{"id":"https://openalex.org/W7163265836","doi":"https://doi.org/10.1016/j.neucom.2026.134189","title":"Fine-grained inter-series dependency enhanced mining for multi-domain multivariate time series forecasts","display_name":"Fine-grained inter-series dependency enhanced mining for multi-domain multivariate time series forecasts","publication_year":2026,"publication_date":"2026-06-02","ids":{"openalex":"https://openalex.org/W7163265836","doi":"https://doi.org/10.1016/j.neucom.2026.134189"},"language":"en","primary_location":{"id":"doi:10.1016/j.neucom.2026.134189","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.neucom.2026.134189","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"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":"Neurocomputing","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/A5137677599","display_name":"Qi Li","orcid":"https://orcid.org/0000-0001-8000-0745"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qi Li","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-8000-0745","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114107597","display_name":"Tianmu Sha","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tianmu Sha","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137689791","display_name":"Chenyang He","orcid":"https://orcid.org/0009-0006-3561-3159"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chenyang He","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0006-3561-3159","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137662363","display_name":"Zhenyu Zhang","orcid":"https://orcid.org/0000-0001-5589-7538"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenyu Zhang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-5589-7538","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137709914","display_name":"Xiaolei Hua","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaolei Hua","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137692200","display_name":"Dayuan Fu","orcid":"https://orcid.org/0000-0003-3614-6653"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dayuan Fu","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-3614-6653","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5137649112","display_name":"Lin Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin Zhu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122031382","display_name":"Yinglei Teng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yinglei Teng","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-7170-4764","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5137670107","display_name":"Yong Zhang","orcid":"https://orcid.org/0000-0003-4997-698X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yong Zhang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-4997-698X","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":9,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2470,"currency":"USD","value_usd":2470},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.90007983,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":"697","issue":null,"first_page":"134189","last_page":"134189"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.741100013256073,"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":0.741100013256073,"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/T11326","display_name":"Stock Market Forecasting Methods","score":0.09000000357627869,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.05820000171661377,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"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/dependency","display_name":"Dependency (UML)","score":0.6589000225067139},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.641700029373169},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5634999871253967},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5615000128746033}],"concepts":[{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6589000225067139},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.641700029373169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5877000093460083},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5634999871253967},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5615000128746033},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4449000060558319},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.40619999170303345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34619998931884766},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3264000117778778},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27230000495910645},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26010000705718994},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.25870001316070557}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.neucom.2026.134189","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.neucom.2026.134189","pdf_url":null,"source":{"id":"https://openalex.org/S45693802","display_name":"Neurocomputing","issn_l":"0925-2312","issn":["0925-2312","1872-8286"],"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":"Neurocomputing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2008620264","https://openalex.org/W2060581589","https://openalex.org/W2148606196","https://openalex.org/W2890330768","https://openalex.org/W3111518852","https://openalex.org/W4391621245","https://openalex.org/W4396877909","https://openalex.org/W4401198529","https://openalex.org/W4401560594"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-06-03T00:00:00"}
