{"id":"https://openalex.org/W7117762377","doi":"https://doi.org/10.1016/j.compchemeng.2025.109547","title":"Research on natural gas pipeline corrosion prediction by integrating extreme gradient boosting and generative adversarial network","display_name":"Research on natural gas pipeline corrosion prediction by integrating extreme gradient boosting and generative adversarial network","publication_year":2025,"publication_date":"2025-12-31","ids":{"openalex":"https://openalex.org/W7117762377","doi":"https://doi.org/10.1016/j.compchemeng.2025.109547"},"language":"en","primary_location":{"id":"doi:10.1016/j.compchemeng.2025.109547","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.compchemeng.2025.109547","pdf_url":null,"source":{"id":"https://openalex.org/S150671403","display_name":"Computers & Chemical Engineering","issn_l":"0098-1354","issn":["0098-1354","1873-4375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers & Chemical Engineering","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/A5065887506","display_name":"Guoxi He","orcid":"https://orcid.org/0000-0001-7982-4448"},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoxi He","raw_affiliation_strings":["Southwest Petroleum University, Chengdu 610500, Sichuan, China"],"raw_orcid":"https://orcid.org/0000-0001-7982-4448","affiliations":[{"raw_affiliation_string":"Southwest Petroleum University, Chengdu 610500, Sichuan, China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121650887","display_name":"Jing Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Tian","raw_affiliation_strings":["Southwest Petroleum University, Chengdu 610500, Sichuan, China"],"raw_orcid":"https://orcid.org/0009-0002-9497-3200","affiliations":[{"raw_affiliation_string":"Southwest Petroleum University, Chengdu 610500, Sichuan, China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107947401","display_name":"D. B. Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095565","display_name":"Health and Family Planning Commission of Sichuan Province","ror":"https://ror.org/00kx6j950","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210095565"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dezhi Tang","raw_affiliation_strings":["PetroChina Planning & Engineering Institute, Chengdu 610041, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PetroChina Planning & Engineering Institute, Chengdu 610041, China","institution_ids":["https://openalex.org/I4210095565"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121685612","display_name":"Fei Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095565","display_name":"Health and Family Planning Commission of Sichuan Province","ror":"https://ror.org/00kx6j950","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210095565"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Zhao","raw_affiliation_strings":["PetroChina Planning & Engineering Institute, Chengdu 610041, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PetroChina Planning & Engineering Institute, Chengdu 610041, China","institution_ids":["https://openalex.org/I4210095565"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121621759","display_name":"Shuhua Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shuhua Li","raw_affiliation_strings":["PetroChina Changqing Oilfield Company, Xi'an 710018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PetroChina Changqing Oilfield Company, Xi'an 710018, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121610769","display_name":"Chao Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chao Li","raw_affiliation_strings":["PetroChina Changqing Oilfield Company, Xi'an 710018, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PetroChina Changqing Oilfield Company, Xi'an 710018, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121638120","display_name":"Kexi Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I165745306","display_name":"Southwest Petroleum University","ror":"https://ror.org/03h17x602","country_code":"CN","type":"education","lineage":["https://openalex.org/I165745306"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kexi Liao","raw_affiliation_strings":["Southwest Petroleum University, Chengdu 610500, Sichuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Petroleum University, Chengdu 610500, Sichuan, China","institution_ids":["https://openalex.org/I165745306"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121606248","display_name":"XiaoFei Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I98227222","display_name":"China National Petroleum Corporation (China)","ror":"https://ror.org/05269d038","country_code":"CN","type":"company","lineage":["https://openalex.org/I98227222"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"XiaoFei Chen","raw_affiliation_strings":["The First Gas Production Plant of PetroChina Changqing Oilfield Company, Yulin 719000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The First Gas Production Plant of PetroChina Changqing Oilfield Company, Yulin 719000, China","institution_ids":["https://openalex.org/I98227222"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5121686320","display_name":"Wen Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I98227222","display_name":"China National Petroleum Corporation (China)","ror":"https://ror.org/05269d038","country_code":"CN","type":"company","lineage":["https://openalex.org/I98227222"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen Yang","raw_affiliation_strings":["The First Gas Production Plant of PetroChina Changqing Oilfield Company, Yulin 719000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The First Gas Production Plant of PetroChina Changqing Oilfield Company, Yulin 719000, China","institution_ids":["https://openalex.org/I98227222"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":4050,"currency":"USD","value_usd":4050},"apc_paid":null,"fwci":0.3349,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58394737,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"207","issue":null,"first_page":"109547","last_page":"109547"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12086","display_name":"Structural Integrity and Reliability Analysis","score":0.8562999963760376,"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/T12086","display_name":"Structural Integrity and Reliability Analysis","score":0.8562999963760376,"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/T11220","display_name":"Water Systems and Optimization","score":0.04019999876618385,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10310","display_name":"Corrosion Behavior and Inhibition","score":0.03099999949336052,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.6244999766349792},{"id":"https://openalex.org/keywords/rate-of-convergence","display_name":"Rate of convergence","score":0.5037000179290771},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4814000129699707},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.4781999886035919},{"id":"https://openalex.org/keywords/mean-absolute-percentage-error","display_name":"Mean absolute percentage error","score":0.45750001072883606},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.42489999532699585},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.41179999709129333},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.3944000005722046},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.376800000667572}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6244999766349792},{"id":"https://openalex.org/C57869625","wikidata":"https://www.wikidata.org/wiki/Q1783502","display_name":"Rate of convergence","level":3,"score":0.5037000179290771},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4814000129699707},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.4781999886035919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.476500004529953},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.45750001072883606},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.42489999532699585},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4185999929904938},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.41179999709129333},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.3944000005722046},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38359999656677246},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3815999925136566},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.376800000667572},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.37130001187324524},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.3702000081539154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3677000105381012},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.3625999987125397},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.3596999943256378},{"id":"https://openalex.org/C20625102","wikidata":"https://www.wikidata.org/wiki/Q137056","display_name":"Corrosion","level":2,"score":0.3529999852180481},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3513000011444092},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.3269999921321869},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.3183000087738037},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.3174999952316284},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3093999922275543},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.2799000144004822},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.27469998598098755},{"id":"https://openalex.org/C2994418228","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Gas pipeline","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.2535000145435333},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.2533999979496002}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.compchemeng.2025.109547","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.compchemeng.2025.109547","pdf_url":null,"source":{"id":"https://openalex.org/S150671403","display_name":"Computers & Chemical Engineering","issn_l":"0098-1354","issn":["0098-1354","1873-4375"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers & Chemical Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6171134497","display_name":null,"funder_award_id":"52174062","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6570571031","display_name":null,"funder_award_id":"52202403","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":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W2023445387","https://openalex.org/W2066592057","https://openalex.org/W2884754187","https://openalex.org/W2894481609","https://openalex.org/W2919790623","https://openalex.org/W2956116148","https://openalex.org/W3009617105","https://openalex.org/W3020990101","https://openalex.org/W3022433094","https://openalex.org/W3120935587","https://openalex.org/W3127625208","https://openalex.org/W3137125108","https://openalex.org/W3138819813","https://openalex.org/W3196986507","https://openalex.org/W3215547591","https://openalex.org/W4206770842","https://openalex.org/W4212918362","https://openalex.org/W4292537033","https://openalex.org/W4308743200","https://openalex.org/W4309875269","https://openalex.org/W4311745510","https://openalex.org/W4387647160","https://openalex.org/W4392528335","https://openalex.org/W4393079459","https://openalex.org/W4399449233","https://openalex.org/W4400311768","https://openalex.org/W4400522127","https://openalex.org/W4400859441","https://openalex.org/W4404803114","https://openalex.org/W4408101988","https://openalex.org/W4408193936","https://openalex.org/W4408926570","https://openalex.org/W4409414088","https://openalex.org/W4412563919","https://openalex.org/W4413920134"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-12-31T00:00:00"}