{"id":"https://openalex.org/W4389495225","doi":"https://doi.org/10.1109/tim.2023.3341110","title":"Temporal Double Graph Convolutional Network for CO and CO Prediction in Blast Furnace Gas<sub/>","display_name":"Temporal Double Graph Convolutional Network for CO and CO Prediction in Blast Furnace Gas<sub/>","publication_year":2023,"publication_date":"2023-12-08","ids":{"openalex":"https://openalex.org/W4389495225","doi":"https://doi.org/10.1109/tim.2023.3341110"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3341110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3341110","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5071175270","display_name":"Tingkun Zhang","orcid":"https://orcid.org/0000-0003-3405-7462"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingkun Zhang","raw_affiliation_strings":["School of Electrical Engineering, Xinjiang University, Urumqi, China"],"raw_orcid":"https://orcid.org/0000-0003-3405-7462","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Xinjiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038674178","display_name":"Chengbao Liu","orcid":"https://orcid.org/0000-0003-2078-9101"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengbao Liu","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2078-9101","affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102904093","display_name":"Zhenjie Liu","orcid":"https://orcid.org/0000-0003-3325-1212"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenjie Liu","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3325-1212","affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037083362","display_name":"Jie Tan","orcid":"https://orcid.org/0000-0003-3603-6147"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Tan","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3603-6147","affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210094879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064000712","display_name":"Mutellip Ahmat","orcid":"https://orcid.org/0000-0002-2160-4204"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mutellip Ahmat","raw_affiliation_strings":["School of Electrical Engineering, Xinjiang University, Urumqi, China"],"raw_orcid":"https://orcid.org/0000-0002-2160-4204","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Xinjiang University, Urumqi, China","institution_ids":["https://openalex.org/I96908189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.239,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.75737742,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11837","display_name":"Iron and Steelmaking Processes","score":0.963699996471405,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11837","display_name":"Iron and Steelmaking Processes","score":0.963699996471405,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9495999813079834,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T14392","display_name":"Geoscience and Mining Technology","score":0.9372000098228455,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/blast-furnace","display_name":"Blast furnace","score":0.6139914989471436},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4876493215560913},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4743667542934418},{"id":"https://openalex.org/keywords/blast-furnace-gas","display_name":"Blast furnace gas","score":0.4607577919960022},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.3096088767051697},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.18517324328422546},{"id":"https://openalex.org/keywords/metallurgy","display_name":"Metallurgy","score":0.13506072759628296}],"concepts":[{"id":"https://openalex.org/C2780269488","wikidata":"https://www.wikidata.org/wiki/Q181485","display_name":"Blast furnace","level":2,"score":0.6139914989471436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4876493215560913},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4743667542934418},{"id":"https://openalex.org/C175783084","wikidata":"https://www.wikidata.org/wiki/Q205470","display_name":"Blast furnace gas","level":3,"score":0.4607577919960022},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.3096088767051697},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18517324328422546},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.13506072759628296}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3341110","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3341110","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G771824490","display_name":null,"funder_award_id":"62003344","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8060992238","display_name":null,"funder_award_id":"2020YFB1711101","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1964357740","https://openalex.org/W1973943669","https://openalex.org/W1975548819","https://openalex.org/W1993261349","https://openalex.org/W2004313247","https://openalex.org/W2029246249","https://openalex.org/W2029858709","https://openalex.org/W2036609814","https://openalex.org/W2059495619","https://openalex.org/W2075074595","https://openalex.org/W2076658979","https://openalex.org/W2079724595","https://openalex.org/W2080603581","https://openalex.org/W2086549730","https://openalex.org/W2163173612","https://openalex.org/W2165700458","https://openalex.org/W2171234954","https://openalex.org/W2366933034","https://openalex.org/W2613331518","https://openalex.org/W2743161968","https://openalex.org/W2743826023","https://openalex.org/W2748143659","https://openalex.org/W2890733330","https://openalex.org/W2892880750","https://openalex.org/W2901504064","https://openalex.org/W2903362348","https://openalex.org/W2905189977","https://openalex.org/W2965777924","https://openalex.org/W2970388061","https://openalex.org/W2981241586","https://openalex.org/W2982310938","https://openalex.org/W2985331920","https://openalex.org/W2996451395","https://openalex.org/W3002196107","https://openalex.org/W3005619092","https://openalex.org/W3007719590","https://openalex.org/W3008097707","https://openalex.org/W3080838336","https://openalex.org/W3094744527","https://openalex.org/W3102020143","https://openalex.org/W3104355095","https://openalex.org/W3158304688","https://openalex.org/W3175016653","https://openalex.org/W3206572493","https://openalex.org/W4205632037","https://openalex.org/W4211228729","https://openalex.org/W4289704982","https://openalex.org/W4313182445","https://openalex.org/W4323339214","https://openalex.org/W4360612715","https://openalex.org/W4363648747","https://openalex.org/W6619978402","https://openalex.org/W6680532697","https://openalex.org/W6684191040","https://openalex.org/W6845625448"],"related_works":["https://openalex.org/W2087190914","https://openalex.org/W2356572380","https://openalex.org/W2054780246","https://openalex.org/W3193569638","https://openalex.org/W2385305040","https://openalex.org/W2059122483","https://openalex.org/W2021102151","https://openalex.org/W2376956516","https://openalex.org/W2386242258","https://openalex.org/W2078427738"],"abstract_inverted_index":{"Accurately":[0],"predicting":[1],"CO":[2,51,73],"and":[3,18,34,52,74,87,124,135],"CO2":[4,53,75],"content":[5,54,76],"in":[6,38,55,97,181],"blast":[7,30],"furnace":[8,16,31],"gas":[9],"(BFG)":[10],"holds":[11],"immense":[12],"significance,":[13],"ensuring":[14],"stable":[15],"operation":[17],"improving":[19],"energy":[20],"utilization.":[21],"However,":[22],"due":[23],"to":[24,44,116,125,144,156,177],"the":[25,39,47,98,101,118,121,127,149,158,162,190,194,198,206],"variable":[26],"operating":[27,171],"conditions":[28],"of":[29,50,80,100,188,197,205],"(BF)":[32],"ironmaking":[33,94,107,183],"complex":[35,102],"chemical":[36],"reactions":[37],"BF,":[40],"it":[41],"is":[42,114,201],"difficult":[43],"accurately":[45],"predict":[46],"changing":[48],"trend":[49],"BFG.":[56],"To":[57,130],"solve":[58],"this":[59,61,154],"problem,":[60],"study":[62],"proposes":[63],"a":[64,92,140,186],"temporal":[65],"double":[66],"graph":[67,83,96,110,123],"convolutional":[68,111,142],"network":[69,112,143],"(TDGCN)":[70],"model":[71,164,178,200],"for":[72],"prediction.":[77],"It":[78],"consists":[79],"three":[81],"parts:":[82],"convolution,":[84,86],"hypergraph":[85,141],"TimesNet.":[88],"Specifically,":[89],"we":[90,138,152,174],"constructed":[91],"BF":[93,106,182],"feature":[95,122,128,133,159],"face":[99],"coupling":[103],"relationship":[104],"between":[105],"features.":[108],"The":[109],"(GCN)":[113],"used":[115],"extract":[117,132],"topology":[119],"on":[120],"update":[126,157],"variables.":[129],"further":[131],"correlations":[134,147],"relevant":[136],"information,":[137],"employ":[139],"explore":[145],"high-order":[146],"within":[148],"hypergraph.":[150],"Subsequently,":[151],"utilize":[153],"information":[155],"graph,":[160],"endowing":[161],"TDGCN":[163,199],"with":[165],"dynamic":[166],"adaptive":[167],"capabilities":[168],"under":[169],"varying":[170],"conditions.":[172],"Finally,":[173],"introduce":[175],"TimesNet":[176],"long-term":[179],"dependencies":[180],"data.":[184],"Through":[185],"series":[187],"experiments,":[189],"results":[191],"show":[192],"that":[193,204],"prediction":[195],"effect":[196],"better":[202],"than":[203],"traditional":[207],"methods.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}