{"id":"https://openalex.org/W4404520619","doi":"https://doi.org/10.1109/tnnls.2024.3495990","title":"Spatiotemporal Imputation of Traffic Emissions With Self-Supervised Diffusion Model","display_name":"Spatiotemporal Imputation of Traffic Emissions With Self-Supervised Diffusion Model","publication_year":2024,"publication_date":"2024-11-19","ids":{"openalex":"https://openalex.org/W4404520619","doi":"https://doi.org/10.1109/tnnls.2024.3495990","pmid":"https://pubmed.ncbi.nlm.nih.gov/40030389"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2024.3495990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3495990","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017172644","display_name":"Lihong Pei","orcid":"https://orcid.org/0000-0001-9921-3126"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lihong Pei","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yang Cao","orcid":"https://orcid.org/0000-0002-2891-4379"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Cao","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025987638","display_name":"Yu Kang","orcid":"https://orcid.org/0000-0002-8706-3252"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Kang","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023709250","display_name":"Zhenyi Xu","orcid":"https://orcid.org/0000-0002-5804-882X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenyi Xu","raw_affiliation_strings":["Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027280469","display_name":"Qianming Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qianming Liu","raw_affiliation_strings":["Department of Automation, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5017172644"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.7968,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71723916,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"36","issue":"6","first_page":"10928","last_page":"10942"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9921000003814697,"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"}},"topics":[{"id":"https://openalex.org/T12095","display_name":"Vehicle emissions and performance","score":0.9921000003814697,"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"}},{"id":"https://openalex.org/T10190","display_name":"Air Quality and Health Impacts","score":0.9772999882698059,"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"}},{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9592000246047974,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.7498990297317505},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46335580945014954},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.40967878699302673},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.38039880990982056},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3731197714805603},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3648906946182251},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3208439350128174},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.2780809998512268},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21550774574279785},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2094818651676178}],"concepts":[{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.7498990297317505},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46335580945014954},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.40967878699302673},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.38039880990982056},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3731197714805603},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3648906946182251},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3208439350128174},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.2780809998512268},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21550774574279785},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2094818651676178}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2024.3495990","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2024.3495990","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:40030389","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40030389","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":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G468336064","display_name":null,"funder_award_id":"202003a07020009","funder_id":"https://openalex.org/F4320335960","funder_display_name":"National Major Science and Technology Projects of China"},{"id":"https://openalex.org/G5478964503","display_name":null,"funder_award_id":"62033012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G88965110","display_name":null,"funder_award_id":"62103124","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/F4320335960","display_name":"National Major Science and Technology Projects of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1966518060","https://openalex.org/W2083487794","https://openalex.org/W2789819752","https://openalex.org/W2955114618","https://openalex.org/W2963933466","https://openalex.org/W2965341826","https://openalex.org/W3007489912","https://openalex.org/W3046470859","https://openalex.org/W3048058014","https://openalex.org/W3080850015","https://openalex.org/W3138726933","https://openalex.org/W3165634358","https://openalex.org/W3174697924","https://openalex.org/W3195115448","https://openalex.org/W3197481755","https://openalex.org/W3202635391","https://openalex.org/W4214721462","https://openalex.org/W4229002088","https://openalex.org/W4281257454","https://openalex.org/W4285147743","https://openalex.org/W4285160778","https://openalex.org/W4287203953","https://openalex.org/W4290876361","https://openalex.org/W4295909205","https://openalex.org/W4306317273","https://openalex.org/W4319335604","https://openalex.org/W4366371429","https://openalex.org/W4367298484","https://openalex.org/W4367299897","https://openalex.org/W4377234446","https://openalex.org/W4378697328","https://openalex.org/W4382203079","https://openalex.org/W4382240004","https://openalex.org/W4382316621","https://openalex.org/W4384819436","https://openalex.org/W4385270120","https://openalex.org/W4385337005","https://openalex.org/W4386321962","https://openalex.org/W4391248980","https://openalex.org/W4393793169","https://openalex.org/W4399422320","https://openalex.org/W4401863578","https://openalex.org/W6751145664","https://openalex.org/W6752046673","https://openalex.org/W6769193720","https://openalex.org/W6771876938","https://openalex.org/W6779823529","https://openalex.org/W6779894915","https://openalex.org/W6798447524","https://openalex.org/W6799025473","https://openalex.org/W6840585966","https://openalex.org/W6845625448","https://openalex.org/W6849575128","https://openalex.org/W6853211943","https://openalex.org/W6855204797","https://openalex.org/W6861991748"],"related_works":["https://openalex.org/W4211215373","https://openalex.org/W3217094455","https://openalex.org/W3119637569","https://openalex.org/W2989589450","https://openalex.org/W2405773734","https://openalex.org/W3123325766","https://openalex.org/W2791189374","https://openalex.org/W4403319084","https://openalex.org/W2374234271","https://openalex.org/W3208043357"],"abstract_inverted_index":{"The":[0,33,51,173],"comprehensive":[1],"regulatory":[2],"oversight":[3],"of":[4,58,72,85,111,130,148,159,188,221],"traffic":[5,86,112,131],"emissions":[6,87,113],"frequently":[7],"encounters":[8],"the":[9,16,39,56,59,69,73,80,126,136,141,170,189,195,200,208],"missing":[10,19,36,60,74,138,222],"not-at-random":[11],"(MNAR)":[12],"pattern,":[13],"characterized":[14],"by":[15],"long-term":[17],"block":[18,35],"in":[20,45,62,91,169,199,212],"adjacent":[21],"road":[22],"segments,":[23],"arising":[24],"from":[25,194],"insufficient":[26],"monitoring":[27],"points":[28],"and":[29,66,82,151,175,186,218],"nonuniform":[30],"spatiotemporal":[31,34,40,46,83,93,216],"distribution.":[32],"simultaneously":[37],"disrupts":[38],"correlation,":[41],"introducing":[42,135],"significant":[43],"biases":[44,164],"modeling":[47,163,177,191],"for":[48,108,140],"incomplete":[49,167],"data.":[50,223],"emerging":[52],"diffusion":[53,142],"model":[54],"recovers":[55],"information":[57],"regions":[61,75],"a":[63,102,116],"self-supervised":[64,117],"manner":[65],"focuses":[67],"on":[68],"generation":[70,171],"process":[71],"to":[76,124,156],"address":[77,96],"biases.":[78],"However,":[79],"dynamics":[81],"heterogeneity":[84],"limit":[88],"its":[89],"applicability":[90],"unknown":[92],"missing.":[94],"To":[95],"this":[97,99],"issue,":[98],"article":[100],"proposes":[101],"novel":[103],"progressive":[104],"Diffusion":[105],"Model-based":[106],"framework":[107],"SpatioTemporal":[109],"Imputation":[110],"(STI-dm).":[114],"Specifically,":[115],"masked":[118],"training":[119],"strategy":[120],"is":[121,154],"first":[122],"devised":[123],"construct":[125],"nonlocal":[127,160],"similarity":[128],"prior":[129,176],"emission":[132],"data,":[133],"explicitly":[134],"MNAR":[137],"mechanism":[139],"process.":[143,172],"Furthermore,":[144],"an":[145],"enhanced":[146],"approach":[147],"noise":[149],"injection":[150],"supervised":[152],"denoising":[153],"adopted":[155],"rectify":[157],"misconceptions":[158],"alignment,":[161],"decreasing":[162],"associated":[165],"with":[166,214],"data":[168],"imputation":[174],"processes":[178,192],"are":[179],"progressively":[180],"performed":[181],"until":[182],"obtaining":[183],"stable":[184],"results,":[185],"each":[187],"preceding":[190],"benefits":[193],"gradual":[196],"improvement":[197],"results":[198],"other.":[201],"Experimental":[202],"evidence":[203],"indicates":[204],"that":[205],"STI-dm":[206],"surpasses":[207],"current":[209],"state-of-the-art":[210],"algorithms":[211],"scenarios":[213],"intricate":[215],"patterns":[217],"varying":[219],"rates":[220]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
