{"id":"https://openalex.org/W4392816168","doi":"https://doi.org/10.7717/peerj-cs.1839","title":"An improved differential evolution algorithm for multi-modal multi-objective optimization","display_name":"An improved differential evolution algorithm for multi-modal multi-objective optimization","publication_year":2024,"publication_date":"2024-03-14","ids":{"openalex":"https://openalex.org/W4392816168","doi":"https://doi.org/10.7717/peerj-cs.1839","pmid":"https://pubmed.ncbi.nlm.nih.gov/38660209","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/11041989"},"language":"en","primary_location":{"id":"doi:10.7717/peerj-cs.1839","doi":"https://doi.org/10.7717/peerj-cs.1839","is_oa":true,"landing_page_url":"https://doi.org/10.7717/peerj-cs.1839","pdf_url":"https://peerj.com/articles/cs-1839.pdf","source":{"id":"https://openalex.org/S4210178049","display_name":"PeerJ Computer Science","issn_l":"2376-5992","issn":["2376-5992"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","ki-jl-1","norway-1","oarl","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320104","host_organization_name":"PeerJ, Inc.","host_organization_lineage":["https://openalex.org/P4310320104"],"host_organization_lineage_names":["PeerJ, Inc."],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PeerJ Computer Science","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://peerj.com/articles/cs-1839.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Dan Qu","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I16351329","display_name":"China West Normal University","ror":"https://ror.org/04s99y476","country_code":"CN","type":"education","lineage":["https://openalex.org/I16351329"]},{"id":"https://openalex.org/I64852412","display_name":"Sichuan University of Science and Engineering","ror":"https://ror.org/053fzma23","country_code":"CN","type":"education","lineage":["https://openalex.org/I64852412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Qu","raw_affiliation_strings":["College of Mathematics Education, China West Normal University, Nanchong, China","College of Mathematics and Statistics, Sichuan University of Science & Engineering, Zigong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics Education, China West Normal University, Nanchong, China","institution_ids":["https://openalex.org/I16351329"]},{"raw_affiliation_string":"College of Mathematics and Statistics, Sichuan University of Science & Engineering, Zigong, China","institution_ids":["https://openalex.org/I64852412"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105841038","display_name":"Hualin Xiao","orcid":"https://orcid.org/0009-0000-8370-0931","observed_orcids":["https://orcid.org/0009-0000-8370-0931"]},"institutions":[{"id":"https://openalex.org/I16351329","display_name":"China West Normal University","ror":"https://ror.org/04s99y476","country_code":"CN","type":"education","lineage":["https://openalex.org/I16351329"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hualin Xiao","raw_affiliation_strings":["College of Mathematics Education, China West Normal University, Nanchong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics Education, China West Normal University, Nanchong, China","institution_ids":["https://openalex.org/I16351329"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030404418","display_name":"Huafei Chen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I64852412","display_name":"Sichuan University of Science and Engineering","ror":"https://ror.org/053fzma23","country_code":"CN","type":"education","lineage":["https://openalex.org/I64852412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huafei Chen","raw_affiliation_strings":["College of Mathematics and Statistics, Sichuan University of Science & Engineering, Zigong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Statistics, Sichuan University of Science & Engineering, Zigong, China","institution_ids":["https://openalex.org/I64852412"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100413697","display_name":"Hongyi Li","orcid":"https://orcid.org/0000-0002-7590-7411","observed_orcids":["https://orcid.org/0000-0002-7590-7411","https://orcid.org/0000-0003-0807-5800","https://orcid.org/0009-0003-6233-3396","https://orcid.org/0009-0004-2109-5173"]},"institutions":[{"id":"https://openalex.org/I64852412","display_name":"Sichuan University of Science and Engineering","ror":"https://ror.org/053fzma23","country_code":"CN","type":"education","lineage":["https://openalex.org/I64852412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyi Li","raw_affiliation_strings":["College of Mathematics and Statistics, Sichuan University of Science & Engineering, Zigong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Statistics, Sichuan University of Science & Engineering, Zigong, China","institution_ids":["https://openalex.org/I64852412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5105841038"],"corresponding_institution_ids":["https://openalex.org/I16351329"],"apc_list":{"value":1395,"currency":"USD","value_usd":1395},"apc_paid":{"value":1395,"currency":"USD","value_usd":1395},"fwci":2.3467,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.87834167,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":"10","issue":null,"first_page":"e1839","last_page":"e1839"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.0017000000225380063,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/differential-evolution","display_name":"differential evolution","score":0.9359999895095825},{"id":"https://openalex.org/keywords/affinity-propagation","display_name":"affinity propagation","score":0.968999981880188},{"id":"https://openalex.org/keywords/pareto-front","display_name":"Pareto front","score":0.46799999475479126},{"id":"https://openalex.org/keywords/pareto-optimal-solutions","display_name":"Pareto optimal solutions","score":0.8080000281333923},{"id":"https://openalex.org/keywords/crowding-distance","display_name":"crowding distance","score":0.8299999833106995},{"id":"https://openalex.org/keywords/non-dominated-sorting","display_name":"non-dominated sorting","score":0.7900000214576721},{"id":"https://openalex.org/keywords/adaptive-mutation-strategy","display_name":"adaptive mutation strategy","score":0.8600000143051147},{"id":"https://openalex.org/keywords/exploration-exploitation-trade-off","display_name":"exploration-exploitation balance","score":0.7350000143051147},{"id":"https://openalex.org/keywords/cec2020-benchmark-functions","display_name":"CEC2020 benchmark functions","score":0.7799999713897705},{"id":"https://openalex.org/keywords/solution-diversity","display_name":"solution diversity","score":0.41100001335144043}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.695135772228241},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6569327712059021},{"id":"https://openalex.org/C74750220","wikidata":"https://www.wikidata.org/wiki/Q2662197","display_name":"Differential evolution","level":2,"score":0.6260381937026978},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.604636013507843},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.5663263201713562},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5572274923324585},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.5520949363708496},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.464401513338089},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.45876187086105347},{"id":"https://openalex.org/C135320971","wikidata":"https://www.wikidata.org/wiki/Q1868524","display_name":"Local search (optimization)","level":2,"score":0.45832645893096924},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4344099760055542},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4342089593410492},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.4276712238788605},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4027749300003052},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3805446922779083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17215988039970398},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.7717/peerj-cs.1839","doi":"https://doi.org/10.7717/peerj-cs.1839","is_oa":true,"landing_page_url":"https://doi.org/10.7717/peerj-cs.1839","pdf_url":"https://peerj.com/articles/cs-1839.pdf","source":{"id":"https://openalex.org/S4210178049","display_name":"PeerJ Computer Science","issn_l":"2376-5992","issn":["2376-5992"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","ki-jl-1","norway-1","oarl","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320104","host_organization_name":"PeerJ, Inc.","host_organization_lineage":["https://openalex.org/P4310320104"],"host_organization_lineage_names":["PeerJ, Inc."],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PeerJ Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:11041989","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11041989","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11041989/pdf/peerj-cs-10-1839.pdf","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,"listed_in":[],"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PeerJ Comput Sci","raw_type":"Text"},{"id":"pmid:38660209","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38660209","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,"listed_in":[],"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":"PeerJ. Computer science","raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:88c8a5179bb44ee3940bcb51facd26be","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/88c8a5179bb44ee3940bcb51facd26be","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,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PeerJ Computer Science, Vol 10, p e1839 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.7717/peerj-cs.1839","doi":"https://doi.org/10.7717/peerj-cs.1839","is_oa":true,"landing_page_url":"https://doi.org/10.7717/peerj-cs.1839","pdf_url":"https://peerj.com/articles/cs-1839.pdf","source":{"id":"https://openalex.org/S4210178049","display_name":"PeerJ Computer Science","issn_l":"2376-5992","issn":["2376-5992"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","ki-jl-1","norway-1","oarl","poland-70","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320104","host_organization_name":"PeerJ, Inc.","host_organization_lineage":["https://openalex.org/P4310320104"],"host_organization_lineage_names":["PeerJ, Inc."],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PeerJ Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392816168.pdf","grobid_xml":"https://content.openalex.org/works/W4392816168.grobid-xml"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W130541378","https://openalex.org/W1585939719","https://openalex.org/W1595159159","https://openalex.org/W1595498733","https://openalex.org/W1879678483","https://openalex.org/W1907005258","https://openalex.org/W1968005908","https://openalex.org/W2011150423","https://openalex.org/W2011594838","https://openalex.org/W2022485595","https://openalex.org/W2105511939","https://openalex.org/W2116961716","https://openalex.org/W2126105956","https://openalex.org/W2143381319","https://openalex.org/W2150046657","https://openalex.org/W2152100799","https://openalex.org/W2153654820","https://openalex.org/W2158320871","https://openalex.org/W2165232124","https://openalex.org/W2494342076","https://openalex.org/W2540412184","https://openalex.org/W2551386518","https://openalex.org/W2558610617","https://openalex.org/W2564330218","https://openalex.org/W2758008099","https://openalex.org/W2808442772","https://openalex.org/W2895656310","https://openalex.org/W2899519149","https://openalex.org/W2933307200","https://openalex.org/W2967905217","https://openalex.org/W2967906665","https://openalex.org/W2970233104","https://openalex.org/W2971217618","https://openalex.org/W2977166605","https://openalex.org/W3025700947","https://openalex.org/W3043065261","https://openalex.org/W3046910774","https://openalex.org/W3083895739","https://openalex.org/W3087921643","https://openalex.org/W3088414233","https://openalex.org/W3091309063","https://openalex.org/W3094311502","https://openalex.org/W3107032938","https://openalex.org/W3107730271","https://openalex.org/W3110021937","https://openalex.org/W3115451135","https://openalex.org/W3121007880","https://openalex.org/W3125918112","https://openalex.org/W3126574005","https://openalex.org/W3126950353","https://openalex.org/W3193920107","https://openalex.org/W3194943928","https://openalex.org/W3211738833","https://openalex.org/W4205731722","https://openalex.org/W4214886519","https://openalex.org/W4221017723","https://openalex.org/W4223535192","https://openalex.org/W4226038324","https://openalex.org/W4241727697","https://openalex.org/W4244125173","https://openalex.org/W4252684946","https://openalex.org/W4281258733","https://openalex.org/W4293057368","https://openalex.org/W4307029591","https://openalex.org/W4308740987","https://openalex.org/W4311433020","https://openalex.org/W4312708273","https://openalex.org/W4324134948","https://openalex.org/W6635097213"],"related_works":["https://openalex.org/W3094311502","https://openalex.org/W4311433020","https://openalex.org/W4320083170","https://openalex.org/W2899276225","https://openalex.org/W4389731561","https://openalex.org/W2769293273","https://openalex.org/W4399353662","https://openalex.org/W7221525150","https://openalex.org/W4399566514","https://openalex.org/W4319661915"],"abstract_inverted_index":{"Multi-modal":[0,48],"multi-objective":[1,49],"problems":[2,13],"(MMOPs)":[3],"have":[4,14],"gained":[5],"much":[6],"attention":[7],"during":[8,118],"the":[9,30,47,57,77,80,84,93,105,116,119,134,139,152,158,162,168,182,186,217,229,233,236,250],"last":[10],"decade.":[11],"These":[12],"two":[15,64,230],"or":[16,19],"more":[17],"global":[18,159,240],"local":[20,135,153,238],"Pareto":[21,32,208,241,247,251],"optimal":[22],"sets":[23,209],"(PSs),":[24],"some":[25,177],"of":[26,59,138,151,170,205,207],"which":[27,123],"map":[28],"to":[29,70,91,114,149,181,200,235],"same":[31],"front":[33],"(PF).":[34],"This":[35],"article":[36],"presents":[37],"a":[38,110,144],"new":[39],"affinity":[40,85],"propagation":[41,86],"clustering":[42,87],"(APC)":[43],"method":[44,88],"based":[45],"on":[46,167,196,249],"differential":[50],"evolution":[51,81],"(MMODE)":[52],"algorithm,":[53],"called":[54],"MMODE_AP,":[55],"for":[56,174],"suit":[58,169],"CEC'2020":[60,171],"benchmark":[61,172,197],"functions.":[62],"First,":[63],"adaptive":[65],"mutation":[66],"strategies":[67],"are":[68],"adopted":[69,90],"balance":[71],"exploration":[72],"and":[73,75,100,131,143,155,220,239],"exploitation":[74],"improve":[76],"diversity":[78],"in":[79,96,128,203,216],"process.":[82],"Then,":[83],"is":[89,141,147,165],"define":[92],"crowding":[94,112],"degree":[95],"decision":[97,218],"space":[98,102],"(DS)":[99],"objective":[101,221],"(OS).":[103],"Meanwhile,":[104],"non-dominated":[106],"sorting":[107],"scheme":[108],"incorporates":[109],"particular":[111],"distance":[113],"truncate":[115],"population":[117],"environmental":[120],"selection":[121],"process,":[122],"can":[124,226],"obtain":[125],"well-distributed":[126],"solutions":[127,156,248],"both":[129],"DS":[130],"OS.":[132],"Moreover,":[133],"PF":[136],"membership":[137],"solution":[140],"defined,":[142],"predefined":[145],"parameter":[146],"introduced":[148],"maintain":[150],"PSs":[154],"around":[157],"PS.":[160],"Finally,":[161],"proposed":[163,187,224],"algorithm":[164,189,225],"implemented":[166],"functions":[173,198],"comparison":[175],"with":[176,244],"MMODE":[178],"algorithms.":[179],"According":[180],"experimental":[183],"study":[184],"results,":[185],"MMODE_AP":[188],"has":[190],"about":[191],"20":[192],"better":[193,245],"performance":[194],"results":[195],"compared":[199],"its":[201],"competitors":[202],"terms":[204],"reciprocal":[206],"proximity":[210],"(rPSP),":[211],"inverted":[212],"generational":[213],"distances":[214],"(IGD)":[215],"(IGDX)":[219],"(IGDF).":[222],"The":[223],"efficiently":[227],"achieve":[228],"goals,":[231],"i.e.,":[232],"convergence":[234],"true":[237],"fronts":[242],"along":[243],"distributed":[246],"fronts.":[252]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2024-03-15T00:00:00"}
