{"id":"https://openalex.org/W4206913723","doi":"https://doi.org/10.1007/s11704-021-0236-9","title":"ResLNet: deep residual LSTM network with longer input for action recognition","display_name":"ResLNet: deep residual LSTM network with longer input for action recognition","publication_year":2022,"publication_date":"2022-01-22","ids":{"openalex":"https://openalex.org/W4206913723","doi":"https://doi.org/10.1007/s11704-021-0236-9"},"language":"en","primary_location":{"id":"doi:10.1007/s11704-021-0236-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11704-021-0236-9","pdf_url":null,"source":{"id":"https://openalex.org/S4210231404","display_name":"Frontiers of Computer Science","issn_l":"2095-2228","issn":["2095-2228","2095-2236"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311889","host_organization_name":"Higher Education Press","host_organization_lineage":["https://openalex.org/P4310311889"],"host_organization_lineage_names":["Higher Education Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers of Computer Science","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/A5100428385","display_name":"Tian Wang","orcid":"https://orcid.org/0000-0001-8427-4495"},"institutions":[{"id":"https://openalex.org/I51622183","display_name":"Shaanxi University of Science and Technology","ror":"https://ror.org/034t3zs45","country_code":"CN","type":"education","lineage":["https://openalex.org/I51622183"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Wang","raw_affiliation_strings":["Institute of Artificial Intelligence, Beihang University, Beijing, 100191, China","Shaanxi University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Beihang University, Beijing, 100191, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Shaanxi University of Science and Technology","institution_ids":["https://openalex.org/I51622183"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101637628","display_name":"Jiakun Li","orcid":"https://orcid.org/0000-0003-1487-4967"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiakun Li","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China","Beihang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Beihang University","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000266144","display_name":"Huai\u2010Ning Wu","orcid":"https://orcid.org/0000-0002-4366-5147"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huai-Ning Wu","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China","School of Automation and Electrical Engineering [Beijing] (University of Science and Technology Beijing)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Automation and Electrical Engineering [Beijing] (University of Science and Technology Beijing)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029512731","display_name":"Ce Li","orcid":"https://orcid.org/0000-0002-4627-6112"},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ce Li","raw_affiliation_strings":["College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, 730050, China","School of Civil Engineering, Lanzhou University of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, 730050, China","institution_ids":["https://openalex.org/I22716506"]},{"raw_affiliation_string":"School of Civil Engineering, Lanzhou University of Technology","institution_ids":["https://openalex.org/I22716506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066400774","display_name":"Hichem Snoussi","orcid":"https://orcid.org/0000-0002-6563-2135"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I140494188","display_name":"Universit\u00e9 de Technologie de Troyes","ror":"https://ror.org/01qhqcj41","country_code":"FR","type":"education","lineage":["https://openalex.org/I140494188"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hichem Snoussi","raw_affiliation_strings":["Institute Charles Delaunay-LM2S FRE CNRS 2019, University of Technology of Troyes, Troyes, 10010, France","Laboratoire Mod\u00e9lisation et S\u00fbret\u00e9 des Syst\u00e8mes","Universit\u00e9 de Technologie de Troyes"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute Charles Delaunay-LM2S FRE CNRS 2019, University of Technology of Troyes, Troyes, 10010, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I140494188"]},{"raw_affiliation_string":"Laboratoire Mod\u00e9lisation et S\u00fbret\u00e9 des Syst\u00e8mes","institution_ids":[]},{"raw_affiliation_string":"Universit\u00e9 de Technologie de Troyes","institution_ids":["https://openalex.org/I140494188"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100741279","display_name":"Yang Wu","orcid":"https://orcid.org/0000-0001-8010-6857"},"institutions":[{"id":"https://openalex.org/I75917431","display_name":"Nara Institute of Science and Technology","ror":"https://ror.org/05bhada84","country_code":"JP","type":"education","lineage":["https://openalex.org/I75917431"]},{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["JP","US"],"is_corresponding":true,"raw_author_name":"Yang Wu","raw_affiliation_strings":["Institute for Research Initiatives, Nara Institute of Science and Technology, Nara, 630-0192, Japan","University of California [Berkeley]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Research Initiatives, Nara Institute of Science and Technology, Nara, 630-0192, Japan","institution_ids":["https://openalex.org/I75917431"]},{"raw_affiliation_string":"University of California [Berkeley]","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100741279"],"corresponding_institution_ids":["https://openalex.org/I75917431","https://openalex.org/I95457486"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890},"apc_paid":null,"fwci":5.183,"has_fulltext":false,"cited_by_count":132,"citation_normalized_percentile":{"value":0.96974312,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"16","issue":"6","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11227","display_name":"Diabetic Foot Ulcer Assessment and Management","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9937000274658203,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.883110523223877},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7435669898986816},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7193585634231567},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6570135951042175},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6433653831481934},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6182016730308533},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.6145955324172974},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5429830551147461},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5286415219306946},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5081467628479004},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5010426044464111},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.4770633280277252},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4571928083896637},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.44546568393707275},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2618063688278198},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.17603716254234314},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.11240014433860779},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.08718481659889221}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.883110523223877},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7435669898986816},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7193585634231567},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6570135951042175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6433653831481934},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6182016730308533},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.6145955324172974},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5429830551147461},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5286415219306946},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5081467628479004},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5010426044464111},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.4770633280277252},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4571928083896637},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.44546568393707275},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2618063688278198},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.17603716254234314},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.11240014433860779},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.08718481659889221},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11704-021-0236-9","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11704-021-0236-9","pdf_url":null,"source":{"id":"https://openalex.org/S4210231404","display_name":"Frontiers of Computer Science","issn_l":"2095-2228","issn":["2095-2228","2095-2236"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311889","host_organization_name":"Higher Education Press","host_organization_lineage":["https://openalex.org/P4310311889"],"host_organization_lineage_names":["Higher Education Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers of Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-04453693v1","is_oa":false,"landing_page_url":"https://utt.hal.science/hal-04453693","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Frontiers of Computer Science, 2022, 16 (6), pp.166334. &#x27E8;10.1007/s11704-021-0236-9&#x27E9;","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6800000071525574,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1595717062","https://openalex.org/W1923404803","https://openalex.org/W1947481528","https://openalex.org/W2020163092","https://openalex.org/W2024868105","https://openalex.org/W2097117768","https://openalex.org/W2105101328","https://openalex.org/W2107323262","https://openalex.org/W2108333036","https://openalex.org/W2126579184","https://openalex.org/W2193413348","https://openalex.org/W2194775991","https://openalex.org/W2235034809","https://openalex.org/W2302255633","https://openalex.org/W2549139847","https://openalex.org/W2595328592","https://openalex.org/W2769039400","https://openalex.org/W2792119093","https://openalex.org/W2836347898","https://openalex.org/W2895589658","https://openalex.org/W2900782514","https://openalex.org/W2909593838","https://openalex.org/W2911293880","https://openalex.org/W2962934715","https://openalex.org/W2962949994","https://openalex.org/W2963155035","https://openalex.org/W2963446712","https://openalex.org/W2963524571","https://openalex.org/W2963616706","https://openalex.org/W2963645879","https://openalex.org/W2963820951","https://openalex.org/W2970186699","https://openalex.org/W2997667300","https://openalex.org/W3003402380","https://openalex.org/W6606868972","https://openalex.org/W6955071965"],"related_works":["https://openalex.org/W1998222986","https://openalex.org/W2004108207","https://openalex.org/W2901551566","https://openalex.org/W4303411729","https://openalex.org/W4297270893","https://openalex.org/W2182357018","https://openalex.org/W2577671007","https://openalex.org/W1591216093","https://openalex.org/W2965803933","https://openalex.org/W2912100719"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":68},{"year":2025,"cited_by_count":53},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
