{"id":"https://openalex.org/W4382560805","doi":"https://doi.org/10.3390/s23136015","title":"Crop Disease Identification by Fusing Multiscale Convolution and Vision Transformer","display_name":"Crop Disease Identification by Fusing Multiscale Convolution and Vision Transformer","publication_year":2023,"publication_date":"2023-06-29","ids":{"openalex":"https://openalex.org/W4382560805","doi":"https://doi.org/10.3390/s23136015","pmid":"https://pubmed.ncbi.nlm.nih.gov/37447864"},"language":"en","primary_location":{"id":"doi:10.3390/s23136015","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23136015","pdf_url":"https://www.mdpi.com/1424-8220/23/13/6015/pdf?version=1688007387","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/13/6015/pdf?version=1688007387","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101411134","display_name":"Dingju Zhu","orcid":"https://orcid.org/0000-0003-2042-0814"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dingju Zhu","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou 510631, China","School of Software, South China Normal University, Guangzhou 510631, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou 510631, China","institution_ids":["https://openalex.org/I187400657"]},{"raw_affiliation_string":"School of Software, South China Normal University, Guangzhou 510631, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004510561","display_name":"Jianbin Tan","orcid":"https://orcid.org/0000-0002-3264-1086"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianbin Tan","raw_affiliation_strings":["School of Computer Science, South China Normal University, Guangzhou 510631, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, South China Normal University, Guangzhou 510631, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100724623","display_name":"Chao Wu","orcid":"https://orcid.org/0009-0006-4650-2542"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Wu","raw_affiliation_strings":["School of Software, South China Normal University, Guangzhou 510631, China"],"affiliations":[{"raw_affiliation_string":"School of Software, South China Normal University, Guangzhou 510631, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031279547","display_name":"Kai Leung Yung","orcid":"https://orcid.org/0000-0001-9091-6140"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"KaiLeung Yung","raw_affiliation_strings":["Department of Industrial and Systems Engineering, Hong Kong Polytechnic University, Hong Kong 999077, China"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, Hong Kong Polytechnic University, Hong Kong 999077, China","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058789440","display_name":"W.H. Ip","orcid":"https://orcid.org/0000-0001-6609-0713"},"institutions":[{"id":"https://openalex.org/I32625721","display_name":"University of Saskatchewan","ror":"https://ror.org/010x8gc63","country_code":"CA","type":"education","lineage":["https://openalex.org/I32625721"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Andrew W. H. Ip","raw_affiliation_strings":["Department of Mechanical Engineering, University of Saskatchewan, Saskatoon, SK M4Y1M7, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Saskatchewan, Saskatoon, SK M4Y1M7, Canada","institution_ids":["https://openalex.org/I32625721"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101411134"],"corresponding_institution_ids":["https://openalex.org/I187400657"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":11.253,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.98188773,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"23","issue":"13","first_page":"6015","last_page":"6015"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10616","display_name":"Smart Agriculture and AI","score":0.9994999766349792,"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/T12660","display_name":"Plant Disease Management Techniques","score":0.9835000038146973,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9739999771118164,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7412588000297546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6863661408424377},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6859962940216064},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5686684846878052},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5658926963806152},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5612056255340576},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.5299057960510254},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4421866834163666},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.437433660030365},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3486100435256958},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10985466837882996}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7412588000297546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6863661408424377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6859962940216064},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5686684846878052},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5658926963806152},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5612056255340576},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.5299057960510254},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4421866834163666},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.437433660030365},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3486100435256958},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10985466837882996},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000072458","descriptor_name":"Orientation, Spatial","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000072458","descriptor_name":"Orientation, Spatial","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000072458","descriptor_name":"Orientation, Spatial","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000383","descriptor_name":"Agriculture","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000383","descriptor_name":"Agriculture","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000383","descriptor_name":"Agriculture","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007887","descriptor_name":"Fabaceae","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007887","descriptor_name":"Fabaceae","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D007887","descriptor_name":"Fabaceae","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011211","descriptor_name":"Electric Power Supplies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011211","descriptor_name":"Electric Power Supplies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011211","descriptor_name":"Electric Power Supplies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.3390/s23136015","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23136015","pdf_url":"https://www.mdpi.com/1424-8220/23/13/6015/pdf?version=1688007387","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:37447864","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37447864","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:ira.lib.polyu.edu.hk:10397/108680","is_oa":true,"landing_page_url":"http://hdl.handle.net/10397/108680","pdf_url":"http://ira.lib.polyu.edu.hk/bitstream/10397/108680/1/sensors-23-06015.pdf","source":{"id":"https://openalex.org/S4306400205","display_name":"PolyU Institutional Research Archive (Hong Kong Polytechnic University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I14243506","host_organization_name":"Hong Kong Polytechnic University","host_organization_lineage":["https://openalex.org/I14243506"],"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":null,"raw_type":"Journal/Magazine Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:10346931","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10346931","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10346931/pdf/sensors-23-06015.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:7e2c2393b5f2456b8b91c5abf1277741","is_oa":true,"landing_page_url":"https://doaj.org/article/7e2c2393b5f2456b8b91c5abf1277741","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":"Sensors, Vol 23, Iss 13, p 6015 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/13/6015/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23136015","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":"Sensors; Volume 23; Issue 13; Pages: 6015","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23136015","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23136015","pdf_url":"https://www.mdpi.com/1424-8220/23/13/6015/pdf?version=1688007387","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4382560805.pdf"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W2004882387","https://openalex.org/W2097117768","https://openalex.org/W2322112093","https://openalex.org/W2473156356","https://openalex.org/W2618530766","https://openalex.org/W2745384027","https://openalex.org/W2789255992","https://openalex.org/W2805772477","https://openalex.org/W2953914369","https://openalex.org/W2970576551","https://openalex.org/W2997969210","https://openalex.org/W3008768000","https://openalex.org/W3022836752","https://openalex.org/W3039031522","https://openalex.org/W3110664047","https://openalex.org/W3129142304","https://openalex.org/W3133579070","https://openalex.org/W3167958641","https://openalex.org/W3168997536","https://openalex.org/W3172509117","https://openalex.org/W3174983065","https://openalex.org/W3180329276","https://openalex.org/W3199188637","https://openalex.org/W4200086463","https://openalex.org/W4280555287","https://openalex.org/W4281844050","https://openalex.org/W4283819695","https://openalex.org/W4288775754","https://openalex.org/W4292209601","https://openalex.org/W4312572853","https://openalex.org/W4312654257","https://openalex.org/W4313275642","https://openalex.org/W4385245566","https://openalex.org/W6739901393","https://openalex.org/W6776798986","https://openalex.org/W6838397366","https://openalex.org/W7015476958"],"related_works":["https://openalex.org/W2357124094","https://openalex.org/W2387399993","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W2964954556","https://openalex.org/W3029198973","https://openalex.org/W3019910406"],"abstract_inverted_index":{"With":[0],"the":[1,53,80,93,102,108,112,115,132,139,147,151,173],"development":[2],"of":[3,55,95,107,128,136,162],"smart":[4],"agriculture,":[5],"deep":[6,105],"learning":[7],"is":[8,44],"playing":[9],"an":[10],"increasingly":[11],"important":[12],"role":[13],"in":[14,39,57,65,138,146,179,193,201],"crop":[15,20,140,194],"disease":[16,21,60,141,195,206],"recognition.":[17,207],"The":[18,77,182],"existing":[19],"recognition":[22,160,191,196,203],"models":[23,35],"are":[24],"mainly":[25],"based":[26],"on":[27],"convolutional":[28],"neural":[29],"networks":[30],"(CNN).":[31],"Although":[32],"traditional":[33],"CNN":[34,56,171],"have":[36],"excellent":[37,199],"performance":[38,178],"modeling":[40],"local":[41,59,96],"relationships,":[42],"it":[43],"difficult":[45],"to":[46,70,119,123],"extract":[47],"global":[48,67,98],"features.":[49],"This":[50],"study":[51],"combines":[52,85],"advantages":[54],"extracting":[58],"information":[61],"and":[62,88,91,97,104,134,150,156,164,197,204],"vision":[63],"transformer":[64],"obtaining":[66],"receptive":[68],"fields":[69],"design":[71],"a":[72,125],"hybrid":[73],"model":[74,78,113,175],"called":[75],"MSCVT.":[76],"incorporates":[79],"multiscale":[81,86],"self-attention":[82,89],"module,":[83],"which":[84],"convolution":[87,122],"mechanisms":[90],"enables":[92],"fusion":[94],"features":[99],"at":[100],"both":[101,180],"shallow":[103],"levels":[106],"model.":[109],"In":[110,167],"addition,":[111],"uses":[114],"inverted":[116],"residual":[117],"block":[118],"replace":[120],"normal":[121],"maintain":[124],"low":[126],"number":[127],"parameters.":[129],"To":[130],"verify":[131],"validity":[133],"adaptability":[135,200],"MSCVT":[137,187],"dataset,":[142,155],"experiments":[143],"were":[144],"conducted":[145],"PlantVillage":[148],"dataset":[149],"Apple":[152],"Leaf":[153],"Pathology":[154],"obtained":[157],"results":[158,184],"with":[159,169],"accuracies":[161],"99.86%":[163],"97.50%,":[165],"respectively.":[166],"comparison":[168],"other":[170],"models,":[172],"proposed":[174],"achieved":[176],"advanced":[177],"cases.":[181],"experimental":[183],"show":[185],"that":[186],"can":[188],"obtain":[189],"high":[190],"accuracy":[192],"shows":[198],"multidisease":[202],"small-scale":[205]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
