{"id":"https://openalex.org/W4389633709","doi":"https://doi.org/10.1109/access.2023.3342044","title":"A More Flexible and Robust Feature Selection Algorithm","display_name":"A More Flexible and Robust Feature Selection Algorithm","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4389633709","doi":"https://doi.org/10.1109/access.2023.3342044"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3342044","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3342044","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10354309.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10354309.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102746436","display_name":"Tianyi Tu","orcid":"https://orcid.org/0000-0002-9399-7705"},"institutions":[{"id":"https://openalex.org/I196038209","display_name":"Hunan University of Arts and Science","ror":"https://ror.org/01ggnn306","country_code":"CN","type":"education","lineage":["https://openalex.org/I196038209"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianyi Tu","raw_affiliation_strings":["School of Computer and Electrical Engineering, Hunan University of Arts and Science, Changde, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Electrical Engineering, Hunan University of Arts and Science, Changde, China","institution_ids":["https://openalex.org/I196038209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101600830","display_name":"Ye Su","orcid":"https://orcid.org/0009-0001-9275-092X"},"institutions":[{"id":"https://openalex.org/I196038209","display_name":"Hunan University of Arts and Science","ror":"https://ror.org/01ggnn306","country_code":"CN","type":"education","lineage":["https://openalex.org/I196038209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Su","raw_affiliation_strings":["School of Computer and Electrical Engineering, Hunan University of Arts and Science, Changde, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Electrical Engineering, Hunan University of Arts and Science, Changde, China","institution_ids":["https://openalex.org/I196038209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102867266","display_name":"Y. A. Tang","orcid":"https://orcid.org/0000-0003-4601-5868"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I24407930","display_name":"Hunan University of Science and Engineering","ror":"https://ror.org/04ymz0q33","country_code":"CN","type":"education","lineage":["https://openalex.org/I24407930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yayuan Tang","raw_affiliation_strings":["School of Information Engineering, Hunan University of Science and Engineering, Yongzhou, China","School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Hunan University of Science and Engineering, Yongzhou, China","institution_ids":["https://openalex.org/I24407930"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082535316","display_name":"Wenxue Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I196038209","display_name":"Hunan University of Arts and Science","ror":"https://ror.org/01ggnn306","country_code":"CN","type":"education","lineage":["https://openalex.org/I196038209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxue Tan","raw_affiliation_strings":["School of Computer and Electrical Engineering, Hunan University of Arts and Science, Changde, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Electrical Engineering, Hunan University of Arts and Science, Changde, China","institution_ids":["https://openalex.org/I196038209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060879177","display_name":"Sheng Ren","orcid":"https://orcid.org/0000-0002-3597-7124"},"institutions":[{"id":"https://openalex.org/I196038209","display_name":"Hunan University of Arts and Science","ror":"https://ror.org/01ggnn306","country_code":"CN","type":"education","lineage":["https://openalex.org/I196038209"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sheng Ren","raw_affiliation_strings":["School of Computer and Electrical Engineering, Hunan University of Arts and Science, Changde, China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Electrical Engineering, Hunan University of Arts and Science, Changde, China","institution_ids":["https://openalex.org/I196038209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5102746436"],"corresponding_institution_ids":["https://openalex.org/I196038209"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.1665,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.89870802,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"11","issue":null,"first_page":"141512","last_page":"141522"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9975000023841858,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12676","display_name":"Machine Learning and ELM","score":0.9975000023841858,"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/T12368","display_name":"Grey System Theory Applications","score":0.9940000176429749,"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/overfitting","display_name":"Overfitting","score":0.7476783990859985},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7067107558250427},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.689212441444397},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6411097049713135},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5217702984809875},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5176640152931213},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5161827206611633},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4742804169654846},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4524090588092804},{"id":"https://openalex.org/keywords/generalization-error","display_name":"Generalization error","score":0.43555495142936707},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.43024343252182007},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.4205700755119324},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36140525341033936},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3315450847148895},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2691209316253662},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.09578582644462585}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7476783990859985},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7067107558250427},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.689212441444397},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6411097049713135},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5217702984809875},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5176640152931213},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5161827206611633},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4742804169654846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4524090588092804},{"id":"https://openalex.org/C117765406","wikidata":"https://www.wikidata.org/wiki/Q5362437","display_name":"Generalization error","level":3,"score":0.43555495142936707},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.43024343252182007},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.4205700755119324},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36140525341033936},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3315450847148895},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2691209316253662},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.09578582644462585},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3342044","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3342044","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10354309.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:3d26e624b78f431caeab55e6f9931ed3","is_oa":true,"landing_page_url":"https://doaj.org/article/3d26e624b78f431caeab55e6f9931ed3","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 141512-141522 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3342044","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3342044","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10354309.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.5699999928474426}],"awards":[{"id":"https://openalex.org/G1021473241","display_name":null,"funder_award_id":"21B0616","funder_id":"https://openalex.org/F4320333642","funder_display_name":"Scientific Research Foundation of Hunan Provincial Education Department"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2180836652","display_name":null,"funder_award_id":"2022JJ30275","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G2868799056","display_name":null,"funder_award_id":"BSQD02","funder_id":"https://openalex.org/F4320322191","funder_display_name":"Hunan University"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3831407143","display_name":null,"funder_award_id":"62102147","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6911355108","display_name":null,"funder_award_id":"21B0738","funder_id":"https://openalex.org/F4320333642","funder_display_name":"Scientific Research Foundation of Hunan Provincial Education Department"},{"id":"https://openalex.org/G8184914832","display_name":null,"funder_award_id":"2022JJ30424","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8788281131","display_name":null,"funder_award_id":"2022JJ50253","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322191","display_name":"Hunan University","ror":"https://ror.org/05htk5m33"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320333642","display_name":"Scientific Research Foundation of Hunan Provincial Education Department","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389633709.pdf","grobid_xml":"https://content.openalex.org/works/W4389633709.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1495061682","https://openalex.org/W1989540221","https://openalex.org/W2005955994","https://openalex.org/W2006398000","https://openalex.org/W2017337590","https://openalex.org/W2022525371","https://openalex.org/W2043680591","https://openalex.org/W2049751389","https://openalex.org/W2051799084","https://openalex.org/W2074101794","https://openalex.org/W2094243482","https://openalex.org/W2098166271","https://openalex.org/W2113506774","https://openalex.org/W2116224763","https://openalex.org/W2123060977","https://openalex.org/W2130972944","https://openalex.org/W2143347324","https://openalex.org/W2466023328","https://openalex.org/W2549726308","https://openalex.org/W2762488802","https://openalex.org/W2765937321","https://openalex.org/W2928048063","https://openalex.org/W2945306488","https://openalex.org/W2998216295","https://openalex.org/W3019435264","https://openalex.org/W3159590996","https://openalex.org/W3160968216","https://openalex.org/W3189787917","https://openalex.org/W4213269338","https://openalex.org/W4213307346","https://openalex.org/W4226239860","https://openalex.org/W4283762323","https://openalex.org/W4285153913","https://openalex.org/W4286521377","https://openalex.org/W4287092012","https://openalex.org/W4299879865","https://openalex.org/W4309728833","https://openalex.org/W4312686595","https://openalex.org/W4320919696","https://openalex.org/W4321605692","https://openalex.org/W4323066770","https://openalex.org/W4366374303","https://openalex.org/W4380483236","https://openalex.org/W6629652716","https://openalex.org/W6676047094","https://openalex.org/W6680366265","https://openalex.org/W6719473894","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4295122168","https://openalex.org/W3155717344","https://openalex.org/W1770458422","https://openalex.org/W4382239665","https://openalex.org/W4205140086","https://openalex.org/W2243388978","https://openalex.org/W1494709439","https://openalex.org/W69760452","https://openalex.org/W2134396573"],"abstract_inverted_index":{"With":[0],"the":[1,7,19,22,48,51,65,81,87,90,96,127,136,139,149,152,164,176],"rising":[2],"number":[3],"of":[4,9,21,50,83,129,132,138],"actual":[5],"data,":[6,59],"challenges":[8],"huge":[10],"model":[11],"operations":[12],"and":[13,63,71,93,99,113,160,180],"poor":[14],"generalization":[15,111,181],"capacity":[16],"arise,":[17],"making":[18],"selection":[20,36],"right":[23],"feature":[24,35,41,53,166],"set":[25],"a":[26,102,118],"significant":[27],"issue.":[28],"This":[29],"study":[30],"proposes":[31],"ImprovedRFECV,":[32],"an":[33],"enhanced":[34],"approach":[37],"for":[38],"cross-validated":[39],"recursive":[40],"elimination":[42],"(RFECV).":[43],"The":[44,141],"algorithm":[45,154],"first":[46],"increases":[47],"robustness":[49,179],"optimal":[52,157,165],"subset":[54,167],"by":[55],"randomly":[56],"sampling":[57],"different":[58,173],"building":[60],"multiple":[61],"models,":[62],"comparing":[64],"scores.":[66],"Simultaneously,":[67],"L1":[68],"regularization":[69,73],"term":[70,74,92],"L2":[72],"scores":[75],"are":[76],"introduced":[77],"to":[78,109,125,148],"thoroughly":[79],"evaluate":[80],"value":[82],"each":[84],"feature,":[85],"reducing":[86],"influence":[88],"on":[89,163,168],"anti-interference":[91],"further":[94],"improving":[95],"algorithm\u2019s":[97,177],"accuracy":[98],"stability.":[100],"Additionally,":[101],"multi-model":[103],"ensemble":[104],"learning":[105],"framework":[106],"is":[107,123],"utilized":[108],"promote":[110],"ability":[112],"effectively":[114],"prevent":[115],"overfitting.":[116],"Finally,":[117],"both-end":[119],"expansion":[120],"removal":[121],"strategy":[122],"adopted":[124],"solve":[126],"problem":[128],"strong":[130],"covariance":[131],"features":[133,159],"while":[134],"enhancing":[135],"flexibility":[137],"algorithm.":[140],"experimental":[142],"results":[143],"show":[144],"that,":[145],"when":[146],"compared":[147],"RFECV":[150],"algorithm,":[151],"ImprovedRFECV":[153],"obtains":[155],"fewer":[156],"average":[158],"performs":[161],"better":[162],"five":[169,172],"datasets":[170],"from":[171],"domains,":[174],"demonstrating":[175],"high":[178],"ability.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
