{"id":"https://openalex.org/W4379233262","doi":"https://doi.org/10.3390/rs15112891","title":"Deep-Learning-Based Rice Phenological Stage Recognition","display_name":"Deep-Learning-Based Rice Phenological Stage Recognition","publication_year":2023,"publication_date":"2023-06-01","ids":{"openalex":"https://openalex.org/W4379233262","doi":"https://doi.org/10.3390/rs15112891"},"language":"en","primary_location":{"id":"doi:10.3390/rs15112891","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15112891","pdf_url":"https://www.mdpi.com/2072-4292/15/11/2891/pdf?version=1686015376","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/2072-4292/15/11/2891/pdf?version=1686015376","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102916895","display_name":"Jiale Qin","orcid":null},"institutions":[{"id":"https://openalex.org/I119868032","display_name":"Shanxi Agricultural University","ror":"https://ror.org/05e9f5362","country_code":"CN","type":"education","lineage":["https://openalex.org/I119868032"]},{"id":"https://openalex.org/I4210093981","display_name":"Agricultural Information Institute","ror":"https://ror.org/00q62zf58","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210093981","https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiale Qin","raw_affiliation_strings":["Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081, China","School of Software, Shanxi Agricultural University, Jinzhong 030801, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081, China","institution_ids":["https://openalex.org/I4210093981","https://openalex.org/I4210138501"]},{"raw_affiliation_string":"School of Software, Shanxi Agricultural University, Jinzhong 030801, China","institution_ids":["https://openalex.org/I119868032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029757354","display_name":"Tianci Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I166427055","display_name":"Xinjiang Agricultural University","ror":"https://ror.org/04qjh2h11","country_code":"CN","type":"education","lineage":["https://openalex.org/I166427055"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianci Hu","raw_affiliation_strings":["College of Computer and Information Engineering, Xinjiang Agricultural University, Urumqi 830052, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information Engineering, Xinjiang Agricultural University, Urumqi 830052, China","institution_ids":["https://openalex.org/I166427055"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046472372","display_name":"Jianghao Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I108160477","display_name":"Hebei Agricultural University","ror":"https://ror.org/009fw8j44","country_code":"CN","type":"education","lineage":["https://openalex.org/I108160477"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianghao Yuan","raw_affiliation_strings":["College of Information Science and Technology, Hebei Agricultural University, Baoding 071001, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Hebei Agricultural University, Baoding 071001, China","institution_ids":["https://openalex.org/I108160477"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006107034","display_name":"Qingzhi Liu","orcid":"https://orcid.org/0000-0003-2621-9222"},"institutions":[{"id":"https://openalex.org/I913481162","display_name":"Wageningen University & Research","ror":"https://ror.org/04qw24q55","country_code":"NL","type":"education","lineage":["https://openalex.org/I913481162"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Qingzhi Liu","raw_affiliation_strings":["Information Technology Group, Wageningen University & Research, 6708 PB Wageningen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Group, Wageningen University & Research, 6708 PB Wageningen, The Netherlands","institution_ids":["https://openalex.org/I913481162"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100720713","display_name":"Wensheng Wang","orcid":"https://orcid.org/0000-0002-8842-3432"},"institutions":[{"id":"https://openalex.org/I4210093981","display_name":"Agricultural Information Institute","ror":"https://ror.org/00q62zf58","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210093981","https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wensheng Wang","raw_affiliation_strings":["Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081, China","institution_ids":["https://openalex.org/I4210093981","https://openalex.org/I4210138501"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100454191","display_name":"Jie Liu","orcid":"https://orcid.org/0000-0003-1568-8090"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Liu","raw_affiliation_strings":["Institute of Artificial Intelligence, Harbin Institute of Technology, Harbin 150080, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Harbin Institute of Technology, Harbin 150080, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003748150","display_name":"Leifeng Guo","orcid":"https://orcid.org/0000-0002-2447-2905"},"institutions":[{"id":"https://openalex.org/I4210093981","display_name":"Agricultural Information Institute","ror":"https://ror.org/00q62zf58","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210093981","https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]},{"id":"https://openalex.org/I4210138501","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210127390","https://openalex.org/I4210138501","https://openalex.org/I4210151987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leifeng Guo","raw_affiliation_strings":["Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Agricultural Information Institute of Chinese Academy of Agricultural Sciences, Beijing 100081, China","institution_ids":["https://openalex.org/I4210093981","https://openalex.org/I4210138501"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041964625","display_name":"Guozhu Song","orcid":null},"institutions":[{"id":"https://openalex.org/I119868032","display_name":"Shanxi Agricultural University","ror":"https://ror.org/05e9f5362","country_code":"CN","type":"education","lineage":["https://openalex.org/I119868032"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guozhu Song","raw_affiliation_strings":["School of Software, Shanxi Agricultural University, Jinzhong 030801, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Shanxi Agricultural University, Jinzhong 030801, China","institution_ids":["https://openalex.org/I119868032"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5041964625"],"corresponding_institution_ids":["https://openalex.org/I119868032"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":6.2982,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.96804131,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"15","issue":"11","first_page":"2891","last_page":"2891"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/phenology","display_name":"Phenology","score":0.8559849858283997},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6028434038162231},{"id":"https://openalex.org/keywords/agricultural-engineering","display_name":"Agricultural engineering","score":0.5662466883659363},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.49702122807502747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47144851088523865},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.39500516653060913},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.14964225888252258},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10552284121513367},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08628705143928528}],"concepts":[{"id":"https://openalex.org/C51417038","wikidata":"https://www.wikidata.org/wiki/Q272737","display_name":"Phenology","level":2,"score":0.8559849858283997},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6028434038162231},{"id":"https://openalex.org/C88463610","wikidata":"https://www.wikidata.org/wiki/Q194118","display_name":"Agricultural engineering","level":1,"score":0.5662466883659363},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.49702122807502747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47144851088523865},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.39500516653060913},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.14964225888252258},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10552284121513367},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08628705143928528},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/rs15112891","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15112891","pdf_url":"https://www.mdpi.com/2072-4292/15/11/2891/pdf?version=1686015376","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:library.wur.nl:wurpubs/617153","is_oa":true,"landing_page_url":"https://research.wur.nl/en/publications/deep-learning-based-rice-phenological-stage-recognition","pdf_url":"https://edepot.wur.nl/635361","source":{"id":"https://openalex.org/S4210201231","display_name":"Socio-Environmental Systems Modeling","issn_l":"2663-3027","issn":["2663-3027"],"is_oa":true,"is_in_doaj":false,"is_core":true,"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":"ISSN: 2072-4292","raw_type":"Article/Letter to editor"},{"id":"pmh:oai:doaj.org/article:453f212d717d4612b3437a804ba34296","is_oa":true,"landing_page_url":"https://doaj.org/article/453f212d717d4612b3437a804ba34296","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 11, p 2891 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/11/2891/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15112891","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 15; Issue 11; Pages: 2891","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15112891","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15112891","pdf_url":"https://www.mdpi.com/2072-4292/15/11/2891/pdf?version=1686015376","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":[{"score":0.4699999988079071,"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12"}],"awards":[{"id":"https://openalex.org/G3665781417","display_name":null,"funder_award_id":"2021ZD0110901","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5640978975","display_name":null,"funder_award_id":"202103021224173","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6471883036","display_name":null,"funder_award_id":"CAAS-ASTIP-2023-AII","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4379233262.pdf"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1981561767","https://openalex.org/W1991861340","https://openalex.org/W2003905762","https://openalex.org/W2073413648","https://openalex.org/W2085664123","https://openalex.org/W2086459154","https://openalex.org/W2099698780","https://openalex.org/W2146804851","https://openalex.org/W2344866513","https://openalex.org/W2438450043","https://openalex.org/W2501369945","https://openalex.org/W2527777740","https://openalex.org/W2889011003","https://openalex.org/W2901639336","https://openalex.org/W2991068079","https://openalex.org/W3037558530","https://openalex.org/W3042976429","https://openalex.org/W3129469040","https://openalex.org/W3137820239","https://openalex.org/W3139732313","https://openalex.org/W3159540165","https://openalex.org/W4206252895","https://openalex.org/W4225254091","https://openalex.org/W4225681688","https://openalex.org/W4292849098","https://openalex.org/W4293222257","https://openalex.org/W4312139899","https://openalex.org/W4315481311","https://openalex.org/W6727913292","https://openalex.org/W6756729201"],"related_works":["https://openalex.org/W2373524250","https://openalex.org/W4206027277","https://openalex.org/W2388003193","https://openalex.org/W2367450255","https://openalex.org/W2243549226","https://openalex.org/W2184048517","https://openalex.org/W3128824461","https://openalex.org/W2156132268","https://openalex.org/W96071508","https://openalex.org/W2388278526"],"abstract_inverted_index":{"Crop":[0],"phenology":[1,184],"is":[2,70],"an":[3,195],"important":[4],"attribute":[5],"of":[6,15,62,109,114,156,197],"crops,":[7,16],"not":[8],"only":[9],"reflecting":[10],"the":[11,24,110,128,141,174],"growth":[12],"and":[13,33,36,73,116,130,152,170,182],"development":[14],"but":[17],"also":[18],"affecting":[19],"crop":[20,53,206],"yield.":[21],"By":[22],"observing":[23],"phenological":[25,54,92,159,207],"stages,":[26,160],"agricultural":[27,49],"production":[28,50],"losses":[29],"can":[30,38,193],"be":[31,39],"reduced":[32],"corresponding":[34],"systems":[35],"plans":[37],"formulated":[40],"according":[41],"to":[42,76,105,126,144],"their":[43],"changes,":[44],"having":[45],"guiding":[46],"significance":[47],"for":[48,90,205],"activities.":[51],"Traditionally,":[52],"stages":[55],"are":[56],"determined":[57],"mainly":[58],"by":[59,67],"manual":[60],"analysis":[61],"remote":[63],"sensing":[64],"data":[65,77,108,151],"collected":[66],"UAVs,":[68],"which":[69],"time-consuming,":[71],"labor-intensive,":[72],"may":[74],"lead":[75],"loss.":[78],"To":[79],"cope":[80],"with":[81,102,173],"this":[82,84],"problem,":[83],"paper":[85],"proposes":[86],"a":[87,98,118,201],"deep-learning-based":[88],"method":[89,178,192],"rice":[91,115,158],"stage":[93,208],"recognition.":[94,209],"Firstly,":[95],"we":[96,121,137],"use":[97,122,138],"weather":[99],"station":[100],"equipped":[101],"RGB":[103],"cameras":[104],"collect":[106],"image":[107,150],"whole":[111],"life":[112],"cycle":[113],"build":[117],"dataset.":[119],"Secondly,":[120],"object":[123],"detection":[124],"technology":[125],"clean":[127],"dataset":[129],"divide":[131],"it":[132],"into":[133],"six":[134,157],"subsets.":[135],"Finally,":[136],"ResNet-50":[139],"as":[140],"backbone":[142],"network":[143],"extract":[145],"spatial":[146],"feature":[147],"information":[148],"from":[149],"achieve":[153,194],"accurate":[154,183],"recognition":[155],"including":[161],"seedling,":[162],"tillering,":[163],"booting":[164],"jointing,":[165],"heading":[166],"flowering,":[167],"grain":[168],"filling,":[169],"maturity.":[171],"Compared":[172],"existing":[175],"solutions,":[176],"our":[177,191],"guarantees":[179],"long-term,":[180],"continuous,":[181],"monitoring.":[185],"The":[186],"experimental":[187],"results":[188],"show":[189],"that":[190],"accuracy":[196],"around":[198],"87.33%,":[199],"providing":[200],"new":[202],"research":[203],"direction":[204]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}