{"id":"https://openalex.org/W2973494134","doi":"https://doi.org/10.1109/access.2019.2941732","title":"Regional Spatiotemporal Collaborative Prediction Model for Air Quality","display_name":"Regional Spatiotemporal Collaborative Prediction Model for Air Quality","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2973494134","doi":"https://doi.org/10.1109/access.2019.2941732","mag":"2973494134"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2941732","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2941732","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08842551.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08842551.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055957685","display_name":"Guyu Zhao","orcid":"https://orcid.org/0000-0002-1198-8662"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guyu Zhao","raw_affiliation_strings":["College of Information Science and Engineering, Yanshan University, Qinhuangdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087649606","display_name":"Guoyan Huang","orcid":"https://orcid.org/0000-0003-0655-4947"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoyan Huang","raw_affiliation_strings":["College of Information Science and Engineering, Yanshan University, Qinhuangdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077981451","display_name":"Hongdou He","orcid":"https://orcid.org/0000-0002-8801-8349"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongdou He","raw_affiliation_strings":["College of Information Science and Engineering, Yanshan University, Qinhuangdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100730977","display_name":"Haitao He","orcid":"https://orcid.org/0000-0001-9338-5605"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haitao He","raw_affiliation_strings":["College of Information Science and Engineering, Yanshan University, Qinhuangdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102869188","display_name":"Jiadong Ren","orcid":"https://orcid.org/0000-0002-2245-9133"},"institutions":[{"id":"https://openalex.org/I39333907","display_name":"Yanshan University","ror":"https://ror.org/02txfnf15","country_code":"CN","type":"education","lineage":["https://openalex.org/I39333907"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiadong Ren","raw_affiliation_strings":["College of Information Science and Engineering, Yanshan University, Qinhuangdao, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Yanshan University, Qinhuangdao, China","institution_ids":["https://openalex.org/I39333907"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5055957685"],"corresponding_institution_ids":["https://openalex.org/I39333907"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.2352,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.86334335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"134903","last_page":"134919"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9998999834060669,"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":0.9998999834060669,"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/T10190","display_name":"Air Quality and Health Impacts","score":0.9983999729156494,"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/T12095","display_name":"Vehicle emissions and performance","score":0.9900000095367432,"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/computer-science","display_name":"Computer science","score":0.7809469699859619},{"id":"https://openalex.org/keywords/air-quality-index","display_name":"Air quality index","score":0.768984854221344},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6590332388877869},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.609784722328186},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5923124551773071},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5300961136817932},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5086241960525513},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45034146308898926},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.4453943073749542},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43099331855773926},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4201608896255493}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7809469699859619},{"id":"https://openalex.org/C126314574","wikidata":"https://www.wikidata.org/wiki/Q2364111","display_name":"Air quality index","level":2,"score":0.768984854221344},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6590332388877869},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.609784722328186},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5923124551773071},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5300961136817932},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5086241960525513},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45034146308898926},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.4453943073749542},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43099331855773926},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4201608896255493},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2941732","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2941732","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08842551.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5f003a4295cf4527bf89fa3b28d9ba7b","is_oa":true,"landing_page_url":"https://doaj.org/article/5f003a4295cf4527bf89fa3b28d9ba7b","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 134903-134919 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2941732","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2941732","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08842551.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1403005778","display_name":null,"funder_award_id":"61772451","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2973494134.pdf","grobid_xml":"https://content.openalex.org/works/W2973494134.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W37458164","https://openalex.org/W956374238","https://openalex.org/W1485009520","https://openalex.org/W1538131130","https://openalex.org/W1564094774","https://openalex.org/W1971402834","https://openalex.org/W2011700799","https://openalex.org/W2031492889","https://openalex.org/W2062521548","https://openalex.org/W2063217105","https://openalex.org/W2064675550","https://openalex.org/W2070491377","https://openalex.org/W2080651100","https://openalex.org/W2107946901","https://openalex.org/W2128727570","https://openalex.org/W2141970008","https://openalex.org/W2162982697","https://openalex.org/W2171459801","https://openalex.org/W2172114485","https://openalex.org/W2306844409","https://openalex.org/W2515281721","https://openalex.org/W2557855533","https://openalex.org/W2585993362","https://openalex.org/W2767894694","https://openalex.org/W2789849108","https://openalex.org/W2805541293","https://openalex.org/W2809533013","https://openalex.org/W2812669263","https://openalex.org/W2883690806","https://openalex.org/W2888135434","https://openalex.org/W2912731314","https://openalex.org/W2917619616","https://openalex.org/W2930504628","https://openalex.org/W2943920234","https://openalex.org/W2990955039","https://openalex.org/W3123995874","https://openalex.org/W6601546354","https://openalex.org/W6628877408","https://openalex.org/W6632100814","https://openalex.org/W6754166734","https://openalex.org/W6757003350"],"related_works":["https://openalex.org/W2085384747","https://openalex.org/W2088166309","https://openalex.org/W1891216533","https://openalex.org/W4312133475","https://openalex.org/W4238976562","https://openalex.org/W2276587472","https://openalex.org/W2615795876","https://openalex.org/W2049612369","https://openalex.org/W2770872919","https://openalex.org/W4298130764"],"abstract_inverted_index":{"Numerous":[0],"countries":[1],"in":[2],"the":[3,9,15,30,48,95,130,153,166,207,211,215,238,242,254],"world":[4],"pay":[5],"close":[6],"attention":[7],"to":[8,29,61,164,204,234,237],"change":[10],"of":[11,17,47,73,79,125,136,168,189,195,228,256],"air":[12,18,49,64,74,81,137,196,243,257],"quality":[13,21,50,82,138,244],"and":[14,36,52,89,99,122,141,156,173,192,240,251],"control":[16],"pollution.":[19],"Air":[20],"prediction":[22,83,160],"has":[23],"become":[24],"a":[25,44,54,77,105,116,143,159,225],"challenging":[26],"issue":[27],"owing":[28],"complex":[31],"characteristics":[32,72,239],"with":[33,70,86,202,206,220],"time-space":[34],"nonlinearity":[35],"multi-dimensional":[37],"feature":[38],"interaction.":[39],"This":[40,127],"paper":[41],"inventively":[42],"proposes":[43],"three-dimensional":[45,106],"presentation":[46],"data":[51,107,139,157,212],"establishes":[53],"deep":[55],"model":[56,161,217,231],"using":[57,178],"spatiotemporal":[58],"collaborative":[59],"strategy":[60],"predict":[62,241],"regional":[63,80],"quality,":[65],"which":[66,185,247],"can":[67],"properly":[68],"deal":[69,205],"multiple":[71,102,134],"quality.":[75,197,258],"Firstly,":[76],"theory":[78,155],"is":[84,113,162,200,218,232,248],"given":[85],"reasonable":[87],"analyses":[88],"scientific":[90],"definitions,":[91],"for":[92,147,253],"systematically":[93],"analyzing":[94],"closely":[96],"connected":[97],"areas":[98],"simultaneously":[100],"predicting":[101],"locations.":[103],"Secondly,":[104],"structure":[108,128],"called":[109],"Relevance":[110],"Data":[111],"Cube":[112],"constructed":[114],"utilizing":[115],"clustering":[117],"algorithm,":[118],"time":[119],"sliding":[120],"windows":[121],"correlation":[123,191],"analysis":[124,145],"factors.":[126],"depicts":[129],"whole":[131],"relationships":[132],"among":[133,210],"dimensions":[135],"clearly":[140],"provides":[142],"basic":[144],"foundation":[146],"subsequent":[148],"processing.":[149],"Thirdly,":[150],"based":[151],"on":[152],"above":[154],"structure,":[158],"proposed":[163,216],"demonstrate":[165],"applicability":[167],"our":[169],"work.":[170],"Spatial":[171],"relevance":[172],"factor":[174],"influence":[175],"are":[176],"processed":[177],"dimension":[179],"reduction":[180],"technique":[181],"provided":[182],"by":[183,224],"CNN,":[184],"performs":[186],"automatic":[187],"mining":[188],"spatial":[190],"factors":[193],"reaction":[194],"Besides,":[198],"LSTM":[199],"combined":[201],"CNN":[203],"temporal":[208],"dependency":[209],"dynamically.":[213],"Finally,":[214],"compared":[219],"other":[221],"neural":[222],"networks":[223],"large":[226],"number":[227],"experiments.":[229],"The":[230],"proved":[233],"better":[235],"adapt":[236],"more":[245,249],"accurately,":[246],"suitable":[250],"reliable":[252],"field":[255]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":2}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}