{"id":"https://openalex.org/W2800494913","doi":"https://doi.org/10.3390/s18051443","title":"Developing a Mixed Neural Network Approach to Forecast the Residential Electricity Consumption Based on Sensor Recorded Data","display_name":"Developing a Mixed Neural Network Approach to Forecast the Residential Electricity Consumption Based on Sensor Recorded Data","publication_year":2018,"publication_date":"2018-05-05","ids":{"openalex":"https://openalex.org/W2800494913","doi":"https://doi.org/10.3390/s18051443","mag":"2800494913","pmid":"https://pubmed.ncbi.nlm.nih.gov/29734761"},"language":"en","primary_location":{"id":"doi:10.3390/s18051443","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18051443","pdf_url":null,"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://doi.org/10.3390/s18051443","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035700125","display_name":"Simona\u2010Vasilica Oprea","orcid":"https://orcid.org/0000-0002-9005-5181"},"institutions":[{"id":"https://openalex.org/I88491126","display_name":"Bucharest University of Economic Studies","ror":"https://ror.org/04yvncj21","country_code":"RO","type":"education","lineage":["https://openalex.org/I88491126"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Simona-Vasilica Oprea","raw_affiliation_strings":["Department of Economic Informatics and Cybernetics, The Bucharest Academy of Economic Studies, Romana Square 6, Bucharest 010374, Romania"],"raw_orcid":"https://orcid.org/0000-0002-9005-5181","affiliations":[{"raw_affiliation_string":"Department of Economic Informatics and Cybernetics, The Bucharest Academy of Economic Studies, Romana Square 6, Bucharest 010374, Romania","institution_ids":["https://openalex.org/I88491126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088191183","display_name":"Alexandru P\u00eerjan","orcid":"https://orcid.org/0000-0002-7381-1934"},"institutions":[{"id":"https://openalex.org/I171711596","display_name":"Romanian-American University","ror":"https://ror.org/028jcy673","country_code":"RO","type":"education","lineage":["https://openalex.org/I171711596"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Alexandru P\u00eerjan","raw_affiliation_strings":["Department of Informatics, Statistics and Mathematics, Romanian-American University, Expozi\u021biei 1B, Bucharest 012101, Romania"],"raw_orcid":"https://orcid.org/0000-0002-7381-1934","affiliations":[{"raw_affiliation_string":"Department of Informatics, Statistics and Mathematics, Romanian-American University, Expozi\u021biei 1B, Bucharest 012101, Romania","institution_ids":["https://openalex.org/I171711596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065408898","display_name":"George C\u0103ru\u021ba\u0219u","orcid":"https://orcid.org/0000-0001-7764-2405"},"institutions":[{"id":"https://openalex.org/I171711596","display_name":"Romanian-American University","ror":"https://ror.org/028jcy673","country_code":"RO","type":"education","lineage":["https://openalex.org/I171711596"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"George C\u0103ru\u021ba\u0219u","raw_affiliation_strings":["Department of Informatics, Statistics and Mathematics, Romanian-American University, Expozi\u021biei 1B, Bucharest 012101, Romania"],"raw_orcid":"https://orcid.org/0000-0001-7764-2405","affiliations":[{"raw_affiliation_string":"Department of Informatics, Statistics and Mathematics, Romanian-American University, Expozi\u021biei 1B, Bucharest 012101, Romania","institution_ids":["https://openalex.org/I171711596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072163832","display_name":"Dana-Mihaela Petro\u0219anu","orcid":"https://orcid.org/0000-0002-1080-1464"},"institutions":[{"id":"https://openalex.org/I171711596","display_name":"Romanian-American University","ror":"https://ror.org/028jcy673","country_code":"RO","type":"education","lineage":["https://openalex.org/I171711596"]},{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Dana-Mihaela Petro\u0219anu","raw_affiliation_strings":["Department of Informatics, Statistics and Mathematics, Romanian-American University, Expozi\u021biei 1B, Bucharest 012101, Romania","Department of Mathematics-Informatics, University Politehnica of Bucharest, Splaiul Independen\u021bei 313, Bucharest 060042, Romania"],"raw_orcid":"https://orcid.org/0000-0002-1080-1464","affiliations":[{"raw_affiliation_string":"Department of Informatics, Statistics and Mathematics, Romanian-American University, Expozi\u021biei 1B, Bucharest 012101, Romania","institution_ids":["https://openalex.org/I171711596"]},{"raw_affiliation_string":"Department of Mathematics-Informatics, University Politehnica of Bucharest, Splaiul Independen\u021bei 313, Bucharest 060042, Romania","institution_ids":["https://openalex.org/I61641377"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072430260","display_name":"Adela B\u00e2r\u00e3","orcid":"https://orcid.org/0000-0002-0961-352X"},"institutions":[{"id":"https://openalex.org/I88491126","display_name":"Bucharest University of Economic Studies","ror":"https://ror.org/04yvncj21","country_code":"RO","type":"education","lineage":["https://openalex.org/I88491126"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Adela B\u00e2ra","raw_affiliation_strings":["Department of Economic Informatics and Cybernetics, The Bucharest Academy of Economic Studies, Romana Square 6, Bucharest 010374, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Economic Informatics and Cybernetics, The Bucharest Academy of Economic Studies, Romana Square 6, Bucharest 010374, Romania","institution_ids":["https://openalex.org/I88491126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014292026","display_name":"Justina-Lavinia St\u0103nic\u0103","orcid":null},"institutions":[{"id":"https://openalex.org/I171711596","display_name":"Romanian-American University","ror":"https://ror.org/028jcy673","country_code":"RO","type":"education","lineage":["https://openalex.org/I171711596"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Justina-Lavinia St\u0103nic\u0103","raw_affiliation_strings":["Department of Informatics, Statistics and Mathematics, Romanian-American University, Expozi\u021biei 1B, Bucharest 012101, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Statistics and Mathematics, Romanian-American University, Expozi\u021biei 1B, Bucharest 012101, Romania","institution_ids":["https://openalex.org/I171711596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053071238","display_name":"Cristina Coculescu","orcid":"https://orcid.org/0000-0003-2383-7578"},"institutions":[{"id":"https://openalex.org/I171711596","display_name":"Romanian-American University","ror":"https://ror.org/028jcy673","country_code":"RO","type":"education","lineage":["https://openalex.org/I171711596"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Cristina Coculescu","raw_affiliation_strings":["Department of Informatics, Statistics and Mathematics, Romanian-American University, Expozi\u021biei 1B, Bucharest 012101, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Informatics, Statistics and Mathematics, Romanian-American University, Expozi\u021biei 1B, Bucharest 012101, Romania","institution_ids":["https://openalex.org/I171711596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5088191183"],"corresponding_institution_ids":["https://openalex.org/I171711596"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":2.0944,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.87682208,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"18","issue":"5","first_page":"1443","last_page":"1443"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9983000159263611,"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"}},"topics":[{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9983000159263611,"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/T10603","display_name":"Smart Grid Energy Management","score":0.9951000213623047,"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/T10121","display_name":"Building Energy and Comfort Optimization","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/nonlinear-autoregressive-exogenous-model","display_name":"Nonlinear autoregressive exogenous model","score":0.833128035068512},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6806693077087402},{"id":"https://openalex.org/keywords/electricity","display_name":"Electricity","score":0.663382351398468},{"id":"https://openalex.org/keywords/timestamp","display_name":"Timestamp","score":0.6596376895904541},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5706255435943604},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.5593690276145935},{"id":"https://openalex.org/keywords/consumption","display_name":"Consumption (sociology)","score":0.4914504289627075},{"id":"https://openalex.org/keywords/metering-mode","display_name":"Metering mode","score":0.4330870509147644},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.42886096239089966},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3796112835407257},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3743239939212799},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.25158989429473877},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25004178285598755},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.18822619318962097}],"concepts":[{"id":"https://openalex.org/C42536954","wikidata":"https://www.wikidata.org/wiki/Q7049462","display_name":"Nonlinear autoregressive exogenous model","level":3,"score":0.833128035068512},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6806693077087402},{"id":"https://openalex.org/C206658404","wikidata":"https://www.wikidata.org/wiki/Q12725","display_name":"Electricity","level":2,"score":0.663382351398468},{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.6596376895904541},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5706255435943604},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5593690276145935},{"id":"https://openalex.org/C30772137","wikidata":"https://www.wikidata.org/wiki/Q5164762","display_name":"Consumption (sociology)","level":2,"score":0.4914504289627075},{"id":"https://openalex.org/C30905978","wikidata":"https://www.wikidata.org/wiki/Q815598","display_name":"Metering mode","level":2,"score":0.4330870509147644},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.42886096239089966},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3796112835407257},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3743239939212799},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25158989429473877},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25004178285598755},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.18822619318962097},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/s18051443","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18051443","pdf_url":null,"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:29734761","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29734761","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:europepmc.org:4940472","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5981650","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:/1424-8220/18/5/1443/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s18051443","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 18; Issue 5; Pages: 1443","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s18051443","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s18051443","pdf_url":null,"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":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8600000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2050801486","https://openalex.org/W2051812123","https://openalex.org/W2087070363","https://openalex.org/W2158443751","https://openalex.org/W2178310074","https://openalex.org/W2256578114","https://openalex.org/W2338117734","https://openalex.org/W2500095256","https://openalex.org/W2511753245","https://openalex.org/W2529263555","https://openalex.org/W2543643230","https://openalex.org/W2561043568","https://openalex.org/W2563494136","https://openalex.org/W2566997886","https://openalex.org/W2586636870","https://openalex.org/W2597698998","https://openalex.org/W2609794113","https://openalex.org/W2725436513","https://openalex.org/W2734468743","https://openalex.org/W2745847224","https://openalex.org/W2753975966","https://openalex.org/W2762503529","https://openalex.org/W2767100009","https://openalex.org/W2767792830","https://openalex.org/W2770043415","https://openalex.org/W2773412789","https://openalex.org/W2781877198","https://openalex.org/W2786295925","https://openalex.org/W2787265079","https://openalex.org/W2789903093","https://openalex.org/W2911546748","https://openalex.org/W3104996215","https://openalex.org/W6682993486","https://openalex.org/W6728154360","https://openalex.org/W6748811057"],"related_works":["https://openalex.org/W3210444226","https://openalex.org/W2177401844","https://openalex.org/W2904357295","https://openalex.org/W2902707689","https://openalex.org/W2511753245","https://openalex.org/W4225851526","https://openalex.org/W2990899954","https://openalex.org/W4253666091","https://openalex.org/W4327796184","https://openalex.org/W2089574997"],"abstract_inverted_index":{"In":[0,92],"this":[1,93],"paper,":[2],"we":[3,95,145,162],"report":[4],"a":[5,9,15,50,84,98,123,135,172,185,188],"study":[6],"having":[7,61,155],"as":[8,49,151,184],"main":[10],"goal":[11],"the":[12,24,32,57,67,70,78,89,142,159,178,193],"obtaining":[13],"of":[14,23,52,59,69,137,168],"method":[16],"that":[17,44,180],"can":[18,181],"provide":[19,182],"an":[20],"accurate":[21,80],"forecast":[22],"residential":[25,40,196],"electricity":[26,128],"consumption,":[27],"refining":[28],"it":[29,165,170,183],"up":[30],"to":[31,72,88,177,191],"appliance":[33],"level,":[34],"using":[35,105],"sensor":[36],"recorded":[37,131],"data,":[38],"for":[39,187],"smart":[41],"homes":[42],"complexes":[43],"use":[45],"renewable":[46],"energy":[47],"sources":[48],"part":[51],"their":[53],"consumed":[54],"electricity,":[55],"overcoming":[56],"limitations":[58],"not":[60],"available":[62],"historical":[63],"meteorological":[64],"data":[65,75,130],"and":[66,114,157,195],"unwillingness":[68],"contractor":[71,179],"acquire":[73],"such":[74],"periodically":[76],"in":[77,141,166],"future":[79],"short-term":[81],"forecasts":[82],"from":[83],"specialized":[85],"institute":[86],"due":[87],"implied":[90],"costs.":[91],"purpose,":[94],"have":[96,121,146,163],"developed":[97,156],"mixed":[99],"artificial":[100],"neural":[101,117],"network":[102],"(ANN)":[103],"approach":[104],"both":[106,192],"non-linear":[107],"autoregressive":[108],"with":[109],"exogenous":[110,152],"input":[111],"(NARX)":[112],"ANNs":[113],"function":[115],"fitting":[116],"networks":[118],"(FITNETs).":[119],"We":[120],"used":[122,148],"large":[124],"dataset":[125],"containing":[126],"detailed":[127],"consumption":[129],"by":[132],"sensors,":[133],"monitoring":[134],"series":[136],"individual":[138],"appliances,":[139],"while":[140],"NARX":[143],"case":[144],"also":[147],"timestamps":[149],"datasets":[150],"variables.":[153],"After":[154],"validated":[158],"forecasting":[160],"method,":[161],"compiled":[164],"view":[167],"incorporating":[169],"into":[171],"cloud":[173],"solution,":[174],"being":[175],"delivered":[176],"service":[186],"monthly":[189],"fee":[190],"operators":[194],"consumers.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
