{"id":"https://openalex.org/W4382236914","doi":"https://doi.org/10.3390/rs15102500","title":"Economic Fruit Forest Classification Based on Improved U-Net Model in UAV Multispectral Imagery","display_name":"Economic Fruit Forest Classification Based on Improved U-Net Model in UAV Multispectral Imagery","publication_year":2023,"publication_date":"2023-05-10","ids":{"openalex":"https://openalex.org/W4382236914","doi":"https://doi.org/10.3390/rs15102500"},"language":"en","primary_location":{"id":"doi:10.3390/rs15102500","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15102500","pdf_url":"https://www.mdpi.com/2072-4292/15/10/2500/pdf?version=1683689354","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/2072-4292/15/10/2500/pdf?version=1683689354","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101783503","display_name":"Chunxiao Wu","orcid":"https://orcid.org/0009-0005-2586-8986"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunxiao Wu","raw_affiliation_strings":["Department of Geographic Information Engineering, College of Land Science and Technology, China Agricultural University, No. 2 West Old Summer Palace Road, Haidian District, Beijing 100193, China","Key Laboratory for Agricultural Land Quality Monitoring and Control, Ministry of Natural Resources, Beijing 100193, China"],"affiliations":[{"raw_affiliation_string":"Department of Geographic Information Engineering, College of Land Science and Technology, China Agricultural University, No. 2 West Old Summer Palace Road, Haidian District, Beijing 100193, China","institution_ids":["https://openalex.org/I52158045"]},{"raw_affiliation_string":"Key Laboratory for Agricultural Land Quality Monitoring and Control, Ministry of Natural Resources, Beijing 100193, China","institution_ids":["https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100724846","display_name":"Wei Jia","orcid":"https://orcid.org/0000-0001-6209-2279"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Jia","raw_affiliation_strings":["Department of Geographic Information Engineering, College of Land Science and Technology, China Agricultural University, No. 2 West Old Summer Palace Road, Haidian District, Beijing 100193, China","Key Laboratory for Agricultural Land Quality Monitoring and Control, Ministry of Natural Resources, Beijing 100193, China"],"affiliations":[{"raw_affiliation_string":"Department of Geographic Information Engineering, College of Land Science and Technology, China Agricultural University, No. 2 West Old Summer Palace Road, Haidian District, Beijing 100193, China","institution_ids":["https://openalex.org/I52158045"]},{"raw_affiliation_string":"Key Laboratory for Agricultural Land Quality Monitoring and Control, Ministry of Natural Resources, Beijing 100193, China","institution_ids":["https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106406865","display_name":"Jianyu Yang","orcid":"https://orcid.org/0009-0002-8660-8254"},"institutions":[{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]},{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianyu Yang","raw_affiliation_strings":["Department of Geographic Information Engineering, College of Land Science and Technology, China Agricultural University, No. 2 West Old Summer Palace Road, Haidian District, Beijing 100193, China","Key Laboratory for Agricultural Land Quality Monitoring and Control, Ministry of Natural Resources, Beijing 100193, China"],"affiliations":[{"raw_affiliation_string":"Department of Geographic Information Engineering, College of Land Science and Technology, China Agricultural University, No. 2 West Old Summer Palace Road, Haidian District, Beijing 100193, China","institution_ids":["https://openalex.org/I52158045"]},{"raw_affiliation_string":"Key Laboratory for Agricultural Land Quality Monitoring and Control, Ministry of Natural Resources, Beijing 100193, China","institution_ids":["https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063675432","display_name":"Tingting Zhang","orcid":"https://orcid.org/0000-0001-6459-3966"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Zhang","raw_affiliation_strings":["Department of Geographic Information Engineering, College of Land Science and Technology, China Agricultural University, No. 2 West Old Summer Palace Road, Haidian District, Beijing 100193, China","Key Laboratory for Agricultural Land Quality Monitoring and Control, Ministry of Natural Resources, Beijing 100193, China"],"affiliations":[{"raw_affiliation_string":"Department of Geographic Information Engineering, College of Land Science and Technology, China Agricultural University, No. 2 West Old Summer Palace Road, Haidian District, Beijing 100193, China","institution_ids":["https://openalex.org/I52158045"]},{"raw_affiliation_string":"Key Laboratory for Agricultural Land Quality Monitoring and Control, Ministry of Natural Resources, Beijing 100193, China","institution_ids":["https://openalex.org/I211433327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102534523","display_name":"Anjin Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anjin Dai","raw_affiliation_strings":["Department of Geographic Information Engineering, College of Land Science and Technology, China Agricultural University, No. 2 West Old Summer Palace Road, Haidian District, Beijing 100193, China","Key Laboratory for Agricultural Land Quality Monitoring and Control, Ministry of Natural Resources, Beijing 100193, China"],"affiliations":[{"raw_affiliation_string":"Department of Geographic Information Engineering, College of Land Science and Technology, China Agricultural University, No. 2 West Old Summer Palace Road, Haidian District, Beijing 100193, China","institution_ids":["https://openalex.org/I52158045"]},{"raw_affiliation_string":"Key Laboratory for Agricultural Land Quality Monitoring and Control, Ministry of Natural Resources, Beijing 100193, China","institution_ids":["https://openalex.org/I211433327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038904877","display_name":"Han Zhou","orcid":"https://orcid.org/0000-0002-2250-7908"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I52158045","display_name":"China Agricultural University","ror":"https://ror.org/04v3ywz14","country_code":"CN","type":"education","lineage":["https://openalex.org/I52158045"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Zhou","raw_affiliation_strings":["Department of Geographic Information Engineering, College of Land Science and Technology, China Agricultural University, No. 2 West Old Summer Palace Road, Haidian District, Beijing 100193, China","Key Laboratory for Agricultural Land Quality Monitoring and Control, Ministry of Natural Resources, Beijing 100193, China"],"affiliations":[{"raw_affiliation_string":"Department of Geographic Information Engineering, College of Land Science and Technology, China Agricultural University, No. 2 West Old Summer Palace Road, Haidian District, Beijing 100193, China","institution_ids":["https://openalex.org/I52158045"]},{"raw_affiliation_string":"Key Laboratory for Agricultural Land Quality Monitoring and Control, Ministry of Natural Resources, Beijing 100193, China","institution_ids":["https://openalex.org/I211433327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5106406865"],"corresponding_institution_ids":["https://openalex.org/I211433327","https://openalex.org/I52158045"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.0086,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.8511239,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"15","issue":"10","first_page":"2500","last_page":"2500"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.998199999332428,"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"}},"topics":[{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.998199999332428,"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"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9975000023841858,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5280992388725281},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.5164794921875},{"id":"https://openalex.org/keywords/cohens-kappa","display_name":"Cohen's kappa","score":0.4929311275482178},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.48908430337905884},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4114408493041992},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.37431955337524414},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3147163689136505},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.29220718145370483},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.22873222827911377}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5280992388725281},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.5164794921875},{"id":"https://openalex.org/C163864269","wikidata":"https://www.wikidata.org/wiki/Q1107106","display_name":"Cohen's kappa","level":2,"score":0.4929311275482178},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.48908430337905884},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4114408493041992},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.37431955337524414},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3147163689136505},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.29220718145370483},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.22873222827911377}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15102500","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15102500","pdf_url":"https://www.mdpi.com/2072-4292/15/10/2500/pdf?version=1683689354","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:22df451b4c304c3497025d62ddf66e0f","is_oa":true,"landing_page_url":"https://doaj.org/article/22df451b4c304c3497025d62ddf66e0f","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 15, Iss 10, p 2500 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/10/2500/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15102500","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 10; Pages: 2500","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15102500","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15102500","pdf_url":"https://www.mdpi.com/2072-4292/15/10/2500/pdf?version=1683689354","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":[{"display_name":"Zero hunger","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/2"}],"awards":[{"id":"https://openalex.org/G7492125530","display_name":null,"funder_award_id":"2022YFB3903504","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/W4382236914.pdf"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W2044252996","https://openalex.org/W2076510829","https://openalex.org/W2097117768","https://openalex.org/W2122348296","https://openalex.org/W2191792034","https://openalex.org/W2591466624","https://openalex.org/W2801619178","https://openalex.org/W2807039230","https://openalex.org/W2809869465","https://openalex.org/W2890833618","https://openalex.org/W2891734316","https://openalex.org/W2907663452","https://openalex.org/W2912822096","https://openalex.org/W2963420686","https://openalex.org/W2965749431","https://openalex.org/W2993464084","https://openalex.org/W2996813073","https://openalex.org/W3009017987","https://openalex.org/W3010846872","https://openalex.org/W3011652789","https://openalex.org/W3012400249","https://openalex.org/W3013471216","https://openalex.org/W3019180681","https://openalex.org/W3025050498","https://openalex.org/W3026381557","https://openalex.org/W3088154325","https://openalex.org/W3094309005","https://openalex.org/W3095293677","https://openalex.org/W3097853396","https://openalex.org/W3110414814","https://openalex.org/W3110829070","https://openalex.org/W3131548392","https://openalex.org/W3133368940","https://openalex.org/W3143229466","https://openalex.org/W3144503735","https://openalex.org/W3164623117","https://openalex.org/W3175017445","https://openalex.org/W3182315975","https://openalex.org/W3183898570","https://openalex.org/W3187589338","https://openalex.org/W3203369691","https://openalex.org/W3217721963","https://openalex.org/W4210247145","https://openalex.org/W4210454252","https://openalex.org/W4214582355","https://openalex.org/W4220676290","https://openalex.org/W4220868879","https://openalex.org/W4221010148","https://openalex.org/W4280496735","https://openalex.org/W4283447508","https://openalex.org/W4285229514","https://openalex.org/W4288081131","https://openalex.org/W4289516325","https://openalex.org/W4289524775","https://openalex.org/W4291710868","https://openalex.org/W4293027888","https://openalex.org/W4293149953","https://openalex.org/W4295024853","https://openalex.org/W4361199083","https://openalex.org/W6790139290","https://openalex.org/W6809941024"],"related_works":["https://openalex.org/W4318664220","https://openalex.org/W2771047279","https://openalex.org/W4388409104","https://openalex.org/W1544811710","https://openalex.org/W2124951708","https://openalex.org/W172072032","https://openalex.org/W2006066416","https://openalex.org/W3157073418","https://openalex.org/W2039041387","https://openalex.org/W2399531471"],"abstract_inverted_index":{"Economic":[0],"fruit":[1,27,45,54,74,87,175,188],"forest":[2,55,176,189],"is":[3,33],"an":[4,100],"important":[5],"part":[6],"of":[7,25,34,44,51,64,72,85,89,107,119,157,165,174],"Chinese":[8],"agriculture":[9],"with":[10],"high":[11],"economic":[12,26,53,73,86],"value":[13],"and":[14,42,47,83,92,98,114,129,136,178],"ecological":[15],"benefits.":[16],"Using":[17],"UAV":[18],"multi-spectral":[19,60],"images":[20,63],"to":[21],"research":[22,185],"the":[23,40,48,59,81,108,140,148,154,158,163,184],"classification":[24,82,172],"forests":[28,46,88],"based":[29],"on":[30,58,80,186],"deep":[31],"learning":[32,155],"great":[35],"significance":[36],"for":[37,183],"accurately":[38],"understanding":[39],"distribution":[41],"scale":[43],"status":[49],"quo":[50],"national":[52],"resources.":[56],"Based":[57],"remote":[61],"sensing":[62],"UAV,":[65],"this":[66],"paper":[67],"constructed":[68],"semantic":[69,95],"segmentation":[70,96],"data":[71],"forests,":[75],"conducted":[76],"a":[77,170,180],"comparative":[78],"study":[79],"identification":[84],"FCN,":[90],"SegNet,":[91],"U-Net":[93,142],"classic":[94],"models,":[97],"proposed":[99],"improved":[101,149],"ISDU-Net":[102,109,150],"model.":[103,143],"The":[104,144],"recognition":[105],"accuracies":[106],"were":[110,133],"87.73%,":[111],"70.68%,":[112],"78.69%,":[113],"0.84,":[115],"respectively,":[116],"in":[117,162],"terms":[118],"pixel":[120],"accuracy,":[121],"average":[122],"intersection":[123,127],"ratio,":[124,128],"frequency":[125],"weight":[126],"Kappa":[130],"coefficient,":[131],"which":[132],"3.19%,":[134],"8.90%,":[135],"4.51%":[137],"higher":[138,171],"than":[139],"original":[141],"results":[145],"showed":[146],"that":[147],"could":[151],"effectively":[152],"improve":[153],"ability":[156],"model,":[159],"perform":[160],"better":[161],"prediction":[164],"short":[166],"sample":[167],"categories,":[168],"obtain":[169],"accuracy":[173],"crops,":[177],"provide":[179],"new":[181],"idea":[182],"accurate":[187],"identification.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":2}],"updated_date":"2026-02-28T09:26:25.869077","created_date":"2025-10-10T00:00:00"}