{"id":"https://openalex.org/W2964074194","doi":"https://doi.org/10.3390/s19153269","title":"A Hyperspectral Image Classification Method Based on Multi-Discriminator Generative Adversarial Networks","display_name":"A Hyperspectral Image Classification Method Based on Multi-Discriminator Generative Adversarial Networks","publication_year":2019,"publication_date":"2019-07-25","ids":{"openalex":"https://openalex.org/W2964074194","doi":"https://doi.org/10.3390/s19153269","mag":"2964074194","pmid":"https://pubmed.ncbi.nlm.nih.gov/31349589"},"language":"en","primary_location":{"id":"doi:10.3390/s19153269","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19153269","pdf_url":"https://www.mdpi.com/1424-8220/19/15/3269/pdf?version=1564042555","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/19/15/3269/pdf?version=1564042555","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044826967","display_name":"Hongmin Gao","orcid":"https://orcid.org/0000-0002-8404-2464"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]},{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongmin Gao","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing 211100, China","Nantong Ocean and Coastal Engineering Research Institute, Hohai University, Nantong 226300, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing 211100, China","institution_ids":["https://openalex.org/I163340411"]},{"raw_affiliation_string":"Nantong Ocean and Coastal Engineering Research Institute, Hohai University, Nantong 226300, China","institution_ids":["https://openalex.org/I199305430","https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100630333","display_name":"Dan Yao","orcid":"https://orcid.org/0000-0003-3493-9764"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dan Yao","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing 211100, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing 211100, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102902385","display_name":"Mingxia Wang","orcid":"https://orcid.org/0000-0003-2340-8941"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingxia Wang","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing 211100, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing 211100, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100703823","display_name":"Chenming Li","orcid":"https://orcid.org/0000-0003-0959-7600"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chenming Li","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing 211100, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing 211100, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024575377","display_name":"Haiyun Liu","orcid":"https://orcid.org/0000-0001-5222-1858"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyun Liu","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing 211100, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing 211100, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100904145","display_name":"Zaijun Hua","orcid":null},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zaijun Hua","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing 211100, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing 211100, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070472989","display_name":"Jiawei Wang","orcid":"https://orcid.org/0000-0003-1544-1952"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Wang","raw_affiliation_strings":["College of Computer and Information, Hohai University, Nanjing 211100, China"],"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Nanjing 211100, China","institution_ids":["https://openalex.org/I163340411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100703823"],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":3.7997,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.93812614,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"19","issue":"15","first_page":"3269","last_page":"3269"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T13890","display_name":"Remote Sensing and Land Use","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/discriminator","display_name":"Discriminator","score":0.9947047233581543},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7846503853797913},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6658405661582947},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.6307209134101868},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6019679307937622},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5712890028953552},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5071864128112793},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46421530842781067},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4478588104248047},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43960967659950256},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3275214731693268},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07114431262016296}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.9947047233581543},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7846503853797913},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6658405661582947},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.6307209134101868},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6019679307937622},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5712890028953552},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5071864128112793},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46421530842781067},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4478588104248047},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43960967659950256},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3275214731693268},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07114431262016296},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s19153269","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19153269","pdf_url":"https://www.mdpi.com/1424-8220/19/15/3269/pdf?version=1564042555","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:31349589","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31349589","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":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:2e7db3138b194432b3ace19cd33dfa95","is_oa":true,"landing_page_url":"https://doaj.org/article/2e7db3138b194432b3ace19cd33dfa95","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 19, Iss 15, p 3269 (2019)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/19/15/3269/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s19153269","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6696272","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6696272","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s19153269","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s19153269","pdf_url":"https://www.mdpi.com/1424-8220/19/15/3269/pdf?version=1564042555","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7400000095367432}],"awards":[{"id":"https://openalex.org/G1982952659","display_name":null,"funder_award_id":"No. 2018B16314","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2913994718","display_name":null,"funder_award_id":"No. 61701166","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4585096670","display_name":null,"funder_award_id":"No. 2018M632215","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G5480473430","display_name":null,"funder_award_id":"No. 2018YFC1508106","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2964074194.pdf","grobid_xml":"https://content.openalex.org/works/W2964074194.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W15375276","https://openalex.org/W2029316659","https://openalex.org/W2035299679","https://openalex.org/W2090424610","https://openalex.org/W2099471712","https://openalex.org/W2106277226","https://openalex.org/W2109891486","https://openalex.org/W2126552487","https://openalex.org/W2179290474","https://openalex.org/W2412510955","https://openalex.org/W2423557781","https://openalex.org/W2432004435","https://openalex.org/W2516282711","https://openalex.org/W2523714292","https://openalex.org/W2546942002","https://openalex.org/W2557414982","https://openalex.org/W2593528311","https://openalex.org/W2620623908","https://openalex.org/W2778764040","https://openalex.org/W2788125892","https://openalex.org/W2797697401","https://openalex.org/W2883502031","https://openalex.org/W2883608858","https://openalex.org/W2909041182","https://openalex.org/W2950524887","https://openalex.org/W2951004968","https://openalex.org/W2952203075","https://openalex.org/W2963470893","https://openalex.org/W2963784072","https://openalex.org/W2964028737","https://openalex.org/W2964201867","https://openalex.org/W4240485910","https://openalex.org/W6600650022"],"related_works":["https://openalex.org/W3217069185","https://openalex.org/W4308928038","https://openalex.org/W3049340819","https://openalex.org/W4200430540","https://openalex.org/W3141413246","https://openalex.org/W2888032422","https://openalex.org/W4391792221","https://openalex.org/W4322709305","https://openalex.org/W2808862658","https://openalex.org/W4391899165"],"abstract_inverted_index":{"Hyperspectral":[0],"remote":[1],"sensing":[2],"images":[3],"(HSIs)":[4],"have":[5],"great":[6],"research":[7],"and":[8,41,113,143,168,170,184,204,248],"application":[9],"value.":[10],"At":[11,256],"present,":[12],"deep":[13,35],"learning":[14,36],"has":[15,264],"become":[16],"an":[17],"important":[18],"method":[19],"for":[20],"studying":[21],"image":[22],"processing.":[23],"The":[24,217],"Generative":[25],"Adversarial":[26],"Network":[27],"(GAN)":[28],"model":[29,44,86,112,157],"is":[30,165],"a":[31,118,159,198],"typical":[32],"network":[33],"of":[34,61,71,117,124,140,187,208,211,224,230,236,242,254,262],"developed":[37],"in":[38,58,108,244],"recent":[39],"years":[40],"the":[42,59,64,69,75,83,96,102,105,109,114,122,125,132,137,154,162,171,181,188,206,209,214,222,227,231,234,240,251,257,260],"GAN":[43,85,111,156,190],"can":[45,174,249],"also":[46],"be":[47],"used":[48],"to":[49,68,82,87,130],"classify":[50],"HSIs.":[51,62,255],"However,":[52],"there":[53],"are":[54],"still":[55],"some":[56],"problems":[57],"classification":[60,146,215,252],"On":[63,101],"one":[65],"hand,":[66,104],"due":[67],"existence":[70],"different":[72,265,268],"objects":[73],"with":[74,153,158],"same":[76,258],"spectrum":[77],"phenomenon,":[78],"if":[79],"only":[80],"according":[81],"original":[84,110,155,189],"generate":[88],"samples":[89,173,247],"from":[90],"spectral":[91,246],"samples,":[92,238],"it":[93],"will":[94],"produce":[95],"wrong":[97],"detailed":[98],"characteristic":[99],"information.":[100],"other":[103],"gradient":[106],"disappears":[107],"scoring":[115,138],"ability":[116,229],"single":[119,160,193],"discriminator":[120],"limits":[121],"quality":[123],"generated":[126,172,191],"samples.":[127],"In":[128],"order":[129],"solve":[131],"above":[133],"problems,":[134],"we":[135],"introduce":[136],"mechanism":[139],"multi-discriminator":[141,199,225],"collaboration":[142],"complete":[144],"semi-supervised":[145],"on":[147,213,267],"three":[148],"hyperspectral":[149],"data":[150,269],"sets.":[151,270],"Compared":[152],"discriminator,":[161,194],"adjusted":[163],"criterion":[164],"more":[166,176],"rigorous":[167],"accurate":[169,177],"show":[175,220],"characteristics.":[178],"Aiming":[179],"at":[180],"pattern":[182],"collapse":[183],"diversity":[185],"deficiency":[186],"by":[192],"this":[195],"paper":[196],"proposes":[197],"generative":[200],"adversarial":[201],"networks":[202],"(MDGANs)":[203],"studies":[205],"influence":[207],"number":[210,261],"discriminators":[212,263],"results.":[216],"experimental":[218],"results":[219],"that":[221],"introduction":[223],"improves":[226],"judgment":[228],"model,":[232],"ensures":[233],"effect":[235,253],"generating":[237,245],"solves":[239],"problem":[241],"noise":[243],"improve":[250],"time,":[259],"effects":[266]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":7}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
