{"id":"https://openalex.org/W3127770520","doi":"https://doi.org/10.1007/s10489-020-02139-8","title":"Deep facial spatiotemporal network for engagement prediction in online learning","display_name":"Deep facial spatiotemporal network for engagement prediction in online learning","publication_year":2021,"publication_date":"2021-02-07","ids":{"openalex":"https://openalex.org/W3127770520","doi":"https://doi.org/10.1007/s10489-020-02139-8","mag":"3127770520"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-020-02139-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-020-02139-8","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":"Applied Intelligence","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/A5003682595","display_name":"Jiacheng Liao","orcid":"https://orcid.org/0000-0002-6173-4855"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiacheng Liao","raw_affiliation_strings":["School of Software, South China Normal University, Foshan, 528200, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, South China Normal University, Foshan, 528200, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101721116","display_name":"Yan Liang","orcid":"https://orcid.org/0000-0003-4596-587X"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yan Liang","raw_affiliation_strings":["School of Software, South China Normal University, Foshan, 528200, China"],"raw_orcid":"https://orcid.org/0000-0003-4596-587X","affiliations":[{"raw_affiliation_string":"School of Software, South China Normal University, Foshan, 528200, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023225646","display_name":"Jiahui Pan","orcid":"https://orcid.org/0000-0002-7576-6743"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiahui Pan","raw_affiliation_strings":["School of Software, South China Normal University, Foshan, 528200, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, South China Normal University, Foshan, 528200, China","institution_ids":["https://openalex.org/I187400657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101721116"],"corresponding_institution_ids":["https://openalex.org/I187400657"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":14.3225,"has_fulltext":false,"cited_by_count":115,"citation_normalized_percentile":{"value":0.99365189,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"51","issue":"10","first_page":"6609","last_page":"6621"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9988999962806702,"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"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9703999757766724,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9700999855995178,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.907701313495636},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7136721611022949},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6122797727584839},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.610639214515686},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.5619494915008545},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5462344884872437},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.496041864156723},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.479002445936203},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3811257779598236},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0735379159450531}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.907701313495636},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7136721611022949},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6122797727584839},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.610639214515686},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.5619494915008545},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5462344884872437},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.496041864156723},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.479002445936203},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3811257779598236},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0735379159450531},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-020-02139-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-020-02139-8","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"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":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6401646368","display_name":null,"funder_award_id":"61876067","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G756011928","display_name":null,"funder_award_id":"2019A1515011375","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":64,"referenced_works":["https://openalex.org/W207655610","https://openalex.org/W1522734439","https://openalex.org/W1530785623","https://openalex.org/W1902237438","https://openalex.org/W1924770834","https://openalex.org/W1947481528","https://openalex.org/W1968600824","https://openalex.org/W1997400788","https://openalex.org/W2016053056","https://openalex.org/W2034009865","https://openalex.org/W2047508432","https://openalex.org/W2064675550","https://openalex.org/W2064745772","https://openalex.org/W2081112272","https://openalex.org/W2087511931","https://openalex.org/W2105940347","https://openalex.org/W2115417283","https://openalex.org/W2139916508","https://openalex.org/W2161969291","https://openalex.org/W2164598857","https://openalex.org/W2172071592","https://openalex.org/W2172803778","https://openalex.org/W2341528187","https://openalex.org/W2345031027","https://openalex.org/W2399925524","https://openalex.org/W2481681431","https://openalex.org/W2520774990","https://openalex.org/W2558737512","https://openalex.org/W2605171178","https://openalex.org/W2752782242","https://openalex.org/W2795963335","https://openalex.org/W2807126412","https://openalex.org/W2888683367","https://openalex.org/W2889147523","https://openalex.org/W2894553678","https://openalex.org/W2895444900","https://openalex.org/W2895475421","https://openalex.org/W2895559961","https://openalex.org/W2910799119","https://openalex.org/W2913302158","https://openalex.org/W2919890647","https://openalex.org/W2934832377","https://openalex.org/W2959736447","https://openalex.org/W2962711930","https://openalex.org/W2962835968","https://openalex.org/W2962858109","https://openalex.org/W2963420686","https://openalex.org/W2963839617","https://openalex.org/W2963962355","https://openalex.org/W2964308564","https://openalex.org/W2965381101","https://openalex.org/W2966514427","https://openalex.org/W2980495289","https://openalex.org/W2989862324","https://openalex.org/W3003720578","https://openalex.org/W3007564008","https://openalex.org/W3009820249","https://openalex.org/W3014906611","https://openalex.org/W3022445612","https://openalex.org/W3038079827","https://openalex.org/W3097391898","https://openalex.org/W3101998545","https://openalex.org/W3151922143","https://openalex.org/W4255441728"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2102148524","https://openalex.org/W2770593030","https://openalex.org/W2611989081","https://openalex.org/W4281727072","https://openalex.org/W4312219546","https://openalex.org/W2314720829","https://openalex.org/W3154990682","https://openalex.org/W2171975302","https://openalex.org/W4380075502"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":34},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":5}],"updated_date":"2026-06-19T15:47:20.252518","created_date":"2025-10-10T00:00:00"}
