{"id":"https://openalex.org/W3004690961","doi":"https://doi.org/10.1155/2020/9619427","title":"Efficient Parameters Estimation Method for the Separable Nonlinear Least Squares Problem","display_name":"Efficient Parameters Estimation Method for the Separable Nonlinear Least Squares Problem","publication_year":2020,"publication_date":"2020-02-10","ids":{"openalex":"https://openalex.org/W3004690961","doi":"https://doi.org/10.1155/2020/9619427","mag":"3004690961"},"language":"en","primary_location":{"id":"doi:10.1155/2020/9619427","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2020/9619427","pdf_url":"https://downloads.hindawi.com/journals/complexity/2020/9619427.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2020/9619427.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100360076","display_name":"Ke Wang","orcid":"https://orcid.org/0000-0001-5110-6591"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]},{"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":["CA","CN"],"is_corresponding":true,"raw_author_name":"Ke Wang","raw_affiliation_strings":["College of Geomatics, Shandong University of Science and Technology, Qingdao, Shandong 266590, China","Schulich School of Engineering, University of Calgary, Calgary, Alberta T2N 1N4, Canada"],"affiliations":[{"raw_affiliation_string":"College of Geomatics, Shandong University of Science and Technology, Qingdao, Shandong 266590, China","institution_ids":["https://openalex.org/I80143920"]},{"raw_affiliation_string":"Schulich School of Engineering, University of Calgary, Calgary, Alberta T2N 1N4, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090095535","display_name":"Guolin Liu","orcid":"https://orcid.org/0000-0001-5044-1750"},"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":"Guolin Liu","raw_affiliation_strings":["College of Geomatics, Shandong University of Science and Technology, Qingdao, Shandong 266590, China"],"affiliations":[{"raw_affiliation_string":"College of Geomatics, Shandong University of Science and Technology, Qingdao, Shandong 266590, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100549049","display_name":"Qiuxiang Tao","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":"Qiuxiang Tao","raw_affiliation_strings":["College of Geomatics, Shandong University of Science and Technology, Qingdao, Shandong 266590, China"],"affiliations":[{"raw_affiliation_string":"College of Geomatics, Shandong University of Science and Technology, Qingdao, Shandong 266590, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102946832","display_name":"Min Zhai","orcid":"https://orcid.org/0000-0002-6628-7214"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]},{"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":["CA","CN"],"is_corresponding":false,"raw_author_name":"Min Zhai","raw_affiliation_strings":["College of Geomatics, Shandong University of Science and Technology, Qingdao, Shandong 266590, China","Schulich School of Engineering, University of Calgary, Calgary, Alberta T2N 1N4, Canada"],"affiliations":[{"raw_affiliation_string":"College of Geomatics, Shandong University of Science and Technology, Qingdao, Shandong 266590, China","institution_ids":["https://openalex.org/I80143920"]},{"raw_affiliation_string":"Schulich School of Engineering, University of Calgary, Calgary, Alberta T2N 1N4, Canada","institution_ids":["https://openalex.org/I168635309"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5090095535","https://openalex.org/A5100360076"],"corresponding_institution_ids":["https://openalex.org/I168635309","https://openalex.org/I80143920"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":0.5888,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.68116038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9962999820709229,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9962999820709229,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.995199978351593,"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/T13487","display_name":"Statistical and numerical algorithms","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6741589903831482},{"id":"https://openalex.org/keywords/non-linear-least-squares","display_name":"Non-linear least squares","score":0.6729721426963806},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5942615270614624},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.5719442963600159},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.5611145496368408},{"id":"https://openalex.org/keywords/coefficient-matrix","display_name":"Coefficient matrix","score":0.554888129234314},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.5433261394500732},{"id":"https://openalex.org/keywords/linear-least-squares","display_name":"Linear least squares","score":0.5157890319824219},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.49142181873321533},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4666825234889984},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4473405182361603},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4020903706550598},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4012705087661743},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12423518300056458},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.08130642771720886}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6741589903831482},{"id":"https://openalex.org/C45923927","wikidata":"https://www.wikidata.org/wiki/Q3319230","display_name":"Non-linear least squares","level":3,"score":0.6729721426963806},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5942615270614624},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.5719442963600159},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.5611145496368408},{"id":"https://openalex.org/C60866291","wikidata":"https://www.wikidata.org/wiki/Q5140577","display_name":"Coefficient matrix","level":3,"score":0.554888129234314},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.5433261394500732},{"id":"https://openalex.org/C58663186","wikidata":"https://www.wikidata.org/wiki/Q6553462","display_name":"Linear least squares","level":3,"score":0.5157890319824219},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.49142181873321533},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4666825234889984},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4473405182361603},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4020903706550598},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4012705087661743},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12423518300056458},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.08130642771720886},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1155/2020/9619427","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2020/9619427","pdf_url":"https://downloads.hindawi.com/journals/complexity/2020/9619427.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:9619427","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/8503/2020/9619427.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"},{"id":"pmh:oai:doaj.org/article:59fccad0ed3f4fe5bf261e6850946011","is_oa":true,"landing_page_url":"https://doaj.org/article/59fccad0ed3f4fe5bf261e6850946011","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complexity, Vol 2020 (2020)","raw_type":"article"},{"id":"pmh:oai:hindawi.com:10.1155/2020/9619427","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/9619427","pdf_url":null,"source":{"id":"https://openalex.org/S4306400340","display_name":"Hindawi Journal of Chemistry (Hindawi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210126990","host_organization_name":"Hindawi (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210126990"],"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":"","raw_type":"Research Article"},{"id":"pmh:oai:prism.ucalgary.ca:1880/111657","is_oa":true,"landing_page_url":"http://hdl.handle.net/1880/111657","pdf_url":null,"source":{"id":"https://openalex.org/S4306402261","display_name":"Libraries and Cultural Resources (University of Calgary)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I168635309","host_organization_name":"University of Calgary","host_organization_lineage":["https://openalex.org/I168635309"],"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":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1155/2020/9619427","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2020/9619427","pdf_url":"https://downloads.hindawi.com/journals/complexity/2020/9619427.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G16161867","display_name":null,"funder_award_id":"TSXZ201509","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2558877468","display_name":null,"funder_award_id":"SDKDYC190207","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3067753672","display_name":null,"funder_award_id":"41774002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G37568934","display_name":null,"funder_award_id":"Grant","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320311026","display_name":"Shandong University","ror":"https://ror.org/0207yh398"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322522","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3004690961.pdf","grobid_xml":"https://content.openalex.org/works/W3004690961.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W2000380654","https://openalex.org/W2018089423","https://openalex.org/W2018189982","https://openalex.org/W2031604650","https://openalex.org/W2035502234","https://openalex.org/W2038904236","https://openalex.org/W2041857005","https://openalex.org/W2042222594","https://openalex.org/W2046387633","https://openalex.org/W2050761493","https://openalex.org/W2053726430","https://openalex.org/W2064949600","https://openalex.org/W2073835183","https://openalex.org/W2078094465","https://openalex.org/W2081182772","https://openalex.org/W2087070363","https://openalex.org/W2090636411","https://openalex.org/W2110236632","https://openalex.org/W2128131274","https://openalex.org/W2132208889","https://openalex.org/W2141804730","https://openalex.org/W2142334343","https://openalex.org/W2169457105","https://openalex.org/W2256578114","https://openalex.org/W2302465375","https://openalex.org/W2557573689","https://openalex.org/W2561471331","https://openalex.org/W2739833408","https://openalex.org/W2756336488","https://openalex.org/W2762021334","https://openalex.org/W2791255579","https://openalex.org/W2804206910","https://openalex.org/W2810507125","https://openalex.org/W2900802873","https://openalex.org/W2921737079","https://openalex.org/W2949735065","https://openalex.org/W2979035382","https://openalex.org/W2989884385","https://openalex.org/W3046265042"],"related_works":["https://openalex.org/W2549446753","https://openalex.org/W2026673180","https://openalex.org/W79007405","https://openalex.org/W1959514624","https://openalex.org/W4380487384","https://openalex.org/W327962130","https://openalex.org/W2034819163","https://openalex.org/W4319880936","https://openalex.org/W200101083","https://openalex.org/W4378552425"],"abstract_inverted_index":{"In":[0],"this":[1],"work,":[2],"we":[3,32,91],"combine":[4],"the":[5,9,35,39,46,50,63,68,75,85,88,101,112,117,127,133,137,143,149,153,158,164,172,175,180],"special":[6],"structure":[7],"of":[8,87,100,119,136,166],"separable":[10],"nonlinear":[11,29,36,76],"least":[12,51,144],"squares":[13,52,145],"problem":[14,151],"with":[15,98],"a":[16],"variable":[17],"projection":[18],"algorithm":[19,42],"based":[20,66,170],"on":[21,67,95,171],"singular":[22],"value":[23],"decomposition":[24],"to":[25,71,147,179],"separate":[26],"linear":[27,47,138],"and":[28,43,121,130],"parameters.":[30],"Then,":[31],"propose":[33],"finding":[34],"parameters":[37,48,139],"using":[38,49,57,142],"Levenberg\u2013Marquart":[40],"(LM)":[41],"either":[44],"solve":[45,148],"method":[53,60,103,115,146,165],"directly":[54],"or":[55,73],"by":[56,125],"an":[58],"iteration":[59],"that":[61,99,110],"corrects":[62],"characteristic":[64,168],"values":[65,169],"L-curve,":[69],"according":[70],"whether":[72],"not":[74],"function":[77],"coefficient":[78,134,159],"matrix":[79,135,160],"is":[80,140,161],"ill":[81,162],"posed.":[82],"To":[83],"prove":[84],"feasibility":[86],"proposed":[89],"method,":[90],"compared":[92],"its":[93],"performance":[94],"three":[96],"examples":[97],"LM":[102],"without":[104],"parameter":[105,113,128],"separation.":[106],"The":[107],"results":[108],"show":[109],"(1)":[111],"separation":[114],"reduces":[116],"number":[118],"iterations":[120],"improves":[122],"computational":[123],"efficiency":[124],"reducing":[126],"dimensions":[129],"(2)":[131],"when":[132],"well-posed,":[141],"fitting":[150,155,181],"provides":[152,174],"highest":[154],"accuracy.":[156],"When":[157],"posed,":[163],"correcting":[167],"L-curve":[173],"most":[176],"accurate":[177],"solution":[178],"problem.":[182]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
