{"id":"https://openalex.org/W3138211747","doi":"https://doi.org/10.3390/s21061999","title":"A Robust Handwritten Numeral Recognition Using Hybrid Orthogonal Polynomials and Moments","display_name":"A Robust Handwritten Numeral Recognition Using Hybrid Orthogonal Polynomials and Moments","publication_year":2021,"publication_date":"2021-03-12","ids":{"openalex":"https://openalex.org/W3138211747","doi":"https://doi.org/10.3390/s21061999","mag":"3138211747","pmid":"https://pubmed.ncbi.nlm.nih.gov/33808986"},"language":"en","primary_location":{"id":"doi:10.3390/s21061999","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21061999","pdf_url":"https://www.mdpi.com/1424-8220/21/6/1999/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/21/6/1999/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","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, Al-Jadriya 10071, Iraq"],"raw_orcid":"https://orcid.org/0000-0002-6439-0082","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, University of Baghdad, Al-Jadriya 10071, Iraq","institution_ids":["https://openalex.org/I135120706"]}]},{"author_position":"middle","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, Al-Jadriya 10071, Iraq"],"raw_orcid":"https://orcid.org/0000-0002-4121-0843","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, University of Baghdad, Al-Jadriya 10071, Iraq","institution_ids":["https://openalex.org/I135120706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010811055","display_name":"Marwah Abdulrazzaq Naser","orcid":"https://orcid.org/0000-0001-5686-2759"},"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":"Marwah Abdulrazzaq Naser","raw_affiliation_strings":["Continuous Education Center, University of Baghdad, Baghdad 10001, Iraq"],"raw_orcid":"https://orcid.org/0000-0001-5686-2759","affiliations":[{"raw_affiliation_string":"Continuous Education Center, University of Baghdad, Baghdad 10001, Iraq","institution_ids":["https://openalex.org/I135120706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067180435","display_name":"Muntadher Alsabah","orcid":"https://orcid.org/0000-0001-7937-3093"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Muntadher Qasim Alsabah","raw_affiliation_strings":["Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S1 4ET, UK"],"raw_orcid":"https://orcid.org/0000-0001-7937-3093","affiliations":[{"raw_affiliation_string":"Department of Electronic and Electrical Engineering, University of Sheffield, Sheffield S1 4ET, UK","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090510887","display_name":"Roslizah Ali","orcid":"https://orcid.org/0000-0002-1964-0791"},"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":"Roslizah Ali","raw_affiliation_strings":["Department of Computer and Communication Systems Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-1964-0791","affiliations":[{"raw_affiliation_string":"Department of Computer and Communication Systems Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Malaysia","institution_ids":["https://openalex.org/I130343225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047260709","display_name":"S. A. R. Al-Haddad","orcid":"https://orcid.org/0000-0001-5522-5096"},"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":true,"raw_author_name":"S. A. R. Al-Haddad","raw_affiliation_strings":["Department of Computer and Communication Systems Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Malaysia"],"raw_orcid":"https://orcid.org/0000-0001-5522-5096","affiliations":[{"raw_affiliation_string":"Department of Computer and Communication Systems Engineering, Faculty of Engineering, Universiti Putra Malaysia, Serdang 43400, Malaysia","institution_ids":["https://openalex.org/I130343225"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047260709"],"corresponding_institution_ids":["https://openalex.org/I130343225"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":3.3918,"has_fulltext":true,"cited_by_count":41,"citation_normalized_percentile":{"value":0.93810291,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"21","issue":"6","first_page":"1999","last_page":"1999"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13674","display_name":"Computer Science and Engineering","score":0.9503999948501587,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/numeral-system","display_name":"Numeral system","score":0.8482532501220703},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7274014949798584},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7214661836624146},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6842290163040161},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5830422639846802},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5673421025276184},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5320602059364319},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4522911608219147},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4386022686958313},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3590243458747864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14179599285125732}],"concepts":[{"id":"https://openalex.org/C204160518","wikidata":"https://www.wikidata.org/wiki/Q122653","display_name":"Numeral system","level":2,"score":0.8482532501220703},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7274014949798584},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7214661836624146},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6842290163040161},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5830422639846802},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5673421025276184},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5320602059364319},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4522911608219147},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4386022686958313},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3590243458747864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14179599285125732},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s21061999","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21061999","pdf_url":"https://www.mdpi.com/1424-8220/21/6/1999/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:33808986","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33808986","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:d6a35bcd4c3141738898d4928d5f77aa","is_oa":true,"landing_page_url":"https://doaj.org/article/d6a35bcd4c3141738898d4928d5f77aa","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 21, Iss 6, p 1999 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/21/6/1999/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s21061999","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 21; Issue 6; Pages: 1999","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7999013","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7999013","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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s21061999","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s21061999","pdf_url":"https://www.mdpi.com/1424-8220/21/6/1999/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6000000238418579,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3138211747.pdf","grobid_xml":"https://content.openalex.org/works/W3138211747.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W1936687626","https://openalex.org/W1964137961","https://openalex.org/W1987281309","https://openalex.org/W1996822305","https://openalex.org/W2012041290","https://openalex.org/W2019687194","https://openalex.org/W2029049225","https://openalex.org/W2064096728","https://openalex.org/W2069732313","https://openalex.org/W2099448539","https://openalex.org/W2110689527","https://openalex.org/W2112796928","https://openalex.org/W2125792038","https://openalex.org/W2131900289","https://openalex.org/W2136922672","https://openalex.org/W2137664016","https://openalex.org/W2145339207","https://openalex.org/W2148764126","https://openalex.org/W2149270675","https://openalex.org/W2153635508","https://openalex.org/W2162977486","https://openalex.org/W2170393096","https://openalex.org/W2296087620","https://openalex.org/W2336289561","https://openalex.org/W2344786740","https://openalex.org/W2540675799","https://openalex.org/W2543979876","https://openalex.org/W2588125578","https://openalex.org/W2592549397","https://openalex.org/W2744699531","https://openalex.org/W2753977426","https://openalex.org/W2756838982","https://openalex.org/W2767607030","https://openalex.org/W2789208526","https://openalex.org/W2790604742","https://openalex.org/W2791332649","https://openalex.org/W2900566859","https://openalex.org/W2918862646","https://openalex.org/W2940503387","https://openalex.org/W2941090763","https://openalex.org/W2950349545","https://openalex.org/W2964057032","https://openalex.org/W3014059577","https://openalex.org/W3016947664","https://openalex.org/W3033931948","https://openalex.org/W3035558131","https://openalex.org/W3047431414","https://openalex.org/W3102589887","https://openalex.org/W3112476779","https://openalex.org/W4392433647","https://openalex.org/W6697007601","https://openalex.org/W6748622668"],"related_works":["https://openalex.org/W2539042112","https://openalex.org/W587872652","https://openalex.org/W4234680390","https://openalex.org/W3202497208","https://openalex.org/W2378136823","https://openalex.org/W2376285871","https://openalex.org/W2389956414","https://openalex.org/W2379723120","https://openalex.org/W2025860571","https://openalex.org/W4313391810"],"abstract_inverted_index":{"Numeral":[0],"recognition":[1,20,29,40,55,112,137,193,207,216,246,253,297],"is":[2,57,115,123,173,187,268],"considered":[3],"an":[4],"essential":[5],"preliminary":[6],"step":[7],"for":[8,134,180],"optical":[9],"character":[10],"recognition,":[11],"document":[12],"understanding,":[13],"and":[14,31,52,108,143,197,274,285,303],"others.":[15],"Although":[16],"several":[17],"handwritten":[18,110,135],"numeral":[19,54,111,136,192,206],"algorithms":[21],"have":[22],"been":[23,166],"proposed":[24,185,205,223,240,266,290],"so":[25],"far,":[26],"achieving":[27],"adequate":[28],"accuracy":[30,41,63,202,211,247],"execution":[32],"time":[33],"remain":[34],"challenging":[35],"to":[36,75,175,294],"date.":[37],"In":[38,168,218],"particular,":[39],"depends":[42],"on":[43,84,89],"the":[44,61,66,79,118,149,155,160,177,181,201,204,210,214,222,226,239,244,251,257,261,265,271,276,283,286,289,295],"features":[45,67,145,179],"extraction":[46],"mechanism.":[47],"As":[48],"such,":[49],"a":[50,106,131,231],"fast":[51,71],"robust":[53,269],"method":[56,113,208,224,229,241,267],"essential,":[58],"which":[59,281],"meets":[60],"desired":[62],"by":[64,213],"extracting":[65],"efficiently":[68],"while":[69],"maintaining":[70],"implementation":[72],"time.":[73],"Furthermore,":[74],"date":[76],"most":[77,227],"of":[78,95,157,203,230,288],"existing":[80,252],"studies":[81],"are":[82,146],"focused":[83],"evaluating":[85],"their":[86,96],"methods":[87,254,298],"based":[88],"clean":[90,301],"environments,":[91],"thus":[92],"limiting":[93],"understanding":[94],"potential":[97],"application":[98],"in":[99,117,248,255,292],"more":[100,119,304],"realistic":[101,305],"noise":[102,272,302,306],"environments.":[103,307],"Therefore,":[104],"finding":[105],"feasible":[107],"accurate":[109,116],"that":[114,238,264],"practical":[120],"noisy":[121],"environment":[122],"crucial.":[124],"To":[125,153],"this":[126,128],"end,":[127],"paper":[129],"proposes":[130],"new":[132],"scheme":[133,186],"using":[138,148],"Hybrid":[139],"orthogonal":[140,151],"polynomials.":[141],"Gradient":[142],"smoothed":[144],"extracted":[147,178],"hybrid":[150],"polynomial.":[152],"reduce":[154],"complexity":[156],"feature":[158],"extraction,":[159],"embedded":[161],"image":[162],"kernel":[163],"technique":[164],"has":[165],"adopted.":[167],"addition,":[169,219],"support":[170],"vector":[171],"machine":[172],"used":[174],"classify":[176],"different":[182,191],"numerals.":[183],"The":[184,235],"evaluated":[188],"under":[189,299],"three":[190],"datasets:":[194],"Roman,":[195],"Arabic,":[196],"Devanagari.":[198],"We":[199],"compare":[200,221],"with":[209,225,250],"achieved":[212],"state-of-the-art":[215,296],"methods.":[217],"we":[220],"updated":[228],"convolutional":[232,277],"neural":[233,278],"network.":[234],"results":[236,262],"show":[237],"achieves":[242],"almost":[243],"highest":[245],"comparison":[249,293],"all":[256],"scenarios":[258],"considered.":[259],"Importantly,":[260],"demonstrate":[263],"against":[270],"distortion":[273],"outperforms":[275],"network":[279],"considerably,":[280],"signifies":[282],"feasibility":[284],"effectiveness":[287],"approach":[291],"both":[300]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":10}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}