{"id":"https://openalex.org/W7128428297","doi":"https://doi.org/10.1007/s42514-025-00263-w","title":"A representative time steps selection method for time-varying scientific simulation dataset based on parametric distribution models","display_name":"A representative time steps selection method for time-varying scientific simulation dataset based on parametric distribution models","publication_year":2026,"publication_date":"2026-02-09","ids":{"openalex":"https://openalex.org/W7128428297","doi":"https://doi.org/10.1007/s42514-025-00263-w"},"language":"en","primary_location":{"id":"doi:10.1007/s42514-025-00263-w","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s42514-025-00263-w","pdf_url":null,"source":{"id":"https://openalex.org/S4210190911","display_name":"CCF Transactions on High Performance Computing","issn_l":"2524-4922","issn":["2524-4922","2524-4930"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CCF Transactions on High Performance Computing","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/A5125450297","display_name":"Yuanzhi Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I2801345734","display_name":"China Academy of Engineering Physics","ror":"https://ror.org/039vqpp67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2801345734"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanzhi Chen","raw_affiliation_strings":["Graduate School of China Academy of Engineering Physics, Beijing, 100193, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of China Academy of Engineering Physics, Beijing, 100193, China","institution_ids":["https://openalex.org/I2801345734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125445823","display_name":"Yu Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I2801345734","display_name":"China Academy of Engineering Physics","ror":"https://ror.org/039vqpp67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2801345734"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Wu","raw_affiliation_strings":["Graduate School of China Academy of Engineering Physics, Beijing, 100193, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of China Academy of Engineering Physics, Beijing, 100193, China","institution_ids":["https://openalex.org/I2801345734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125467203","display_name":"Yang Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210145278","display_name":"Institute of Applied Physics and Computational Mathematics","ror":"https://ror.org/03sxpbt26","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145278"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Yang","raw_affiliation_strings":["Institute of Applied Physics and Computational Mathematics (IAPCM), Beijing, 100094, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Applied Physics and Computational Mathematics (IAPCM), Beijing, 100094, China","institution_ids":["https://openalex.org/I4210145278"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5125440846","display_name":"Yi Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210119692","display_name":"Numerical Method (China)","ror":"https://ror.org/02ns8zp42","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210119692"]},{"id":"https://openalex.org/I4210145278","display_name":"Institute of Applied Physics and Computational Mathematics","ror":"https://ror.org/03sxpbt26","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145278"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yi Cao","raw_affiliation_strings":["CAEP Software Center for High Performance Numerical Simulation, Beijing, 100088, China","Institute of Applied Physics and Computational Mathematics (IAPCM), Beijing, 100094, China"],"raw_orcid":"https://orcid.org/0000-0002-2131-5453","affiliations":[{"raw_affiliation_string":"CAEP Software Center for High Performance Numerical Simulation, Beijing, 100088, China","institution_ids":["https://openalex.org/I4210119692"]},{"raw_affiliation_string":"Institute of Applied Physics and Computational Mathematics (IAPCM), Beijing, 100094, China","institution_ids":["https://openalex.org/I4210145278"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5125440846"],"corresponding_institution_ids":["https://openalex.org/I4210119692","https://openalex.org/I4210145278"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16415845,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":"3","first_page":"275","last_page":"293"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.13670000433921814,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.13670000433921814,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11195","display_name":"Simulation Techniques and Applications","score":0.10000000149011612,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.08569999784231186,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.492900013923645},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.4438999891281128},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.43630000948905945},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.42419999837875366},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.384799987077713},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.37950000166893005},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.361299991607666},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.33309999108314514}],"concepts":[{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6015999913215637},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5741999745368958},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.492900013923645},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.4438999891281128},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.43630000948905945},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.42419999837875366},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4129999876022339},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.384799987077713},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.37950000166893005},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.361299991607666},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.33309999108314514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32339999079704285},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.3199999928474426},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.31859999895095825},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.303600013256073},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.30149999260902405},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.29919999837875366},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.2912999987602234},{"id":"https://openalex.org/C110121322","wikidata":"https://www.wikidata.org/wiki/Q865811","display_name":"Distribution (mathematics)","level":2,"score":0.2808000147342682},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.2732999920845032},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2671999931335449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26010000705718994}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s42514-025-00263-w","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s42514-025-00263-w","pdf_url":null,"source":{"id":"https://openalex.org/S4210190911","display_name":"CCF Transactions on High Performance Computing","issn_l":"2524-4922","issn":["2524-4922","2524-4930"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CCF Transactions on High Performance Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1952261887","https://openalex.org/W1981802302","https://openalex.org/W2002324009","https://openalex.org/W2109617680","https://openalex.org/W2168175751","https://openalex.org/W2509480913","https://openalex.org/W2509745984","https://openalex.org/W2554627467","https://openalex.org/W2754777568","https://openalex.org/W2755764088","https://openalex.org/W2847848426","https://openalex.org/W2888450098","https://openalex.org/W2956838592","https://openalex.org/W2959656158","https://openalex.org/W2979464575","https://openalex.org/W2982117952","https://openalex.org/W2986462210","https://openalex.org/W2994837243","https://openalex.org/W2997988937","https://openalex.org/W3120854039","https://openalex.org/W3200202160","https://openalex.org/W4212863985","https://openalex.org/W4291138222","https://openalex.org/W4327814885","https://openalex.org/W4392575671"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2026-02-10T00:00:00"}
