{"id":"https://openalex.org/W4410086383","doi":"https://doi.org/10.1109/lsp.2025.3567026","title":"RBFNN-Enabled Distributed Estimation Over Complex Networks in Intricate Environments","display_name":"RBFNN-Enabled Distributed Estimation Over Complex Networks in Intricate Environments","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410086383","doi":"https://doi.org/10.1109/lsp.2025.3567026"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2025.3567026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3567026","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":null,"display_name":"Qizhen Wang","orcid":"https://orcid.org/0009-0000-5749-6519"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qizhen Wang","raw_affiliation_strings":["National Key Laboratory of Wireless Communications, University of Electronic Science and Technology of China (UESTC), Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0000-5749-6519","affiliations":[{"raw_affiliation_string":"National Key Laboratory of Wireless Communications, University of Electronic Science and Technology of China (UESTC), Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100688670","display_name":"Gang Wang","orcid":"https://orcid.org/0000-0002-7150-1000"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Wang","raw_affiliation_strings":["School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-7150-1000","affiliations":[{"raw_affiliation_string":"School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007832415","display_name":"Ying\u2010Chang Liang","orcid":"https://orcid.org/0000-0003-2671-5090"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying-Chang Liang","raw_affiliation_strings":["Center for Intelligent Networking and Communications (CINC), University of Electronic Science and Technology of China (UESTC), Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-2671-5090","affiliations":[{"raw_affiliation_string":"Center for Intelligent Networking and Communications (CINC), University of Electronic Science and Technology of China (UESTC), Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5175,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.92357894,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"32","issue":null,"first_page":"2299","last_page":"2303"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9096999764442444,"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"}},"topics":[{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9096999764442444,"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":0.662333607673645},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5040751695632935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38503432273864746},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11401572823524475}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.662333607673645},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5040751695632935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38503432273864746},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11401572823524475},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2025.3567026","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2025.3567026","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":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1701760339","https://openalex.org/W2042664989","https://openalex.org/W2119434824","https://openalex.org/W2121820607","https://openalex.org/W2130442323","https://openalex.org/W2418646289","https://openalex.org/W2592211823","https://openalex.org/W2791349464","https://openalex.org/W3086127253","https://openalex.org/W4283719749","https://openalex.org/W4295511532","https://openalex.org/W4312520746","https://openalex.org/W4387340848","https://openalex.org/W4396542130","https://openalex.org/W4399404562","https://openalex.org/W4401505088","https://openalex.org/W4405269766","https://openalex.org/W4405908056","https://openalex.org/W4406793783","https://openalex.org/W4408017192"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"When":[0],"complex":[1],"networks":[2,71],"are":[3,73],"used":[4],"for":[5,83],"distributed":[6],"estimation,":[7],"spatial":[8],"anisotropy,":[9],"particularly":[10],"the":[11,44,66,107],"potential":[12],"heterogeneity":[13],"in":[14,23,49,62,116],"noise":[15,85],"distributions":[16],"across":[17],"multiple":[18],"nodes,":[19,36],"poses":[20],"significant":[21],"challenges":[22],"practice.":[24],"In":[25],"such":[26],"intricate":[27,117],"environments,":[28],"while":[29],"state-of-the-art":[30],"algorithms":[31],"may":[32],"excel":[33],"at":[34,76],"specialized":[35],"their":[37],"inability":[38],"to":[39,96,102],"maintain":[40],"consistent":[41,112],"performance":[42,115],"over":[43,125],"entire":[45],"network":[46,118],"often":[47],"results":[48],"systemic":[50],"degradation.":[51],"To":[52],"address":[53],"this":[54,63,88],"fundamental":[55],"limitation,":[56],"an":[57],"innovative":[58],"framework":[59],"is":[60,94],"proposed":[61,108],"letter,":[64],"wherein":[65],"radial":[67],"basis":[68],"function":[69],"neural":[70],"(RBFNNs)":[72],"uniformly":[74],"deployed":[75],"each":[77],"node,":[78],"serving":[79],"as":[80],"universal":[81],"approximators":[82],"various":[84],"profiles.":[86],"Leveraging":[87],"framework,":[89],"a":[90],"recursive-type":[91],"diffusion":[92],"algorithm":[93,109],"introduced":[95],"achieve":[97],"enhanced":[98],"network-wide":[99],"performance.":[100],"Owing":[101],"RBFNN's":[103],"remarkable":[104],"modeling":[105],"capacity,":[106],"can":[110],"sustain":[111],"and":[113],"superior":[114],"environments.":[119],"Simulations":[120],"undoubtedly":[121],"validate":[122],"its":[123],"superiority":[124],"advanced":[126],"competing":[127],"alternatives.":[128]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}