{"id":"https://openalex.org/W3112613839","doi":"https://doi.org/10.1109/access.2020.3043812","title":"A Hybrid Model Based on Multi-Stage Principal Component Extraction, GRU Network and KELM for Multi-Step Short-Term Wind Speed Forecasting","display_name":"A Hybrid Model Based on Multi-Stage Principal Component Extraction, GRU Network and KELM for Multi-Step Short-Term Wind Speed Forecasting","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3112613839","doi":"https://doi.org/10.1109/access.2020.3043812","mag":"3112613839"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3043812","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3043812","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2020.3043812","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041829404","display_name":"Feng Zou","orcid":"https://orcid.org/0000-0003-2720-839X"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Zou","raw_affiliation_strings":["College of Electrical Engineering and New Energy, China Three Gorges University, Yichang, China","Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, China Three Gorges University, Yichang, China"],"raw_orcid":"https://orcid.org/0000-0003-2720-839X","affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and New Energy, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]},{"raw_affiliation_string":"Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073062193","display_name":"Wenlong Fu","orcid":"https://orcid.org/0000-0003-4084-1085"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenlong Fu","raw_affiliation_strings":["College of Electrical Engineering and New Energy, China Three Gorges University, Yichang, China","Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, China Three Gorges University, Yichang, China"],"raw_orcid":"https://orcid.org/0000-0003-4084-1085","affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and New Energy, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]},{"raw_affiliation_string":"Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010462019","display_name":"Ping Fang","orcid":"https://orcid.org/0000-0003-0037-0522"},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Fang","raw_affiliation_strings":["College of Electrical Engineering and New Energy, China Three Gorges University, Yichang, China","Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, China Three Gorges University, Yichang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and New Energy, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]},{"raw_affiliation_string":"Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082072415","display_name":"Dongzhen Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongzhen Xiong","raw_affiliation_strings":["College of Electrical Engineering and New Energy, China Three Gorges University, Yichang, China","Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, China Three Gorges University, Yichang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and New Energy, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]},{"raw_affiliation_string":"Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110646194","display_name":"Renming Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I161350542","display_name":"China Three Gorges University","ror":"https://ror.org/0419nfc77","country_code":"CN","type":"education","lineage":["https://openalex.org/I161350542"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renming Wang","raw_affiliation_strings":["College of Electrical Engineering and New Energy, China Three Gorges University, Yichang, China","Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, China Three Gorges University, Yichang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and New Energy, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]},{"raw_affiliation_string":"Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, China Three Gorges University, Yichang, China","institution_ids":["https://openalex.org/I161350542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5041829404"],"corresponding_institution_ids":["https://openalex.org/I161350542"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.6643,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.84517873,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"222931","last_page":"222943"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14444","display_name":"Power Systems and Renewable Energy","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2102","display_name":"Energy Engineering and Power Technology"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10680","display_name":"Wind Energy Research and Development","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/principal-component-analysis","display_name":"Principal component analysis","score":0.7495046257972717},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.6701351404190063},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6200470328330994},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.6093935966491699},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6082096099853516},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4757649302482605},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4573168158531189},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4541950821876526},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44465872645378113},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44154906272888184},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43297863006591797},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.430502712726593},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.423453152179718},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27799949049949646},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.21629786491394043},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18394625186920166},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16002631187438965},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.14356708526611328},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.12095609307289124},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.08758890628814697}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7495046257972717},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.6701351404190063},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6200470328330994},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.6093935966491699},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6082096099853516},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4757649302482605},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4573168158531189},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4541950821876526},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44465872645378113},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44154906272888184},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43297863006591797},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.430502712726593},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.423453152179718},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27799949049949646},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.21629786491394043},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18394625186920166},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16002631187438965},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.14356708526611328},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.12095609307289124},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.08758890628814697},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3043812","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3043812","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9e106e87146940349213605555d38e15","is_oa":true,"landing_page_url":"https://doaj.org/article/9e106e87146940349213605555d38e15","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":"IEEE Access, Vol 8, Pp 222931-222943 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3043812","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3043812","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.9100000262260437,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G694729684","display_name":null,"funder_award_id":"51741907","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1615826575","https://openalex.org/W1966499742","https://openalex.org/W1968442252","https://openalex.org/W1977654506","https://openalex.org/W1981047607","https://openalex.org/W1984061847","https://openalex.org/W1984391316","https://openalex.org/W1984478203","https://openalex.org/W1989098521","https://openalex.org/W2006161877","https://openalex.org/W2008687724","https://openalex.org/W2022912953","https://openalex.org/W2024692966","https://openalex.org/W2036681246","https://openalex.org/W2061196949","https://openalex.org/W2072690957","https://openalex.org/W2073004501","https://openalex.org/W2074715647","https://openalex.org/W2090224109","https://openalex.org/W2095731600","https://openalex.org/W2111072639","https://openalex.org/W2125056386","https://openalex.org/W2133426918","https://openalex.org/W2142809749","https://openalex.org/W2280029926","https://openalex.org/W2401688955","https://openalex.org/W2413927587","https://openalex.org/W2468900667","https://openalex.org/W2617244595","https://openalex.org/W2624832571","https://openalex.org/W2729912483","https://openalex.org/W2783204403","https://openalex.org/W2792244305","https://openalex.org/W2796952111","https://openalex.org/W2807186313","https://openalex.org/W2899887821","https://openalex.org/W2924950036","https://openalex.org/W2954586649","https://openalex.org/W2956718877","https://openalex.org/W2984148598","https://openalex.org/W2999618686","https://openalex.org/W3006452984","https://openalex.org/W3043061728","https://openalex.org/W3044436817","https://openalex.org/W3046247825","https://openalex.org/W3087568108","https://openalex.org/W3092375958","https://openalex.org/W6666111420","https://openalex.org/W6751656491"],"related_works":["https://openalex.org/W2379488555","https://openalex.org/W2753886092","https://openalex.org/W2152632846","https://openalex.org/W1992961908","https://openalex.org/W2014683590","https://openalex.org/W3138125914","https://openalex.org/W2359742711","https://openalex.org/W4404440911","https://openalex.org/W2139392257","https://openalex.org/W4285789115"],"abstract_inverted_index":{"Accurate":[0],"wind":[1,14,79,197],"speed":[2,80],"forecasting":[3,133],"exerts":[4],"a":[5,21,83,91,123],"critical":[6],"role":[7],"in":[8,43],"energy":[9],"conversion":[10],"and":[11,35,66,90,98,116,141,146,155,165],"management":[12],"of":[13,18,85,101,143,173,188,216],"power.":[15],"In":[16],"term":[17],"this":[19,44],"purpose,":[20],"hybrid":[22],"model":[23,212],"based":[24],"on":[25],"multi-stage":[26,48],"principal":[27,49,96],"component":[28,50,134,175],"extraction,":[29],"kernel":[30],"extreme":[31],"learning":[32],"machine":[33],"(KELM)":[34],"gated":[36],"recurrent":[37],"unit":[38],"(GRU)":[39],"network":[40,158],"is":[41,73,128],"developed":[42],"paper,":[45],"where":[46],"the":[47,77,95,139,150,163,170,180,186,189,210],"extraction":[51],"combines":[52],"complete":[53],"ensemble":[54],"empirical":[55],"mode":[56,87],"decomposition":[57,115],"with":[58],"adaptive":[59],"noise":[60],"(CEEMDAN),":[61],"singular":[62],"spectrum":[63],"analysis":[64],"(SSA)":[65],"phase":[67],"space":[68],"reconstruction":[69],"(PSR).":[70],"Firstly,":[71],"CEEMDAN":[72,114],"employed":[74],"to":[75,121,130,161,178,201],"decompose":[76],"raw":[78],"data":[81],"into":[82,138],"sequence":[84],"intrinsic":[86],"functions":[88],"(IMFs)":[89],"residual":[92,99,110],"component.":[93,125],"Then":[94],"components":[97,100,111],"all":[102,109],"IMFs":[103],"are":[104,119,159,176,199],"captured":[105],"by":[106,113,136],"SSA.":[107],"Meanwhile,":[108],"obtained":[112,135],"SSA":[117],"processing":[118],"added":[120],"form":[122],"new":[124],"Subsequently,":[126],"PSR":[127],"utilized":[129],"construct":[131],"each":[132,174],"CEEMDAN-SSA":[137],"input":[140],"output":[142],"training":[144],"set":[145,148],"testing":[147],"for":[149],"prediction":[151,171,182,218],"model.":[152],"Later,":[153],"KELM":[154],"GRU":[156],"neural":[157],"conducted":[160],"predict":[162],"high-frequency":[164],"low-frequency":[166],"components,":[167],"respectively.":[168],"Eventually,":[169],"values":[172],"accumulated":[177],"acquire":[179],"final":[181],"result.":[183],"To":[184],"evaluate":[185],"performance":[187],"proposed":[190,211],"model,":[191],"four":[192],"datasets":[193],"from":[194],"Sotavento":[195],"Galicia":[196],"farm":[198],"adopted":[200],"conduct":[202],"experimental":[203,206],"research.":[204],"The":[205],"results":[207],"manifest":[208],"that":[209],"achieves":[213],"higher":[214],"accuracy":[215],"multi-step":[217],"than":[219],"other":[220],"comparative":[221],"models.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
