{"id":"https://openalex.org/W3098807063","doi":"https://doi.org/10.1155/2020/8853314","title":"sEMG-Based Neural Network Prediction Model Selection of Gesture Fatigue and Dataset Optimization","display_name":"sEMG-Based Neural Network Prediction Model Selection of Gesture Fatigue and Dataset Optimization","publication_year":2020,"publication_date":"2020-11-11","ids":{"openalex":"https://openalex.org/W3098807063","doi":"https://doi.org/10.1155/2020/8853314","mag":"3098807063","pmid":"https://pubmed.ncbi.nlm.nih.gov/33224188"},"language":"en","primary_location":{"id":"doi:10.1155/2020/8853314","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8853314","pdf_url":"https://downloads.hindawi.com/journals/cin/2020/8853314.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cin/2020/8853314.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101952663","display_name":"Fujun Ma","orcid":"https://orcid.org/0000-0003-1504-8587"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fujun Ma","raw_affiliation_strings":["Center for Advanced Jet Engineering Technologies (CaJET), Key Laboratory of High-efficiency and Clean Mechanical Manufacture (Ministry of Education), National Experimental Teaching Demonstration Center for Mechanical Engineering (Shandong University), School of Mechanical Engineering, Shandong University, Jinan 250061, China"],"raw_orcid":"https://orcid.org/0000-0003-1504-8587","affiliations":[{"raw_affiliation_string":"Center for Advanced Jet Engineering Technologies (CaJET), Key Laboratory of High-efficiency and Clean Mechanical Manufacture (Ministry of Education), National Experimental Teaching Demonstration Center for Mechanical Engineering (Shandong University), School of Mechanical Engineering, Shandong University, Jinan 250061, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002825855","display_name":"Fanghao Song","orcid":"https://orcid.org/0000-0003-0591-8219"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fanghao Song","raw_affiliation_strings":["Department of Industrial Design, Mechanical Engineering, Shandong University, Jinan 250061, China"],"raw_orcid":"https://orcid.org/0000-0003-0591-8219","affiliations":[{"raw_affiliation_string":"Department of Industrial Design, Mechanical Engineering, Shandong University, Jinan 250061, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113922209","display_name":"Yan Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Liu","raw_affiliation_strings":["Department of Industrial Design, Mechanical Engineering, Shandong University, Jinan 250061, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Design, Mechanical Engineering, Shandong University, Jinan 250061, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024227794","display_name":"Jiahui Niu","orcid":"https://orcid.org/0009-0004-9205-2242"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Niu","raw_affiliation_strings":["Center for Advanced Jet Engineering Technologies (CaJET), Key Laboratory of High-efficiency and Clean Mechanical Manufacture (Ministry of Education), National Experimental Teaching Demonstration Center for Mechanical Engineering (Shandong University), School of Mechanical Engineering, Shandong University, Jinan 250061, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Advanced Jet Engineering Technologies (CaJET), Key Laboratory of High-efficiency and Clean Mechanical Manufacture (Ministry of Education), National Experimental Teaching Demonstration Center for Mechanical Engineering (Shandong University), School of Mechanical Engineering, Shandong University, Jinan 250061, China","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5002825855"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.6095,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.64779003,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10914","display_name":"Tactile and Sensory Interactions","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.9006562829017639},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7429894208908081},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.7125301957130432},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6182457804679871},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6005913019180298},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.574122428894043},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5346144437789917},{"id":"https://openalex.org/keywords/gesture-recognition","display_name":"Gesture recognition","score":0.5332035422325134},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.4491356611251831},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44082608819007874},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4373644292354584},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09853571653366089},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08749929070472717}],"concepts":[{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.9006562829017639},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7429894208908081},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.7125301957130432},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6182457804679871},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6005913019180298},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.574122428894043},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5346144437789917},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.5332035422325134},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.4491356611251831},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44082608819007874},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4373644292354584},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09853571653366089},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08749929070472717}],"mesh":[{"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":"D004576","descriptor_name":"Electromyography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004576","descriptor_name":"Electromyography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005221","descriptor_name":"Fatigue","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005221","descriptor_name":"Fatigue","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005221","descriptor_name":"Fatigue","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005868","descriptor_name":"Gestures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005868","descriptor_name":"Gestures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005868","descriptor_name":"Gestures","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006225","descriptor_name":"Hand","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","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":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","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":false}],"locations_count":4,"locations":[{"id":"doi:10.1155/2020/8853314","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8853314","pdf_url":"https://downloads.hindawi.com/journals/cin/2020/8853314.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},{"id":"pmid:33224188","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33224188","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":"Computational intelligence and neuroscience","raw_type":null},{"id":"pmh:oai:doaj.org/article:2b0a61cbf3b04699a94e8b99954c3d8f","is_oa":true,"landing_page_url":"https://doaj.org/article/2b0a61cbf3b04699a94e8b99954c3d8f","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":"Computational Intelligence and Neuroscience, Vol 2020 (2020)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7673936","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7673936","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":"Comput Intell Neurosci","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1155/2020/8853314","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/8853314","pdf_url":"https://downloads.hindawi.com/journals/cin/2020/8853314.pdf","source":{"id":"https://openalex.org/S72372694","display_name":"Computational Intelligence and Neuroscience","issn_l":"1687-5265","issn":["1687-5265","1687-5273"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Intelligence and Neuroscience","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.9200000166893005,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337368","display_name":"Division of Graduate Education","ror":"https://ror.org/00whkrf32"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3098807063.pdf","grobid_xml":"https://content.openalex.org/works/W3098807063.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1197176562","https://openalex.org/W1569512666","https://openalex.org/W1619614355","https://openalex.org/W2148603752","https://openalex.org/W2150355110","https://openalex.org/W2226450201","https://openalex.org/W2255794050","https://openalex.org/W2259944928","https://openalex.org/W2272508502","https://openalex.org/W2286991778","https://openalex.org/W2359149187","https://openalex.org/W2465456818","https://openalex.org/W2610872350","https://openalex.org/W2761857213","https://openalex.org/W2762367260","https://openalex.org/W2765746460","https://openalex.org/W2766230721","https://openalex.org/W2769481669","https://openalex.org/W2774119575","https://openalex.org/W2892307477","https://openalex.org/W2904510872","https://openalex.org/W2907765706","https://openalex.org/W2965100371","https://openalex.org/W2982586672","https://openalex.org/W2993676729","https://openalex.org/W2993709417","https://openalex.org/W2997271801","https://openalex.org/W2998998642","https://openalex.org/W2999062364","https://openalex.org/W3013154471","https://openalex.org/W3014229143","https://openalex.org/W3027440088","https://openalex.org/W3032609125","https://openalex.org/W3043751454","https://openalex.org/W3048917786","https://openalex.org/W3090906875"],"related_works":["https://openalex.org/W2902873204","https://openalex.org/W2185750513","https://openalex.org/W3147379364","https://openalex.org/W2010878661","https://openalex.org/W2028966255","https://openalex.org/W2026258298","https://openalex.org/W3204639664","https://openalex.org/W2970836791","https://openalex.org/W2805039731","https://openalex.org/W2077377051"],"abstract_inverted_index":{"The":[0,20,105,132,191,205,242],"fatigue":[1,27,55,129,203,218,251],"energy":[2,100],"consumption":[3,101],"of":[4,15,28,57,67,102,130,168,184,187,220,239,253],"independent":[5,29,51,68,84,103],"gestures":[6,37,59,72,85],"can":[7,60,245],"be":[8,61,246],"obtained":[9],"by":[10,49,63,97],"calculating":[11,98],"the":[12,26,32,41,54,90,99,128,160,165,169,182,214,217,235,250,265],"power":[13],"spectrum":[14],"surface":[16],"electromyography":[17],"(sEMG)":[18],"signals.":[19],"existing":[21],"research":[22,33],"studies":[23,34],"focus":[24],"on":[25,35],"gestures,":[30,52,257,262],"while":[31],"integrated":[36,48,58],"are":[38,80,124,156,178,189,209],"few.":[39],"However,":[40],"actual":[42],"gesture":[43,202],"operation":[44],"mode":[45],"is":[46,93,137,198,224],"usually":[47],"multiple":[50],"so":[53],"degree":[56,219,252],"predicted":[62,91],"training":[64,215],"neural":[65,107,113,116],"network":[66,117],"gestures.":[69,104,241],"Three":[70],"natural":[71],"including":[73,110],"browsing":[74],"information,":[75],"playing":[76],"games,":[77],"and":[78,89,95,119,151,173,181,263],"typing":[79],"divided":[81],"into":[82],"nine":[83],"in":[86],"this":[87],"paper,":[88],"model":[92,197],"established":[94],"trained":[96],"artificial":[106],"networks":[108],"(ANNs)":[109],"backpropagation":[111],"(BP)":[112],"network,":[114],"recurrent":[115],"(RNN),":[118],"long":[120],"short-term":[121],"memory":[122],"(LSTM)":[123],"used":[125,138],"to":[126,139,158,226,233,248,259],"predict":[127,234,249],"gesture.":[131,222],"support":[133],"vector":[134],"machine":[135],"(SVM)":[136],"assist":[140],"verification.":[141],"Mean":[142],"square":[143,148],"error":[144,149,154,185],"(MSE),":[145],"root":[146],"mean":[147,152],"(RMSE),":[150],"absolute":[153],"(MAE)":[155],"utilized":[157],"evaluate":[159],"optimal":[161],"prediction":[162],"model.":[163],"Furthermore,":[164],"different":[166],"datasets":[167,232],"processed":[170,206],"sEMG":[171,207,237],"signal":[172],"its":[174],"decomposed":[175],"wavelet":[176,228],"coefficients":[177,230],"trained,":[179],"respectively,":[180],"changes":[183],"functions":[186],"them":[188],"compared.":[190],"experimental":[192,243],"results":[193,244],"show":[194],"that":[195],"LSTM":[196],"more":[199],"suitable":[200],"for":[201,211],"prediction.":[204],"signals":[208,238],"appropriate":[210],"using":[212],"as":[213,231],"set":[216],"one-handed":[221],"It":[223],"better":[225],"use":[227],"decomposition":[229],"high-dimensional":[236],"two-handed":[240],"applied":[247],"complex":[254],"human-machine":[255],"interactive":[256,267],"help":[258],"avoid":[260],"unreasonable":[261],"improve":[264],"user's":[266],"experience.":[268]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}