{"id":"https://openalex.org/W3034816354","doi":"https://doi.org/10.1109/access.2020.3000767","title":"Causal Identification Based on Compressive Sensing of Air Pollutants Using Urban Big Data","display_name":"Causal Identification Based on Compressive Sensing of Air Pollutants Using Urban Big Data","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3034816354","doi":"https://doi.org/10.1109/access.2020.3000767","mag":"3034816354"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3000767","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3000767","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09110861.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/ielx7/6287639/8948470/09110861.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100425355","display_name":"Mingwei Li","orcid":"https://orcid.org/0000-0002-1694-1265"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingwei Li","raw_affiliation_strings":["School of Mathematics and Statistics, Northeastern University at Qinhuangdao, Qinhuangdao, China"],"raw_orcid":"https://orcid.org/0000-0002-1694-1265","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Northeastern University at Qinhuangdao, Qinhuangdao, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100782325","display_name":"Jinpeng Li","orcid":"https://orcid.org/0000-0002-8542-2717"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinpeng Li","raw_affiliation_strings":["School of Mathematics and Statistics, Northeastern University at Qinhuangdao, Qinhuangdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Northeastern University at Qinhuangdao, Qinhuangdao, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031094274","display_name":"Shuangning Wan","orcid":null},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuangning Wan","raw_affiliation_strings":["School of Mathematics and Statistics, Northeastern University at Qinhuangdao, Qinhuangdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Northeastern University at Qinhuangdao, Qinhuangdao, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353576","display_name":"Hao Chen","orcid":"https://orcid.org/0000-0002-6418-3761"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Chen","raw_affiliation_strings":["School of Mathematics and Statistics, Northeastern University at Qinhuangdao, Qinhuangdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Northeastern University at Qinhuangdao, Qinhuangdao, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066314766","display_name":"Chao Liu","orcid":"https://orcid.org/0000-0002-5482-4940"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Liu","raw_affiliation_strings":["School of Mathematics and Statistics, Northeastern University at Qinhuangdao, Qinhuangdao, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Northeastern University at Qinhuangdao, Qinhuangdao, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.5672,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74213568,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8","issue":null,"first_page":"109207","last_page":"109216"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T11692","display_name":"Noise Effects and Management","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/3616","display_name":"Speech and Hearing"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9603999853134155,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/beijing","display_name":"Beijing","score":0.8461335301399231},{"id":"https://openalex.org/keywords/granger-causality","display_name":"Granger causality","score":0.763446033000946},{"id":"https://openalex.org/keywords/air-quality-index","display_name":"Air quality index","score":0.6049008965492249},{"id":"https://openalex.org/keywords/pollutant","display_name":"Pollutant","score":0.6041268706321716},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.57322096824646},{"id":"https://openalex.org/keywords/air-pollutants","display_name":"Air pollutants","score":0.5598338842391968},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5491854548454285},{"id":"https://openalex.org/keywords/causality","display_name":"Causality (physics)","score":0.5409492254257202},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5135495662689209},{"id":"https://openalex.org/keywords/transfer-entropy","display_name":"Transfer entropy","score":0.49747827649116516},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4788108468055725},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.4368559420108795},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4212246537208557},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.397529274225235},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.38172024488449097},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3495873808860779},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.33480414748191833},{"id":"https://openalex.org/keywords/air-pollution","display_name":"Air pollution","score":0.2745916247367859},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2671829164028168},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26622962951660156},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13619908690452576},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.10025182366371155},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07890930771827698},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.07462701201438904}],"concepts":[{"id":"https://openalex.org/C2778304055","wikidata":"https://www.wikidata.org/wiki/Q657474","display_name":"Beijing","level":3,"score":0.8461335301399231},{"id":"https://openalex.org/C129824826","wikidata":"https://www.wikidata.org/wiki/Q2630107","display_name":"Granger causality","level":2,"score":0.763446033000946},{"id":"https://openalex.org/C126314574","wikidata":"https://www.wikidata.org/wiki/Q2364111","display_name":"Air quality index","level":2,"score":0.6049008965492249},{"id":"https://openalex.org/C82685317","wikidata":"https://www.wikidata.org/wiki/Q19829510","display_name":"Pollutant","level":2,"score":0.6041268706321716},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.57322096824646},{"id":"https://openalex.org/C2987853052","wikidata":"https://www.wikidata.org/wiki/Q131123","display_name":"Air pollutants","level":3,"score":0.5598338842391968},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5491854548454285},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.5409492254257202},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5135495662689209},{"id":"https://openalex.org/C182049051","wikidata":"https://www.wikidata.org/wiki/Q17147155","display_name":"Transfer entropy","level":3,"score":0.49747827649116516},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4788108468055725},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.4368559420108795},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4212246537208557},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.397529274225235},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.38172024488449097},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3495873808860779},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.33480414748191833},{"id":"https://openalex.org/C559116025","wikidata":"https://www.wikidata.org/wiki/Q131123","display_name":"Air pollution","level":2,"score":0.2745916247367859},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2671829164028168},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26622962951660156},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13619908690452576},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.10025182366371155},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07890930771827698},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.07462701201438904},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3000767","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3000767","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09110861.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:748f8484643144049307f200c0751d80","is_oa":true,"landing_page_url":"https://doaj.org/article/748f8484643144049307f200c0751d80","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 8, Pp 109207-109216 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3000767","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3000767","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09110861.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":0.8299999833106995}],"awards":[{"id":"https://openalex.org/G8982747656","display_name":null,"funder_award_id":"61702088","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/W3034816354.pdf","grobid_xml":"https://content.openalex.org/works/W3034816354.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1969865391","https://openalex.org/W2005625770","https://openalex.org/W2115021853","https://openalex.org/W2142265837","https://openalex.org/W2151578276","https://openalex.org/W2153458569","https://openalex.org/W2294577888","https://openalex.org/W2500157231","https://openalex.org/W2517888368","https://openalex.org/W2545211134","https://openalex.org/W2579140012","https://openalex.org/W2590498320","https://openalex.org/W2619271002","https://openalex.org/W2740783736","https://openalex.org/W2752018578","https://openalex.org/W2791640723","https://openalex.org/W2792638927","https://openalex.org/W2890342929","https://openalex.org/W2914477964","https://openalex.org/W2914569347","https://openalex.org/W2916614616","https://openalex.org/W2953912115","https://openalex.org/W2955662921","https://openalex.org/W2989870820","https://openalex.org/W3010085428","https://openalex.org/W3102603179","https://openalex.org/W4250955649","https://openalex.org/W6754626829"],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2035792466","https://openalex.org/W2977645287","https://openalex.org/W4251418261","https://openalex.org/W1972675643","https://openalex.org/W2154758532","https://openalex.org/W1989349725","https://openalex.org/W2945806310","https://openalex.org/W2884017454","https://openalex.org/W2766374266"],"abstract_inverted_index":{"This":[0],"study":[1],"addresses":[2],"the":[3,41,52,57,79,82,86,95,101,127,140,148],"causal":[4,96],"identification":[5,39],"of":[6,40,81,88,116,142],"air":[7,14,42,117,132],"pollutants":[8,118],"from":[9,103,122],"surrounding":[10,48,124],"cities":[11],"affecting":[12],"Beijing's":[13,131],"quality.":[15],"A":[16],"novel":[17],"compressive":[18,72],"sensing":[19,73],"causality":[20,27,44],"analysis":[21,28,90],"(CS-Causality)":[22],"method,":[23],"which":[24,75],"combines":[25],"Granger":[26],"(GCA)":[29],"and":[30,47],"maximum":[31],"correntropy":[32],"criterion":[33],"(MCC),":[34],"is":[35,60,67,109,134,145],"presented":[36],"for":[37],"efficient":[38],"pollutant":[43],"between":[45],"Beijing":[46,120],"cities.":[49,125],"Firstly,":[50],"taking":[51],"spatiotemporal":[53],"correlation":[54],"into":[55,62],"consideration,":[56],"original":[58],"data":[59,89],"mapped":[61],"low-dimensional":[63],"space.":[64],"Valid":[65],"information":[66],"then":[68],"obtained":[69],"based":[70,136],"on":[71,130,137],"(CS),":[74],"can":[76],"greatly":[77],"reduce":[78],"dimensions":[80],"data,":[83],"thus":[84],"decreasing":[85],"amount":[87],"required.":[91],"Secondly,":[92],"to":[93,107,111],"analyze":[94],"relations,":[97],"GCA,":[98],"represented":[99],"by":[100],"prediction":[102],"one":[104],"time":[105],"series":[106],"another,":[108],"extended":[110],"rule":[112],"out":[113],"\u201cNon-Granger\u201d":[114],"causes":[115],"in":[119],"originating":[121],"its":[123],"Thirdly,":[126],"greatest":[128],"impact":[129],"quality":[133],"confirmed":[135],"MCC.":[138],"Finally,":[139],"accuracy":[141],"these":[143],"results":[144],"verified":[146],"using":[147],"transfer":[149],"entropy.":[150]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}