{"id":"https://openalex.org/W2605919849","doi":"https://doi.org/10.3390/s17040879","title":"Device-Free Localization via an Extreme Learning Machine with Parameterized Geometrical Feature Extraction","display_name":"Device-Free Localization via an Extreme Learning Machine with Parameterized Geometrical Feature Extraction","publication_year":2017,"publication_date":"2017-04-17","ids":{"openalex":"https://openalex.org/W2605919849","doi":"https://doi.org/10.3390/s17040879","mag":"2605919849","pmid":"https://pubmed.ncbi.nlm.nih.gov/28420187"},"language":"en","primary_location":{"id":"doi:10.3390/s17040879","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17040879","pdf_url":"https://www.mdpi.com/1424-8220/17/4/879/pdf?version=1492441064","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/1424-8220/17/4/879/pdf?version=1492441064","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5106943686","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0001-9638-574X"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["School of Automation &amp; Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation &amp; Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025288570","display_name":"Wendong Xiao","orcid":"https://orcid.org/0000-0002-2270-7889"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wendong Xiao","raw_affiliation_strings":["School of Automation &amp; Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation &amp; Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100378893","display_name":"Sen Zhang","orcid":"https://orcid.org/0000-0002-8010-6045"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sen Zhang","raw_affiliation_strings":["School of Automation &amp; Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China"],"raw_orcid":"https://orcid.org/0000-0002-8010-6045","affiliations":[{"raw_affiliation_string":"School of Automation &amp; Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061250474","display_name":"Shoudong Huang","orcid":"https://orcid.org/0000-0002-6124-4178"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Shoudong Huang","raw_affiliation_strings":["Centre for Autonomous Systems, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW 2007, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre for Autonomous Systems, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW 2007, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100378893"],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":7.6996,"has_fulltext":true,"cited_by_count":52,"citation_normalized_percentile":{"value":0.97743328,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":"17","issue":"4","first_page":"879","last_page":"879"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10326","display_name":"Indoor and Outdoor Localization Technologies","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11739","display_name":"Microwave Imaging and Scattering Analysis","score":0.9973000288009644,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.8965387940406799},{"id":"https://openalex.org/keywords/rss","display_name":"RSS","score":0.8664953112602234},{"id":"https://openalex.org/keywords/parameterized-complexity","display_name":"Parameterized complexity","score":0.6675065159797668},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6498058438301086},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.5898059010505676},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5031945109367371},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47631439566612244},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43207836151123047},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4192190170288086},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37328439950942993},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.35785412788391113},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.23877477645874023},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11202782392501831}],"concepts":[{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.8965387940406799},{"id":"https://openalex.org/C2385561","wikidata":"https://www.wikidata.org/wiki/Q45432","display_name":"RSS","level":2,"score":0.8664953112602234},{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.6675065159797668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6498058438301086},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.5898059010505676},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5031945109367371},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47631439566612244},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43207836151123047},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4192190170288086},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37328439950942993},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35785412788391113},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.23877477645874023},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11202782392501831},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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":[],"locations_count":6,"locations":[{"id":"doi:10.3390/s17040879","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17040879","pdf_url":"https://www.mdpi.com/1424-8220/17/4/879/pdf?version=1492441064","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:28420187","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28420187","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:0ccfd49a974f47b6bd706c412b2ee408","is_oa":true,"landing_page_url":"https://doaj.org/article/0ccfd49a974f47b6bd706c412b2ee408","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 17, Iss 4, p 879 (2017)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:4276063","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5424756","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"raw_type":"Text"},{"id":"pmh:oai:mdpi.com:/1424-8220/17/4/879/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s17040879","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 17; Issue 4; Pages: 879","raw_type":"Text"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/124158","is_oa":true,"landing_page_url":"http://hdl.handle.net/10453/124158","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.3390/s17040879","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s17040879","pdf_url":"https://www.mdpi.com/1424-8220/17/4/879/pdf?version=1492441064","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":[{"id":"https://openalex.org/G5079729378","display_name":null,"funder_award_id":"61673055","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G814298384","display_name":null,"funder_award_id":"61673056","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2605919849.pdf","grobid_xml":"https://content.openalex.org/works/W2605919849.grobid-xml"},"referenced_works_count":53,"referenced_works":["https://openalex.org/W932624555","https://openalex.org/W1158345277","https://openalex.org/W1600944299","https://openalex.org/W1969688522","https://openalex.org/W1985409953","https://openalex.org/W1988348999","https://openalex.org/W1989784367","https://openalex.org/W1990273538","https://openalex.org/W1996409685","https://openalex.org/W1998625267","https://openalex.org/W1998769964","https://openalex.org/W2003028871","https://openalex.org/W2007146523","https://openalex.org/W2008025584","https://openalex.org/W2010425280","https://openalex.org/W2019712329","https://openalex.org/W2026131661","https://openalex.org/W2031721930","https://openalex.org/W2039506494","https://openalex.org/W2045107598","https://openalex.org/W2055173179","https://openalex.org/W2056873685","https://openalex.org/W2070043452","https://openalex.org/W2078234140","https://openalex.org/W2086042828","https://openalex.org/W2090777587","https://openalex.org/W2093651350","https://openalex.org/W2101674911","https://openalex.org/W2110864098","https://openalex.org/W2111072639","https://openalex.org/W2114142662","https://openalex.org/W2116070975","https://openalex.org/W2118097499","https://openalex.org/W2121971770","https://openalex.org/W2126300356","https://openalex.org/W2141056905","https://openalex.org/W2141695047","https://openalex.org/W2147124620","https://openalex.org/W2150493532","https://openalex.org/W2151034334","https://openalex.org/W2152151699","https://openalex.org/W2154749698","https://openalex.org/W2159811720","https://openalex.org/W2161280016","https://openalex.org/W2164692160","https://openalex.org/W2170589361","https://openalex.org/W2211480282","https://openalex.org/W2294656113","https://openalex.org/W2338095309","https://openalex.org/W2587488580","https://openalex.org/W6635783807","https://openalex.org/W6680943701","https://openalex.org/W6682602097"],"related_works":["https://openalex.org/W426968574","https://openalex.org/W2365639220","https://openalex.org/W2382520895","https://openalex.org/W2393709043","https://openalex.org/W2080567403","https://openalex.org/W2539387137","https://openalex.org/W2374952201","https://openalex.org/W2374808384","https://openalex.org/W2385449752","https://openalex.org/W2619844325"],"abstract_inverted_index":{"Device-free":[0],"localization":[1,12,102,185,256],"(DFL)":[2],"is":[3,154,175,197],"becoming":[4],"one":[5],"of":[6,57,67,100,141,168,194,241,266],"the":[7,19,35,51,55,58,65,68,76,95,98,101,106,116,125,131,157,161,166,178,187,191,195,200,205,208,215,227,238,242,250,255,267,275,292],"new":[8],"technologies":[9],"in":[10,114,177,186,214,226],"wireless":[11,77,112,244],"field,":[13],"due":[14],"to":[15,21,27,30,49,93,235],"its":[16,142],"advantage":[17],"that":[18,207,249],"target":[20,52,59,196],"be":[22,28,61,219,232],"localized":[23],"does":[24],"not":[25],"need":[26],"attached":[29],"any":[31],"electronic":[32],"device.":[33],"In":[34,79],"radio-frequency":[36],"(RF)":[37],"DFL":[38,174,272,298],"system,":[39],"radio":[40,44,294],"transmitters":[41],"(RTs)":[42],"and":[43,54,97,145,160,181,230,258,271],"receivers":[45],"(RXs)":[46],"are":[47,121,163],"used":[48,123,164,211,223],"sense":[50],"collaboratively,":[53],"location":[56,193],"can":[60,218,231,253],"estimated":[62,192],"by":[63,212],"fusing":[64],"changes":[66],"received":[69],"signal":[70],"strength":[71],"(RSS)":[72],"measurements":[73,120],"associated":[74],"with":[75,237,263],"links.":[78,245],"this":[80],"paper,":[81],"we":[82,129],"will":[83],"propose":[84],"an":[85,136],"extreme":[86],"learning":[87,109,259,270],"machine":[88,108,269,282],"(ELM)":[89],"approach":[90],"for":[91,111,135,156,173,183,224],"DFL,":[92],"improve":[94,254],"efficiency":[96],"accuracy":[99,257],"algorithm.":[103],"Different":[104],"from":[105,221],"conventional":[107],"approaches":[110],"localization,":[113],"which":[115,139],"above":[117],"differential":[118,146],"RSS":[119,147],"trivially":[122],"as":[124,165,289,291],"only":[126],"input":[127],"features,":[128],"introduce":[130],"parameterized":[132],"geometrical":[133,143,150],"representation":[134],"affected":[137,158,209],"link,":[138],"consists":[140],"intercepts":[144],"measurement.":[148],"Parameterized":[149],"feature":[151],"extraction":[152],"(PGFE)":[153],"performed":[155,182],"links":[159,210],"features":[162],"inputs":[167],"ELM.":[169,202],"The":[170],"proposed":[171,251],"PGFE-ELM":[172,203,252],"trained":[176],"offline":[179,228],"phase":[180,217],"real-time":[184],"online":[188,216],"phase,":[189,229],"where":[190],"obtained":[198],"through":[199],"created":[201],"has":[204],"advantages":[206],"ELM":[213],"different":[220],"those":[222],"training":[225],"more":[233],"robust":[234],"deal":[236],"uncertain":[239],"combination":[240],"detectable":[243],"Experimental":[246],"results":[247],"show":[248],"speed":[260],"significantly":[261],"compared":[262],"a":[264],"number":[265],"existing":[268],"approaches,":[273],"including":[274],"weighted":[276],"K-nearest":[277],"neighbor":[278],"(WKNN),":[279],"support":[280],"vector":[281],"(SVM),":[283],"back":[284],"propagation":[285],"neural":[286],"network":[287],"(BPNN),":[288],"well":[290],"well-known":[293],"tomographic":[295],"imaging":[296],"(RTI)":[297],"approach.":[299]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":11},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
