{"id":"https://openalex.org/W4313167352","doi":"https://doi.org/10.1109/access.2022.3224446","title":"Efficient and Accurate Damage Detector for Wind Turbine Blade Images","display_name":"Efficient and Accurate Damage Detector for Wind Turbine Blade Images","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4313167352","doi":"https://doi.org/10.1109/access.2022.3224446"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3224446","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3224446","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09963556.pdf","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://ieeexplore.ieee.org/ielx7/6287639/6514899/09963556.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101820249","display_name":"Liang Lv","orcid":"https://orcid.org/0000-0003-4083-394X"},"institutions":[{"id":"https://openalex.org/I4210101009","display_name":"Huaneng Clean Energy Research Institute","ror":"https://ror.org/00y3jnz30","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210101009"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liang Lv","raw_affiliation_strings":["China Huaneng Clean Energy Research Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Huaneng Clean Energy Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210101009"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012810231","display_name":"Zhongyuan Yao","orcid":"https://orcid.org/0000-0002-6902-7215"},"institutions":[{"id":"https://openalex.org/I4210165075","display_name":"National Power (United Kingdom)","ror":"https://ror.org/05rnt2n49","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210165075"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhongyuan Yao","raw_affiliation_strings":["Huaneng Yancheng Dafeng New Energy Power Generation Company Ltd., Nanjing, China","Huaneng Yancheng Dafeng New Energy Power Generation Co. LTD, Nanjing, Jiangsu Province, China"],"affiliations":[{"raw_affiliation_string":"Huaneng Yancheng Dafeng New Energy Power Generation Company Ltd., Nanjing, China","institution_ids":["https://openalex.org/I4210165075"]},{"raw_affiliation_string":"Huaneng Yancheng Dafeng New Energy Power Generation Co. LTD, Nanjing, Jiangsu Province, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026856586","display_name":"Enming Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101009","display_name":"Huaneng Clean Energy Research Institute","ror":"https://ror.org/00y3jnz30","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210101009"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enming Wang","raw_affiliation_strings":["China Huaneng Clean Energy Research Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Huaneng Clean Energy Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210101009"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025244023","display_name":"Xin Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101009","display_name":"Huaneng Clean Energy Research Institute","ror":"https://ror.org/00y3jnz30","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210101009"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Ren","raw_affiliation_strings":["China Huaneng Clean Energy Research Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Huaneng Clean Energy Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210101009"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002729731","display_name":"Ran Pang","orcid":"https://orcid.org/0000-0001-7978-7325"},"institutions":[{"id":"https://openalex.org/I4210165075","display_name":"National Power (United Kingdom)","ror":"https://ror.org/05rnt2n49","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210165075"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ran Pang","raw_affiliation_strings":["Huaneng Yancheng Dafeng New Energy Power Generation Company Ltd., Nanjing, China","Huaneng Yancheng Dafeng New Energy Power Generation Co. LTD, Nanjing, Jiangsu Province, China"],"affiliations":[{"raw_affiliation_string":"Huaneng Yancheng Dafeng New Energy Power Generation Company Ltd., Nanjing, China","institution_ids":["https://openalex.org/I4210165075"]},{"raw_affiliation_string":"Huaneng Yancheng Dafeng New Energy Power Generation Co. LTD, Nanjing, Jiangsu Province, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100403969","display_name":"Hua Wang","orcid":"https://orcid.org/0000-0002-8465-0996"},"institutions":[{"id":"https://openalex.org/I4210101009","display_name":"Huaneng Clean Energy Research Institute","ror":"https://ror.org/00y3jnz30","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210101009"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Wang","raw_affiliation_strings":["China Huaneng Clean Energy Research Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Huaneng Clean Energy Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210101009"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036488225","display_name":"Yu Zhang","orcid":"https://orcid.org/0000-0001-6638-6442"},"institutions":[{"id":"https://openalex.org/I4210165075","display_name":"National Power (United Kingdom)","ror":"https://ror.org/05rnt2n49","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210165075"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yu Zhang","raw_affiliation_strings":["Huaneng Yancheng Dafeng New Energy Power Generation Company Ltd., Nanjing, China","Huaneng Yancheng Dafeng New Energy Power Generation Co. LTD, Nanjing, Jiangsu Province, China"],"affiliations":[{"raw_affiliation_string":"Huaneng Yancheng Dafeng New Energy Power Generation Company Ltd., Nanjing, China","institution_ids":["https://openalex.org/I4210165075"]},{"raw_affiliation_string":"Huaneng Yancheng Dafeng New Energy Power Generation Co. LTD, Nanjing, Jiangsu Province, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001396547","display_name":"Hao Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210101009","display_name":"Huaneng Clean Energy Research Institute","ror":"https://ror.org/00y3jnz30","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210101009"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wu","raw_affiliation_strings":["China Huaneng Clean Energy Research Institute, Beijing, China"],"affiliations":[{"raw_affiliation_string":"China Huaneng Clean Energy Research Institute, Beijing, China","institution_ids":["https://openalex.org/I4210101009"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5101820249"],"corresponding_institution_ids":["https://openalex.org/I4210101009"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.9358,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.87693859,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"10","issue":null,"first_page":"123378","last_page":"123386"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/robustness","display_name":"Robustness (evolution)","score":0.7375532388687134},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7308340668678284},{"id":"https://openalex.org/keywords/wind-power","display_name":"Wind power","score":0.6283285617828369},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5735552310943604},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5731964707374573},{"id":"https://openalex.org/keywords/turbine","display_name":"Turbine","score":0.5690162777900696},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5397328734397888},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4733576774597168},{"id":"https://openalex.org/keywords/turbine-blade","display_name":"Turbine blade","score":0.47190433740615845},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4441063404083252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4239654541015625},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34929513931274414},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34681540727615356},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1554507315158844},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.09951013326644897},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07896208763122559}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7375532388687134},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7308340668678284},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.6283285617828369},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5735552310943604},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5731964707374573},{"id":"https://openalex.org/C2778449969","wikidata":"https://www.wikidata.org/wiki/Q130760","display_name":"Turbine","level":2,"score":0.5690162777900696},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5397328734397888},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4733576774597168},{"id":"https://openalex.org/C20381859","wikidata":"https://www.wikidata.org/wiki/Q829511","display_name":"Turbine blade","level":3,"score":0.47190433740615845},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4441063404083252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4239654541015625},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34929513931274414},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34681540727615356},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1554507315158844},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.09951013326644897},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07896208763122559},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3224446","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3224446","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09963556.pdf","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:32af8745e8224c11905f54b026c4fc72","is_oa":true,"landing_page_url":"https://doaj.org/article/32af8745e8224c11905f54b026c4fc72","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":"IEEE Access, Vol 10, Pp 123378-123386 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3224446","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3224446","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09963556.pdf","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":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313167352.pdf","grobid_xml":"https://content.openalex.org/works/W4313167352.grobid-xml"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1566317684","https://openalex.org/W1861492603","https://openalex.org/W1870285787","https://openalex.org/W1975632854","https://openalex.org/W2000474946","https://openalex.org/W2031489346","https://openalex.org/W2045790067","https://openalex.org/W2102605133","https://openalex.org/W2108397451","https://openalex.org/W2108466378","https://openalex.org/W2147141800","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2462726827","https://openalex.org/W2567784893","https://openalex.org/W2597358295","https://openalex.org/W2762439315","https://openalex.org/W2917896152","https://openalex.org/W2963037989","https://openalex.org/W2963125010","https://openalex.org/W2963351448","https://openalex.org/W2982363097","https://openalex.org/W3005466304","https://openalex.org/W3018757597","https://openalex.org/W3034971973","https://openalex.org/W3035295069","https://openalex.org/W3082559593","https://openalex.org/W3092264835","https://openalex.org/W3096609285","https://openalex.org/W3106250896","https://openalex.org/W3110501021","https://openalex.org/W3148848505","https://openalex.org/W3190592576","https://openalex.org/W3202424564","https://openalex.org/W4239510810","https://openalex.org/W4283032729","https://openalex.org/W4287828713","https://openalex.org/W4293584584","https://openalex.org/W4297775537","https://openalex.org/W4404384828","https://openalex.org/W6620707391","https://openalex.org/W6638444622","https://openalex.org/W6639102338","https://openalex.org/W6684191040","https://openalex.org/W6737664043","https://openalex.org/W6750227808","https://openalex.org/W6774433549","https://openalex.org/W6777046832","https://openalex.org/W6778485988","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W3214712242","https://openalex.org/W3204461065","https://openalex.org/W1965417009","https://openalex.org/W2018320994","https://openalex.org/W2085232331","https://openalex.org/W2460685830","https://openalex.org/W2738547440","https://openalex.org/W2925195937","https://openalex.org/W2741863531"],"abstract_inverted_index":{"The":[0,52,154],"damage":[1,26,44,97,162],"of":[2,8,83,151],"wind":[3,13,32,48,159],"turbine":[4,33,49,160],"blades":[5],"is":[6,115],"one":[7],"the":[9,20,25,30,62,71,74,96,109,118,147,152,158,172],"main":[10],"problems":[11],"restricting":[12],"power":[14],"development.":[15],"Object":[16],"detection":[17,63,98,106,163,176],"can":[18,170],"identify":[19],"damaged":[21],"regions":[22],"and":[23,42,65,89,102,126,139,149,178],"diagnose":[24],"types.":[27],"To":[28],"handle":[29],"high-resolution":[31],"blade":[34,50,161],"images,":[35],"this":[36],"article":[37],"presents":[38],"a":[39,104],"novel":[40],"efficient,":[41],"accurate":[43],"detector":[45],"(EADD)":[46],"for":[47],"images.":[51],"proposed":[53,119,168],"method":[54,120,169],"adopts":[55],"Single":[56],"Shot":[57],"MultiBox":[58],"Detector":[59],"(SSD)":[60],"as":[61,70],"framework":[64],"offers":[66],"an":[67],"improved":[68,75],"ResNet":[69,76],"backbone.":[72],"Firstly,":[73],"backbone":[77],"uses":[78],"dense":[79],"connection":[80],"blocks":[81],"consisting":[82],"factorized":[84],"depth-wise":[85],"separable":[86],"bottleneck":[87],"(FDSB)":[88],"feature":[90,112,129],"aggregation":[91],"module":[92],"(FAM),":[93],"which":[94],"makes":[95],"model":[99],"more":[100,128],"lightweight":[101],"has":[103],"faster":[105],"speed.":[107],"Secondly,":[108],"bidirectional":[110],"cross-scale":[111],"pyramid":[113],"(BiFPN)":[114],"introduced":[116],"into":[117],"to":[121,145],"use":[122],"multi-scale":[123],"features":[124],"fully":[125],"have":[127],"expression.":[130],"In":[131],"addition,":[132],"data":[133],"pre-processing,":[134],"exponential":[135],"moving":[136],"average":[137],"(EMA)":[138],"label":[140],"smooth":[141],"methods":[142],"are":[143],"utilized":[144],"improve":[146],"accuracy":[148,177],"robustness":[150],"model.":[153],"experimental":[155],"results":[156],"on":[157],"dataset":[164],"show":[165],"that":[166],"our":[167],"achieve":[171],"best":[173],"trade-off":[174],"between":[175],"computation":[179],"time":[180],"compared":[181],"with":[182],"other":[183],"competitive":[184],"methods.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-29T08:15:47.926485","created_date":"2025-10-10T00:00:00"}
