{"id":"https://openalex.org/W2964057032","doi":"https://doi.org/10.1109/access.2019.2929864","title":"Speech Enhancement Algorithm Based on Super-Gaussian Modeling and Orthogonal Polynomials","display_name":"Speech Enhancement Algorithm Based on Super-Gaussian Modeling and Orthogonal Polynomials","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2964057032","doi":"https://doi.org/10.1109/access.2019.2929864","mag":"2964057032"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2929864","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2929864","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08766088.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08766088.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020675008","display_name":"Basheera M. Mahmmod","orcid":"https://orcid.org/0000-0002-4121-0843"},"institutions":[{"id":"https://openalex.org/I135120706","display_name":"University of Baghdad","ror":"https://ror.org/007f1da21","country_code":"IQ","type":"education","lineage":["https://openalex.org/I135120706"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Basheera M. Mahmmod","raw_affiliation_strings":["Department of Computer Engineering, University of Baghdad, Baghdad, Iraq"],"raw_orcid":"https://orcid.org/0000-0002-4121-0843","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, University of Baghdad, Baghdad, Iraq","institution_ids":["https://openalex.org/I135120706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110477863","display_name":"Abd Rahman Ramli","orcid":null},"institutions":[{"id":"https://openalex.org/I130343225","display_name":"Universiti Putra Malaysia","ror":"https://ror.org/02e91jd64","country_code":"MY","type":"education","lineage":["https://openalex.org/I130343225"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Abd Rahman Ramli","raw_affiliation_strings":["Department of Computer and Communication System Engineering, Universiti Putra Malaysia, Selangorm, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Communication System Engineering, Universiti Putra Malaysia, Selangorm, Malaysia","institution_ids":["https://openalex.org/I130343225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065487579","display_name":"Thar Baker","orcid":"https://orcid.org/0000-0002-5166-4873"},"institutions":[{"id":"https://openalex.org/I63098007","display_name":"Liverpool John Moores University","ror":"https://ror.org/04zfme737","country_code":"GB","type":"education","lineage":["https://openalex.org/I63098007"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Thar Baker","raw_affiliation_strings":["Department of Computer Science, Liverpool John Moores University, Liverpool, U.K"],"raw_orcid":"https://orcid.org/0000-0002-5166-4873","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Liverpool John Moores University, Liverpool, U.K","institution_ids":["https://openalex.org/I63098007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037131693","display_name":"Feras Al\u2010Obeidat","orcid":"https://orcid.org/0000-0001-6941-6555"},"institutions":[{"id":"https://openalex.org/I91044093","display_name":"Zayed University","ror":"https://ror.org/03snqfa66","country_code":"AE","type":"education","lineage":["https://openalex.org/I91044093"]}],"countries":["AE"],"is_corresponding":false,"raw_author_name":"Feras Al-Obeidat","raw_affiliation_strings":["College of Technological Innovation, Zayed University, Abu Dhabi, UAE"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Technological Innovation, Zayed University, Abu Dhabi, UAE","institution_ids":["https://openalex.org/I91044093"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017117569","display_name":"Sadiq H. Abdulhussain","orcid":"https://orcid.org/0000-0002-6439-0082"},"institutions":[{"id":"https://openalex.org/I135120706","display_name":"University of Baghdad","ror":"https://ror.org/007f1da21","country_code":"IQ","type":"education","lineage":["https://openalex.org/I135120706"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Sadiq H. Abdulhussain","raw_affiliation_strings":["Department of Computer Engineering, University of Baghdad, Baghdad, Iraq"],"raw_orcid":"https://orcid.org/0000-0002-6439-0082","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, University of Baghdad, Baghdad, Iraq","institution_ids":["https://openalex.org/I135120706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033983559","display_name":"Wissam A. Jassim","orcid":"https://orcid.org/0000-0001-5998-142X"},"institutions":[{"id":"https://openalex.org/I205274468","display_name":"Trinity College Dublin","ror":"https://ror.org/02tyrky19","country_code":"IE","type":"education","lineage":["https://openalex.org/I205274468"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Wissam A. Jassim","raw_affiliation_strings":["ADAPT Center, School of Engineering, Trinity College Dublin, University of Dublin, Dublin, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ADAPT Center, School of Engineering, Trinity College Dublin, University of Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I205274468"]}]}],"institutions":[],"countries_distinct_count":5,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":6.7077,"has_fulltext":true,"cited_by_count":52,"citation_normalized_percentile":{"value":0.97596486,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"7","issue":null,"first_page":"103485","last_page":"103504"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10283","display_name":"Hearing Loss and Rehabilitation","score":0.996399998664856,"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"}},{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/intelligibility","display_name":"Intelligibility (philosophy)","score":0.7285082340240479},{"id":"https://openalex.org/keywords/speech-enhancement","display_name":"Speech enhancement","score":0.6622320413589478},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6462629437446594},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5937288999557495},{"id":"https://openalex.org/keywords/minimum-mean-square-error","display_name":"Minimum mean square error","score":0.5797131657600403},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5676803588867188},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5301450490951538},{"id":"https://openalex.org/keywords/pesq","display_name":"PESQ","score":0.4975621998310089},{"id":"https://openalex.org/keywords/gaussian-noise","display_name":"Gaussian noise","score":0.4861440360546112},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4674205482006073},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.450374960899353},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4144808053970337},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3395099937915802},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.3110560178756714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2964702248573303},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.29525214433670044},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13912290334701538}],"concepts":[{"id":"https://openalex.org/C60048801","wikidata":"https://www.wikidata.org/wiki/Q1433889","display_name":"Intelligibility (philosophy)","level":2,"score":0.7285082340240479},{"id":"https://openalex.org/C2776182073","wikidata":"https://www.wikidata.org/wiki/Q7575395","display_name":"Speech enhancement","level":3,"score":0.6622320413589478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6462629437446594},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5937288999557495},{"id":"https://openalex.org/C90652560","wikidata":"https://www.wikidata.org/wiki/Q11091747","display_name":"Minimum mean square error","level":3,"score":0.5797131657600403},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5676803588867188},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5301450490951538},{"id":"https://openalex.org/C103734657","wikidata":"https://www.wikidata.org/wiki/Q2739975","display_name":"PESQ","level":4,"score":0.4975621998310089},{"id":"https://openalex.org/C4199805","wikidata":"https://www.wikidata.org/wiki/Q2725903","display_name":"Gaussian noise","level":2,"score":0.4861440360546112},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4674205482006073},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.450374960899353},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4144808053970337},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3395099937915802},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.3110560178756714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2964702248573303},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29525214433670044},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13912290334701538},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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":3,"locations":[{"id":"doi:10.1109/access.2019.2929864","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2929864","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08766088.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:researchonline.ljmu.ac.uk:11065","is_oa":true,"landing_page_url":null,"pdf_url":"https://researchonline.ljmu.ac.uk/id/eprint/11065/1/Final%20Article.pdf","source":{"id":"https://openalex.org/S4306401246","display_name":"Liverpool John Moores University","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I63098007","host_organization_name":"Liverpool John Moores University","host_organization_lineage":["https://openalex.org/I63098007"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:09dad5cf5acf4c18991ea24014972757","is_oa":true,"landing_page_url":"https://doaj.org/article/09dad5cf5acf4c18991ea24014972757","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":"IEEE Access, Vol 7, Pp 103485-103504 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2929864","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2929864","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08766088.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964057032.pdf","grobid_xml":"https://content.openalex.org/works/W2964057032.grobid-xml"},"referenced_works_count":74,"referenced_works":["https://openalex.org/W20030414","https://openalex.org/W25676668","https://openalex.org/W349236604","https://openalex.org/W809803945","https://openalex.org/W1492095104","https://openalex.org/W1611916600","https://openalex.org/W1820966990","https://openalex.org/W1873645982","https://openalex.org/W1963950237","https://openalex.org/W1968939597","https://openalex.org/W1972485395","https://openalex.org/W1974387177","https://openalex.org/W1979867271","https://openalex.org/W1985090574","https://openalex.org/W1985226152","https://openalex.org/W2010840080","https://openalex.org/W2013608223","https://openalex.org/W2019687194","https://openalex.org/W2028846388","https://openalex.org/W2046245205","https://openalex.org/W2052867527","https://openalex.org/W2063378142","https://openalex.org/W2064927719","https://openalex.org/W2075767990","https://openalex.org/W2089317962","https://openalex.org/W2095072097","https://openalex.org/W2096779346","https://openalex.org/W2101999036","https://openalex.org/W2103636088","https://openalex.org/W2113509581","https://openalex.org/W2121973264","https://openalex.org/W2124823288","https://openalex.org/W2126942983","https://openalex.org/W2128653836","https://openalex.org/W2138196899","https://openalex.org/W2141998673","https://openalex.org/W2144203901","https://openalex.org/W2144404214","https://openalex.org/W2145760110","https://openalex.org/W2146842127","https://openalex.org/W2151012548","https://openalex.org/W2163429711","https://openalex.org/W2169399159","https://openalex.org/W2288289204","https://openalex.org/W2344317287","https://openalex.org/W2411103743","https://openalex.org/W2479150377","https://openalex.org/W2504718840","https://openalex.org/W2535647455","https://openalex.org/W2550397165","https://openalex.org/W2559870265","https://openalex.org/W2588125578","https://openalex.org/W2603372748","https://openalex.org/W2609323959","https://openalex.org/W2615998567","https://openalex.org/W2621044834","https://openalex.org/W2753977426","https://openalex.org/W2756838982","https://openalex.org/W2782404771","https://openalex.org/W2790768567","https://openalex.org/W2900566859","https://openalex.org/W2918862646","https://openalex.org/W2940503387","https://openalex.org/W2941090763","https://openalex.org/W2962866211","https://openalex.org/W3127686677","https://openalex.org/W3147539069","https://openalex.org/W4214498238","https://openalex.org/W4234495333","https://openalex.org/W4241946330","https://openalex.org/W4253928870","https://openalex.org/W6600801376","https://openalex.org/W6601019258","https://openalex.org/W6789826613"],"related_works":["https://openalex.org/W2037635165","https://openalex.org/W4375869276","https://openalex.org/W4221152531","https://openalex.org/W2542497601","https://openalex.org/W4285503617","https://openalex.org/W2046186789","https://openalex.org/W1998890473","https://openalex.org/W1632545988","https://openalex.org/W4312751558","https://openalex.org/W2964057032"],"abstract_inverted_index":{"Different":[0],"types":[1],"of":[2,82,112,171,214,226,244],"noise":[3,56,104,117,151,166,190],"from":[4],"the":[5,16,45,76,80,83,142,150,178,200,205,212,215,222,227,234],"surrounding":[6],"always":[7,68],"interfere":[8],"with":[9,96,101,118],"speech":[10,22,28,42,46,102,113,122,188,197,202,240],"and":[11,30,55,78,103,115,162,173,184,189,246],"produce":[12],"annoying":[13],"signals":[14],"for":[15,165,187],"human":[17],"auditory":[18],"system.":[19],"To":[20],"exchange":[21],"information":[23],"in":[24,70,121,204,242],"a":[25,37,60,130,146,195],"noisy":[26],"environment,":[27],"quality":[29,245],"intelligibility":[31,247],"must":[32],"be":[33],"maintained,":[34],"which":[35],"is":[36,48,57,138,157,208,230],"challenging":[38],"task.":[39],"In":[40,232],"most":[41],"enhancement":[43,84],"algorithms,":[44],"signal":[47,144,203],"characterized":[49,58],"by":[50,59,210],"Gaussian":[51,61],"or":[52],"super-Gaussian":[53],"models,":[54],"prior.":[62],"However,":[63],"these":[64],"assumptions":[65],"do":[66],"not":[67],"hold":[69],"real-life":[71],"situations,":[72],"thereby":[73],"negatively":[74],"affecting":[75],"estimation,":[77],"eventually,":[79],"performance":[81],"algorithm.":[85],"Accordingly,":[86],"this":[87],"paper":[88],"focuses":[89],"on":[90,134,154,177],"deriving":[91],"an":[92,135],"optimum":[93],"low-distortion":[94],"estimator":[95,108],"models":[97,164,186],"that":[98,221],"fit":[99],"well":[100],"data":[105],"signals.":[106,167],"This":[107],"provides":[109],"minimum":[110,179],"levels":[111],"distortion":[114],"residual":[116],"additional":[119],"improvements":[120],"perceptual":[123],"aspects":[124],"via":[125],"four":[126],"key":[127],"steps.":[128],"First,":[129],"recent":[131],"transform":[132,141,147],"based":[133,153,176],"orthogonal":[136,216],"polynomial":[137],"used":[139],"to":[140,159,193],"observation":[143],"into":[145],"domain.":[148],"Second,":[149],"classification":[152,224],"feature":[155],"extraction":[156],"adopted":[158],"find":[160],"accurate":[161],"mutable":[163],"Third,":[168],"two":[169],"stages":[170],"nonlinear":[172],"linear":[174],"estimators":[175,241],"mean":[180],"square":[181],"error":[182],"(MMSE)":[183],"new":[185],"are":[191],"derived":[192],"estimate":[194],"clean":[196],"signal.":[198],"Finally,":[199],"estimated":[201],"time":[206],"domain":[207],"determined":[209],"considering":[211],"inverse":[213],"transform.":[217],"The":[218],"results":[219],"show":[220],"average":[223],"accuracy":[225],"proposed":[228,235],"approach":[229],"99.43%.":[231],"addition,":[233],"algorithm":[236],"significantly":[237],"outperforms":[238],"existing":[239],"terms":[243],"measures.":[248]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":18},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}