{"id":"https://openalex.org/W3015332421","doi":"https://doi.org/10.1109/tnnls.2020.2980632","title":"Steady-State Design of Large-Dimensional Boolean Networks","display_name":"Steady-State Design of Large-Dimensional Boolean Networks","publication_year":2020,"publication_date":"2020-04-10","ids":{"openalex":"https://openalex.org/W3015332421","doi":"https://doi.org/10.1109/tnnls.2020.2980632","mag":"3015332421","pmid":"https://pubmed.ncbi.nlm.nih.gov/32287018"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2020.2980632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.2980632","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/A5017943302","display_name":"Jie Zhong","orcid":"https://orcid.org/0000-0002-7196-5753"},"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":"Jie Zhong","raw_affiliation_strings":["College of Mathematics and Computer Science, Zhejiang Normal University, Jinhua, China"],"raw_orcid":"https://orcid.org/0000-0002-7196-5753","affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Zhejiang Normal University, Jinhua, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031896168","display_name":"Bowen Li","orcid":"https://orcid.org/0000-0002-3269-2529"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowen Li","raw_affiliation_strings":["School of Cyber Science and Engineering, Southeast University, Nanjing, China","School of Information Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-3269-2529","affiliations":[{"raw_affiliation_string":"School of Cyber Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Information Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356160","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0003-3761-0104"},"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":"Yang Liu","raw_affiliation_strings":["College of Mathematics and Computer Science, Zhejiang Normal University, Jinhua, China"],"raw_orcid":"https://orcid.org/0000-0003-3761-0104","affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Zhejiang Normal University, Jinhua, China","institution_ids":["https://openalex.org/I135237710"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049482611","display_name":"Jianquan Lu","orcid":"https://orcid.org/0000-0003-4423-6034"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianquan Lu","raw_affiliation_strings":["School of Mathematics, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-4423-6034","affiliations":[{"raw_affiliation_string":"School of Mathematics, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100711520","display_name":"Weihua Gui","orcid":"https://orcid.org/0000-0002-5337-6445"},"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":"Weihua Gui","raw_affiliation_strings":["School of Automation, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-5337-6445","affiliations":[{"raw_affiliation_string":"School of Automation, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8348,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.9458279,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"32","issue":"3","first_page":"1149","last_page":"1161"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10363","display_name":"Low-power high-performance VLSI design","score":0.9864000082015991,"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/T11005","display_name":"Radiation Effects in Electronics","score":0.9847999811172485,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5100029706954956},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4838606119155884},{"id":"https://openalex.org/keywords/boolean-network","display_name":"Boolean network","score":0.4599115252494812},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3549097776412964},{"id":"https://openalex.org/keywords/boolean-function","display_name":"Boolean function","score":0.3233911991119385},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19153538346290588}],"concepts":[{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5100029706954956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4838606119155884},{"id":"https://openalex.org/C134444547","wikidata":"https://www.wikidata.org/wiki/Q585230","display_name":"Boolean network","level":3,"score":0.4599115252494812},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3549097776412964},{"id":"https://openalex.org/C187455244","wikidata":"https://www.wikidata.org/wiki/Q942353","display_name":"Boolean function","level":2,"score":0.3233911991119385},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19153538346290588}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2020.2980632","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2020.2980632","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:32287018","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32287018","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":[{"score":0.5099999904632568,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G1160280108","display_name":null,"funder_award_id":"61903339","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G212116678","display_name":null,"funder_award_id":"61321003","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2277998222","display_name":null,"funder_award_id":"BK20170019","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G3735285185","display_name":"\u591a\u590d\u53d8\u4e2d\u5fae\u5206\u65b9\u7a0b\u82e5\u5e72\u95ee\u9898\u7684\u7814\u7a76","funder_award_id":"11671361","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4387401291","display_name":null,"funder_award_id":"LD19A010001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G622103538","display_name":null,"funder_award_id":"LR20F030001","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G6768575545","display_name":null,"funder_award_id":"61973078","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7397824143","display_name":null,"funder_award_id":"61573102","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"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1548164611","https://openalex.org/W1556027180","https://openalex.org/W1831862752","https://openalex.org/W1971224531","https://openalex.org/W2014382043","https://openalex.org/W2014566660","https://openalex.org/W2018519939","https://openalex.org/W2025387155","https://openalex.org/W2042431901","https://openalex.org/W2044013267","https://openalex.org/W2053367939","https://openalex.org/W2074291458","https://openalex.org/W2077895748","https://openalex.org/W2088259098","https://openalex.org/W2088465320","https://openalex.org/W2095701698","https://openalex.org/W2096412361","https://openalex.org/W2113268441","https://openalex.org/W2114518254","https://openalex.org/W2133851381","https://openalex.org/W2134367920","https://openalex.org/W2143549867","https://openalex.org/W2144885342","https://openalex.org/W2151852639","https://openalex.org/W2170704198","https://openalex.org/W2213101934","https://openalex.org/W2267936660","https://openalex.org/W2289962199","https://openalex.org/W2324132233","https://openalex.org/W2340667721","https://openalex.org/W2429265837","https://openalex.org/W2465040985","https://openalex.org/W2556654037","https://openalex.org/W2612595888","https://openalex.org/W2625044957","https://openalex.org/W2625665002","https://openalex.org/W2734787346","https://openalex.org/W2738693741","https://openalex.org/W2753793742","https://openalex.org/W2786241182","https://openalex.org/W2810218660","https://openalex.org/W2887329639","https://openalex.org/W2903032389","https://openalex.org/W2904868358","https://openalex.org/W2911779692","https://openalex.org/W2920149896","https://openalex.org/W2941038413","https://openalex.org/W2962864721","https://openalex.org/W2967826606","https://openalex.org/W3103786587","https://openalex.org/W3105108438","https://openalex.org/W6739524470"],"related_works":["https://openalex.org/W2075126249","https://openalex.org/W2105128170","https://openalex.org/W2918709778","https://openalex.org/W1991822629","https://openalex.org/W3141532631","https://openalex.org/W52722086","https://openalex.org/W2495550620","https://openalex.org/W2995277268","https://openalex.org/W2558644562","https://openalex.org/W2011175857"],"abstract_inverted_index":{"Analysis":[0],"and":[1,41,106,136,170],"design":[2,30,51],"of":[3,17,31,68,100,114,116,139],"steady":[4],"states":[5,163,173],"representing":[6],"cell":[7,11],"types,":[8],"such":[9],"as":[10,151],"death":[12],"or":[13],"unregulated":[14],"growth,":[15],"are":[16],"significant":[18],"interest":[19],"in":[20,52,77,102,142,153],"modeling":[21],"genetic":[22],"regulatory":[23],"networks.":[24],"In":[25],"this":[26,53,78],"article,":[27],"the":[28,48,58,65,71,98,103,111,117,121,154,156,165,175],"steady-state":[29],"large-dimensional":[32,104],"Boolean":[33],"networks":[34],"(BNs)":[35],"is":[36,55,74,97,110,124],"studied":[37],"via":[38],"model":[39,138,157],"reduction":[40,158],"pinning":[42,49],"control.":[43],"Compared":[44],"with":[45,133,147,167,177],"existing":[46],"literature,":[47],"control":[50],"article":[54,79],"based":[56],"on":[57,64],"original":[59],"node's":[60],"connection,":[61],"but":[62],"not":[63],"state-transition":[66],"matrix":[67],"BNs.":[69],"Hence,":[70],"computational":[72],"complexity":[73],"dramatically":[75],"reduced":[76,118],"from":[80],"O(2":[81,92],"<sup":[82,87],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[83,88],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">n</sup>":[84,89],"\u00d7":[85,93],"2":[86],")":[90],"to":[91],"2'),":[94],"where":[95],"n":[96,109],"number":[99,113],"nodes":[101,135],"BN":[105],"r":[107],"<;":[108],"largest":[112],"in-neighbors":[115],"BN.":[119],"Finally,":[120],"proposed":[122],"method":[123,159],"well":[125],"demonstrated":[126],"by":[127],"a":[128,137],"T-LGL":[129],"survival":[130,140],"signaling":[131,141],"network":[132,166,176],"18":[134,168],"large":[143],"granular":[144],"lymphocyte":[145],"leukemia":[146],"29":[148,178],"nodes.":[149,179],"Just":[150],"shown":[152],"simulations,":[155],"reduces":[160],"99.98%":[161],"redundant":[162,172],"for":[164,174],"nodes,":[169],"99.99%":[171]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":8}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
