{"id":"https://openalex.org/W3200080549","doi":"https://doi.org/10.1109/tnnls.2021.3109898","title":"Anomaly Detection With Representative Neighbors","display_name":"Anomaly Detection With Representative Neighbors","publication_year":2021,"publication_date":"2021-09-14","ids":{"openalex":"https://openalex.org/W3200080549","doi":"https://doi.org/10.1109/tnnls.2021.3109898","mag":"3200080549","pmid":"https://pubmed.ncbi.nlm.nih.gov/34520369"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2021.3109898","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3109898","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5102923717","display_name":"Huawen Liu","orcid":"https://orcid.org/0000-0003-0535-4652"},"institutions":[{"id":"https://openalex.org/I192209268","display_name":"Shaoxing University","ror":"https://ror.org/0435tej63","country_code":"CN","type":"education","lineage":["https://openalex.org/I192209268"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huawen Liu","raw_affiliation_strings":["Department of Computer Science, Shaoxing University, Shaoxing, China"],"raw_orcid":"https://orcid.org/0000-0003-0535-4652","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Shaoxing University, Shaoxing, China","institution_ids":["https://openalex.org/I192209268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100620030","display_name":"Xiaodan Xu","orcid":"https://orcid.org/0000-0002-9650-9156"},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodan Xu","raw_affiliation_strings":["Department of Computer Science, Zhejiang Normal University, Jinhua, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Zhejiang Normal University, Jinhua, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060450735","display_name":"En-Hui Li","orcid":"https://orcid.org/0000-0002-0567-5029"},"institutions":[{"id":"https://openalex.org/I135237710","display_name":"Zhejiang Normal University","ror":"https://ror.org/01vevwk45","country_code":"CN","type":"education","lineage":["https://openalex.org/I135237710"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enhui Li","raw_affiliation_strings":["Department of Computer Science, Zhejiang Normal University, Jinhua, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Zhejiang Normal University, Jinhua, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100764178","display_name":"Shichao Zhang","orcid":"https://orcid.org/0000-0001-9981-2970"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shichao Zhang","raw_affiliation_strings":["School of Computer Science, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-9981-2970","affiliations":[{"raw_affiliation_string":"School of Computer Science, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106943753","display_name":"Xuelong Li","orcid":"https://orcid.org/0000-0003-2924-946X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]},{"id":"https://openalex.org/I890469752","display_name":"Ministry of Industry and Information Technology","ror":"https://ror.org/0385nmy68","country_code":"CN","type":"government","lineage":["https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuelong Li","raw_affiliation_strings":["School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","Key Laboratory of Intelligent Interaction and Applications, Ministry of Industry and Information Technology, Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0003-2924-946X","affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, Optics and Electronics (iOPEN), Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Key Laboratory of Intelligent Interaction and Applications, Ministry of Industry and Information Technology, Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004","https://openalex.org/I890469752"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.5617,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.95469553,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"34","issue":"6","first_page":"2831","last_page":"2841"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":1.0,"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"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.8631244897842407},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6567308902740479},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6110055446624756},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.5880606770515442},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5805227160453796},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4800337553024292},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4416431486606598},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.44073063135147095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3520314395427704},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09528756141662598},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.08336609601974487}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8631244897842407},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6567308902740479},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6110055446624756},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.5880606770515442},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5805227160453796},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4800337553024292},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4416431486606598},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.44073063135147095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3520314395427704},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09528756141662598},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.08336609601974487},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2021.3109898","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3109898","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:34520369","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34520369","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G7853147401","display_name":null,"funder_award_id":"61836016","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8631643035","display_name":null,"funder_award_id":"61976195","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W165615264","https://openalex.org/W199035648","https://openalex.org/W1995443851","https://openalex.org/W2040790840","https://openalex.org/W2041184937","https://openalex.org/W2056081083","https://openalex.org/W2079843830","https://openalex.org/W2085423423","https://openalex.org/W2102999520","https://openalex.org/W2110784166","https://openalex.org/W2117839996","https://openalex.org/W2123256336","https://openalex.org/W2132870739","https://openalex.org/W2144182447","https://openalex.org/W2197830862","https://openalex.org/W2343475530","https://openalex.org/W2406935090","https://openalex.org/W2538771869","https://openalex.org/W2568185844","https://openalex.org/W2590761734","https://openalex.org/W2592377938","https://openalex.org/W2605100742","https://openalex.org/W2731977498","https://openalex.org/W2758309723","https://openalex.org/W2766761849","https://openalex.org/W2791255512","https://openalex.org/W2791797311","https://openalex.org/W2805717175","https://openalex.org/W2888654602","https://openalex.org/W2888715009","https://openalex.org/W2894278606","https://openalex.org/W2940009787","https://openalex.org/W2944153887","https://openalex.org/W2946807672","https://openalex.org/W2949854741","https://openalex.org/W2950929076","https://openalex.org/W2963522909","https://openalex.org/W2965948517","https://openalex.org/W2966118422","https://openalex.org/W2975585604","https://openalex.org/W2980030577","https://openalex.org/W2996987977","https://openalex.org/W2998424671","https://openalex.org/W3004053876","https://openalex.org/W3008739840","https://openalex.org/W3010770313","https://openalex.org/W3015316773","https://openalex.org/W3081188215","https://openalex.org/W3091975750","https://openalex.org/W3120689699","https://openalex.org/W3160696717"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"Identifying":[0],"anomalies":[1,112],"from":[2],"data":[3,33,78,107],"has":[4,152],"attracted":[5],"increasing":[6],"attention":[7],"in":[8,44,57],"recent":[9],"years":[10],"due":[11],"to":[12,29,36,158],"its":[13],"broad":[14],"range":[15],"of":[16,127],"potential":[17],"applications.":[18],"Although":[19],"many":[20],"efforts":[21],"have":[22,47],"been":[23],"made":[24],"for":[25,70],"anomaly":[26,45,64,142,161],"detection,":[27,46],"how":[28,35],"effectively":[30,123],"handle":[31],"high-dimensional":[32,71,77],"and":[34,87,154],"exactly":[37],"explore":[38],"neighborhood":[39,97],"information,":[40],"a":[41,80,84,92,116],"fundamental":[42],"issue":[43],"not":[48],"yet":[49],"received":[50],"sufficient":[51],"concerns.":[52],"To":[53],"circumvent":[54],"these":[55],"challenges,":[56],"this":[58],"article,":[59],"we":[60],"propose":[61],"an":[62],"effective":[63],"detection":[65,143,162],"method":[66,151],"with":[67,91,139],"representative":[68,89],"neighbors":[69,90],"data.":[72,129],"Specifically,":[73],"it":[74],"projects":[75],"the":[76,106,128,149,159],"into":[79,102],"low-dimensional":[81],"space":[82],"via":[83],"sparse":[85],"operation":[86],"explores":[88],"self-representation":[93],"learning":[94],"technique.":[95],"The":[96,145],"information":[98,126],"is":[99],"then":[100],"transformed":[101],"similarity":[103],"relations,":[104],"making":[105],"converge":[108],"or":[109],"disperse.":[110],"Eventually,":[111],"are":[113],"discriminated":[114],"by":[115],"tailored":[117],"graph":[118],"clustering":[119],"technique,":[120],"which":[121],"can":[122],"reveal":[124],"structural":[125],"Extensive":[130],"experiments":[131],"were":[132],"conducted":[133],"on":[134],"ten":[135],"public":[136],"real-world":[137],"datasets":[138],"11":[140],"popular":[141],"algorithms.":[144,163],"results":[146],"show":[147],"that":[148],"proposed":[150],"encouraging":[153],"promising":[155],"performance":[156],"compared":[157],"state-of-the-art":[160]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
