{"id":"https://openalex.org/W2891078631","doi":"https://doi.org/10.1093/comjnl/bxy083","title":"The Conditional Diagnosability with g-Good-Neighbor of Exchanged Hypercubes","display_name":"The Conditional Diagnosability with g-Good-Neighbor of Exchanged Hypercubes","publication_year":2018,"publication_date":"2018-09-11","ids":{"openalex":"https://openalex.org/W2891078631","doi":"https://doi.org/10.1093/comjnl/bxy083","mag":"2891078631"},"language":"en","primary_location":{"id":"doi:10.1093/comjnl/bxy083","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxy083","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","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/A5044348651","display_name":"Yafei Zhai","orcid":"https://orcid.org/0000-0002-8756-6335"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yafei Zhai","raw_affiliation_strings":["Collage of Mathematics and Informatics, Fujian Normal University, Fuzhou, Fujian, PR China","Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University, Fuzhou, Fujian, PR China"],"affiliations":[{"raw_affiliation_string":"Collage of Mathematics and Informatics, Fujian Normal University, Fuzhou, Fujian, PR China","institution_ids":["https://openalex.org/I111753288"]},{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University, Fuzhou, Fujian, PR China","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055176283","display_name":"Limei Lin","orcid":"https://orcid.org/0000-0001-7227-6258"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Limei Lin","raw_affiliation_strings":["Collage of Mathematics and Informatics, Fujian Normal University, Fuzhou, Fujian, PR China","Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University, Fuzhou, Fujian, PR China"],"affiliations":[{"raw_affiliation_string":"Collage of Mathematics and Informatics, Fujian Normal University, Fuzhou, Fujian, PR China","institution_ids":["https://openalex.org/I111753288"]},{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University, Fuzhou, Fujian, PR China","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108114743","display_name":"Li Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li Xu","raw_affiliation_strings":["Collage of Mathematics and Informatics, Fujian Normal University, Fuzhou, Fujian, PR China","Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University, Fuzhou, Fujian, PR China"],"affiliations":[{"raw_affiliation_string":"Collage of Mathematics and Informatics, Fujian Normal University, Fuzhou, Fujian, PR China","institution_ids":["https://openalex.org/I111753288"]},{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University, Fuzhou, Fujian, PR China","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375456","display_name":"Xinxin Zhang","orcid":"https://orcid.org/0000-0002-1856-9145"},"institutions":[{"id":"https://openalex.org/I111753288","display_name":"Fujian Normal University","ror":"https://ror.org/020azk594","country_code":"CN","type":"education","lineage":["https://openalex.org/I111753288"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinxin Zhang","raw_affiliation_strings":["Collage of Mathematics and Informatics, Fujian Normal University, Fuzhou, Fujian, PR China","Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University, Fuzhou, Fujian, PR China"],"affiliations":[{"raw_affiliation_string":"Collage of Mathematics and Informatics, Fujian Normal University, Fuzhou, Fujian, PR China","institution_ids":["https://openalex.org/I111753288"]},{"raw_affiliation_string":"Fujian Provincial Key Laboratory of Network Security and Cryptology, Fujian Normal University, Fuzhou, Fujian, PR China","institution_ids":["https://openalex.org/I111753288"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078667775","display_name":"Yanze Huang","orcid":"https://orcid.org/0000-0002-9468-8701"},"institutions":[{"id":"https://openalex.org/I83791580","display_name":"Fujian University of Technology","ror":"https://ror.org/03c8fdb16","country_code":"CN","type":"education","lineage":["https://openalex.org/I83791580"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanze Huang","raw_affiliation_strings":["School of Mathematics and Physics, Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, PR China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Physics, Fujian Provincial Key Laboratory of Big Data Mining and Applications, Fujian University of Technology, Fuzhou, Fujian, PR China","institution_ids":["https://openalex.org/I83791580"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5108114743"],"corresponding_institution_ids":["https://openalex.org/I111753288"],"apc_list":{"value":2635,"currency":"GBP","value_usd":3232},"apc_paid":null,"fwci":0.5536,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.70558249,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"62","issue":"5","first_page":"747","last_page":"756"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10829","display_name":"Interconnection Networks and Systems","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10829","display_name":"Interconnection Networks and Systems","score":0.9995999932289124,"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.9750000238418579,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/hypercube","display_name":"Hypercube","score":0.8893837928771973},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.613824725151062},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.5989972949028015},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.5410237908363342},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5067024827003479},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4220949411392212},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.3913743495941162},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38702768087387085},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3580557703971863},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.3244163990020752},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.17591241002082825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11246833205223083}],"concepts":[{"id":"https://openalex.org/C50820777","wikidata":"https://www.wikidata.org/wiki/Q213723","display_name":"Hypercube","level":2,"score":0.8893837928771973},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.613824725151062},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.5989972949028015},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.5410237908363342},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5067024827003479},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4220949411392212},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.3913743495941162},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38702768087387085},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3580557703971863},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.3244163990020752},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.17591241002082825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11246833205223083}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1093/comjnl/bxy083","is_oa":false,"landing_page_url":"https://doi.org/10.1093/comjnl/bxy083","pdf_url":null,"source":{"id":"https://openalex.org/S44643521","display_name":"The Computer Journal","issn_l":"0010-4620","issn":["0010-4620","1460-2067"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Computer Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1464225443","https://openalex.org/W1864281877","https://openalex.org/W1964456979","https://openalex.org/W1980648360","https://openalex.org/W1981669112","https://openalex.org/W1998593254","https://openalex.org/W2006416222","https://openalex.org/W2021687791","https://openalex.org/W2026666225","https://openalex.org/W2037529689","https://openalex.org/W2041438141","https://openalex.org/W2043960444","https://openalex.org/W2060843867","https://openalex.org/W2072512967","https://openalex.org/W2074862025","https://openalex.org/W2079290705","https://openalex.org/W2079345786","https://openalex.org/W2087133484","https://openalex.org/W2102867768","https://openalex.org/W2124839136","https://openalex.org/W2127763310","https://openalex.org/W2127965136","https://openalex.org/W2136058853","https://openalex.org/W2137691751","https://openalex.org/W2141134242","https://openalex.org/W2157828285","https://openalex.org/W2293627248","https://openalex.org/W2295730991","https://openalex.org/W2325643405","https://openalex.org/W2342680475","https://openalex.org/W2499054262","https://openalex.org/W2544094673","https://openalex.org/W2592672436","https://openalex.org/W2613506792","https://openalex.org/W2792405259","https://openalex.org/W6655996311","https://openalex.org/W6661146156","https://openalex.org/W6696958339"],"related_works":["https://openalex.org/W4286907761","https://openalex.org/W2916710807","https://openalex.org/W2413588304","https://openalex.org/W2774705104","https://openalex.org/W2009411567","https://openalex.org/W3205447645","https://openalex.org/W2097769911","https://openalex.org/W2013252038","https://openalex.org/W2386598361","https://openalex.org/W2078375028"],"abstract_inverted_index":{"A":[0],"network\u2019s":[1,30],"diagnosability":[2,35,54,79,113,150,176,233],"is":[3,24,36,47,129,136,223],"the":[4,11,21,37,45,58,81,85,96,115,119,147,154,159,162,178,182,194,207,230,239],"maximum":[5,38],"number":[6],"of":[7,28,40,55,80,114,151,161,177,219],"faulty":[8,211],"vertices":[9],"that":[10,44,209],"network":[12],"can":[13],"discriminate":[14],"solely":[15],"by":[16,64,98,157],"performing":[17],"mutual":[18],"tests":[19],"among":[20],"vertices.":[22],"It":[23],"an":[25],"important":[26],"measure":[27],"a":[29,142,200,203,210],"robustness.":[31],"The":[32,51,76,110,173],"g-good-neighbor":[33,41,52,77,111,148,174,231],"conditional":[34,42,53,78,112,149,175,232],"cardinality":[39],"fault-set":[43],"system":[46],"guaranteed":[48],"to":[49,132,145,205],"identify.":[50],"EH(s,t)":[56,152,237],"under":[57,84,118,153,181,238],"PMC":[59,86,120,155,183],"model":[60,156],"has":[61],"been":[62],"proposed":[63],"Liu":[65,99],"et":[66,100],"al.":[67,101],"[Liu,":[68,102,165],"X.,":[69,103,166],"Yuan,":[70,104,167],"J.":[71,88,105,122,168,185],"and":[72,106,134,169,192],"Ma,":[73,107,170],"X.":[74,108,171],"(2014)":[75,109,172],"exchange":[82,116,179],"hypercube":[83,117,180,236],"model.":[87,121,184,241],"Taiyuan":[89,123,186],"Univ.":[90,124,187],"Sci.":[91,125,188],"Technol.,":[92,126,189],"35,":[93,127,190],"390\u2013393].":[94],"However,":[95],"method":[97,144],"390\u2013393]":[128,191],"too":[130],"complicated":[131],"follow,":[133],"it":[135],"not":[137],"complete.":[138],"We":[139],"will":[140],"propose":[141],"complete":[143],"establish":[146,229],"optimizing":[158],"structure":[160],"proof":[163],"in":[164,202],"adding":[193],"missing":[195],"case.":[196],"Also":[197],"we":[198,227],"add":[199],"ratio":[201],"table":[204],"represent":[206],"probability":[208],"set":[212],"with":[213],"size":[214],"s":[215],"contains":[216],"all":[217],"neighbors":[218],"any":[220],"vertex,":[221],"which":[222],"very":[224],"low.":[225],"Moreover,":[226],"mainly":[228],"for":[234],"exchanged":[235],"comparison":[240]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}