{"id":"https://openalex.org/W4389371289","doi":"https://doi.org/10.1109/lsp.2023.3337727","title":"Decoding Silent Reading EEG Signals Using Adaptive Feature Graph Convolutional Network","display_name":"Decoding Silent Reading EEG Signals Using Adaptive Feature Graph Convolutional Network","publication_year":2023,"publication_date":"2023-12-06","ids":{"openalex":"https://openalex.org/W4389371289","doi":"https://doi.org/10.1109/lsp.2023.3337727"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2023.3337727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3337727","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","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/A5060381379","display_name":"Chengfang Li","orcid":"https://orcid.org/0000-0001-9077-8032"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Chengfang Li","raw_affiliation_strings":["Academy for Engineering &amp; Technology, Fudan Univerisity, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-9077-8032","affiliations":[{"raw_affiliation_string":"Academy for Engineering &amp; Technology, Fudan Univerisity, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054865190","display_name":"Gaoyun Fang","orcid":"https://orcid.org/0000-0002-8325-5193"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gaoyun Fang","raw_affiliation_strings":["Academy for Engineering &amp; Technology, Fudan Univerisity, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-8325-5193","affiliations":[{"raw_affiliation_string":"Academy for Engineering &amp; Technology, Fudan Univerisity, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355803","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-1312-0146"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yang Liu","raw_affiliation_strings":["Academy for Engineering &amp; Technology, Fudan Univerisity, Shanghai, China","Department of Computer Science, University of Toronto, Toronto, Ontario, Canada"],"raw_orcid":"https://orcid.org/0000-0002-1312-0146","affiliations":[{"raw_affiliation_string":"Academy for Engineering &amp; Technology, Fudan Univerisity, Shanghai, China","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science, University of Toronto, Toronto, Ontario, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374987","display_name":"Jing Liu","orcid":"https://orcid.org/0000-0002-2819-0200"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jing Liu","raw_affiliation_strings":["Academy for Engineering &amp; Technology, Fudan Univerisity, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-2819-0200","affiliations":[{"raw_affiliation_string":"Academy for Engineering &amp; Technology, Fudan Univerisity, Shanghai, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058393974","display_name":"Liang Song","orcid":"https://orcid.org/0000-0002-8143-9052"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang Song","raw_affiliation_strings":["Academy for Engineering &amp; Technology, Fudan Univerisity, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-8143-9052","affiliations":[{"raw_affiliation_string":"Academy for Engineering &amp; Technology, Fudan Univerisity, Shanghai, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5060381379"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8701,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.85714545,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"31","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9970999956130981,"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9943000078201294,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.7918348908424377},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7515133619308472},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6666074395179749},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5754097700119019},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5712275505065918},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5546426773071289},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5524800419807434},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5155482292175293},{"id":"https://openalex.org/keywords/brain\u2013computer-interface","display_name":"Brain\u2013computer interface","score":0.47387978434562683},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4623801112174988},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.426929771900177},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1679157316684723},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13003262877464294},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09707361459732056},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09604242444038391}],"concepts":[{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.7918348908424377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7515133619308472},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6666074395179749},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5754097700119019},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5712275505065918},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5546426773071289},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5524800419807434},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5155482292175293},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.47387978434562683},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4623801112174988},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.426929771900177},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1679157316684723},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13003262877464294},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09707361459732056},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09604242444038391},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2023.3337727","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2023.3337727","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.699999988079071,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G7087209891","display_name":null,"funder_award_id":"202306100221","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1599001363","https://openalex.org/W1985130216","https://openalex.org/W1990746954","https://openalex.org/W2094023061","https://openalex.org/W2097171469","https://openalex.org/W2151647716","https://openalex.org/W2337065964","https://openalex.org/W2559463885","https://openalex.org/W2739095506","https://openalex.org/W2741907166","https://openalex.org/W2755834936","https://openalex.org/W2790404832","https://openalex.org/W2913144232","https://openalex.org/W2915893085","https://openalex.org/W2942137712","https://openalex.org/W2962946486","https://openalex.org/W3007426534","https://openalex.org/W3161343553","https://openalex.org/W3180220247","https://openalex.org/W3205392914","https://openalex.org/W4200041731","https://openalex.org/W4210725176","https://openalex.org/W4285109316","https://openalex.org/W4296775158","https://openalex.org/W4302437626","https://openalex.org/W4361858376","https://openalex.org/W4362653702","https://openalex.org/W4366308786","https://openalex.org/W6676186243","https://openalex.org/W6726873649"],"related_works":["https://openalex.org/W3202969339","https://openalex.org/W4237513258","https://openalex.org/W1994410349","https://openalex.org/W3177028067","https://openalex.org/W1913385466","https://openalex.org/W2889342546","https://openalex.org/W2015048155","https://openalex.org/W1616854372","https://openalex.org/W1969223073","https://openalex.org/W3202408121"],"abstract_inverted_index":{"Decoding":[0],"silent":[1,110,116,175],"reading":[2,111,117,176],"Electroencephalography":[3],"(EEG)":[4],"signals":[5,17,119],"is":[6,161],"challenging":[7],"because":[8],"of":[9,32,35,123,171],"its":[10,82],"low":[11],"signal-to-noise":[12],"ratio.":[13],"In":[14,73],"addition,":[15],"EEG":[16,55,89,112,118,145,177],"are":[18],"typically":[19],"non-Euclidean":[20],"structured,":[21],"therefore":[22],"merely":[23],"using":[24],"a":[25,57,99],"two-dimensional":[26],"matrix":[27,80],"to":[28,50,86,107],"represent":[29,42,62,87],"the":[30,43,51,63,78,109,153,158,167],"variation":[31],"sampling":[33],"points":[34],"each":[36,88],"channel":[37],"in":[38,54,70],"time":[39],"cannot":[40,60],"richly":[41],"spatial":[44,66],"connection":[45],"between":[46,68],"channels.":[47],"Furthermore,":[48],"due":[49],"individual":[52],"differences":[53],"signals,":[56],"fixed":[58],"representation":[59],"adequately":[61],"temporal":[64],"and":[65,81,97,169,186],"associations":[67],"channels":[69],"real":[71],"time.":[72],"this":[74],"letter,":[75],"we":[76,92],"use":[77,93],"feature":[79],"adaptive":[83],"graph":[84],"structure":[85],"signal.":[90],"Then,":[91],"them":[94],"as":[95],"inputs":[96],"propose":[98],"novel":[100],"Adaptive":[101],"Feature":[102],"Graph":[103],"Convolutional":[104],"Network":[105],"(AFGCN)":[106],"decode":[108],"signals.":[113],"We":[114],"classify":[115],"under":[120],"different":[121],"tasks":[122],"16":[124],"subjects":[125],"from":[126],"two":[127],"publicly":[128],"available":[129],"datasets.":[130,150],"The":[131,163],"experimental":[132],"results":[133],"demonstrate":[134],"that":[135],"our":[136],"proposed":[137],"method":[138,189],"achieves":[139],"higher":[140],"decoding":[141],"accuracy":[142,156],"than":[143],"state-of-the-art":[144],"classification":[146,155],"networks":[147],"on":[148],"both":[149],"Among":[151],"them,":[152],"highest":[154],"for":[157,174,190],"four":[159],"classes":[160],"83.33%.":[162],"study":[164],"could":[165],"promote":[166],"application":[168],"development":[170],"BCI":[172],"technology":[173],"signal":[178],"decoding.":[179],"It":[180],"can":[181],"also":[182],"provide":[183],"an":[184],"efficient":[185],"convenient":[187],"communication":[188],"patients":[191],"with":[192],"language":[193],"impairment.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4}],"updated_date":"2026-05-07T13:39:58.223016","created_date":"2025-10-10T00:00:00"}
