{"id":"https://openalex.org/W4210327430","doi":"https://doi.org/10.3390/app12031186","title":"Simple Deterministic Selection-Based Genetic Algorithm for Hyperparameter Tuning of Machine Learning Models","display_name":"Simple Deterministic Selection-Based Genetic Algorithm for Hyperparameter Tuning of Machine Learning Models","publication_year":2022,"publication_date":"2022-01-24","ids":{"openalex":"https://openalex.org/W4210327430","doi":"https://doi.org/10.3390/app12031186"},"language":"en","primary_location":{"id":"doi:10.3390/app12031186","doi":"https://doi.org/10.3390/app12031186","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app12031186","pdf_url":"https://www.mdpi.com/2076-3417/12/3/1186/pdf?version=1643011769","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2076-3417/12/3/1186/pdf?version=1643011769","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037355923","display_name":"Ismail Damilola Raji","orcid":"https://orcid.org/0000-0001-6567-4506","observed_orcids":["https://orcid.org/0000-0001-6567-4506"]},"institutions":[{"id":"https://openalex.org/I12789410","display_name":"Ahmadu Bello University","ror":"https://ror.org/019apvn83","country_code":"NG","type":"education","lineage":["https://openalex.org/I12789410"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Ismail Damilola Raji","raw_affiliation_strings":["Department of Computer Engineering, Ahmadu Bello University, Zaria 810107, Nigeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Ahmadu Bello University, Zaria 810107, Nigeria","institution_ids":["https://openalex.org/I12789410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007184931","display_name":"Habeeb Bello-Salau","orcid":"https://orcid.org/0000-0001-9207-8670","observed_orcids":["https://orcid.org/0000-0001-9207-8670"]},"institutions":[{"id":"https://openalex.org/I12789410","display_name":"Ahmadu Bello University","ror":"https://ror.org/019apvn83","country_code":"NG","type":"education","lineage":["https://openalex.org/I12789410"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Habeeb Bello-Salau","raw_affiliation_strings":["Department of Computer Engineering, Ahmadu Bello University, Zaria 810107, Nigeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Ahmadu Bello University, Zaria 810107, Nigeria","institution_ids":["https://openalex.org/I12789410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110335991","display_name":"Ime Jarlath Umoh","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I12789410","display_name":"Ahmadu Bello University","ror":"https://ror.org/019apvn83","country_code":"NG","type":"education","lineage":["https://openalex.org/I12789410"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Ime Jarlath Umoh","raw_affiliation_strings":["Department of Computer Engineering, Ahmadu Bello University, Zaria 810107, Nigeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Ahmadu Bello University, Zaria 810107, Nigeria","institution_ids":["https://openalex.org/I12789410"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039527755","display_name":"Adeiza James Onumanyi","orcid":"https://orcid.org/0000-0002-0166-0786","observed_orcids":["https://orcid.org/0000-0002-0166-0786"]},"institutions":[{"id":"https://openalex.org/I21360634","display_name":"Council for Scientific and Industrial Research","ror":"https://ror.org/05j00sr48","country_code":"ZA","type":"government","lineage":["https://openalex.org/I21360634"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Adeiza James Onumanyi","raw_affiliation_strings":["Advanced Internet of Things, Next, Generation Enterprises and Institutions, Council for Scientific and Industrial Research, Pretoria 0001, South Africa"],"raw_orcid":"https://orcid.org/0000-0002-0166-0786","affiliations":[{"raw_affiliation_string":"Advanced Internet of Things, Next, Generation Enterprises and Institutions, Council for Scientific and Industrial Research, Pretoria 0001, South Africa","institution_ids":["https://openalex.org/I21360634"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072912076","display_name":"Mutiu Adesina Adegboye","orcid":"https://orcid.org/0000-0003-3053-986X","observed_orcids":["https://orcid.org/0000-0003-3053-986X"]},"institutions":[{"id":"https://openalex.org/I522815984","display_name":"Robert Gordon University","ror":"https://ror.org/04f0qj703","country_code":"GB","type":"education","lineage":["https://openalex.org/I522815984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Mutiu Adesina Adegboye","raw_affiliation_strings":["Communications and Autonomous Systems Group, Robert Gordon University, Aberdeen AB10 7GJ, UK"],"raw_orcid":"https://orcid.org/0000-0003-3053-986X","affiliations":[{"raw_affiliation_string":"Communications and Autonomous Systems Group, Robert Gordon University, Aberdeen AB10 7GJ, UK","institution_ids":["https://openalex.org/I522815984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011959052","display_name":"Ahmed Tijani Salawudeen","orcid":"https://orcid.org/0000-0002-3677-2104","observed_orcids":["https://orcid.org/0000-0002-3677-2104"]},"institutions":[{"id":"https://openalex.org/I161374704","display_name":"University of Jos","ror":"https://ror.org/009kx9832","country_code":"NG","type":"education","lineage":["https://openalex.org/I161374704"]}],"countries":["NG"],"is_corresponding":false,"raw_author_name":"Ahmed Tijani Salawudeen","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, University of Jos, Jos 930222, Nigeria"],"raw_orcid":"https://orcid.org/0000-0002-3677-2104","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, University of Jos, Jos 930222, Nigeria","institution_ids":["https://openalex.org/I161374704"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072912076"],"corresponding_institution_ids":["https://openalex.org/I522815984"],"apc_list":{"value":2300,"currency":"CHF","value_usd":2408},"apc_paid":{"value":2300,"currency":"CHF","value_usd":2408},"fwci":5.0941,"has_fulltext":true,"cited_by_count":98,"citation_normalized_percentile":{"value":0.96748114,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"12","issue":"3","first_page":"1186","last_page":"1186"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9779999852180481,"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"}},"topics":[{"id":"https://openalex.org/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9779999852180481,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.013299999758601189,"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":0.005499999970197678,"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/hyperparameter-optimization","display_name":"hyperparameter optimization","score":0.9710000157356262},{"id":"https://openalex.org/keywords/elitist-selection","display_name":"elitist selection","score":0.9580000042915344},{"id":"https://openalex.org/keywords/metaheuristic-optimization","display_name":"metaheuristic optimization","score":0.8309999704360962},{"id":"https://openalex.org/keywords/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.828000009059906},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.9419999718666077},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.6489999890327454},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"particle swarm optimization","score":0.9700000286102295},{"id":"https://openalex.org/keywords/biogeography-based-optimization","display_name":"biogeography-based optimization","score":0.9990000128746033},{"id":"https://openalex.org/keywords/benchmark-functions","display_name":"benchmark functions","score":0.6520000100135803},{"id":"https://openalex.org/keywords/mnist-classification","display_name":"MNIST classification","score":0.8080000281333923}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.87549889087677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.665501594543457},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.6454824805259705},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5680121779441833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5254991054534912},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4782518446445465},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.46889013051986694},{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.45390406250953674},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.4509375989437103},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4420175552368164},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43960919976234436},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4315633773803711},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.4201487898826599},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3589264750480652},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35091671347618103},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17221763730049133},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.07800588011741638},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/app12031186","doi":"https://doi.org/10.3390/app12031186","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app12031186","pdf_url":"https://www.mdpi.com/2076-3417/12/3/1186/pdf?version=1643011769","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},{"id":"pmh:oai:https://rgu-repository.worktribe.com/:1580650","doi":null,"is_oa":true,"landing_page_url":"https://rgu-repository.worktribe.com/output/1580650","pdf_url":"https://rgu-repository.worktribe.com/file/1580650/1/RAJI%202022%20Simple%20deterministic%20selection%20%28VOR%29","source":{"id":"https://openalex.org/S4306400814","display_name":"Open Access Institutional Repository at Robert Gordon University (Robert Gordon University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I522815984","host_organization_name":"Robert Gordon University","host_organization_lineage":["https://openalex.org/I522815984"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal Article"},{"id":"pmh:oai:doaj.org/article:d5fac1342b054e4eba49a6755d67e682","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/d5fac1342b054e4eba49a6755d67e682","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":"Applied Sciences, Vol 12, Iss 3, p 1186 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/app12031186","doi":"https://doi.org/10.3390/app12031186","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app12031186","pdf_url":"https://www.mdpi.com/2076-3417/12/3/1186/pdf?version=1643011769","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","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/W4210327430.pdf","grobid_xml":"https://content.openalex.org/works/W4210327430.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W13188192","https://openalex.org/W1575029535","https://openalex.org/W1972978393","https://openalex.org/W1982147649","https://openalex.org/W1986490585","https://openalex.org/W2002731955","https://openalex.org/W2004670864","https://openalex.org/W2015776612","https://openalex.org/W2016023958","https://openalex.org/W2025138869","https://openalex.org/W2046938271","https://openalex.org/W2097998348","https://openalex.org/W2102539288","https://openalex.org/W2106411961","https://openalex.org/W2110390205","https://openalex.org/W2112796928","https://openalex.org/W2131241448","https://openalex.org/W2152195021","https://openalex.org/W2168081761","https://openalex.org/W2189149359","https://openalex.org/W2344075909","https://openalex.org/W2518010140","https://openalex.org/W2585240214","https://openalex.org/W2587014634","https://openalex.org/W2608595939","https://openalex.org/W2734383650","https://openalex.org/W2735913953","https://openalex.org/W2747680751","https://openalex.org/W2757741958","https://openalex.org/W2772089072","https://openalex.org/W2782093256","https://openalex.org/W2912548817","https://openalex.org/W2945790622","https://openalex.org/W2963815651","https://openalex.org/W2964024268","https://openalex.org/W2967663220","https://openalex.org/W2976182793","https://openalex.org/W2979513031","https://openalex.org/W2993035901","https://openalex.org/W3011655242","https://openalex.org/W3012023297","https://openalex.org/W3012330071","https://openalex.org/W3103370507","https://openalex.org/W3108242978","https://openalex.org/W3108731616","https://openalex.org/W3127180188","https://openalex.org/W3139250374","https://openalex.org/W3200110661"],"related_works":["https://openalex.org/W4312193761","https://openalex.org/W1888136415","https://openalex.org/W7220349302","https://openalex.org/W7128182458","https://openalex.org/W4312198775","https://openalex.org/W2945829261","https://openalex.org/W4368227959","https://openalex.org/W4413392703","https://openalex.org/W4417509316","https://openalex.org/W7167408335"],"abstract_inverted_index":{"Hyperparameter":[0],"tuning":[1],"is":[2,18,78,105],"a":[3,69,89,96,98,140],"critical":[4],"function":[5],"necessary":[6,80],"for":[7,47],"the":[8,22,49,57,125,137,152,161,167,175,189,202,220,225,232,243,246,259],"effective":[9],"deployment":[10],"of":[11,26,51,59,72,92,142,154,188,231,245,256],"most":[12,64],"machine":[13,157],"learning":[14,158],"(ML)":[15],"algorithms.":[16,214],"It":[17,146],"used":[19,149],"to":[20,32,81,150,186,266],"find":[21],"optimal":[23],"hyperparameter":[24],"settings":[25],"an":[27,83,132],"ML":[28,53,65,248],"algorithm":[29,103,128,204],"in":[30,56,107,124,131,228,238,254],"order":[31],"improve":[33],"its":[34],"overall":[35],"output":[36],"performance.":[37],"To":[38],"this":[39,108],"effect,":[40],"several":[41],"optimization":[42,84,198,208,212],"strategies":[43],"have":[44],"been":[45],"studied":[46],"fine-tuning":[48],"hyperparameters":[50,153,244],"many":[52],"algorithms,":[54],"especially":[55],"absence":[58],"model-specific":[60],"information.":[61],"However,":[62],"because":[63],"training":[66],"procedures":[67],"need":[68],"significant":[70],"amount":[71],"computational":[73],"time":[74,265],"and":[75,119,166,177,193,210],"memory,":[76],"it":[77,250],"frequently":[79],"build":[82],"technique":[85],"that":[86,116,187,219],"converges":[87],"within":[88],"small":[90],"number":[91],"fitness":[93,122],"evaluations.":[94],"As":[95],"result,":[97],"simple":[99],"deterministic":[100],"selection":[101],"genetic":[102,127,203],"(SDSGA)":[104],"proposed":[106],"article.":[109],"The":[110,181,215],"SDSGA":[111,138,221],"was":[112,147,184],"realized":[113],"by":[114],"ensuring":[115],"both":[117],"chromosomes":[118],"their":[120],"accompanying":[121],"values":[123],"original":[126],"are":[129],"selected":[130],"elitist-like":[133],"way.":[134],"We":[135],"assessed":[136],"over":[139],"variety":[141],"mathematical":[143],"test":[144],"functions.":[145],"then":[148],"optimize":[151],"two":[155,247],"well-known":[156],"models,":[159,249],"namely,":[160,201],"convolutional":[162],"neural":[163],"network":[164],"(CNN)":[165],"random":[168],"forest":[169],"(RF)":[170],"algorithm,":[171],"with":[172],"application":[173],"on":[174],"MNIST":[176],"UCI":[178],"classification":[179],"datasets.":[180],"SDSGA\u2019s":[182],"efficiency":[183],"compared":[185],"Bayesian":[190],"Optimization":[191],"(BO)":[192],"three":[194],"other":[195,226,260],"popular":[196],"metaheuristic":[197],"algorithms":[199],"(MOAs),":[200],"(GA),":[205],"particle":[206],"swarm":[207],"(PSO)":[209],"biogeography-based":[211],"(BBO)":[213],"results":[216],"obtained":[217],"reveal":[218],"performed":[222,251],"better":[223,253],"than":[224,258],"MOAs":[227],"solving":[229],"11":[230],"17":[233],"known":[234],"benchmark":[235],"functions":[236],"considered":[237],"our":[239],"study.":[240],"While":[241],"optimizing":[242],"marginally":[252],"terms":[255],"accuracy":[257],"methods":[261],"while":[262],"taking":[263],"less":[264],"compute.":[267]},"counts_by_year":[{"year":2026,"cited_by_count":21},{"year":2025,"cited_by_count":32},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":5}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2022-02-08T00:00:00"}
