{"id":"https://openalex.org/W4387638449","doi":"https://doi.org/10.3390/s23208455","title":"A Study on Wheel Member Condition Recognition Using Machine Learning (Support Vector Machine)","display_name":"A Study on Wheel Member Condition Recognition Using Machine Learning (Support Vector Machine)","publication_year":2023,"publication_date":"2023-10-13","ids":{"openalex":"https://openalex.org/W4387638449","doi":"https://doi.org/10.3390/s23208455","pmid":"https://pubmed.ncbi.nlm.nih.gov/37896551"},"language":"en","primary_location":{"id":"doi:10.3390/s23208455","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s23208455","pdf_url":"https://www.mdpi.com/1424-8220/23/20/8455/pdf","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/1424-8220/23/20/8455/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069566404","display_name":"Jin\u2010Han Lee","orcid":"https://orcid.org/0000-0001-9360-0635"},"institutions":[{"id":"https://openalex.org/I120158604","display_name":"Kunsan National University","ror":"https://ror.org/02yj55q56","country_code":"KR","type":"education","lineage":["https://openalex.org/I120158604"]},{"id":"https://openalex.org/I4210117358","display_name":"Busan Medical Center","ror":"https://ror.org/02csf4f34","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I4210117358"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jin-Han Lee","raw_affiliation_strings":["Busan Transportation Corporation, Busan 47353, Republic of Korea","School of Software Engineering, Kunsan National University, Gunsan 54150, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Busan Transportation Corporation, Busan 47353, Republic of Korea","institution_ids":["https://openalex.org/I4210117358"]},{"raw_affiliation_string":"School of Software Engineering, Kunsan National University, Gunsan 54150, Republic of Korea","institution_ids":["https://openalex.org/I120158604"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040914346","display_name":"J. I. Lee","orcid":"https://orcid.org/0009-0006-8136-8254"},"institutions":[{"id":"https://openalex.org/I120158604","display_name":"Kunsan National University","ror":"https://ror.org/02yj55q56","country_code":"KR","type":"education","lineage":["https://openalex.org/I120158604"]},{"id":"https://openalex.org/I4210117358","display_name":"Busan Medical Center","ror":"https://ror.org/02csf4f34","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I4210117358"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jun-Hee Lee","raw_affiliation_strings":["Busan Transportation Corporation, Busan 47353, Republic of Korea","School of Software Engineering, Kunsan National University, Gunsan 54150, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Busan Transportation Corporation, Busan 47353, Republic of Korea","institution_ids":["https://openalex.org/I4210117358"]},{"raw_affiliation_string":"School of Software Engineering, Kunsan National University, Gunsan 54150, Republic of Korea","institution_ids":["https://openalex.org/I120158604"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111056541","display_name":"Kwang-Su Yun","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117358","display_name":"Busan Medical Center","ror":"https://ror.org/02csf4f34","country_code":"KR","type":"healthcare","lineage":["https://openalex.org/I4210117358"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwang-Su Yun","raw_affiliation_strings":["Busan Transportation Corporation, Busan 47353, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Busan Transportation Corporation, Busan 47353, Republic of Korea","institution_ids":["https://openalex.org/I4210117358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031212894","display_name":"Han Byeol Bae","orcid":"https://orcid.org/0000-0002-3004-1001"},"institutions":[{"id":"https://openalex.org/I120158604","display_name":"Kunsan National University","ror":"https://ror.org/02yj55q56","country_code":"KR","type":"education","lineage":["https://openalex.org/I120158604"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Han Byeol Bae","raw_affiliation_strings":["School of Software Engineering, Kunsan National University, Gunsan 54150, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Kunsan National University, Gunsan 54150, Republic of Korea","institution_ids":["https://openalex.org/I120158604"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100335624","display_name":"Sun Young Kim","orcid":"https://orcid.org/0000-0002-6189-0268"},"institutions":[{"id":"https://openalex.org/I120158604","display_name":"Kunsan National University","ror":"https://ror.org/02yj55q56","country_code":"KR","type":"education","lineage":["https://openalex.org/I120158604"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sun Young Kim","raw_affiliation_strings":["School of Mechanical Engineering, Kunsan National University, Gunsan 54150, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Kunsan National University, Gunsan 54150, Republic of Korea","institution_ids":["https://openalex.org/I120158604"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009815542","display_name":"Jae Hoon Jeong","orcid":"https://orcid.org/0000-0002-6371-8007"},"institutions":[{"id":"https://openalex.org/I120158604","display_name":"Kunsan National University","ror":"https://ror.org/02yj55q56","country_code":"KR","type":"education","lineage":["https://openalex.org/I120158604"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jae-Hoon Jeong","raw_affiliation_strings":["School of Software Engineering, Kunsan National University, Gunsan 54150, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Kunsan National University, Gunsan 54150, Republic of Korea","institution_ids":["https://openalex.org/I120158604"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064929372","display_name":"Jin-Pyung Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jin-Pyung Kim","raw_affiliation_strings":["Global Bridge Co., Ltd., Incheon 21990, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Global Bridge Co., Ltd., Incheon 21990, Republic of Korea","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5009815542","https://openalex.org/A5031212894","https://openalex.org/A5064929372","https://openalex.org/A5100335624"],"corresponding_institution_ids":["https://openalex.org/I120158604"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.514,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.60622633,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"23","issue":"20","first_page":"8455","last_page":"8455"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10842","display_name":"Railway Engineering and Dynamics","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10842","display_name":"Railway Engineering and Dynamics","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T14156","display_name":"Engineering Applied Research","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/support-vector-machine","display_name":"Support vector machine","score":0.8798204660415649},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5951994061470032},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5662474036216736},{"id":"https://openalex.org/keywords/radial-basis-function-kernel","display_name":"Radial basis function kernel","score":0.5517428517341614},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.5345767140388489},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5277464985847473},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5034815669059753},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.44606369733810425},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4365617632865906},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.4364892840385437},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.43171006441116333},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.38941138982772827},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.37381666898727417},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36439359188079834},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11767852306365967}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8798204660415649},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5951994061470032},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5662474036216736},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.5517428517341614},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.5345767140388489},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5277464985847473},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5034815669059753},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.44606369733810425},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4365617632865906},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.4364892840385437},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.43171006441116333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38941138982772827},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.37381666898727417},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36439359188079834},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11767852306365967},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s23208455","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s23208455","pdf_url":"https://www.mdpi.com/1424-8220/23/20/8455/pdf","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:37896551","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37896551","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:pubmedcentral.nih.gov:10611035","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10611035","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10611035/pdf/sensors-23-08455.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"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"},{"id":"pmh:oai:doaj.org/article:6e016dddd916457aabb2624961f7fbec","is_oa":true,"landing_page_url":"https://doaj.org/article/6e016dddd916457aabb2624961f7fbec","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":"Sensors, Vol 23, Iss 20, p 8455 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/20/8455/","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23208455","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","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23208455","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s23208455","pdf_url":"https://www.mdpi.com/1424-8220/23/20/8455/pdf","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":[{"score":0.4300000071525574,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G5229175672","display_name":null,"funder_award_id":"22LTSM-B156031-03","funder_id":"https://openalex.org/F4320324625","funder_display_name":"Korea Agency for Infrastructure Technology Advancement"}],"funders":[{"id":"https://openalex.org/F4320322010","display_name":"Ministry of Land, Infrastructure and Transport","ror":"https://ror.org/04xt5aa77"},{"id":"https://openalex.org/F4320324625","display_name":"Korea Agency for Infrastructure Technology Advancement","ror":"https://ror.org/00rxf7n07"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387638449.pdf","grobid_xml":"https://content.openalex.org/works/W4387638449.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W171538598","https://openalex.org/W1966162355","https://openalex.org/W1989919577","https://openalex.org/W2018523705","https://openalex.org/W2065024898","https://openalex.org/W2065455715","https://openalex.org/W2075866244","https://openalex.org/W2104481316","https://openalex.org/W2308000737","https://openalex.org/W2461445497","https://openalex.org/W2603446718","https://openalex.org/W2744245146","https://openalex.org/W3116512548","https://openalex.org/W3136551863","https://openalex.org/W4226023625","https://openalex.org/W4288032970","https://openalex.org/W4313281833","https://openalex.org/W4365514496"],"related_works":["https://openalex.org/W3123056048","https://openalex.org/W1603091392","https://openalex.org/W2095626363","https://openalex.org/W4389428786","https://openalex.org/W2364439724","https://openalex.org/W2079825755","https://openalex.org/W4389251307","https://openalex.org/W2420851703","https://openalex.org/W2974741803","https://openalex.org/W2089892314"],"abstract_inverted_index":{"The":[0,179],"wheels":[1,22,30,61],"of":[2,6,19,28,44,71,81,84,102,144],"railway":[3,20,45,60,97],"vehicles":[4],"are":[5],"paramount":[7],"importance":[8],"in":[9,59,62,88,105],"relation":[10],"to":[11,25,95,170],"railroad":[12],"operations":[13],"and":[14,38,64,68,125,150,161,176],"safety.":[15],"Currently,":[16],"the":[17,29,42,66,79,85,96,100,106,142,184],"management":[18],"vehicle":[21],"is":[23],"restricted":[24],"post-event":[26],"inspections":[27],"whenever":[31],"physical":[32],"phenomena,":[33],"such":[34,154],"as":[35,155],"abnormal":[36],"vibrations":[37],"noise,":[39],"occur":[40],"during":[41,78],"operation":[43,80],"vehicles.":[46,98],"To":[47],"address":[48],"this":[49,51],"issue,":[50],"paper":[52],"proposes":[53],"a":[54,136,147],"method":[55],"for":[56,114,129],"predicting":[57],"abnormalities":[58],"advance":[63],"enhancing":[65],"learning":[67,73,152],"prediction":[69],"performance":[70],"machine":[72,151],"algorithms.":[74],"Data":[75],"were":[76,118,133,164],"collected":[77,107],"Line":[82],"4":[83],"Busan":[86],"Metro":[87],"South":[89],"Korea":[90],"by":[91],"directly":[92],"attaching":[93],"sensors":[94],"Through":[99],"analysis":[101,124],"key":[103],"factors":[104,109,128],"data,":[108],"that":[110,141],"can":[111],"be":[112],"used":[113],"tire":[115,131,172],"condition":[116],"classification":[117],"derived.":[119],"Additionally,":[120],"through":[121],"data":[122,169],"distribution":[123],"correlation":[126],"analysis,":[127],"classifying":[130],"conditions":[132,173],"identified.":[134],"As":[135],"result,":[137],"it":[138],"was":[139],"determined":[140],"<i>z</i>-axis":[143],"acceleration":[145,168],"has":[146],"significant":[148],"impact,":[149],"techniques":[153],"SVM":[156,180],"(Linear":[157,181],"Kernel,":[158],"RBF":[159],"Kernel)":[160,182],"Random":[162],"Forest":[163],"utilized":[165],"based":[166],"on":[167],"classify":[171],"into":[174],"in-service":[175],"defective":[177],"states.":[178],"yielded":[183],"highest":[185],"recognition":[186],"rate":[187],"at":[188],"98.70%.":[189]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
