{"id":"https://openalex.org/W2120838210","doi":"https://doi.org/10.1155/2013/545613","title":"Coercively Adjusted Auto Regression Model for Forecasting in Epilepsy EEG","display_name":"Coercively Adjusted Auto Regression Model for Forecasting in Epilepsy EEG","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2120838210","doi":"https://doi.org/10.1155/2013/545613","mag":"2120838210","pmid":"https://pubmed.ncbi.nlm.nih.gov/23710252"},"language":"en","primary_location":{"id":"doi:10.1155/2013/545613","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2013/545613","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2013/545613.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"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":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cmmm/2013/545613.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100417569","display_name":"Sunhee Kim","orcid":"https://orcid.org/0000-0003-1762-6459"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sun-Hee Kim","raw_affiliation_strings":["Department of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035605036","display_name":"Christos Faloutsos","orcid":"https://orcid.org/0000-0003-2996-9790"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christos Faloutsos","raw_affiliation_strings":["Department of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087619194","display_name":"Hyung-Jeong Yang","orcid":"https://orcid.org/0000-0003-3024-5060"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hyung-Jeong Yang","raw_affiliation_strings":["Department of Computer Science, Chonnam National University, Gwangju 500-757, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Chonnam National University, Gwangju 500-757, Republic of Korea","institution_ids":["https://openalex.org/I111277659"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087619194"],"corresponding_institution_ids":["https://openalex.org/I111277659"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":1.7233,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.83951662,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2013","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.7235071063041687},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7115530371665955},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5962249040603638},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.55916827917099},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.514517068862915},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5045448541641235},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.49267464876174927},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4418708086013794},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43436408042907715},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.40614137053489685},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3879971504211426},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2328694760799408},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.1883118450641632},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1694636046886444}],"concepts":[{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.7235071063041687},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7115530371665955},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5962249040603638},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.55916827917099},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.514517068862915},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5045448541641235},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.49267464876174927},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4418708086013794},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43436408042907715},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.40614137053489685},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3879971504211426},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2328694760799408},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.1883118450641632},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1694636046886444}],"mesh":[{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D003936","descriptor_name":"Diagnosis, Computer-Assisted","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D004569","descriptor_name":"Electroencephalography","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D004827","descriptor_name":"Epilepsy","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D004827","descriptor_name":"Epilepsy","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D004827","descriptor_name":"Epilepsy","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1155/2013/545613","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2013/545613","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2013/545613.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"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":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},{"id":"pmid:23710252","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23710252","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and mathematical methods in medicine","raw_type":null},{"id":"pmh:oai:doaj.org/article:e70f6b2d837e41c2883b4f9428ed8d2d","is_oa":false,"landing_page_url":"https://doaj.org/article/e70f6b2d837e41c2883b4f9428ed8d2d","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational and Mathematical Methods in Medicine, Vol 2013 (2013)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:2658358","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3655454","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2013/545613","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2013/545613","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2013/545613.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"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":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.5799999833106995}],"awards":[{"id":"https://openalex.org/G3704567790","display_name":null,"funder_award_id":"NIPA-2013-H0301-13-3005","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G5068183192","display_name":null,"funder_award_id":"NIPA-2013-H0301-13-3005","funder_id":"https://openalex.org/F4320322065","funder_display_name":"National IT Industry Promotion Agency"},{"id":"https://openalex.org/G5339197367","display_name":null,"funder_award_id":"2012-0007810","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G5720637025","display_name":null,"funder_award_id":"NIPA-2013-H0301-13-3005","funder_id":"https://openalex.org/F4320321640","funder_display_name":"Ministry of Knowledge Economy"},{"id":"https://openalex.org/G6688706427","display_name":null,"funder_award_id":"2012-0007810","funder_id":"https://openalex.org/F4320322065","funder_display_name":"National IT Industry Promotion Agency"},{"id":"https://openalex.org/G907376543","display_name":null,"funder_award_id":"2012-0007810","funder_id":"https://openalex.org/F4320321640","funder_display_name":"Ministry of Knowledge Economy"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321640","display_name":"Ministry of Knowledge Economy","ror":"https://ror.org/008nkqk13"},{"id":"https://openalex.org/F4320322065","display_name":"National IT Industry Promotion Agency","ror":"https://ror.org/026v53e29"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320322349","display_name":"Ministry of Education, Science and Technology","ror":"https://ror.org/01p262204"},{"id":"https://openalex.org/F4320324891","display_name":"Iran Telecommunication Research Center","ror":"https://ror.org/01a3g2z22"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2120838210.pdf","grobid_xml":"https://content.openalex.org/works/W2120838210.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W390771207","https://openalex.org/W1986872133","https://openalex.org/W1987861243","https://openalex.org/W2000236114","https://openalex.org/W2007945931","https://openalex.org/W2011304357","https://openalex.org/W2014420339","https://openalex.org/W2026424972","https://openalex.org/W2027605884","https://openalex.org/W2036801659","https://openalex.org/W2037759858","https://openalex.org/W2040174397","https://openalex.org/W2048956316","https://openalex.org/W2049287603","https://openalex.org/W2049304293","https://openalex.org/W2050102536","https://openalex.org/W2053744708","https://openalex.org/W2055663768","https://openalex.org/W2069702787","https://openalex.org/W2078206416","https://openalex.org/W2087356873","https://openalex.org/W2097340811","https://openalex.org/W2097937682","https://openalex.org/W2098368581","https://openalex.org/W2101520055","https://openalex.org/W2110661716","https://openalex.org/W2114942458","https://openalex.org/W2115292859","https://openalex.org/W2117014758","https://openalex.org/W2118787601","https://openalex.org/W2135941726","https://openalex.org/W2147268071","https://openalex.org/W2149320615","https://openalex.org/W2159025673","https://openalex.org/W2167281592","https://openalex.org/W2169196231","https://openalex.org/W2169812774","https://openalex.org/W4249965249"],"related_works":["https://openalex.org/W2610868774","https://openalex.org/W4399767649","https://openalex.org/W2092994918","https://openalex.org/W3216594821","https://openalex.org/W2390006526","https://openalex.org/W31220157","https://openalex.org/W4363647291","https://openalex.org/W1915333409","https://openalex.org/W2393341384","https://openalex.org/W2312753042"],"abstract_inverted_index":{"Recently,":[0],"data":[1,16,100],"with":[2,74],"complex":[3],"characteristics":[4,19,98],"such":[5],"as":[6],"epilepsy":[7,58,107],"electroencephalography":[8],"(EEG)":[9],"time":[10,60],"series":[11],"has":[12,17],"emerged.":[13],"Epilepsy":[14],"EEG":[15,59,108],"special":[18,38,97],"including":[20],"nonlinearity,":[21],"nonnormality,":[22],"and":[23,76,125],"nonperiodicity.":[24],"Therefore,":[25],"it":[26],"is":[27,81],"important":[28],"to":[29,83,101,116],"find":[30],"a":[31,45,56],"suitable":[32],"forecasting":[33],"method":[34,50,95,121],"that":[35,51,113],"covers":[36],"these":[37],"characteristics.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43],"propose":[44],"coercively":[46],"adjusted":[47],"autoregression":[48],"(CA-AR)":[49],"forecasts":[52],"future":[53,104],"values":[54],"from":[55],"multivariable":[57],"series.":[61],"We":[62,91],"use":[63],"the":[64,72,85,88,93,103,119],"technique":[65],"of":[66,87,99,106],"random":[67],"coefficients,":[68],"which":[69],"forcefully":[70],"adjusts":[71],"coefficients":[73],"-1":[75],"1.":[77],"The":[78],"fractal":[79],"dimension":[80],"used":[82],"determine":[84],"order":[86],"CA-AR":[89,94],"model.":[90],"applied":[92],"reflecting":[96],"forecast":[102,123],"value":[105],"data.":[109],"Experimental":[110],"results":[111],"show":[112],"when":[114],"compared":[115],"previous":[117],"methods,":[118],"proposed":[120],"can":[122],"faster":[124],"accurately.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}