{"id":"https://openalex.org/W7161568368","doi":"https://doi.org/10.1007/s00180-026-01760-4","title":"Iterative causal discovery uncovers dynamic effects in wearable exercise data","display_name":"Iterative causal discovery uncovers dynamic effects in wearable exercise data","publication_year":2026,"publication_date":"2026-05-18","ids":{"openalex":"https://openalex.org/W7161568368","doi":"https://doi.org/10.1007/s00180-026-01760-4"},"language":"en","primary_location":{"id":"doi:10.1007/s00180-026-01760-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00180-026-01760-4","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"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":"Computational Statistics","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/A5087507758","display_name":"Tao Xie","orcid":"https://orcid.org/0000-0002-6727-7739"},"institutions":[{"id":"https://openalex.org/I4210113474","display_name":"Kyungil University","ror":"https://ror.org/024kwvm84","country_code":"KR","type":"education","lineage":["https://openalex.org/I4210113474"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Tao Xie","raw_affiliation_strings":["Department of Sports Convergence, Kyungil University, Gyeongsan, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0007-9968-7103","affiliations":[{"raw_affiliation_string":"Department of Sports Convergence, Kyungil University, Gyeongsan, Republic of Korea","institution_ids":["https://openalex.org/I4210113474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136360861","display_name":"Yaxian Hao","orcid":"https://orcid.org/0009-0008-7670-684X"},"institutions":[{"id":"https://openalex.org/I174104030","display_name":"Taiyuan Normal University","ror":"https://ror.org/051k00p03","country_code":"CN","type":"education","lineage":["https://openalex.org/I174104030"]},{"id":"https://openalex.org/I4210139885","display_name":"Shanxi Normal University","ror":null,"country_code":"CN","type":null,"lineage":["https://openalex.org/I4210139885"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaxian Hao","raw_affiliation_strings":["School of Mathematical Sciences, Shanxi Normal University, Taiyuan, China"],"raw_orcid":"https://orcid.org/0009-0008-7670-684X","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, Shanxi Normal University, Taiyuan, China","institution_ids":["https://openalex.org/I174104030","https://openalex.org/I4210139885"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111716165","display_name":"Fen Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Fen Xie","raw_affiliation_strings":["Department of Data Science, City University of Hong Kong, Hong Kong SAR, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Data Science, City University of Hong Kong, Hong Kong SAR, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5087507758"],"corresponding_institution_ids":["https://openalex.org/I4210113474"],"apc_list":{"value":3090,"currency":"USD","value_usd":3090},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.54688157,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"41","issue":"4","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.29019999504089355,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.29019999504089355,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11209","display_name":"Cardiovascular and exercise physiology","score":0.08640000224113464,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.07689999788999557,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/causal-structure","display_name":"Causal structure","score":0.6445000171661377},{"id":"https://openalex.org/keywords/heart-rate","display_name":"Heart rate","score":0.6233000159263611},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5214999914169312},{"id":"https://openalex.org/keywords/mediation","display_name":"Mediation","score":0.48539999127388},{"id":"https://openalex.org/keywords/false-discovery-rate","display_name":"False discovery rate","score":0.4681999981403351},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.46219998598098755},{"id":"https://openalex.org/keywords/causal-model","display_name":"Causal model","score":0.4099000096321106}],"concepts":[{"id":"https://openalex.org/C163504300","wikidata":"https://www.wikidata.org/wiki/Q2364925","display_name":"Causal structure","level":2,"score":0.6445000171661377},{"id":"https://openalex.org/C2777953023","wikidata":"https://www.wikidata.org/wiki/Q1073121","display_name":"Heart rate","level":3,"score":0.6233000159263611},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5253000259399414},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5214999914169312},{"id":"https://openalex.org/C179420905","wikidata":"https://www.wikidata.org/wiki/Q223871","display_name":"Mediation","level":2,"score":0.48539999127388},{"id":"https://openalex.org/C193244246","wikidata":"https://www.wikidata.org/wiki/Q5432696","display_name":"False discovery rate","level":3,"score":0.4681999981403351},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.46219998598098755},{"id":"https://openalex.org/C11671645","wikidata":"https://www.wikidata.org/wiki/Q5054567","display_name":"Causal model","level":2,"score":0.4099000096321106},{"id":"https://openalex.org/C71635504","wikidata":"https://www.wikidata.org/wiki/Q933954","display_name":"Heart rate variability","level":4,"score":0.39719998836517334},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.38190001249313354},{"id":"https://openalex.org/C2992768293","wikidata":"https://www.wikidata.org/wiki/Q623293","display_name":"Metabolic rate","level":2,"score":0.352400004863739},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33980000019073486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33889999985694885},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.32100000977516174},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29750001430511475},{"id":"https://openalex.org/C64357122","wikidata":"https://www.wikidata.org/wiki/Q1149766","display_name":"Causality (physics)","level":2,"score":0.2775000035762787},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.2583000063896179},{"id":"https://openalex.org/C3020255362","wikidata":"https://www.wikidata.org/wiki/Q747883","display_name":"Physical activity","level":2,"score":0.2572999894618988},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.25450000166893005},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2529999911785126}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00180-026-01760-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00180-026-01760-4","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"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":"Computational Statistics","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":24,"referenced_works":["https://openalex.org/W2008170431","https://openalex.org/W2031647209","https://openalex.org/W2084922391","https://openalex.org/W2086331397","https://openalex.org/W2092059090","https://openalex.org/W2134652049","https://openalex.org/W2143891888","https://openalex.org/W2145429839","https://openalex.org/W2610637780","https://openalex.org/W2798958557","https://openalex.org/W2808860925","https://openalex.org/W2992557239","https://openalex.org/W3027724856","https://openalex.org/W3047359813","https://openalex.org/W3139263210","https://openalex.org/W4200102736","https://openalex.org/W4248805844","https://openalex.org/W4290731943","https://openalex.org/W4401944184","https://openalex.org/W4406611195","https://openalex.org/W4409363708","https://openalex.org/W4409450035","https://openalex.org/W4411606088","https://openalex.org/W4414100351"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2026-05-19T00:00:00"}