{"id":"https://openalex.org/W2810580937","doi":"https://doi.org/10.1155/2018/4920750","title":"Exploration of Muscle Fatigue Effects in Bioinspired Robot Learning from sEMG Signals","display_name":"Exploration of Muscle Fatigue Effects in Bioinspired Robot Learning from sEMG Signals","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2810580937","doi":"https://doi.org/10.1155/2018/4920750","mag":"2810580937"},"language":"en","primary_location":{"id":"doi:10.1155/2018/4920750","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/4920750","pdf_url":"http://downloads.hindawi.com/journals/complexity/2018/4920750.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"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":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://downloads.hindawi.com/journals/complexity/2018/4920750.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100387137","display_name":"Ning Wang","orcid":"https://orcid.org/0000-0002-3264-1852"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]},{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]},{"id":"https://openalex.org/I897542642","display_name":"University of Plymouth","ror":"https://ror.org/008n7pv89","country_code":"GB","type":"education","lineage":["https://openalex.org/I897542642"]}],"countries":["CN","GB","HK"],"is_corresponding":false,"raw_author_name":"Ning Wang","raw_affiliation_strings":["School of Computing, Electronics and Mathematics, Plymouth University, Drake Circus, Plymouth PL4 8AA, UK","Shenzhen Research Institute, The Chinese University of Hong Kong, Shatin, Hong Kong","Shenzhen Research Institute, The Chinese University of Hong Kong, Shatin","School of Computing, Electronics and Mathematics, Plymouth University, Drake Circus, Plymouth PL4 8AA"],"raw_orcid":"https://orcid.org/0000-0002-3264-1852","affiliations":[{"raw_affiliation_string":"School of Computing, Electronics and Mathematics, Plymouth University, Drake Circus, Plymouth PL4 8AA, UK","institution_ids":["https://openalex.org/I897542642"]},{"raw_affiliation_string":"Shenzhen Research Institute, The Chinese University of Hong Kong, Shatin, Hong Kong","institution_ids":["https://openalex.org/I177725633","https://openalex.org/I4210116924"]},{"raw_affiliation_string":"Shenzhen Research Institute, The Chinese University of Hong Kong, Shatin","institution_ids":["https://openalex.org/I177725633","https://openalex.org/I4210116924"]},{"raw_affiliation_string":"School of Computing, Electronics and Mathematics, Plymouth University, Drake Circus, Plymouth PL4 8AA","institution_ids":["https://openalex.org/I897542642"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101440477","display_name":"Yang Xu","orcid":"https://orcid.org/0000-0002-9401-9313"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Xu","raw_affiliation_strings":["Key Laboratory of Autonomous Systems and Networked Control, College of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, China","Key Laboratory of Autonomous Systems and Networked Control, College of Automation Science and Engineering, South China University of Technology, Guangzhou 510640"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Autonomous Systems and Networked Control, College of Automation Science and Engineering, South China University of Technology, Guangzhou 510640, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"Key Laboratory of Autonomous Systems and Networked Control, College of Automation Science and Engineering, South China University of Technology, Guangzhou 510640","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072523018","display_name":"Hongbin Ma","orcid":"https://orcid.org/0000-0002-5734-3157"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hongbin Ma","raw_affiliation_strings":["School of Automation, Beijing Institute of Technology, Zhong Guan Cun South Street, Haidian District, Beijing 100081, China","School of Automation, Beijing Institute of Technology, Zhong Guan Cun South Street, Haidian District, Beijing 100081"],"raw_orcid":"https://orcid.org/0000-0002-5734-3157","affiliations":[{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology, Zhong Guan Cun South Street, Haidian District, Beijing 100081, China","institution_ids":["https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology, Zhong Guan Cun South Street, Haidian District, Beijing 100081","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100359300","display_name":"Xiaofeng Liu","orcid":"https://orcid.org/0000-0003-1310-6739"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Liu","raw_affiliation_strings":["Jiangsu Key Laboratory of Special Robots, Hohai University, Changzhou 213022","College of IoT Engineering, Hohai University, Changzhou 213022","Changzhou Key Laboratory of Robotics and Intelligent Technology, Changzhou 213022"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Special Robots, Hohai University, Changzhou 213022","institution_ids":["https://openalex.org/I163340411"]},{"raw_affiliation_string":"College of IoT Engineering, Hohai University, Changzhou 213022","institution_ids":["https://openalex.org/I163340411"]},{"raw_affiliation_string":"Changzhou Key Laboratory of Robotics and Intelligent Technology, Changzhou 213022","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5072523018"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":{"value":2550,"currency":"USD","value_usd":2550},"apc_paid":{"value":2550,"currency":"USD","value_usd":2550},"fwci":4.8851,"has_fulltext":true,"cited_by_count":56,"citation_normalized_percentile":{"value":0.96286376,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"2018","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10784","display_name":"Muscle activation and electromyography studies","score":0.9997000098228455,"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":0.9997000098228455,"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/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.9925000071525574,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9908000230789185,"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/computer-science","display_name":"Computer science","score":0.5667240023612976},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.5400378108024597},{"id":"https://openalex.org/keywords/muscle-fatigue","display_name":"Muscle fatigue","score":0.5179504156112671},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47293806076049805},{"id":"https://openalex.org/keywords/physical-medicine-and-rehabilitation","display_name":"Physical medicine and rehabilitation","score":0.306915819644928},{"id":"https://openalex.org/keywords/electromyography","display_name":"Electromyography","score":0.3000076711177826},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1385488212108612}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5667240023612976},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.5400378108024597},{"id":"https://openalex.org/C2776874296","wikidata":"https://www.wikidata.org/wiki/Q6940317","display_name":"Muscle fatigue","level":3,"score":0.5179504156112671},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47293806076049805},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.306915819644928},{"id":"https://openalex.org/C2777515770","wikidata":"https://www.wikidata.org/wiki/Q507369","display_name":"Electromyography","level":2,"score":0.3000076711177826},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1385488212108612}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1155/2018/4920750","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/4920750","pdf_url":"http://downloads.hindawi.com/journals/complexity/2018/4920750.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"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":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:4920750","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/8503/2018/4920750.xml","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:7ec81c01c4ac425d8a7bb91343f15d05","is_oa":true,"landing_page_url":"https://doaj.org/article/7ec81c01c4ac425d8a7bb91343f15d05","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":"Complexity, Vol 2018 (2018)","raw_type":"article"},{"id":"pmh:oai:eprints.uwe.ac.uk:41290","is_oa":true,"landing_page_url":"http://eprints.uwe.ac.uk/41290/1/Exploration%20of%20Muscle%20Fatigue%20Effects%20in%20Bioinspired%20Robot%20Learning%20from%20sEMG%20Signals%20%281%29.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401464","display_name":"UWE Research Repository (UWE Bristol)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I178535277","host_organization_name":"University of the West of England","host_organization_lineage":["https://openalex.org/I178535277"],"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"}],"best_oa_location":{"id":"doi:10.1155/2018/4920750","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/4920750","pdf_url":"http://downloads.hindawi.com/journals/complexity/2018/4920750.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"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":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1809358198","display_name":null,"funder_award_id":"61473038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G220403383","display_name":"Implementation and integration of advanced Robotic systems and intelligent Environments in real scenarios for the ageing population","funder_award_id":"288899","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G3829048491","display_name":null,"funder_award_id":"FP7/2007-2013","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G471193351","display_name":null,"funder_award_id":"17D30118","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G4725297293","display_name":"\u4e91\u8ba1\u7b97\u73af\u5883\u4e0b\u8f6f\u4ef6\u53ef\u9760\u6027\u548c\u5b89\u5168\u6027\u7406\u8bba\u3001\u6280\u672f\u4e0e\u5b9e\u8bc1\u7814\u7a76","funder_award_id":"61332010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5146614486","display_name":null,"funder_award_id":"91648117","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5593277320","display_name":null,"funder_award_id":"2007-2013","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G5702163051","display_name":null,"funder_award_id":"FP7/2007","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G6412048503","display_name":null,"funder_award_id":"FP7/2007-2013","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7003971911","display_name":null,"funder_award_id":"FP7/2007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7792442982","display_name":null,"funder_award_id":"BE2017647","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7969174591","display_name":null,"funder_award_id":"BE2017071","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2810580937.pdf","grobid_xml":"https://content.openalex.org/works/W2810580937.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W75999202","https://openalex.org/W130216483","https://openalex.org/W297323218","https://openalex.org/W1492794416","https://openalex.org/W1596975731","https://openalex.org/W1597554859","https://openalex.org/W1979117064","https://openalex.org/W1983681517","https://openalex.org/W1990603682","https://openalex.org/W2007160017","https://openalex.org/W2016284881","https://openalex.org/W2021795255","https://openalex.org/W2049447155","https://openalex.org/W2058459242","https://openalex.org/W2063692229","https://openalex.org/W2094941192","https://openalex.org/W2111340349","https://openalex.org/W2113527162","https://openalex.org/W2114537326","https://openalex.org/W2141501874","https://openalex.org/W2143497344","https://openalex.org/W2164006146","https://openalex.org/W2326612419","https://openalex.org/W2332852586","https://openalex.org/W2513276371","https://openalex.org/W2536318021","https://openalex.org/W2546832470","https://openalex.org/W2583405003","https://openalex.org/W2588104504","https://openalex.org/W2596784518","https://openalex.org/W2613446563","https://openalex.org/W2743926598","https://openalex.org/W2748648378","https://openalex.org/W2754133402","https://openalex.org/W2778092082","https://openalex.org/W4211225190"],"related_works":["https://openalex.org/W2391009298","https://openalex.org/W1558657480","https://openalex.org/W2170492757","https://openalex.org/W2470063585","https://openalex.org/W2534579942","https://openalex.org/W1892004929","https://openalex.org/W2013199111","https://openalex.org/W1790732178","https://openalex.org/W2363387134","https://openalex.org/W2486143720"],"abstract_inverted_index":{"To":[0],"investigate":[1],"the":[2,26,32,45,61,91,95,107,118,121,143,156,192,208,212,226,231,243],"effects":[3],"of":[4,31,90,97,110,120,155,173,242],"muscle":[5,28,87,145],"fatigue":[6,29,88,146,248],"on":[7,216],"bioinspired":[8],"robot":[9,46,98,101,218,227],"learning":[10,47,102],"quality":[11],"in":[12,18,52,94,159],"teaching":[13],"by":[14,35,116],"demonstration":[15,157,222],"(TbD)":[16],"tasks,":[17],"this":[19,50],"work,":[20],"we":[21],"propose":[22],"to":[23,128,142,153,190,206,240],"first":[24],"identify":[25],"emerging":[27],"phenomenon":[30],"human":[33,92,111,221],"demonstrator":[34,93,112],"analyzing":[36],"his/her":[37],"surface":[38],"Electromyography":[39],"(sEMG)":[40],"recordings":[41],"and":[42,57,68],"then":[43],"guide":[44],"curve":[48],"with":[49,175,219,234],"knowledge":[51],"mind.":[53],"The":[54],"time\u2010varying":[55],"amplitude":[56],"frequency":[58],"sequences":[59],"determining":[60],"subband":[62],"sEMG":[63],"signals":[64],"have":[65,76,138],"been":[66,77,139,151,204],"estimated":[67],"their":[69,182],"dominant":[70],"values":[71],"over":[72,124],"short":[73],"time":[74],"intervals":[75],"explored":[78],"as":[79,166,179,181,187],"fatigue\u2010indicating":[80],"features.":[81],"These":[82],"features":[83,123],"are":[84,185],"found":[85],"carrying":[86],"cues":[89],"course":[96],"manipulation.":[99],"In":[100,126],"tasks":[103],"requiring":[104],"multiple":[105,132],"demonstrations,":[106,133],"fatiguing":[108,177],"status":[109],"can":[113,228],"be":[114],"acquired":[115],"tracking":[117],"changes":[119],"proposed":[122],"time.":[125],"order":[127],"model":[129],"data":[130,174,189],"from":[131],"Gaussian":[134,198],"mixture":[135,199],"models":[136],"(GMMs)":[137],"employed.":[140],"According":[141],"identified":[144],"factor,":[147],"a":[148,235],"weight":[149],"has":[150,203],"assigned":[152],"each":[154],"trials":[158,223],"training":[160],"stage,":[161],"which":[162],"is":[163],"therefore":[164],"termed":[165],"weighted":[167],"GMMs":[168],"(W\u2010GMMs)":[169],"algorithm.":[170],"Six":[171],"groups":[172],"various":[176],"status,":[178],"well":[180],"corresponding":[183],"weights,":[184],"taken":[186],"input":[188],"get":[191],"adapted":[193],"W\u2010GMMs":[194],"parameters.":[195],"After":[196],"that,":[197],"regression":[200],"(GMR)":[201],"algorithm":[202],"applied":[205],"regenerate":[207],"movement":[209],"trajectory":[210,237],"for":[211],"robot.":[213],"TbD":[214],"experiments":[215],"Baxter":[217],"30":[220],"show":[224],"that":[225,241],"successfully":[229],"accomplish":[230],"taught":[232],"task":[233],"generated":[236],"much":[238],"closer":[239],"desirable":[244],"condition":[245],"where":[246],"little":[247],"exists.":[249]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":15},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":4},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}