071, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103169022","display_name":"Xiaochen Fan","orcid":"https://orcid.org/0000-0001-8945-3046"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaochen Fan","raw_affiliation_strings":["Department of Electronic Engineering, Tsinghua University, Beijing 100084, China"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028780369","display_name":"Hanhui Li","orcid":"https://orcid.org/0000-0002-9838-6532"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanhui Li","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen 518107, China"],"affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen 518107, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5007404362"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.7563,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.9176045,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"14","issue":"16","first_page":"3919","last_page":"3919"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9997000098228455,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983000159263611,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9973999857902527,"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/computer-science","display_name":"Computer science","score":0.8548340201377869},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6966516375541687},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5593339800834656},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5388635396957397},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5075058341026306},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4868599772453308},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4715048372745514},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.45424091815948486},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4469960927963257},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.43888500332832336},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43250876665115356},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.41504472494125366},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32635363936424255}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8548340201377869},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6966516375541687},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5593339800834656},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5388635396957397},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5075058341026306},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4868599772453308},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4715048372745514},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.45424091815948486},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4469960927963257},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.43888500332832336},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43250876665115356},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.41504472494125366},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32635363936424255},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14163919","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14163919","pdf_url":"https://www.mdpi.com/2072-4292/14/16/3919/pdf?version=1660810218","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:710952bef09e4601bc73a828f3d74b26","is_oa":true,"landing_page_url":"https://doaj.org/article/710952bef09e4601bc73a828f3d74b26","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 14, Iss 16, p 3919 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/16/3919/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14163919","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Remote Sensing; Volume 14; Issue 16; Pages: 3919","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14163919","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14163919","pdf_url":"https://www.mdpi.com/2072-4292/14/16/3919/pdf?version=1660810218","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7644072411","display_name":null,"funder_award_id":"20101216855","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4292184394.pdf","grobid_xml":"https://content.openalex.org/works/W4292184394.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1483870316","https://openalex.org/W2037227137","https://openalex.org/W2121880036","https://openalex.org/W2193145675","https://openalex.org/W2288122362","https://openalex.org/W2553303224","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2579152745","https://openalex.org/W2625219738","https://openalex.org/W2768489488","https://openalex.org/W2769613401","https://openalex.org/W2779991293","https://openalex.org/W2896155169","https://openalex.org/W2912512021","https://openalex.org/W2962721361","https://openalex.org/W2962777203","https://openalex.org/W2962849972","https://openalex.org/W2963840241","https://openalex.org/W2963856926","https://openalex.org/W2963857746","https://openalex.org/W2964444661","https://openalex.org/W2965318645","https://openalex.org/W2966102073","https://openalex.org/W2980858786","https://openalex.org/W2985384565","https://openalex.org/W2991359031","https://openalex.org/W3004910693","https://openalex.org/W3022917557","https://openalex.org/W3034971973","https://openalex.org/W3106250896","https://openalex.org/W3111240947","https://openalex.org/W3113117059","https://openalex.org/W3116963012","https://openalex.org/W3118837087","https://openalex.org/W3119512662","https://openalex.org/W3128340563","https://openalex.org/W3131204991","https://openalex.org/W3157386596","https://openalex.org/W3159999130","https://openalex.org/W3165277223","https://openalex.org/W3168844623","https://openalex.org/W3171660447","https://openalex.org/W3175126800","https://openalex.org/W3175630421","https://openalex.org/W3176346992","https://openalex.org/W3180134609","https://openalex.org/W3183977782","https://openalex.org/W3205100603","https://openalex.org/W3210586215","https://openalex.org/W3214498996","https://openalex.org/W4206424103","https://openalex.org/W4207034821","https://openalex.org/W4214520160","https://openalex.org/W6757804589","https://openalex.org/W6761306150","https://openalex.org/W6785465245"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2372403409","https://openalex.org/W4242726756","https://openalex.org/W2737719445","https://openalex.org/W3147584709","https://openalex.org/W2795079307","https://openalex.org/W2977677679","https://openalex.org/W2793058541","https://openalex.org/W1834370135","https://openalex.org/W4292830139"],"abstract_inverted_index":{"Detecting":[0],"objects":[1],"from":[2,72],"images":[3],"captured":[4],"by":[5],"Unmanned":[6],"Aerial":[7],"Vehicles":[8],"(UAVs)":[9],"is":[10,16],"a":[11,19,50,86,96,121],"highly":[12],"demanding":[13],"task.":[14],"It":[15],"also":[17,70],"considered":[18],"very":[20,43],"challenging":[21,150],"task":[22,151],"due":[23],"to":[24,53,126,207],"the":[25,33,61,64,73,77,111,114,142,145,149,161,174,180],"typically":[26],"cluttered":[27],"background":[28,74,106],"and":[29,69,104,129,133,170,183],"diverse":[30],"dimensions":[31],"of":[32,63,98,113,137,144,152,160,176],"foreground":[34],"targets,":[35],"especially":[36],"small":[37,55,138],"object":[38,68,103,153],"areas":[39],"that":[40],"contain":[41],"only":[42,202],"limited":[44],"information.":[45],"Multi-scale":[46],"representation":[47],"learning":[48],"presents":[49],"remarkable":[51,187],"approach":[52],"recognizing":[54],"objects.":[56,139],"However,":[57],"this":[58,82],"strategy":[59],"ignores":[60],"combination":[62,97],"sub-parts":[65],"in":[66,76,155],"an":[67,102,193,209],"suffers":[71],"interference":[75],"feature":[78,116],"fusion":[79],"process.":[80],"To":[81],"end,":[83],"we":[84,119],"propose":[85,120],"Fine-grained":[87],"Target":[88],"Focusing":[89],"Network":[90],"(FiFoNet)":[91],"which":[92,108,178],"can":[93],"effectively":[94],"select":[95],"multi-scale":[99,115],"features":[100],"for":[101],"block":[105],"interference,":[107],"further":[109],"revitalizes":[110],"differentiability":[112],"representation.":[117],"Furthermore,":[118],"Global\u2013Local":[122],"Context":[123],"Collector":[124],"(GLCC)":[125],"extract":[127],"global":[128],"local":[130],"contextual":[131],"information":[132],"enhance":[134],"low-quality":[135],"representations":[136],"We":[140],"evaluate":[141],"performance":[143,188],"proposed":[146],"FiFoNet":[147,201],"on":[148,164,192],"detection":[154],"UAV":[156],"images.":[157],"A":[158],"comparison":[159],"experiment":[162],"results":[163],"three":[165],"datasets,":[166],"namely":[167],"VisDrone2019,":[168],"UAVDT,":[169],"our":[171,200],"VisDrone_Foggy,":[172],"demonstrates":[173],"effectiveness":[175],"FiFoNet,":[177],"outperforms":[179],"ten":[181],"baseline":[182],"state-of-the-art":[184],"models":[185],"with":[186],"improvements.":[189],"When":[190],"deployed":[191],"edge":[194],"device":[195],"NVIDIA":[196],"JETSON":[197],"XAVIER":[198],"NX,":[199],"takes":[203],"about":[204],"80":[205],"milliseconds":[206],"process":[208],"drone-captured":[210],"image.":[211]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
