{"id":"https://openalex.org/W4200074998","doi":"https://doi.org/10.3390/s21248435","title":"Hyperparameter Optimization Techniques for Designing Software Sensors Based on Artificial Neural Networks","display_name":"Hyperparameter Optimization Techniques for Designing Software Sensors Based on Artificial Neural Networks","publication_year":2021,"publication_date":"2021-12-17","ids":{"openalex":"https://openalex.org/W4200074998","doi":"https://doi.org/10.3390/s21248435","pmid":"https://pubmed.ncbi.nlm.nih.gov/34960528"},"language":"en","primary_location":{"id":"doi:10.3390/s21248435","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21248435","pdf_url":"https://www.mdpi.com/1424-8220/21/24/8435/pdf?version=1639994720","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/24/8435/pdf?version=1639994720","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035946845","display_name":"Sebastian Blume","orcid":"https://orcid.org/0000-0001-6504-0343"},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Blume","raw_affiliation_strings":["Department of Mechanical and Process Engineering, Institute for Mechatronics and System Dynamics, University of Duisburg-Essen, 47057 Duisburg, Germany"],"raw_orcid":"https://orcid.org/0000-0001-6504-0343","affiliations":[{"raw_affiliation_string":"Department of Mechanical and Process Engineering, Institute for Mechatronics and System Dynamics, University of Duisburg-Essen, 47057 Duisburg, Germany","institution_ids":["https://openalex.org/I62318514"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055489888","display_name":"Tim Benedens","orcid":"https://orcid.org/0000-0002-5048-8150"},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tim Benedens","raw_affiliation_strings":["Department of Mechanical and Process Engineering, Institute for Mechatronics and System Dynamics, University of Duisburg-Essen, 47057 Duisburg, Germany"],"raw_orcid":"https://orcid.org/0000-0002-5048-8150","affiliations":[{"raw_affiliation_string":"Department of Mechanical and Process Engineering, Institute for Mechatronics and System Dynamics, University of Duisburg-Essen, 47057 Duisburg, Germany","institution_ids":["https://openalex.org/I62318514"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021650598","display_name":"Dieter Schramm","orcid":"https://orcid.org/0000-0002-7945-1853"},"institutions":[{"id":"https://openalex.org/I62318514","display_name":"University of Duisburg-Essen","ror":"https://ror.org/04mz5ra38","country_code":"DE","type":"education","lineage":["https://openalex.org/I62318514"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Dieter Schramm","raw_affiliation_strings":["Department of Mechanical and Process Engineering, Institute for Mechatronics and System Dynamics, University of Duisburg-Essen, 47057 Duisburg, Germany"],"raw_orcid":"https://orcid.org/0000-0002-7945-1853","affiliations":[{"raw_affiliation_string":"Department of Mechanical and Process Engineering, Institute for Mechatronics and System Dynamics, University of Duisburg-Essen, 47057 Duisburg, Germany","institution_ids":["https://openalex.org/I62318514"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5021650598"],"corresponding_institution_ids":["https://openalex.org/I62318514"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":1180,"currency":"EUR","value_usd":1272},"fwci":1.5342,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.82202713,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"21","issue":"24","first_page":"8435","last_page":"8435"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12810","display_name":"Real-time simulation and control systems","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.8769223690032959},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.7838189601898193},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.6872941255569458},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6268681883811951},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6213230490684509},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5839528441429138},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5210168361663818},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5121545791625977},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.48580431938171387},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48346003890037537},{"id":"https://openalex.org/keywords/randomness","display_name":"Randomness","score":0.45480746030807495},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.42225778102874756},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4156450033187866},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.1238720715045929},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09804120659828186}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.8769223690032959},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.7838189601898193},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.6872941255569458},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6268681883811951},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6213230490684509},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5839528441429138},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5210168361663818},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5121545791625977},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.48580431938171387},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48346003890037537},{"id":"https://openalex.org/C125112378","wikidata":"https://www.wikidata.org/wiki/Q176640","display_name":"Randomness","level":2,"score":0.45480746030807495},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.42225778102874756},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4156450033187866},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.1238720715045929},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09804120659828186},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":6,"locations":[{"id":"doi:10.3390/s21248435","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21248435","pdf_url":"https://www.mdpi.com/1424-8220/21/24/8435/pdf?version=1639994720","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:34960528","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34960528","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:12e42c25c3364875a758ece74eae7e32","is_oa":true,"landing_page_url":"https://doaj.org/article/12e42c25c3364875a758ece74eae7e32","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 21, Iss 24, p 8435 (2021)","raw_type":"article"},{"id":"pmh:oai:duepublico2.uni-due.de:duepublico_mods_00076362","is_oa":true,"landing_page_url":"https://nbn-resolving.org/urn:nbn:de:hbz:465-20220801-082551-4","pdf_url":null,"source":{"id":"https://openalex.org/S4306400212","display_name":"DuEPublico (University of Duisburg-Essen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I62318514","host_organization_name":"University of Duisburg-Essen","host_organization_lineage":["https://openalex.org/I62318514"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/24/8435/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21248435","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 21; Issue 24; Pages: 8435","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:8707640","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8707640","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21248435","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21248435","pdf_url":"https://www.mdpi.com/1424-8220/21/24/8435/pdf?version=1639994720","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320325052","display_name":"Universit\u00e4t Duisburg-Essen","ror":"https://ror.org/04mz5ra38"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4200074998.pdf","grobid_xml":"https://content.openalex.org/works/W4200074998.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W1575029535","https://openalex.org/W1659842140","https://openalex.org/W1822588171","https://openalex.org/W2064675550","https://openalex.org/W2067042986","https://openalex.org/W2096962445","https://openalex.org/W2107751004","https://openalex.org/W2111351689","https://openalex.org/W2123743615","https://openalex.org/W2157331557","https://openalex.org/W2210969396","https://openalex.org/W2556522401","https://openalex.org/W2571611344","https://openalex.org/W2886216548","https://openalex.org/W2903569991","https://openalex.org/W2964007901","https://openalex.org/W2989848042","https://openalex.org/W2990507952","https://openalex.org/W3038191277","https://openalex.org/W3093382133","https://openalex.org/W4213308398","https://openalex.org/W4243538080","https://openalex.org/W4254648240","https://openalex.org/W6631864531","https://openalex.org/W6638516760","https://openalex.org/W6676179485","https://openalex.org/W6730169791"],"related_works":["https://openalex.org/W3169687406","https://openalex.org/W3206613651","https://openalex.org/W2200000192","https://openalex.org/W4286902601","https://openalex.org/W2395916875","https://openalex.org/W2906178137","https://openalex.org/W2405673391","https://openalex.org/W2963001956","https://openalex.org/W3103707007","https://openalex.org/W2782093256"],"abstract_inverted_index":{"Software":[0],"sensors":[1,14],"are":[2,124,133,148,200],"playing":[3],"an":[4,99],"increasingly":[5],"important":[6],"role":[7],"in":[8,181,227],"current":[9],"vehicle":[10],"development.":[11],"Such":[12],"soft":[13],"can":[15],"be":[16],"based":[17,28,97,107,137],"on":[18,29,34,58,98,108,139],"both":[19],"physical":[20],"modeling":[21,26],"and":[22,69,131,144,176],"data-based":[23],"modeling.":[24],"Data-driven":[25],"is":[27,43,105,191,208],"building":[30],"a":[31,54,93,109,186],"model":[32],"purely":[33,138],"captured":[35],"data":[36,112,179],"which":[37],"means":[38],"that":[39,210],"no":[40],"system":[41],"knowledge":[42],"required":[44],"for":[45,89,126,161,193],"the":[46,49,59,62,67,70,74,82,90,127,145,167,173,177,182,194,203,211,220],"application.":[47,229],"At":[48],"same":[50],"time,":[51],"hyperparameters":[52],"have":[53],"particularly":[55],"large":[56],"influence":[57,66],"quality":[60],"of":[61,73,84,92,166,172],"model.":[63],"These":[64],"parameters":[65],"architecture":[68],"training":[71,174,195],"process":[72,153,175],"machine":[75],"learning":[76],"algorithm.":[77],"This":[78],"paper":[79],"deals":[80],"with":[81,115],"comparison":[83,104],"different":[85,121],"hyperparameter":[86],"optimization":[87,122,163],"methods":[88,123,136,164,199,213],"design":[91],"roll":[94],"angle":[95],"estimator":[96],"artificial":[100],"neural":[101],"network.":[102],"The":[103,158],"drawn":[106],"pre-generated":[110],"simulation":[111],"set":[113],"created":[114],"ISO":[116],"standard":[117],"driving":[118],"maneuvers.":[119],"Four":[120],"used":[125],"comparison.":[128],"Random":[129],"Search":[130],"Hyperband":[132],"two":[134],"similar":[135],"randomness,":[140],"whereas":[141],"Bayesian":[142],"Optimization":[143],"genetic":[146],"algorithm":[147],"knowledge-based":[149,212],"methods,":[150],"i.e.,":[151],"they":[152],"information":[154],"from":[155],"previous":[156],"iterations.":[157],"objective":[159],"function":[160],"all":[162,198],"consists":[165],"root":[168],"mean":[169],"square":[170],"error":[171],"reference":[178],"generated":[180],"simulation.":[183],"To":[184],"guarantee":[185],"meaningful":[187],"result,":[188],"k-fold":[189],"cross-validation":[190],"integrated":[192],"process.":[196],"Finally,":[197],"applied":[201],"to":[202,215,224],"predefined":[204],"parameter":[205],"space.":[206],"It":[207],"shown":[209],"lead":[214],"better":[216],"results.":[217],"In":[218],"particular,":[219],"Genetic":[221],"Algorithm":[222],"leads":[223],"promising":[225],"solutions":[226],"this":[228]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":6}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}