{"id":"https://openalex.org/W3115798536","doi":"https://doi.org/10.1109/tsp.2020.3047523","title":"Adaptive Radar Detection and Classification Algorithms for Multiple Coherent Signals","display_name":"Adaptive Radar Detection and Classification Algorithms for Multiple Coherent Signals","publication_year":2020,"publication_date":"2020-12-25","ids":{"openalex":"https://openalex.org/W3115798536","doi":"https://doi.org/10.1109/tsp.2020.3047523","mag":"3115798536"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2020.3047523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2020.3047523","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2012.12688","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061036606","display_name":"Sudan Han","orcid":"https://orcid.org/0000-0003-4615-1632"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sudan Han","raw_affiliation_strings":["Artificial Intelligence Research Center, National Innovation Institute of Defense Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4615-1632","affiliations":[{"raw_affiliation_string":"Artificial Intelligence Research Center, National Innovation Institute of Defense Technology, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083010373","display_name":"Linjie Yan","orcid":"https://orcid.org/0000-0001-7904-8178"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linjie Yan","raw_affiliation_strings":["Institute of Acoustics, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Acoustics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100319902","display_name":"Yuxuan Zhang","orcid":"https://orcid.org/0000-0002-1247-6319"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxuan Zhang","raw_affiliation_strings":["Institute of Acoustics, Chinese Academy of Sciences, Beijing, China","University of Chinese Academy of Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Acoustics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I19820366"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046014658","display_name":"Pia Addabbo","orcid":"https://orcid.org/0000-0002-2463-8733"},"institutions":[{"id":"https://openalex.org/I4210165932","display_name":"Giustino Fortunato University","ror":"https://ror.org/0592q0v50","country_code":"IT","type":"education","lineage":["https://openalex.org/I4210165932"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Pia Addabbo","raw_affiliation_strings":["Universit\u00e0 degli studi \u201cGiustino Fortunato,\u201d, Benevento, Italy"],"raw_orcid":"https://orcid.org/0000-0002-2463-8733","affiliations":[{"raw_affiliation_string":"Universit\u00e0 degli studi \u201cGiustino Fortunato,\u201d, Benevento, Italy","institution_ids":["https://openalex.org/I4210165932"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353504","display_name":"Chengpeng Hao","orcid":"https://orcid.org/0000-0001-9643-1099"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210099069","display_name":"Institute of Acoustics","ror":"https://ror.org/00v8rqv75","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210099069"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengpeng Hao","raw_affiliation_strings":["Institute of Acoustics, Chinese Academy of Sciences, Beijing, China","Institute of Acoustics \u2013 Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9643-1099","affiliations":[{"raw_affiliation_string":"Institute of Acoustics, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Acoustics \u2013 Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210099069","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044520390","display_name":"Danilo Orlando","orcid":"https://orcid.org/0000-0001-8630-8505"},"institutions":[{"id":"https://openalex.org/I4210124295","display_name":"University Niccol\u00f2 Cusano","ror":"https://ror.org/032c3ae16","country_code":"IT","type":"education","lineage":["https://openalex.org/I4210124295"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Danilo Orlando","raw_affiliation_strings":["Engineering Faculty, Universit\u00e0 degli Studi \u201cNiccol\u00f2 Cusano,\u201d, Roma, Italy","[Engineering Faculty, Universit\u00e0 degli Studi \u201cNiccol\u00f2 Cusano\u201d, Roma, Italy]"],"raw_orcid":"https://orcid.org/0000-0001-8630-8505","affiliations":[{"raw_affiliation_string":"Engineering Faculty, Universit\u00e0 degli Studi \u201cNiccol\u00f2 Cusano,\u201d, Roma, Italy","institution_ids":["https://openalex.org/I4210124295"]},{"raw_affiliation_string":"[Engineering Faculty, Universit\u00e0 degli Studi \u201cNiccol\u00f2 Cusano\u201d, Roma, Italy]","institution_ids":["https://openalex.org/I4210124295"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5061036606"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":43.9661,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.99576797,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"69","issue":null,"first_page":"560","last_page":"572"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10891","display_name":"Radar Systems and Signal Processing","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10931","display_name":"Direction-of-Arrival Estimation Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11038","display_name":"Advanced SAR Imaging Techniques","score":0.9973999857902527,"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/computer-science","display_name":"Computer science","score":0.7257611751556396},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.6264826059341431},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5999025106430054},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5448728203773499},{"id":"https://openalex.org/keywords/multipath-propagation","display_name":"Multipath propagation","score":0.5313290357589722},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.503490149974823},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.48528072237968445},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.43330222368240356},{"id":"https://openalex.org/keywords/statistical-power","display_name":"Statistical power","score":0.423235684633255},{"id":"https://openalex.org/keywords/likelihood-ratio-test","display_name":"Likelihood-ratio test","score":0.4223555028438568},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35008758306503296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34699320793151855},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3318439722061157},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32951438426971436},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15906283259391785},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13600444793701172},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1081240177154541}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7257611751556396},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.6264826059341431},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5999025106430054},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5448728203773499},{"id":"https://openalex.org/C161218011","wikidata":"https://www.wikidata.org/wiki/Q11827794","display_name":"Multipath propagation","level":3,"score":0.5313290357589722},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.503490149974823},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.48528072237968445},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.43330222368240356},{"id":"https://openalex.org/C96608239","wikidata":"https://www.wikidata.org/wiki/Q1199823","display_name":"Statistical power","level":2,"score":0.423235684633255},{"id":"https://openalex.org/C9483764","wikidata":"https://www.wikidata.org/wiki/Q585740","display_name":"Likelihood-ratio test","level":2,"score":0.4223555028438568},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35008758306503296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34699320793151855},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3318439722061157},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32951438426971436},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15906283259391785},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13600444793701172},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1081240177154541},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tsp.2020.3047523","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2020.3047523","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2012.12688","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.12688","pdf_url":"https://arxiv.org/pdf/2012.12688","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:arpi.unipi.it:11568/1270493","is_oa":true,"landing_page_url":"https://hdl.handle.net/11568/1270493","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2012.12688","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2012.12688","pdf_url":"https://arxiv.org/pdf/2012.12688","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2248090048","display_name":null,"funder_award_id":"61971412","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5270610915","display_name":null,"funder_award_id":"61571434","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W210359992","https://openalex.org/W391578156","https://openalex.org/W624047035","https://openalex.org/W653761051","https://openalex.org/W1598668352","https://openalex.org/W1599242540","https://openalex.org/W1663612341","https://openalex.org/W1814500939","https://openalex.org/W1986921156","https://openalex.org/W2008414513","https://openalex.org/W2041050174","https://openalex.org/W2050665540","https://openalex.org/W2054877413","https://openalex.org/W2065607385","https://openalex.org/W2069215735","https://openalex.org/W2087527144","https://openalex.org/W2091489596","https://openalex.org/W2097525122","https://openalex.org/W2103148898","https://openalex.org/W2114217214","https://openalex.org/W2130953180","https://openalex.org/W2135442579","https://openalex.org/W2136274821","https://openalex.org/W2136606783","https://openalex.org/W2140728947","https://openalex.org/W2142517930","https://openalex.org/W2144158572","https://openalex.org/W2149246019","https://openalex.org/W2151093159","https://openalex.org/W2168703653","https://openalex.org/W2169652966","https://openalex.org/W2247519849","https://openalex.org/W2290412153","https://openalex.org/W2475771804","https://openalex.org/W2512311144","https://openalex.org/W2560086602","https://openalex.org/W2593316319","https://openalex.org/W2610765350","https://openalex.org/W2610857016","https://openalex.org/W2946205185","https://openalex.org/W2966472316","https://openalex.org/W2969558369","https://openalex.org/W2969695379","https://openalex.org/W3098832705","https://openalex.org/W3100134323","https://openalex.org/W3148892937","https://openalex.org/W4285719527","https://openalex.org/W6635808755","https://openalex.org/W6637201377","https://openalex.org/W6667781421"],"related_works":["https://openalex.org/W3003558595","https://openalex.org/W2035798565","https://openalex.org/W2316908264","https://openalex.org/W2115979595","https://openalex.org/W4242511140","https://openalex.org/W1963493069","https://openalex.org/W2067995684","https://openalex.org/W2904195262","https://openalex.org/W2001107817","https://openalex.org/W2259063491"],"abstract_inverted_index":{"In":[0,67],"this":[1,34,68],"paper,":[2],"we":[3,36,81,99],"address":[4],"the":[5,11,38,48,58,72,76,106,118,122,126,130,146],"problem":[6,39],"of":[7,13,60,64,75,108,110,155,157],"target":[8],"detection":[9,85,158],"in":[10,96,138,153],"presence":[12,59],"coherent":[14,112],"(or":[15],"fully":[16],"correlated)":[17],"signals,":[18],"which":[19,93],"can":[20,88,149],"be":[21],"due":[22],"to":[23,104],"multipath":[24],"propagation":[25],"effects":[26],"or":[27],"electronic":[28],"attacks":[29],"by":[30],"smart":[31],"jammers.":[32],"To":[33],"end,":[35],"formulate":[37],"at":[40],"hand":[41],"as":[42,90,125],"a":[43,91,101],"multiple-hypothesis":[44],"test":[45],"that,":[46],"besides":[47],"conventional":[49,141],"radar":[50,142],"alternative":[51],"hypothesis,":[52],"contains":[53],"additional":[54],"hypotheses":[55],"accounting":[56],"for":[57,117],"an":[61],"unknown":[62],"number":[63],"interfering":[65],"signals.":[66],"context":[69],"and":[70,137,159],"leveraging":[71],"classification":[73],"capabilities":[74],"Model":[77],"Order":[78],"Selection":[79],"rules,":[80],"devise":[82],"penalized":[83],"likelihood-ratio-based":[84],"architectures":[86,148],"that":[87,145],"establish,":[89],"byproduct,":[92],"hypothesis":[94],"is":[95],"force.":[97],"Moreover,":[98],"propose":[100],"suboptimum":[102],"procedure":[103],"estimate":[105],"angles":[107],"arrival":[109],"multiple":[111],"signals":[113],"ensuring":[114],"(at":[115],"least":[116],"considered":[119],"parameters)":[120],"almost":[121],"same":[123],"performance":[124,131,152],"exhaustive":[127],"search.":[128],"Finally,":[129],"assessment,":[132],"conducted":[133],"over":[134],"simulated":[135],"data":[136],"comparison":[139],"with":[140],"detectors,":[143],"highlights":[144],"proposed":[147],"provide":[150],"satisfactory":[151],"terms":[154],"probability":[156],"correct":[160],"classification.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":8}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2021-01-05T00:00:00"}