{"id":"https://openalex.org/W4312701355","doi":"https://doi.org/10.1109/tgrs.2022.3223508","title":"Simplified Nonlocal Network Based on Adaptive Projection Attention Method for Hyperspectral Image Classification","display_name":"Simplified Nonlocal Network Based on Adaptive Projection Attention Method for Hyperspectral Image Classification","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4312701355","doi":"https://doi.org/10.1109/tgrs.2022.3223508"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2022.3223508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3223508","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","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/A5054791684","display_name":"Ronghua Shang","orcid":"https://orcid.org/0000-0001-9124-696X"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ronghua Shang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shaanxi Province, China"],"raw_orcid":"https://orcid.org/0000-0001-9124-696X","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shaanxi Province, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013684890","display_name":"Wenjie Li","orcid":"https://orcid.org/0000-0002-0411-4991"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjie Li","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shaanxi Province, China"],"raw_orcid":"https://orcid.org/0000-0002-0411-4991","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shaanxi Province, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101735891","display_name":"Weitong Zhang","orcid":"https://orcid.org/0000-0003-1625-2870"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weitong Zhang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shaanxi Province, China"],"raw_orcid":"https://orcid.org/0000-0003-1625-2870","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shaanxi Province, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045546082","display_name":"Jie Feng","orcid":"https://orcid.org/0000-0002-8032-7542"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Feng","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shaanxi Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shaanxi Province, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100356496","display_name":"Yangyang Li","orcid":"https://orcid.org/0000-0002-1328-8889"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangyang Li","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shaanxi Province, China"],"raw_orcid":"https://orcid.org/0000-0002-1328-8889","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shaanxi Province, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":"https://orcid.org/0000-0003-3354-9617"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Jiao","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shaanxi Province, China"],"raw_orcid":"https://orcid.org/0000-0003-3354-9617","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]},{"raw_affiliation_string":"School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xidian University, Xi'an, Shaanxi Province, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":0.7682,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74821952,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"60","issue":null,"first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9872000217437744,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9695000052452087,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7549248933792114},{"id":"https://openalex.org/keywords/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7199093103408813},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.6516345739364624},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6274513006210327},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5927008986473083},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5900409817695618},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5841231346130371},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.555904746055603},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.4338566064834595},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.42277342081069946},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41360968351364136},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3956054151058197},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28144535422325134},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15513107180595398}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7549248933792114},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7199093103408813},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.6516345739364624},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6274513006210327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5927008986473083},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5900409817695618},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5841231346130371},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.555904746055603},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.4338566064834595},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.42277342081069946},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41360968351364136},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3956054151058197},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28144535422325134},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15513107180595398},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2022.3223508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2022.3223508","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"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 Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1366720558","display_name":null,"funder_award_id":"2022JC-45","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"},{"id":"https://openalex.org/G2700949206","display_name":null,"funder_award_id":"62176200","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3559318170","display_name":null,"funder_award_id":"2021A1515110686","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G4919765520","display_name":null,"funder_award_id":"2022JQ-616","funder_id":"https://openalex.org/F4320336567","funder_display_name":"Natural Science Basic Research Program of Shaanxi Province"},{"id":"https://openalex.org/G8438634340","display_name":"\u57fa\u4e8e\u6df1\u5ea6\u5bf9\u6297\u7f51\u7edc\u548c\u5f3a\u5316\u5b66\u4e60\u7684\u9065\u611f\u89c6\u9891\u591a\u76ee\u6807\u68c0\u6d4b\u4e0e\u8ddf\u8e2a\u7814\u7a76","funder_award_id":"61871306","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/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null},{"id":"https://openalex.org/F4320336567","display_name":"Natural Science Basic Research Program of Shaanxi Province","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1521436688","https://openalex.org/W2002849025","https://openalex.org/W2004104348","https://openalex.org/W2059497048","https://openalex.org/W2096553553","https://openalex.org/W2097073572","https://openalex.org/W2103094532","https://openalex.org/W2114819256","https://openalex.org/W2127229869","https://openalex.org/W2131725398","https://openalex.org/W2136251662","https://openalex.org/W2144966944","https://openalex.org/W2158108683","https://openalex.org/W2158400785","https://openalex.org/W2166923144","https://openalex.org/W2194775991","https://openalex.org/W2500751094","https://openalex.org/W2572303978","https://openalex.org/W2614256707","https://openalex.org/W2614326984","https://openalex.org/W2737996023","https://openalex.org/W2764276316","https://openalex.org/W2767340384","https://openalex.org/W2768309288","https://openalex.org/W2789643644","https://openalex.org/W2791006446","https://openalex.org/W2805177060","https://openalex.org/W2888119354","https://openalex.org/W2907100627","https://openalex.org/W2921084751","https://openalex.org/W2941141441","https://openalex.org/W2962770389","https://openalex.org/W2963091558","https://openalex.org/W2963420686","https://openalex.org/W2963881378","https://openalex.org/W2982220924","https://openalex.org/W2988266462","https://openalex.org/W2999446243","https://openalex.org/W3000978536","https://openalex.org/W3003326148","https://openalex.org/W3035042772","https://openalex.org/W3046476394","https://openalex.org/W3047443805","https://openalex.org/W3066454894","https://openalex.org/W3098388691","https://openalex.org/W3103695279","https://openalex.org/W3103753223","https://openalex.org/W3114720220","https://openalex.org/W3123265576","https://openalex.org/W3129293716","https://openalex.org/W4225575963","https://openalex.org/W4240485910"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2953234277","https://openalex.org/W2070598848","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2626256601","https://openalex.org/W2060875994","https://openalex.org/W2027399350","https://openalex.org/W2044184146"],"abstract_inverted_index":{"Nonlocal":[0],"convolutional":[1],"neural":[2,34],"networks":[3,18],"have":[4],"difficulties":[5],"in":[6,12,46,140],"dealing":[7],"with":[8,128,183],"the":[9,17,41,52,63,80,84,93,104,123,129,136,141,158,164,171,198,201],"imbalanced":[10,137],"samples":[11],"hyperspectral":[13,37,180],"images":[14],"effectively,":[15],"so":[16],"cannot":[19],"achieve":[20],"ideal":[21],"experiment":[22],"results.":[23],"Therefore,":[24],"this":[25,167],"paper":[26],"proposes":[27],"an":[28],"adaptive":[29],"projection":[30],"attention-based":[31],"simplified":[32,58,68,145],"nonlocal":[33,59,69,146],"network":[35,60,70],"for":[36],"image":[38],"classification.":[39],"Firstly,":[40],"local":[42],"information":[43,53,73,87,155],"is":[44,54,88,148],"calculated":[45],"horizontal":[47],"and":[48,75,96,116,153,160,189,192],"vertical":[49],"directions.":[50],"Then":[51,122,143],"passed":[55],"to":[56,61,92,150,156],"a":[57,144],"learn":[62],"global":[64,85,130],"semantic":[65,86,131],"information.":[66],"The":[67],"can":[71,134],"reduce":[72],"redundancy":[74],"improve":[76,157],"classification":[77,161],"accuracy":[78],"at":[79],"same":[81],"time.":[82],"Secondly,":[83],"adaptively":[89],"projected":[90],"according":[91],"spatial":[94],"features":[95,125],"compressed":[97],"using":[98,118],"multi-scale":[99,119],"pooling":[100,120],"layers.":[101,121],"After":[102],"that,":[103],"pooled":[105],"results":[106],"are":[107,126,174,195],"reassigned":[108],"channel":[109],"weights":[110],"through":[111],"two":[112],"fully":[113],"connected":[114],"layers":[115],"extended":[117,124],"concatenated":[127],"information,":[132],"which":[133],"alleviate":[135],"sample":[138],"existing":[139],"dataset.":[142],"approach":[147],"used":[149,179],"fuse":[151],"shallow":[152],"deep":[154],"robustness":[159],"performance":[162],"of":[163,170,185,200],"network.":[165],"In":[166],"paper,":[168],"experiments":[169],"proposed":[172,202],"method":[173],"conducted":[175],"on":[176],"three":[177],"widely":[178],"datasets":[181],"compared":[182],"those":[184],"seven":[186],"state-of-the-art":[187],"algorithms,":[188],"satisfactory":[190],"overall":[191],"average":[193],"accuracies":[194],"achieved,":[196],"demonstrating":[197],"effectiveness":[199],"algorithm.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}