{"id":"https://openalex.org/W2906115061","doi":"https://doi.org/10.1109/tcyb.2018.2883914","title":"Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling","display_name":"Guiding Evolutionary Multiobjective Optimization With Generic Front Modeling","publication_year":2018,"publication_date":"2018-12-18","ids":{"openalex":"https://openalex.org/W2906115061","doi":"https://doi.org/10.1109/tcyb.2018.2883914","mag":"2906115061","pmid":"https://pubmed.ncbi.nlm.nih.gov/30575553"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2018.2883914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2018.2883914","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5058755242","display_name":"Ye Tian","orcid":"https://orcid.org/0000-0002-3487-5126"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Tian","raw_affiliation_strings":["Institute of Physical Science and Information Technology, Anhui University, Hefei"],"raw_orcid":"https://orcid.org/0000-0002-3487-5126","affiliations":[{"raw_affiliation_string":"Institute of Physical Science and Information Technology, Anhui University, Hefei","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028634381","display_name":"Xingyi Zhang","orcid":"https://orcid.org/0000-0002-5052-000X"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingyi Zhang","raw_affiliation_strings":["Institute of Bio-Inspired Intelligence and Mining Knowledge, School of Computer Science and Technology, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-5052-000X","affiliations":[{"raw_affiliation_string":"Institute of Bio-Inspired Intelligence and Mining Knowledge, School of Computer Science and Technology, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004036087","display_name":"Ran Cheng","orcid":"https://orcid.org/0000-0001-9410-8263"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ran Cheng","raw_affiliation_strings":["Shenzhen Key Laboratory of Computational Intelligence, University Key Laboratory of Evolving Intelligent Systems of Guangdong Province, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-9410-8263","affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Computational Intelligence, University Key Laboratory of Evolving Intelligent Systems of Guangdong Province, Shenzhen, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330330","display_name":"Cheng He","orcid":"https://orcid.org/0000-0003-4218-8454"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng He","raw_affiliation_strings":["Shenzhen Key Laboratory of Computational Intelligence, University Key Laboratory of Evolving Intelligent Systems of Guangdong Province, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-4218-8454","affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of Computational Intelligence, University Key Laboratory of Evolving Intelligent Systems of Guangdong Province, Shenzhen, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032314861","display_name":"Yaochu Jin","orcid":"https://orcid.org/0000-0003-1100-0631"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]},{"id":"https://openalex.org/I3045169105","display_name":"Southern University of Science and Technology","ror":"https://ror.org/049tv2d57","country_code":"CN","type":"education","lineage":["https://openalex.org/I3045169105"]}],"countries":["CN","GB"],"is_corresponding":false,"raw_author_name":"Yaochu Jin","raw_affiliation_strings":["Southern University of Science and Technology, Shenzhen, China","University of Surrey, Guildford, U.K"],"raw_orcid":"https://orcid.org/0000-0003-1100-0631","affiliations":[{"raw_affiliation_string":"Southern University of Science and Technology, Shenzhen, China","institution_ids":["https://openalex.org/I3045169105"]},{"raw_affiliation_string":"University of Surrey, Guildford, U.K","institution_ids":["https://openalex.org/I28290843"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.7431,"has_fulltext":false,"cited_by_count":94,"citation_normalized_percentile":{"value":0.95912819,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"50","issue":"3","first_page":"1106","last_page":"1119"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9940999746322632,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9923999905586243,"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/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.8618936538696289},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.7341939806938171},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7276322841644287},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.708156943321228},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6266471147537231},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.553810715675354},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5481259822845459},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.49569714069366455},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4885028600692749},{"id":"https://openalex.org/keywords/simplex","display_name":"Simplex","score":0.4878690242767334},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46210938692092896},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.453839510679245},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3681851625442505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22612279653549194},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0815986692905426}],"concepts":[{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.8618936538696289},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.7341939806938171},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7276322841644287},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.708156943321228},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6266471147537231},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.553810715675354},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5481259822845459},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.49569714069366455},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4885028600692749},{"id":"https://openalex.org/C62438384","wikidata":"https://www.wikidata.org/wiki/Q331350","display_name":"Simplex","level":2,"score":0.4878690242767334},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46210938692092896},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.453839510679245},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3681851625442505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22612279653549194},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0815986692905426},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/tcyb.2018.2883914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2018.2883914","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:30575553","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30575553","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":"IEEE transactions on cybernetics","raw_type":null},{"id":"pmh:oai:alma.44SUR_INST:11139520420002346","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:epubs.surrey.ac.uk:849944","is_oa":false,"landing_page_url":"http://epubs.surrey.ac.uk/849944/1/Guiding%20Evolutionary%20Multi-Objective%20Optimization%20with%20Generic%20Front%20Modeling.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400680","display_name":"Surrey Research Insight Open Access (The University of Surrey)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28290843","host_organization_name":"University of Surrey","host_organization_lineage":["https://openalex.org/I28290843"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:pub.uni-bielefeld.de:2978407","is_oa":false,"landing_page_url":"https://pub.uni-bielefeld.de/record/2978407","pdf_url":null,"source":{"id":"https://openalex.org/S4306401671","display_name":"PUB \u2013 Publications at Bielefeld University (Bielefeld University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20121455","host_organization_name":"Bielefeld University","host_organization_lineage":["https://openalex.org/I20121455"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"http://purl.org/coar/resource_type/c_6501"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.5799999833106995}],"awards":[{"id":"https://openalex.org/G1591254444","display_name":null,"funder_award_id":"61822301","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2494574696","display_name":"\u57fa\u4e8e\u8109\u51b2\u795e\u7ecf\u819c\u7cfb\u7edf\u7684\u6545\u969c\u8bca\u65ad\u6a21\u578b\u7814\u7a76","funder_award_id":"61672033","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3814908347","display_name":null,"funder_award_id":"KQTD2016112514355531","funder_id":"https://openalex.org/F4320335790","funder_display_name":"Shenzhen Peacock Plan"},{"id":"https://openalex.org/G3932071694","display_name":null,"funder_award_id":"1808085J06","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G5632676598","display_name":"Data-Driven Surrogate-Assisted Evolutionary Fluid Dynamic Optimisation","funder_award_id":"EP/M017869/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G5746312727","display_name":null,"funder_award_id":"61502004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7895016446","display_name":null,"funder_award_id":"61502001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8448577284","display_name":null,"funder_award_id":"EP/M017869/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null},{"id":"https://openalex.org/F4320335790","display_name":"Shenzhen Peacock Plan","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W138500685","https://openalex.org/W1522538275","https://openalex.org/W1588375755","https://openalex.org/W1595498733","https://openalex.org/W1607104331","https://openalex.org/W1662894842","https://openalex.org/W1833634424","https://openalex.org/W2020320008","https://openalex.org/W2022485595","https://openalex.org/W2023685757","https://openalex.org/W2025822274","https://openalex.org/W2038420231","https://openalex.org/W2049862811","https://openalex.org/W2067544246","https://openalex.org/W2072661909","https://openalex.org/W2080467634","https://openalex.org/W2085507535","https://openalex.org/W2098907614","https://openalex.org/W2102365077","https://openalex.org/W2103476212","https://openalex.org/W2108968575","https://openalex.org/W2116961716","https://openalex.org/W2125899728","https://openalex.org/W2126105956","https://openalex.org/W2130129690","https://openalex.org/W2133787071","https://openalex.org/W2137583606","https://openalex.org/W2143185749","https://openalex.org/W2143381319","https://openalex.org/W2146446525","https://openalex.org/W2149316175","https://openalex.org/W2153654820","https://openalex.org/W2155482699","https://openalex.org/W2236623899","https://openalex.org/W2276739600","https://openalex.org/W2342632173","https://openalex.org/W2343601797","https://openalex.org/W2344916885","https://openalex.org/W2466060750","https://openalex.org/W2469950730","https://openalex.org/W2510493362","https://openalex.org/W2513211214","https://openalex.org/W2570235502","https://openalex.org/W2583230990","https://openalex.org/W2599937626","https://openalex.org/W2604540094","https://openalex.org/W2750985671","https://openalex.org/W2751605210","https://openalex.org/W2758271972","https://openalex.org/W2764251381","https://openalex.org/W2765722058","https://openalex.org/W2897783557","https://openalex.org/W2963523343","https://openalex.org/W6631460888","https://openalex.org/W6679135266"],"related_works":["https://openalex.org/W2090178682","https://openalex.org/W4241467429","https://openalex.org/W2001591765","https://openalex.org/W2906115061","https://openalex.org/W2977596624","https://openalex.org/W2073147994","https://openalex.org/W2145877535","https://openalex.org/W1588199609","https://openalex.org/W2384474142","https://openalex.org/W2022485595"],"abstract_inverted_index":{"In":[0],"evolutionary":[1,27,53,114],"multiobjective":[2,26,54,146],"optimization,":[3,55],"the":[4,34,57,60,72,75,85,94,100,106,137],"Pareto":[5],"front":[6,49,62],"(PF)":[7],"is":[8,63,109],"approximated":[9],"by":[10,65,93],"using":[11],"a":[12,47,67,117,143],"set":[13],"of":[14,36,59,74,120,126,131,145],"representative":[15],"candidate":[16],"solutions":[17],"with":[18,38,111,123],"good":[19],"convergence":[20],"and":[21,88,128],"diversity.":[22],"However,":[23],"most":[24],"existing":[25],"algorithms":[28,115],"(MOEAs)":[29],"have":[30],"general":[31],"difficulty":[32],"in":[33],"approximation":[35],"PFs":[37,127],"complicated":[39],"geometries.":[40],"To":[41],"address":[42],"this":[43],"issue,":[44],"we":[45,78],"propose":[46],"generic":[48],"modeling":[50],"method":[51],"for":[52],"where":[56,83],"shape":[58],"nondominated":[61,96],"estimated":[64,76],"training":[66],"generalized":[68],"simplex":[69],"model.":[70],"On":[71],"basis":[73],"front,":[77],"further":[79],"develop":[80],"an":[81],"MOEA,":[82],"both":[84],"mating":[86],"selection":[87,90],"environmental":[89],"are":[91],"driven":[92],"approximate":[95],"fronts":[97],"modeled":[98],"during":[99],"optimization":[101,147],"process.":[102],"For":[103],"performance":[104],"assessment,":[105],"proposed":[107,138],"algorithm":[108,139],"compared":[110],"several":[112],"state-of-the-art":[113],"on":[116,142],"wide":[118],"range":[119],"benchmark":[121],"problems":[122],"various":[124],"types":[125],"different":[129],"numbers":[130],"objectives.":[132],"Experimental":[133],"results":[134],"demonstrate":[135],"that":[136],"performs":[140],"consistently":[141],"variety":[144],"problems.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}