{"id":"https://openalex.org/W7125384987","doi":"https://doi.org/10.1007/978-981-95-5693-9_13","title":"TRHCN: A Topology-Based Region Hierarchical Convolutional Network for\u00a0EEG Emotion Recognition","display_name":"TRHCN: A Topology-Based Region Hierarchical Convolutional Network for\u00a0EEG Emotion Recognition","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7125384987","doi":"https://doi.org/10.1007/978-981-95-5693-9_13"},"language":"en","primary_location":{"id":"doi:10.1007/978-981-95-5693-9_13","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-95-5693-9_13","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5123547260","display_name":"Zheng Yao","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zheng Yao","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0004-8743-6663","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123597359","display_name":"Xuran Yao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuran Yao","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0006-9448-4967","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123588856","display_name":"Xianwei Zheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xianwei Zheng","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0009-0004-3723-6620","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101831584","display_name":"Xutao Li","orcid":"https://orcid.org/0000-0003-2728-3058"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xutao Li","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-2728-3058","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5123547260"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.2250996,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"182","last_page":"195"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.7574999928474426,"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":0.7574999928474426,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.20749999582767487,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.00279999990016222,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5455999970436096},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5339000225067139},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5011000037193298},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.4975000023841858},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.2913999855518341},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.28119999170303345}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8848999738693237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6225000023841858},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5455999970436096},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5339000225067139},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5011000037193298},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.4975000023841858},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4684999883174896},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2913999855518341},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2694000005722046},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26019999384880066},{"id":"https://openalex.org/C206310091","wikidata":"https://www.wikidata.org/wiki/Q750859","display_name":"Emotion classification","level":2,"score":0.2574000060558319}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-981-95-5693-9_13","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-981-95-5693-9_13","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1596717185","https://openalex.org/W1947251450","https://openalex.org/W1970727126","https://openalex.org/W1993671410","https://openalex.org/W2075010670","https://openalex.org/W2613375858","https://openalex.org/W2625929003","https://openalex.org/W2786768213","https://openalex.org/W2790404832","https://openalex.org/W2903959724","https://openalex.org/W2907492528","https://openalex.org/W2911286998","https://openalex.org/W2950162539","https://openalex.org/W3024961463","https://openalex.org/W3033046106","https://openalex.org/W3134204148","https://openalex.org/W4225411558","https://openalex.org/W4295934496","https://openalex.org/W4312597583","https://openalex.org/W4367031876","https://openalex.org/W4383503958","https://openalex.org/W4387623751","https://openalex.org/W4392114244","https://openalex.org/W4394699177","https://openalex.org/W4399377402","https://openalex.org/W4399449629","https://openalex.org/W4408955201"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-01-23T23:24:52.574035","created_date":"2026-01-23T00:00:00"}