{"id":"https://openalex.org/W3082939788","doi":"https://doi.org/10.1155/2020/8834162","title":"Whale Optimization Algorithm for Multiconstraint Second-Order Stochastic Dominance Portfolio Optimization","display_name":"Whale Optimization Algorithm for Multiconstraint Second-Order Stochastic Dominance Portfolio Optimization","publication_year":2020,"publication_date":"2020-08-28","ids":{"openalex":"https://openalex.org/W3082939788","doi":"https://doi.org/10.1155/2020/8834162","mag":"3082939788","pmid":"https://pubmed.ncbi.nlm.nih.gov/32908478"},"language":"en","primary_location":{"id":"doi:10.1155/2020/8834162","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8834162","pdf_url":"https://downloads.hindawi.com/journals/cin/2020/8834162.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"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 Intelligence and Neuroscience","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/cin/2020/8834162.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080519446","display_name":"Qianhao Zhai","orcid":"https://orcid.org/0000-0001-8514-1723"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Q. H. Zhai","raw_affiliation_strings":["School of Sciences, Hainan University, No. 58 Renmin Avenue, Haikou 570228, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Sciences, Hainan University, No. 58 Renmin Avenue, Haikou 570228, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101446236","display_name":"Tong Ye","orcid":"https://orcid.org/0000-0002-4854-3544"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"T. Ye","raw_affiliation_strings":["College of Management and Economy, Tianjin University, 92 Weijin Road Nankai District, Tianjin 300072, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Management and Economy, Tianjin University, 92 Weijin Road Nankai District, Tianjin 300072, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108397644","display_name":"M. X. Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"M. X. Huang","raw_affiliation_strings":["School of Information and Communication Engineering, Hainan University, No. 58 Renmin Avenue, Haikou 570228, China","State Key Laboratory of Marine Resource Utilization in the South China Sea, Hainan University, No. 58 Renmin Avenue, Haikou 570228, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Hainan University, No. 58 Renmin Avenue, Haikou 570228, China","institution_ids":["https://openalex.org/I20942203"]},{"raw_affiliation_string":"State Key Laboratory of Marine Resource Utilization in the South China Sea, Hainan University, No. 58 Renmin Avenue, Haikou 570228, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058207438","display_name":"Siling Feng","orcid":"https://orcid.org/0000-0002-8627-2028"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"S. L. Feng","raw_affiliation_strings":["School of Information and Communication Engineering, Hainan University, No. 58 Renmin Avenue, Haikou 570228, China"],"raw_orcid":"https://orcid.org/0000-0002-8627-2028","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Hainan University, No. 58 Renmin Avenue, Haikou 570228, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078266720","display_name":"Haoqin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"H. Li","raw_affiliation_strings":["School of Information and Communication Engineering, Hainan University, No. 58 Renmin Avenue, Haikou 570228, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Hainan University, No. 58 Renmin Avenue, Haikou 570228, China","institution_ids":["https://openalex.org/I20942203"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5058207438"],"corresponding_institution_ids":["https://openalex.org/I20942203"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":5.0188,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.95555048,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11413","display_name":"Risk and Portfolio Optimization","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T11413","display_name":"Risk and Portfolio Optimization","score":0.9983000159263611,"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/T10047","display_name":"Financial Markets and Investment Strategies","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11326","display_name":"Stock Market Forecasting Methods","score":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/portfolio-optimization","display_name":"Portfolio optimization","score":0.71056067943573},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5826220512390137},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.55442214012146},{"id":"https://openalex.org/keywords/portfolio","display_name":"Portfolio","score":0.5458453893661499},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5394132733345032},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4772231876850128},{"id":"https://openalex.org/keywords/multi-swarm-optimization","display_name":"Multi-swarm optimization","score":0.45720037817955017},{"id":"https://openalex.org/keywords/stochastic-optimization","display_name":"Stochastic optimization","score":0.43831461668014526},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.33920830488204956},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.32264792919158936},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2505215108394623},{"id":"https://openalex.org/keywords/financial-economics","display_name":"Financial economics","score":0.19609332084655762},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18844571709632874}],"concepts":[{"id":"https://openalex.org/C202655437","wikidata":"https://www.wikidata.org/wiki/Q7231728","display_name":"Portfolio optimization","level":3,"score":0.71056067943573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5826220512390137},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.55442214012146},{"id":"https://openalex.org/C2780821815","wikidata":"https://www.wikidata.org/wiki/Q5340806","display_name":"Portfolio","level":2,"score":0.5458453893661499},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5394132733345032},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4772231876850128},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.45720037817955017},{"id":"https://openalex.org/C194387892","wikidata":"https://www.wikidata.org/wiki/Q1747770","display_name":"Stochastic optimization","level":2,"score":0.43831461668014526},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.33920830488204956},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.32264792919158936},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2505215108394623},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.19609332084655762},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18844571709632874}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007360","descriptor_name":"Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007360","descriptor_name":"Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007360","descriptor_name":"Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007360","descriptor_name":"Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007449","descriptor_name":"Investments","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007449","descriptor_name":"Investments","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007449","descriptor_name":"Investments","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007449","descriptor_name":"Investments","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014907","descriptor_name":"Whales","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014907","descriptor_name":"Whales","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014907","descriptor_name":"Whales","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014907","descriptor_name":"Whales","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019277","descriptor_name":"Entropy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1155/2020/8834162","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8834162","pdf_url":"https://downloads.hindawi.com/journals/cin/2020/8834162.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"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 Intelligence and Neuroscience","raw_type":"journal-article"},{"id":"pmid:32908478","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32908478","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 intelligence and neuroscience","raw_type":null},{"id":"pmh:oai:doaj.org/article:fc49be2ffabc42ec989615e2034cd923","is_oa":false,"landing_page_url":"https://doaj.org/article/fc49be2ffabc42ec989615e2034cd923","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 Intelligence and Neuroscience, Vol 2020 (2020)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7474746","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7474746","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Comput Intell Neurosci","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2020/8834162","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8834162","pdf_url":"https://downloads.hindawi.com/journals/cin/2020/8834162.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"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 Intelligence and Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3082939788.pdf","grobid_xml":"https://content.openalex.org/works/W3082939788.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1558438642","https://openalex.org/W1816901231","https://openalex.org/W1968782695","https://openalex.org/W1994756555","https://openalex.org/W1995834279","https://openalex.org/W2009747617","https://openalex.org/W2011875909","https://openalex.org/W2014129541","https://openalex.org/W2024617909","https://openalex.org/W2039420625","https://openalex.org/W2051580823","https://openalex.org/W2052160057","https://openalex.org/W2059627936","https://openalex.org/W2064663555","https://openalex.org/W2099072671","https://openalex.org/W2109635221","https://openalex.org/W2137689207","https://openalex.org/W2158771116","https://openalex.org/W2160683585","https://openalex.org/W2238030762","https://openalex.org/W2290883490","https://openalex.org/W2502171795","https://openalex.org/W2513225097","https://openalex.org/W2535720922","https://openalex.org/W2553852618","https://openalex.org/W2554819721","https://openalex.org/W2605810061","https://openalex.org/W2613613071","https://openalex.org/W2745485746","https://openalex.org/W2790763152","https://openalex.org/W2791153118","https://openalex.org/W2792521154","https://openalex.org/W2801670578","https://openalex.org/W2804315147","https://openalex.org/W2804736656","https://openalex.org/W2825655941","https://openalex.org/W2888303819","https://openalex.org/W2894806225","https://openalex.org/W2903261817","https://openalex.org/W2912733464","https://openalex.org/W2947282701","https://openalex.org/W2976379839","https://openalex.org/W2999412666","https://openalex.org/W3082939788","https://openalex.org/W3104888482","https://openalex.org/W3122516690","https://openalex.org/W3125057762","https://openalex.org/W3125231897","https://openalex.org/W4236670843"],"related_works":["https://openalex.org/W2006324351","https://openalex.org/W2965421953","https://openalex.org/W2349895019","https://openalex.org/W2116074880","https://openalex.org/W2950423922","https://openalex.org/W2121780490","https://openalex.org/W2137136732","https://openalex.org/W2132113279","https://openalex.org/W2368795850","https://openalex.org/W2113224065"],"abstract_inverted_index":{"In":[0],"the":[1,9,19,37,46,51,57,77,90,103,112,117,123,130,133,138,162],"field":[2],"of":[3,11,39,54,81,114,116,132,161],"asset":[4,23],"allocation,":[5],"how":[6],"to":[7,35,101],"balance":[8],"returns":[10,78],"an":[12],"investment":[13,64],"portfolio":[14,70,106],"and":[15,29,42,60,79,155],"its":[16,87],"fluctuations":[17],"is":[18,99],"core":[20],"issue.":[21],"Capital":[22],"pricing":[24,27],"model,":[25,72,108],"arbitrage":[26],"theory,":[28],"Fama-French":[30],"three-factor":[31],"model":[32],"were":[33],"used":[34,100],"quantify":[36],"price":[38],"individual":[40],"stocks":[41],"portfolios.":[43],"Based":[44],"on":[45,95],"second-order":[47],"stochastic":[48],"dominance":[49],"rule,":[50],"higher":[52],"moments":[53],"return":[55,115],"series,":[56],"Shannon":[58],"entropy,":[59],"some":[61],"other":[62,139],"actual":[63],"constraints,":[65],"we":[66],"construct":[67],"a":[68],"multiconstraint":[69,105],"optimization":[71,92,107,135,143,150],"aiming":[73],"at":[74],"comprehensively":[75],"weighting":[76],"risk":[80],"portfolios":[82],"rather":[83],"than":[84],"blindly":[85],"maximizing":[86],"returns.":[88],"Furthermore,":[89,126],"whale":[91,134],"algorithm":[93,136],"based":[94],"FTSE100":[96,124],"index":[97],"data":[98],"optimize":[102],"above":[104],"which":[109],"significantly":[110],"improves":[111],"rate":[113],"simple":[118],"diversified":[119],"buy-and-hold":[120],"strategy":[121],"or":[122],"index.":[125],"extensive":[127],"experiments":[128],"validate":[129],"superiority":[131],"over":[137],"four":[140],"swarm":[141,153],"intelligence":[142],"algorithms":[144],"(gray":[145],"wolf":[146],"optimizer,":[147],"fruit":[148],"fly":[149],"algorithm,":[151],"particle":[152],"optimization,":[154],"firefly":[156],"algorithm)":[157],"through":[158],"various":[159],"indicators":[160],"results,":[163],"especially":[164],"under":[165],"harsh":[166],"constraints.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
