{"id":"https://openalex.org/W3091030342","doi":"https://doi.org/10.3390/rs12182979","title":"SLRL4D: Joint Restoration of Subspace Low-Rank Learning and Non-Local 4-D Transform Filtering for Hyperspectral Image","display_name":"SLRL4D: Joint Restoration of Subspace Low-Rank Learning and Non-Local 4-D Transform Filtering for Hyperspectral Image","publication_year":2020,"publication_date":"2020-09-14","ids":{"openalex":"https://openalex.org/W3091030342","doi":"https://doi.org/10.3390/rs12182979","mag":"3091030342"},"language":"en","primary_location":{"id":"doi:10.3390/rs12182979","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12182979","pdf_url":"https://www.mdpi.com/2072-4292/12/18/2979/pdf?version=1600078131","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/12/18/2979/pdf?version=1600078131","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059068224","display_name":"Le Sun","orcid":"https://orcid.org/0000-0001-6465-8678"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Le Sun","raw_affiliation_strings":["Henan Key Laboratory of Food Safety Data Intelligence, Zhengzhou University of Light Industry, Zhengzhou 450002, China","Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, NUIST, Nanjing 210044, China","Jiangsu Engineering Center of Network Monitoring, NUIST, Nanjing 210044, China","School of Computer and Software, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China"],"raw_orcid":"https://orcid.org/0000-0001-6465-8678","affiliations":[{"raw_affiliation_string":"Henan Key Laboratory of Food Safety Data Intelligence, Zhengzhou University of Light Industry, Zhengzhou 450002, China","institution_ids":["https://openalex.org/I23171815"]},{"raw_affiliation_string":"Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, NUIST, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Jiangsu Engineering Center of Network Monitoring, NUIST, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"School of Computer and Software, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053709863","display_name":"Chengxun He","orcid":"https://orcid.org/0009-0007-0989-7511"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengxun He","raw_affiliation_strings":["School of Computer and Software, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Software, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100698166","display_name":"Yuhui Zheng","orcid":"https://orcid.org/0000-0002-4408-3800"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhui Zheng","raw_affiliation_strings":["Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, NUIST, Nanjing 210044, China","Jiangsu Engineering Center of Network Monitoring, NUIST, Nanjing 210044, China","School of Computer and Software, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China"],"raw_orcid":"https://orcid.org/0000-0002-4408-3800","affiliations":[{"raw_affiliation_string":"Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, NUIST, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"Jiangsu Engineering Center of Network Monitoring, NUIST, Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]},{"raw_affiliation_string":"School of Computer and Software, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062542061","display_name":"Songze Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210090357","display_name":"Nanjing Forest Police College","ror":"https://ror.org/00adax290","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210090357"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Songze Tang","raw_affiliation_strings":["Department of Criminal Science and Technology, Nanjing Forest Police College, Nanjing 210023, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Criminal Science and Technology, Nanjing Forest Police College, Nanjing 210023, China","institution_ids":["https://openalex.org/I4210090357"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059068224"],"corresponding_institution_ids":["https://openalex.org/I200845125","https://openalex.org/I23171815"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.7462,"has_fulltext":true,"cited_by_count":33,"citation_normalized_percentile":{"value":0.92124133,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"12","issue":"18","first_page":"2979","last_page":"2979"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11659","display_name":"Advanced Image Fusion Techniques","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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9991999864578247,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7857910394668579},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.6803170442581177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5973411202430725},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5915091633796692},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5810015201568604},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.45054304599761963},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.44329115748405457},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.43480342626571655},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.4208180904388428},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34539997577667236},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3281601071357727}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7857910394668579},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.6803170442581177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5973411202430725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5915091633796692},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5810015201568604},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.45054304599761963},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.44329115748405457},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.43480342626571655},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.4208180904388428},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34539997577667236},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3281601071357727},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs12182979","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12182979","pdf_url":"https://www.mdpi.com/2072-4292/12/18/2979/pdf?version=1600078131","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:73a623c0165e4e9892047d9253edf3d4","is_oa":true,"landing_page_url":"https://doaj.org/article/73a623c0165e4e9892047d9253edf3d4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 12, Iss 18, p 2979 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/12/18/2979/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs12182979","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":"Remote Sensing; Volume 12; Issue 18; Pages: 2979","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs12182979","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12182979","pdf_url":"https://www.mdpi.com/2072-4292/12/18/2979/pdf?version=1600078131","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"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":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.6200000047683716}],"awards":[{"id":"https://openalex.org/G2934570728","display_name":null,"funder_award_id":"BK20171074","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G6143281916","display_name":null,"funder_award_id":"61972206","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G70979341","display_name":null,"funder_award_id":"61672291","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7241120363","display_name":null,"funder_award_id":"61672293","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7699947468","display_name":null,"funder_award_id":"61971233","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8203692869","display_name":null,"funder_award_id":"61702269","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/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320327518","display_name":"Priority Academic Program Development of Jiangsu Higher Education Institutions","ror":null},{"id":"https://openalex.org/F4320327794","display_name":"Qinglan Project of Jiangsu Province of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3091030342.pdf","grobid_xml":"https://content.openalex.org/works/W3091030342.grobid-xml"},"referenced_works_count":73,"referenced_works":["https://openalex.org/W282757658","https://openalex.org/W1944540851","https://openalex.org/W1970714368","https://openalex.org/W1973207753","https://openalex.org/W1974028655","https://openalex.org/W1974438823","https://openalex.org/W1994040806","https://openalex.org/W2037461746","https://openalex.org/W2050699972","https://openalex.org/W2053514113","https://openalex.org/W2053842903","https://openalex.org/W2070424424","https://openalex.org/W2082600204","https://openalex.org/W2087263574","https://openalex.org/W2095906131","https://openalex.org/W2103559027","https://openalex.org/W2140702875","https://openalex.org/W2145962650","https://openalex.org/W2160484748","https://openalex.org/W2161073299","https://openalex.org/W2280622051","https://openalex.org/W2289756263","https://openalex.org/W2430546716","https://openalex.org/W2464748116","https://openalex.org/W2536599074","https://openalex.org/W2624915162","https://openalex.org/W2735711969","https://openalex.org/W2771296580","https://openalex.org/W2773415061","https://openalex.org/W2782578088","https://openalex.org/W2790034605","https://openalex.org/W2790346082","https://openalex.org/W2790512519","https://openalex.org/W2790528326","https://openalex.org/W2790888198","https://openalex.org/W2793237446","https://openalex.org/W2801521191","https://openalex.org/W2802292638","https://openalex.org/W2804809630","https://openalex.org/W2806155925","https://openalex.org/W2809801483","https://openalex.org/W2888270240","https://openalex.org/W2889192935","https://openalex.org/W2912506169","https://openalex.org/W2914046405","https://openalex.org/W2914162688","https://openalex.org/W2919868964","https://openalex.org/W2929472605","https://openalex.org/W2953843381","https://openalex.org/W2954868192","https://openalex.org/W2962702700","https://openalex.org/W2964179170","https://openalex.org/W2970923444","https://openalex.org/W2972301798","https://openalex.org/W2980054274","https://openalex.org/W2980079746","https://openalex.org/W2982007765","https://openalex.org/W2986829670","https://openalex.org/W2988699317","https://openalex.org/W2991209609","https://openalex.org/W2998245329","https://openalex.org/W3002674187","https://openalex.org/W3012136461","https://openalex.org/W3012548728","https://openalex.org/W3021538028","https://openalex.org/W3098435832","https://openalex.org/W4292363360","https://openalex.org/W6674723063","https://openalex.org/W6696154520","https://openalex.org/W6751036062","https://openalex.org/W6751221962","https://openalex.org/W6758742213","https://openalex.org/W6772614301"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2404757046","https://openalex.org/W2070598848","https://openalex.org/W2019190440","https://openalex.org/W3034864990","https://openalex.org/W3209466624"],"abstract_inverted_index":{"During":[0],"the":[1,15,49,57,68,91,96,99,138,166,179,194],"process":[2],"of":[3,17,24,51,56,60,71,75,94,98,120,172,198],"signal":[4],"sampling":[5],"and":[6,22,83,124,150,160,196],"digital":[7],"imaging,":[8],"hyperspectral":[9],"images":[10,62],"(HSI)":[11],"inevitably":[12],"suffer":[13],"from":[14],"contamination":[16],"mixed":[18],"noises.":[19],"The":[20,168],"fidelity":[21],"efficiency":[23,197],"subsequent":[25],"applications":[26],"are":[27,63,153,190],"considerably":[28],"reduced":[29],"along":[30],"with":[31],"this":[32],"degradation.":[33],"Recently,":[34],"as":[35],"a":[36,117,144],"formidable":[37],"implement":[38],"for":[39,134],"image":[40],"processing,":[41],"low-rank":[42,61,82,122,158],"regularization":[43],"has":[44],"been":[45],"widely":[46],"extended":[47],"to":[48,106,177,192],"restoration":[50],"HSI.":[52,72],"Meanwhile,":[53],"further":[54],"exploration":[55,97],"non-local":[58,84,125,161],"self-similarity":[59],"proven":[64],"useful":[65],"in":[66,102],"exploiting":[67],"spatial":[69,151],"redundancy":[70],"Better":[73],"preservation":[74],"spatial-spectral":[76],"features":[77],"is":[78,110,131,141,175],"achieved":[79],"under":[80],"both":[81,148],"regularizations.":[85],"However,":[86],"existing":[87],"methods":[88],"generally":[89],"regularize":[90],"original":[92,139],"space":[93],"HSI,":[95],"intrinsic":[100],"properties":[101],"subspace,":[103],"which":[104],"leads":[105],"better":[107],"denoising":[108],"performance,":[109],"relatively":[111],"rare.":[112],"To":[113],"address":[114],"these":[115],"challenges,":[116],"joint":[118],"method":[119,171],"subspace":[121],"learning":[123,159],"4-d":[126,162],"transform":[127,163],"filtering,":[128],"named":[129],"SLRL4D,":[130],"put":[132],"forward":[133],"HSI":[135,140],"restoration.":[136],"Technically,":[137],"projected":[142],"into":[143],"low-dimensional":[145],"subspace.":[146,167],"Then,":[147],"spectral":[149],"correlations":[152],"explored":[154],"simultaneously":[155],"by":[156],"imposing":[157],"filtering":[164],"on":[165,187],"alternating":[169],"direction":[170],"multipliers-based":[173],"algorithm":[174],"designed":[176],"solve":[178],"formulated":[180],"convex":[181],"signal-noise":[182],"isolation":[183],"problem.":[184],"Finally,":[185],"experiments":[186],"multiple":[188],"datasets":[189],"conducted":[191],"illustrate":[193],"accuracy":[195],"SLRL4D.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2020-10-08T00:00:00"}