{"id":"https://openalex.org/W2799836193","doi":"https://doi.org/10.1155/2018/7465026","title":"A Novel Method for Air Quality Data Imputation by Nuclear Norm Minimization","display_name":"A Novel Method for Air Quality Data Imputation by Nuclear Norm Minimization","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2799836193","doi":"https://doi.org/10.1155/2018/7465026","mag":"2799836193"},"language":"en","primary_location":{"id":"doi:10.1155/2018/7465026","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/7465026","pdf_url":"http://downloads.hindawi.com/journals/js/2018/7465026.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"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 Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://downloads.hindawi.com/journals/js/2018/7465026.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100333930","display_name":"Xiaobo Chen","orcid":"https://orcid.org/0000-0001-9940-1637"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaobo Chen","raw_affiliation_strings":["Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China","School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China"],"affiliations":[{"raw_affiliation_string":"Automotive Engineering Research Institute, Jiangsu University, Zhenjiang 212013, China","institution_ids":["https://openalex.org/I115592961"]},{"raw_affiliation_string":"School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang 212013, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027255721","display_name":"Yan Xiao","orcid":"https://orcid.org/0000-0002-2563-083X"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Xiao","raw_affiliation_strings":["School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, China"],"affiliations":[{"raw_affiliation_string":"School of Chemistry and Chemical Engineering, Jiangsu University, Zhenjiang 212013, China","institution_ids":["https://openalex.org/I115592961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100333930"],"corresponding_institution_ids":["https://openalex.org/I115592961"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.2608,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55349353,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2018","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9879999756813049,"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":0.9879999756813049,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9760000109672546,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10190","display_name":"Air Quality and Health Impacts","score":0.9602000117301941,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.8520359992980957},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.7617406845092773},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.6315599083900452},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.5388230085372925},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4879748225212097},{"id":"https://openalex.org/keywords/matrix-norm","display_name":"Matrix norm","score":0.43398404121398926},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4290064871311188},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.40827929973602295},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40288046002388},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36524417996406555},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2574595808982849},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07188862562179565}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.8520359992980957},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.7617406845092773},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.6315599083900452},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.5388230085372925},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4879748225212097},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.43398404121398926},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4290064871311188},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.40827929973602295},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40288046002388},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36524417996406555},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2574595808982849},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07188862562179565},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2018/7465026","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/7465026","pdf_url":"http://downloads.hindawi.com/journals/js/2018/7465026.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"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 Sensors","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:e860ee0ee167404682dc201ea2928a43","is_oa":true,"landing_page_url":"https://doaj.org/article/e860ee0ee167404682dc201ea2928a43","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Sensors, Vol 2018 (2018)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2018/7465026","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2018/7465026","pdf_url":"http://downloads.hindawi.com/journals/js/2018/7465026.pdf","source":{"id":"https://openalex.org/S96783963","display_name":"Journal of Sensors","issn_l":"1687-725X","issn":["1687-725X","1687-7268"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"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 Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life in Land","score":0.6299999952316284,"id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G1373617195","display_name":null,"funder_award_id":"61773184","funder_id":"https://openalex.org/F4320321410","funder_display_name":"Jiangsu University"},{"id":"https://openalex.org/G1920764813","display_name":null,"funder_award_id":"14JDG066","funder_id":"https://openalex.org/F4320321410","funder_display_name":"Jiangsu University"},{"id":"https://openalex.org/G5336214237","display_name":null,"funder_award_id":"61773184","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5913824422","display_name":null,"funder_award_id":"2017-JXQC-007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8760360333","display_name":null,"funder_award_id":"14JDG066","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8984005176","display_name":null,"funder_award_id":"2017-JXQC-007","funder_id":"https://openalex.org/F4320321410","funder_display_name":"Jiangsu University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321410","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2799836193.pdf","grobid_xml":"https://content.openalex.org/works/W2799836193.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W1964065566","https://openalex.org/W1968840994","https://openalex.org/W1969572019","https://openalex.org/W1981443767","https://openalex.org/W1982302025","https://openalex.org/W1985819320","https://openalex.org/W1998780131","https://openalex.org/W2001769681","https://openalex.org/W2002893394","https://openalex.org/W2017368465","https://openalex.org/W2031668066","https://openalex.org/W2049633694","https://openalex.org/W2081496269","https://openalex.org/W2094589433","https://openalex.org/W2100358124","https://openalex.org/W2103972604","https://openalex.org/W2109194254","https://openalex.org/W2111700774","https://openalex.org/W2174160981","https://openalex.org/W2208098886","https://openalex.org/W2303437212","https://openalex.org/W2338428422","https://openalex.org/W2611328865","https://openalex.org/W2726858467","https://openalex.org/W2792682332","https://openalex.org/W2912522929","https://openalex.org/W4229706427","https://openalex.org/W4250589301","https://openalex.org/W4300187280"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W2055961818","https://openalex.org/W2903115227","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W2081476516","https://openalex.org/W2581984549"],"abstract_inverted_index":{"Missing":[0],"data":[1,45,81,92,229,284],"is":[2,40,88],"a":[3,29,43,111,119,191,228],"frequently":[4],"encountered":[5],"problem":[6],"in":[7,26,37,65,75,118,212],"environment":[8],"research":[9],"community.":[10],"To":[11],"facilitate":[12],"the":[13,38,66,77,107,140,144,150,154,182,186,193,207,216,257,263,273],"analysis":[14],"and":[15,101,173],"management":[16],"of":[17,71,80,110,143,157,185,206,219,231,266,275],"air":[18,282],"quality":[19,283],"data,":[20],"for":[21,33,62,90,280],"example,":[22],"PM":[23,232],"2.5":[24,233],"concentration":[25,234],"this":[27,63,95],"study,":[28],"commonly":[30],"adopted":[31],"strategy":[32],"handling":[34],"missing":[35,91,135,244,281],"values":[36,136,245,253,260],"samples":[39,82,177,204],"to":[41,133,261],"generate":[42],"complete":[44],"set":[46,230],"using":[47],"imputation":[48,51,103,183,264],"methods.":[49,268],"Many":[50],"methods":[52,73,104,224],"based":[53,105],"on":[54,106,170,200,227],"temporal":[55],"or":[56],"spatial":[57],"correlation":[58],"have":[59],"been":[60],"developed":[61],"purpose":[64],"existing":[67],"literatures.":[68],"The":[69,122,159,222,243,251,269],"difference":[70],"various":[72],"lies":[74],"characterizing":[76],"dependence":[78,117,156],"relationship":[79],"with":[83,248,256],"different":[84,249,267],"mathematical":[85],"models,":[86],"which":[87,178],"crucial":[89],"imputation.":[93,285],"In":[94,189],"paper,":[96],"we":[97],"propose":[98],"two":[99,223],"novel":[100],"principled":[102],"nuclear":[108,128,141,164,194],"norm":[109,129,142,165,195],"matrix":[112,210],"since":[113],"it":[114],"measures":[115],"such":[116,190],"global":[120,127],"fashion.":[121],"first":[123,187],"method,":[124,161],"termed":[125],"as":[126,211],"minimization":[130,166,196],"(GNNM),":[131],"tries":[132],"impute":[134],"through":[137],"directly":[138],"minimizing":[139],"whole":[145,208],"sample":[146,172,209],"matrix,":[147],"thus":[148,214],"at":[149],"same":[151],"time":[152],"maximizing":[153],"linear":[155],"samples.":[158,221],"second":[160],"called":[162],"local":[163],"(LNNM),":[167],"concentrates":[168],"more":[169],"each":[171],"its":[174],"most":[175],"similar":[176],"are":[179,225,246,254],"estimated":[180],"from":[181],"results":[184,271],"method.":[188],"way,":[192],"can":[197],"be":[198],"performed":[199],"those":[201],"highly":[202],"correlated":[203],"instead":[205],"GNNM,":[213],"reducing":[215],"adverse":[217],"impact":[218],"irrelevant":[220],"evaluated":[226],"measured":[235],"every":[236],"1":[237],"h":[238],"by":[239],"22":[240],"monitoring":[241],"stations.":[242],"simulated":[247],"percentages.":[250],"imputed":[252],"compared":[255],"ground":[258],"truth":[259],"evaluate":[262],"performance":[265],"experimental":[270],"verify":[272],"effectiveness":[274],"our":[276],"methods,":[277],"especially":[278],"LNNM,":[279]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}