{"id":"https://openalex.org/W4393053931","doi":"https://doi.org/10.1186/s13677-024-00598-9","title":"AIoT-driven multi-source sensor emission monitoring and forecasting using multi-source sensor integration with reduced noise series decomposition","display_name":"AIoT-driven multi-source sensor emission monitoring and forecasting using multi-source sensor integration with reduced noise series decomposition","publication_year":2024,"publication_date":"2024-03-21","ids":{"openalex":"https://openalex.org/W4393053931","doi":"https://doi.org/10.1186/s13677-024-00598-9"},"language":"en","primary_location":{"id":"doi:10.1186/s13677-024-00598-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13677-024-00598-9","pdf_url":"https://journalofcloudcomputing.springeropen.com/counter/pdf/10.1186/s13677-024-00598-9","source":{"id":"https://openalex.org/S2486819371","display_name":"Journal of Cloud Computing Advances Systems and Applications","issn_l":"2192-113X","issn":["2192-113X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cloud Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofcloudcomputing.springeropen.com/counter/pdf/10.1186/s13677-024-00598-9","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033258501","display_name":"Mughair Aslam Bhatti","orcid":"https://orcid.org/0009-0009-8409-3745"},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]},{"id":"https://openalex.org/I4210141657","display_name":"Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application","ror":"https://ror.org/045yewh40","country_code":"CN","type":"facility","lineage":["https://openalex.org/I152031979","https://openalex.org/I4210141657"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mughair Aslam Bhatti","raw_affiliation_strings":["Jiangsu Center for Collaborative Innovation in Geographical Information, Resource Development and Application, Nanjing, 210023, China","School of Geography, Nanjing Normal University, Nanjing, 210023, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Center for Collaborative Innovation in Geographical Information, Resource Development and Application, Nanjing, 210023, China","institution_ids":["https://openalex.org/I4210141657"]},{"raw_affiliation_string":"School of Geography, Nanjing Normal University, Nanjing, 210023, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100850126","display_name":"Zhiyao Song","orcid":null},"institutions":[{"id":"https://openalex.org/I152031979","display_name":"Nanjing Normal University","ror":"https://ror.org/036trcv74","country_code":"CN","type":"education","lineage":["https://openalex.org/I152031979"]},{"id":"https://openalex.org/I4210141657","display_name":"Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application","ror":"https://ror.org/045yewh40","country_code":"CN","type":"facility","lineage":["https://openalex.org/I152031979","https://openalex.org/I4210141657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyao Song","raw_affiliation_strings":["Jiangsu Center for Collaborative Innovation in Geographical Information, Resource Development and Application, Nanjing, 210023, China","School of Geography, Nanjing Normal University, Nanjing, 210023, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Center for Collaborative Innovation in Geographical Information, Resource Development and Application, Nanjing, 210023, China","institution_ids":["https://openalex.org/I4210141657"]},{"raw_affiliation_string":"School of Geography, Nanjing Normal University, Nanjing, 210023, China","institution_ids":["https://openalex.org/I152031979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061187994","display_name":"Uzair Aslam Bhatti","orcid":"https://orcid.org/0000-0002-8743-2783"},"institutions":[{"id":"https://openalex.org/I20942203","display_name":"Hainan University","ror":"https://ror.org/03q648j11","country_code":"CN","type":"education","lineage":["https://openalex.org/I20942203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Uzair Aslam Bhatti","raw_affiliation_strings":["School of Information and Communication Engineering, Hainan University, Haikou, 570100, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, Hainan University, Haikou, 570100, China","institution_ids":["https://openalex.org/I20942203"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057598276","display_name":"Syam M. S","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Syam M. S","raw_affiliation_strings":["Guangdong-Hong Kong-Macao GBA New Generation Intelligent IoT Research Center, Shenzhen University, Shenzhen, 518060, Guangdong, China"],"affiliations":[{"raw_affiliation_string":"Guangdong-Hong Kong-Macao GBA New Generation Intelligent IoT Research Center, Shenzhen University, Shenzhen, 518060, Guangdong, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5033258501"],"corresponding_institution_ids":["https://openalex.org/I152031979","https://openalex.org/I4210141657"],"apc_list":{"value":990,"currency":"GBP","value_usd":1214},"apc_paid":{"value":990,"currency":"GBP","value_usd":1214},"fwci":6.7418,"has_fulltext":true,"cited_by_count":34,"citation_normalized_percentile":{"value":0.97882347,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"13","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9729999899864197,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/decomposition","display_name":"Decomposition","score":0.659741997718811},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6395841836929321},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5742287635803223},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5525873303413391},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4536905884742737},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.36842167377471924},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.34374886751174927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2200183868408203},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12757393717765808},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.06941679120063782}],"concepts":[{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.659741997718811},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6395841836929321},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5742287635803223},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5525873303413391},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4536905884742737},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.36842167377471924},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34374886751174927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2200183868408203},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12757393717765808},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.06941679120063782},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13677-024-00598-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13677-024-00598-9","pdf_url":"https://journalofcloudcomputing.springeropen.com/counter/pdf/10.1186/s13677-024-00598-9","source":{"id":"https://openalex.org/S2486819371","display_name":"Journal of Cloud Computing Advances Systems and Applications","issn_l":"2192-113X","issn":["2192-113X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cloud Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bfac4e563916476387539b6c063aadc2","is_oa":true,"landing_page_url":"https://doaj.org/article/bfac4e563916476387539b6c063aadc2","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-18 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13677-024-00598-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13677-024-00598-9","pdf_url":"https://journalofcloudcomputing.springeropen.com/counter/pdf/10.1186/s13677-024-00598-9","source":{"id":"https://openalex.org/S2486819371","display_name":"Journal of Cloud Computing Advances Systems and Applications","issn_l":"2192-113X","issn":["2192-113X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Cloud Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5799999833106995,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3028588627","display_name":null,"funder_award_id":"RSPD-2023R668","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3085993365","display_name":null,"funder_award_id":"(Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3091557975","display_name":null,"funder_award_id":"42171456","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6100908006","display_name":null,"funder_award_id":"111002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7164151747","display_name":null,"funder_award_id":"U181146","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7290667635","display_name":null,"funder_award_id":"RSPD-2023R668","funder_id":"https://openalex.org/F4320321145","funder_display_name":"King Saud University"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8239988234","display_name":null,"funder_award_id":"Riyadh","funder_id":"https://openalex.org/F4320321145","funder_display_name":"King Saud University"},{"id":"https://openalex.org/G8452570760","display_name":null,"funder_award_id":"U1811464","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8513333314","display_name":null,"funder_award_id":"2021ZD01","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"},{"id":"https://openalex.org/F4320321145","display_name":"King Saud University","ror":"https://ror.org/02f81g417"},{"id":"https://openalex.org/F4320323370","display_name":"Hainan University","ror":"https://ror.org/03q648j11"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4393053931.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W2767894694","https://openalex.org/W2807252330","https://openalex.org/W2960828389","https://openalex.org/W2983199727","https://openalex.org/W3001909761","https://openalex.org/W3007912973","https://openalex.org/W3012562343","https://openalex.org/W3022787740","https://openalex.org/W3035096461","https://openalex.org/W3040211378","https://openalex.org/W3046470859","https://openalex.org/W3090232294","https://openalex.org/W3102963309","https://openalex.org/W3123995874","https://openalex.org/W3134327046","https://openalex.org/W3136999308","https://openalex.org/W3210401082","https://openalex.org/W3217241559","https://openalex.org/W4200026345","https://openalex.org/W4211232841","https://openalex.org/W4220908328","https://openalex.org/W4221074749","https://openalex.org/W4221102686","https://openalex.org/W4225698213","https://openalex.org/W4226278577","https://openalex.org/W4296784053","https://openalex.org/W4306769796","https://openalex.org/W4307571749","https://openalex.org/W4307728391","https://openalex.org/W4308970411","https://openalex.org/W4315632175","https://openalex.org/W4319438824","https://openalex.org/W4319600113","https://openalex.org/W4364376354","https://openalex.org/W4365443756","https://openalex.org/W4377221260","https://openalex.org/W4381250019","https://openalex.org/W4381792413","https://openalex.org/W4385758738","https://openalex.org/W4387503697","https://openalex.org/W4387633870","https://openalex.org/W6600175266"],"related_works":["https://openalex.org/W1919101720","https://openalex.org/W2121524756","https://openalex.org/W4390822878","https://openalex.org/W782553550","https://openalex.org/W96888382","https://openalex.org/W2041308758","https://openalex.org/W4386126592","https://openalex.org/W1987967678","https://openalex.org/W4392529072","https://openalex.org/W2380059383"],"abstract_inverted_index":{"Abstract":[0],"The":[1,160,225],"integration":[2],"of":[3,10,26,44,88,95,156,223,227,254,258,263,273,288],"multi-source":[4],"sensors":[5],"based":[6],"AIoT":[7],"(Artificial":[8],"Intelligence":[9],"Things)":[11],"technologies":[12],"into":[13],"air":[14,74,89,157,166,232,243,274],"quality":[15,75,90,158,275],"measurement":[16],"and":[17,28,34,62,92,126,184,194,219,261,282,292],"forecasting":[18],"is":[19,163],"becoming":[20],"increasingly":[21],"critical":[22],"in":[23,72,77,172,201,231,242,285],"the":[24,42,86,93,108,117,267,271,286],"fields":[25],"sustainable":[27,289],"smart":[29],"environmental":[30,293],"design,":[31],"urban":[32,290],"development,":[33],"pollution":[35,167,233],"control.":[36],"This":[37,112,249],"study":[38,106],"focuses":[39],"on":[40,50],"enhancing":[41],"prediction":[43,155,234],"emission,":[45],"with":[46,133],"a":[47,147],"special":[48],"emphasis":[49],"pollutants,":[51],"utilizing":[52],"advanced":[53],"deep":[54,179],"learning":[55,180],"(DL)":[56],"techniques.":[57],"Recurrent":[58],"neural":[59,67],"networks":[60,68],"(RNNs)":[61],"long":[63],"short-term":[64],"memory":[65],"(LSTM)":[66],"have":[69],"shown":[70],"promise":[71],"predicting":[73],"trends":[76],"time":[78],"series":[79,185],"data.":[80],"However,":[81],"challenges":[82],"persist":[83],"due":[84],"to":[85,136,237,279],"unpredictability":[87],"data":[91,98,196],"scarcity":[94],"long-term":[96],"historical":[97],"for":[99],"training.":[100],"To":[101],"address":[102],"these":[103],"challenges,":[104],"this":[105,228],"introduces":[107],"AIoT-enhanced":[109,229],"EEMD-CEEMDAN-GCN":[110],"model.":[111],"innovative":[113],"approach":[114],"involves":[115],"decomposing":[116],"input":[118],"signal":[119],"using":[120,165],"EEMD":[121],"(Ensemble":[122],"Empirical":[123,130],"Mode":[124,131],"Decomposition)":[125],"CEEMDAN":[127],"(Complete":[128],"Ensemble":[129],"Decomposition":[132],"Adaptive":[134],"Noise)":[135],"extract":[137],"intrinsic":[138],"mode":[139],"functions.":[140],"These":[141],"functions":[142],"are":[143],"then":[144],"processed":[145],"through":[146],"GCN":[148],"(Graph":[149],"Convolutional":[150],"Network)":[151],"model,":[152],"enabling":[153],"precise":[154],"trends.":[159],"model\u2019s":[161],"effectiveness":[162],"validated":[164],"datasets":[168],"from":[169],"four":[170],"provinces":[171],"China,":[173],"demonstrating":[174],"its":[175],"superiority":[176],"over":[177],"various":[178],"models":[181,187,200],"(GCN,":[182],"EMD-GCN)":[183],"decomposition":[186],"(EEMD-GCN,":[188],"CEEMDAN-GCN).":[189],"It":[190],"achieves":[191],"higher":[192],"accuracy":[193],"better":[195],"fitting,":[197],"outperforming":[198],"other":[199],"key":[202],"metrics":[203],"such":[204],"as":[205],"MAE":[206],"(Mean":[207,211,215],"Absolute":[208,216],"Error),":[209,213,218],"MSE":[210],"Squared":[212],"MAPE":[214],"Percentage":[217],"R":[220],"2":[221],"(Coefficient":[222],"Determination).":[224],"implementation":[226],"model":[230,268],"allows":[235],"decision-makers":[236],"more":[238,251],"accurately":[239],"anticipate":[240],"changes":[241],"quality,":[244],"particularly":[245],"concerning":[246],"carbon":[247],"emissions.":[248],"facilitates":[250],"effective":[252],"planning":[253],"mitigation":[255],"measures,":[256],"improvement":[257],"public":[259],"health,":[260],"optimization":[262],"resource":[264],"allocation.":[265],"Moreover,":[266],"adeptly":[269],"addresses":[270],"complexities":[272],"data,":[276],"contributing":[277],"significantly":[278],"enhanced":[280],"monitoring":[281],"management":[283],"strategies":[284],"context":[287],"development":[291],"conservation.":[294]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":12}],"updated_date":"2026-04-20T07:46:08.049788","created_date":"2025-10-10T00:00:00"}