{"id":"https://openalex.org/W4399208993","doi":"https://doi.org/10.3390/rs16111995","title":"Time Phase Selection and Accuracy Analysis for Predicting Winter Wheat Yield Based on Time Series Vegetation Index","display_name":"Time Phase Selection and Accuracy Analysis for Predicting Winter Wheat Yield Based on Time Series Vegetation Index","publication_year":2024,"publication_date":"2024-05-31","ids":{"openalex":"https://openalex.org/W4399208993","doi":"https://doi.org/10.3390/rs16111995"},"language":"en","primary_location":{"id":"doi:10.3390/rs16111995","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16111995","pdf_url":"https://www.mdpi.com/2072-4292/16/11/1995/pdf?version=1717168614","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/2072-4292/16/11/1995/pdf?version=1717168614","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100689406","display_name":"Ziwen Wang","orcid":"https://orcid.org/0000-0001-9798-7021"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziwen Wang","raw_affiliation_strings":["College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China"],"affiliations":[{"raw_affiliation_string":"College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039023101","display_name":"Chuanmao Zhang","orcid":"https://orcid.org/0000-0003-1359-6475"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanmao Zhang","raw_affiliation_strings":["College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China"],"affiliations":[{"raw_affiliation_string":"College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108707104","display_name":"Lixin Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lixin Gao","raw_affiliation_strings":["College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China"],"affiliations":[{"raw_affiliation_string":"College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102144416","display_name":"Chengzhi Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengzhi Fan","raw_affiliation_strings":["College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China"],"affiliations":[{"raw_affiliation_string":"College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103221738","display_name":"Xuexin Xu","orcid":"https://orcid.org/0000-0003-0732-1782"},"institutions":[{"id":"https://openalex.org/I146773158","display_name":"Qingdao Agricultural University","ror":"https://ror.org/051qwcj72","country_code":"CN","type":"education","lineage":["https://openalex.org/I146773158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuexin Xu","raw_affiliation_strings":["College of Agronomy, Qingdao Agricultural University, Qingdao 266590, China"],"affiliations":[{"raw_affiliation_string":"College of Agronomy, Qingdao Agricultural University, Qingdao 266590, China","institution_ids":["https://openalex.org/I146773158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051067295","display_name":"Fangzhao Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fangzhao Zhang","raw_affiliation_strings":["College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China"],"affiliations":[{"raw_affiliation_string":"College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100978164","display_name":"Yiming Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090369","display_name":"Shandong Geological Sciences Institute","ror":"https://ror.org/00av6fw44","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090369"]},{"id":"https://openalex.org/I4210141685","display_name":"Nanjing Surveying and Mapping Research Institute (China)","ror":"https://ror.org/042t78q04","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210141685"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiming Zhou","raw_affiliation_strings":["Shandong Institute of Geological Surveying and Mapping, Jinan 250199, China","Shandong Institute of Geological Surveying and Mapping, Jinan 250000, China"],"affiliations":[{"raw_affiliation_string":"Shandong Institute of Geological Surveying and Mapping, Jinan 250199, China","institution_ids":["https://openalex.org/I4210090369","https://openalex.org/I4210141685"]},{"raw_affiliation_string":"Shandong Institute of Geological Surveying and Mapping, Jinan 250000, China","institution_ids":["https://openalex.org/I4210090369"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113235062","display_name":"Fangpeng Niu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fangpeng Niu","raw_affiliation_strings":["Mingji Town Agricultural Comprehensive Service Center, Binzhou 256216, China"],"affiliations":[{"raw_affiliation_string":"Mingji Town Agricultural Comprehensive Service Center, Binzhou 256216, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017381482","display_name":"Zhenhai Li","orcid":"https://orcid.org/0000-0001-9878-3274"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenhai Li","raw_affiliation_strings":["College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China"],"affiliations":[{"raw_affiliation_string":"College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China","institution_ids":["https://openalex.org/I80143920"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5017381482"],"corresponding_institution_ids":["https://openalex.org/I80143920"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.8028,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.83096342,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"16","issue":"11","first_page":"1995","last_page":"1995"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14157","display_name":"Environmental and Agricultural Sciences","score":0.8921999931335449,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/T14157","display_name":"Environmental and Agricultural Sciences","score":0.8921999931335449,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.8554999828338623,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5661640167236328},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5531901717185974},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5214535593986511},{"id":"https://openalex.org/keywords/yield","display_name":"Yield (engineering)","score":0.5028709769248962},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.44770386815071106},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.4382704794406891},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.31515875458717346},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18135777115821838},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.1398160755634308},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11432543396949768},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.055862635374069214}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5661640167236328},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5531901717185974},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5214535593986511},{"id":"https://openalex.org/C134121241","wikidata":"https://www.wikidata.org/wiki/Q899301","display_name":"Yield (engineering)","level":2,"score":0.5028709769248962},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.44770386815071106},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4382704794406891},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.31515875458717346},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18135777115821838},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.1398160755634308},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11432543396949768},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.055862635374069214},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs16111995","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16111995","pdf_url":"https://www.mdpi.com/2072-4292/16/11/1995/pdf?version=1717168614","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:a698afd404724a42a133d459f2820b5c","is_oa":true,"landing_page_url":"https://doaj.org/article/a698afd404724a42a133d459f2820b5c","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 16, Iss 11, p 1995 (2024)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/16/11/1995/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs16111995","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","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs16111995","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs16111995","pdf_url":"https://www.mdpi.com/2072-4292/16/11/1995/pdf?version=1717168614","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":[{"id":"https://metadata.un.org/sdg/2","score":0.75,"display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4399208993.pdf"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W1964217023","https://openalex.org/W1967135612","https://openalex.org/W1967443364","https://openalex.org/W2000102737","https://openalex.org/W2004518048","https://openalex.org/W2004675407","https://openalex.org/W2039174416","https://openalex.org/W2059488281","https://openalex.org/W2080985913","https://openalex.org/W2107610412","https://openalex.org/W2113410727","https://openalex.org/W2114891756","https://openalex.org/W2147809505","https://openalex.org/W2159568833","https://openalex.org/W2252922634","https://openalex.org/W2317582304","https://openalex.org/W2337031030","https://openalex.org/W2416782259","https://openalex.org/W2586216468","https://openalex.org/W2646675373","https://openalex.org/W2734925054","https://openalex.org/W2754887531","https://openalex.org/W2885770726","https://openalex.org/W2890697635","https://openalex.org/W2904875053","https://openalex.org/W2911964244","https://openalex.org/W2937610193","https://openalex.org/W2981110544","https://openalex.org/W2982585278","https://openalex.org/W2989983865","https://openalex.org/W2997133053","https://openalex.org/W2999658315","https://openalex.org/W3010621365","https://openalex.org/W3012717404","https://openalex.org/W3029014910","https://openalex.org/W3036855490","https://openalex.org/W3048247926","https://openalex.org/W3081407997","https://openalex.org/W3112881537","https://openalex.org/W3119013470","https://openalex.org/W3119389966","https://openalex.org/W3130461578","https://openalex.org/W3146201181","https://openalex.org/W3161294357","https://openalex.org/W3169469595","https://openalex.org/W3173491629","https://openalex.org/W3205952485","https://openalex.org/W3216140968","https://openalex.org/W4200032296","https://openalex.org/W4210711118","https://openalex.org/W4223600081","https://openalex.org/W4224292613","https://openalex.org/W4224318735","https://openalex.org/W4281632229","https://openalex.org/W4289731459","https://openalex.org/W4313443393","https://openalex.org/W4317433549","https://openalex.org/W4320890277","https://openalex.org/W4386390084","https://openalex.org/W4386844030","https://openalex.org/W4388600963","https://openalex.org/W4391127344","https://openalex.org/W6636950212","https://openalex.org/W6807999091","https://openalex.org/W6838628961"],"related_works":["https://openalex.org/W1919101720","https://openalex.org/W2386800167","https://openalex.org/W4205762803","https://openalex.org/W2384315363","https://openalex.org/W4390822878","https://openalex.org/W2535856026","https://openalex.org/W1990212788","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Winter":[0],"wheat":[1,28,171,289],"is":[2],"one":[3,11],"of":[4,12,23,26,35,44,88,91,98,114,176,225,230,236,250,261,276],"the":[5,13,24,33,80,89,96,111,126,149,153,157,161,169,177,190,204,214,248,264,271,280],"major":[6],"cereal":[7,16],"crops":[8,17],"globally":[9],"and":[10,38,138,182,219,227,233,257,274],"top":[14],"three":[15],"in":[18,32,195,244],"China.":[19],"The":[20,42,145],"precise":[21],"forecasting":[22],"yield":[25,51,99,122,172,192,282,290],"winter":[27,170,288],"holds":[29],"significant":[30,242],"importance":[31],"realms":[34],"agricultural":[36],"management":[37],"ensuring":[39],"food":[40],"security.":[41],"use":[43],"multi-temporal":[45],"remote":[46,63],"sensing":[47,64],"data":[48,65,78],"for":[49,279,287],"crop":[50],"prediction":[52,100,123],"has":[53,101],"gained":[54],"increasing":[55],"attention.":[56],"Previous":[57],"research":[58],"primarily":[59],"focused":[60],"on":[61,95],"utilizing":[62,152],"from":[66,155],"individual":[67],"or":[68,76],"a":[69,85,121,140,241,258],"few":[70],"growth":[71,82,115,133,162,201,251,277],"stages":[72,116,134,211,252,278],"as":[73,135,164],"input":[74,136,165],"parameters":[75,166],"integrated":[77],"across":[79],"entire":[81],"period.":[83],"However,":[84],"detailed":[86],"analysis":[87],"impact":[90],"different":[92,132,200],"temporal":[93,112,158,207],"combinations":[94,159],"accuracy":[97,246],"not":[102],"been":[103],"extensively":[104],"reported.":[105],"In":[106],"this":[107,196],"study,":[108],"we":[109],"optimized":[110],"sequence":[113],"using":[117],"interpolation":[118],"methods,":[119],"constructed":[120],"model":[124,151],"incorporating":[125],"enhanced":[127],"vegetation":[128],"index":[129],"(EVI)":[130],"at":[131],"parameters,":[137],"employed":[139],"random":[141],"forest":[142],"(RF)":[143],"algorithm.":[144],"results":[146],"indicated":[147],"that":[148],"RF":[150],"EVI":[154],"all":[156],"throughout":[160],"period":[163],"accurately":[167],"predicted":[168],"with":[173,198,222],"an":[174,183,223,228,234],"R2":[175,224],"calibrated":[178],"dataset":[179],"exceeding":[180],"0.58":[181],"RMSE":[184,229],"less":[185],"than":[186,255],"1284":[187],"kg/ha.":[188],"Among":[189],"1023":[191],"models":[193],"tested":[194],"study":[197],"ten":[199],"stage":[202],"combinations,":[203],"most":[205],"accurate":[206],"combination":[208,275],"comprised":[209],"five":[210,256],"corresponding":[212],"to":[213],"regreening,":[215],"erecting,":[216],"jointing,":[217],"heading,":[218],"filling":[220],"stages,":[221],"0.81":[226],"1250":[231],"kg/ha":[232],"NRMSE":[235],"15%.":[237],"We":[238],"also":[239],"observed":[240],"decrease":[243],"estimation":[245],"when":[247,263],"number":[249,265,273],"was":[253],"fewer":[254],"certain":[259],"degree":[260],"decline":[262],"exceeded":[266],"five.":[267],"Our":[268],"findings":[269],"confirmed":[270],"optimal":[272],"best":[281],"prediction,":[283],"providing":[284],"substantial":[285],"insights":[286],"forecasting.":[291]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
