{"id":"https://openalex.org/W3162807667","doi":"https://doi.org/10.1109/access.2021.3080828","title":"Deep Spatiotemporal Attention Network for Fine Particle Matter 2.5 Concentration Prediction With Causality Analysis","display_name":"Deep Spatiotemporal Attention Network for Fine Particle Matter 2.5 Concentration Prediction With Causality Analysis","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3162807667","doi":"https://doi.org/10.1109/access.2021.3080828","mag":"3162807667"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3080828","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3080828","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09432810.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/ielx7/6287639/9312710/09432810.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059117166","display_name":"Nohyoon Seong","orcid":"https://orcid.org/0000-0002-5780-4566"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Nohyoon Seong","raw_affiliation_strings":["College of Business, Korea Advanced Institute of Science and Technology, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-5780-4566","affiliations":[{"raw_affiliation_string":"College of Business, Korea Advanced Institute of Science and Technology, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5059117166"],"corresponding_institution_ids":["https://openalex.org/I157485424"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8025,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.67531595,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"9","issue":null,"first_page":"73230","last_page":"73239"},"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":0.9977999925613403,"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":0.9922000169754028,"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/air-pollution","display_name":"Air pollution","score":0.6597263216972351},{"id":"https://openalex.org/keywords/terrain","display_name":"Terrain","score":0.6142493486404419},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.522247850894928},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.5215680003166199},{"id":"https://openalex.org/keywords/pollution","display_name":"Pollution","score":0.5180580615997314},{"id":"https://openalex.org/keywords/wind-direction","display_name":"Wind direction","score":0.4864499270915985},{"id":"https://openalex.org/keywords/granger-causality","display_name":"Granger causality","score":0.45610740780830383},{"id":"https://openalex.org/keywords/pollutant","display_name":"Pollutant","score":0.4525562524795532},{"id":"https://openalex.org/keywords/wind-speed","display_name":"Wind speed","score":0.44532129168510437},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44106611609458923},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44008830189704895},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.4306170642375946},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3217962682247162},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3088536858558655},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2994045615196228},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.23790326714515686},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.15023672580718994},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12491768598556519}],"concepts":[{"id":"https://openalex.org/C559116025","wikidata":"https://www.wikidata.org/wiki/Q131123","display_name":"Air pollution","level":2,"score":0.6597263216972351},{"id":"https://openalex.org/C161840515","wikidata":"https://www.wikidata.org/wiki/Q186131","display_name":"Terrain","level":2,"score":0.6142493486404419},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.522247850894928},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.5215680003166199},{"id":"https://openalex.org/C521259446","wikidata":"https://www.wikidata.org/wiki/Q58734","display_name":"Pollution","level":2,"score":0.5180580615997314},{"id":"https://openalex.org/C107775477","wikidata":"https://www.wikidata.org/wiki/Q1057900","display_name":"Wind direction","level":3,"score":0.4864499270915985},{"id":"https://openalex.org/C129824826","wikidata":"https://www.wikidata.org/wiki/Q2630107","display_name":"Granger causality","level":2,"score":0.45610740780830383},{"id":"https://openalex.org/C82685317","wikidata":"https://www.wikidata.org/wiki/Q19829510","display_name":"Pollutant","level":2,"score":0.4525562524795532},{"id":"https://openalex.org/C161067210","wikidata":"https://www.wikidata.org/wiki/Q1464943","display_name":"Wind speed","level":2,"score":0.44532129168510437},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44106611609458923},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44008830189704895},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.4306170642375946},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3217962682247162},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3088536858558655},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2994045615196228},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.23790326714515686},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.15023672580718994},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12491768598556519},{"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3080828","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3080828","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09432810.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:c089349012be4f0a9a5aeb5bdce04f55","is_oa":true,"landing_page_url":"https://doaj.org/article/c089349012be4f0a9a5aeb5bdce04f55","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"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 9, Pp 73230-73239 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3080828","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3080828","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09432810.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":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3162807667.pdf","grobid_xml":"https://content.openalex.org/works/W3162807667.grobid-xml"},"referenced_works_count":57,"referenced_works":["https://openalex.org/W3598568","https://openalex.org/W1514797367","https://openalex.org/W1522301498","https://openalex.org/W1978506705","https://openalex.org/W1983364832","https://openalex.org/W2020232291","https://openalex.org/W2092998278","https://openalex.org/W2125100130","https://openalex.org/W2127215108","https://openalex.org/W2131241448","https://openalex.org/W2133503274","https://openalex.org/W2140282454","https://openalex.org/W2144022228","https://openalex.org/W2149250320","https://openalex.org/W2184949290","https://openalex.org/W2289128632","https://openalex.org/W2553399033","https://openalex.org/W2586262377","https://openalex.org/W2748587498","https://openalex.org/W2766521085","https://openalex.org/W2801440176","https://openalex.org/W2802555428","https://openalex.org/W2807081897","https://openalex.org/W2883798452","https://openalex.org/W2898441276","https://openalex.org/W2899742462","https://openalex.org/W2903325752","https://openalex.org/W2903555897","https://openalex.org/W2904307120","https://openalex.org/W2909824655","https://openalex.org/W2912189257","https://openalex.org/W2912731314","https://openalex.org/W2914223085","https://openalex.org/W2914487400","https://openalex.org/W2921453815","https://openalex.org/W2952496183","https://openalex.org/W2963358464","https://openalex.org/W2964121744","https://openalex.org/W2969580756","https://openalex.org/W2993383518","https://openalex.org/W2994856434","https://openalex.org/W3003943436","https://openalex.org/W3012957873","https://openalex.org/W3037339115","https://openalex.org/W3084759552","https://openalex.org/W3098448153","https://openalex.org/W3112491651","https://openalex.org/W3121356098","https://openalex.org/W3124585995","https://openalex.org/W4285719527","https://openalex.org/W6631190155","https://openalex.org/W6678911119","https://openalex.org/W6696332616","https://openalex.org/W6746015598","https://openalex.org/W6760565008","https://openalex.org/W6785181460","https://openalex.org/W6787142460"],"related_works":["https://openalex.org/W1992962589","https://openalex.org/W3032871857","https://openalex.org/W4251195004","https://openalex.org/W2035792466","https://openalex.org/W2977645287","https://openalex.org/W4251418261","https://openalex.org/W1972675643","https://openalex.org/W2911392473","https://openalex.org/W2154758532","https://openalex.org/W2079028980"],"abstract_inverted_index":{"The":[0,182],"increasing":[1],"concentration":[2,45,64],"of":[3,33,39,116,154,180],"air":[4,22,43,62,87,95],"pollutants,":[5],"caused":[6],"by":[7],"industrialization":[8],"and":[9,20,36,50,103,118,143],"economic":[10],"growth,":[11],"is":[12,46,73],"adversely":[13],"affecting":[14],"public":[15],"health.":[16],"Therefore,":[17],"accurately":[18],"measuring":[19],"predicting":[21],"pollution":[23,44,63,88],"has":[24],"been":[25],"an":[26,161],"important":[27],"societal":[28],"issue.":[29],"With":[30],"the":[31,37,81,91,107,109,114,119,152,155,178,186],"era":[32],"big":[34],"data":[35],"development":[38],"artificial":[40],"intelligence":[41],"technologies,":[42],"now":[47],"being":[48],"measured":[49],"recorded":[51],"in":[52,71,177],"real-time":[53],"using":[54,65,172],"different":[55],"sensors.":[56],"Studies":[57],"have":[58],"attempted":[59],"to":[60,85,106,169,193],"predict":[61,86],"deep":[66],"learning-based":[67],"spatiotemporal":[68],"prediction.":[69],"This,":[70],"turn,":[72],"based":[74,146],"on":[75,147],"distance":[76,82,142],"networks.":[77],"In":[78],"these":[79,127,131],"studies,":[80],"network":[83,111,139],"used":[84],"simply":[89],"reflects":[90],"distance.":[92],"However,":[93],"since":[94],"pollutants":[96],"cannot":[97],"move":[98,104],"over":[99],"high":[100],"mountain":[101],"ranges":[102],"according":[105],"wind,":[108],"station":[110,138],"should":[112],"include":[113],"effect":[115],"terrain":[117],"wind":[120],"direction.":[121],"Previous":[122],"studies":[123],"do":[124],"not":[125],"consider":[126],"effects.":[128],"To":[129,150],"overcome":[130],"limitations,":[132],"this":[133],"study":[134],"proposes":[135],"a":[136],"novel":[137],"that":[140,185],"combines":[141],"causality":[144],"networks":[145],"transfer":[148],"entropy.":[149],"evaluate":[151],"performance":[153,191],"proposed":[156,187],"method,":[157],"out-of-sample":[158],"experiments":[159],"with":[160],"hourly":[162],"dataset":[163],"are":[164],"performed":[165],"from":[166,174],"January":[167],"2017":[168],"October":[170],"2020":[171],"information":[173],"186":[175],"stations":[176],"Republic":[179],"Korea.":[181],"results":[183],"suggest":[184],"method":[188],"showed":[189],"state-of-the-art":[190],"compared":[192],"existing":[194],"distance-based":[195],"algorithms.":[196]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
