{"id":"https://openalex.org/W4313472165","doi":"https://doi.org/10.3390/rs15010261","title":"Shallow-to-Deep Spatial\u2013Spectral Feature Enhancement for Hyperspectral Image Classification","display_name":"Shallow-to-Deep Spatial\u2013Spectral Feature Enhancement for Hyperspectral Image Classification","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4313472165","doi":"https://doi.org/10.3390/rs15010261"},"language":"en","primary_location":{"id":"doi:10.3390/rs15010261","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15010261","pdf_url":"https://www.mdpi.com/2072-4292/15/1/261/pdf?version=1672906158","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/2072-4292/15/1/261/pdf?version=1672906158","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000437884","display_name":"Lijian Zhou","orcid":"https://orcid.org/0000-0001-6975-1732"},"institutions":[{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijian Zhou","raw_affiliation_strings":["School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266525, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266525, China","institution_ids":["https://openalex.org/I44468530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020778225","display_name":"Xiaoyu Ma","orcid":"https://orcid.org/0000-0001-8144-0232"},"institutions":[{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Ma","raw_affiliation_strings":["School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266525, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266525, China","institution_ids":["https://openalex.org/I44468530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016241201","display_name":"Xiliang Wang","orcid":"https://orcid.org/0000-0001-7892-8018"},"institutions":[{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiliang Wang","raw_affiliation_strings":["School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266525, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266525, China","institution_ids":["https://openalex.org/I44468530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071160867","display_name":"Siyuan Hao","orcid":"https://orcid.org/0000-0001-8247-4207"},"institutions":[{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan Hao","raw_affiliation_strings":["School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266525, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266525, China","institution_ids":["https://openalex.org/I44468530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079586899","display_name":"Yuanxin Ye","orcid":"https://orcid.org/0000-0001-6843-6722"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanxin Ye","raw_affiliation_strings":["Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055467664","display_name":"Kun Zhao","orcid":"https://orcid.org/0000-0001-9949-4693"},"institutions":[{"id":"https://openalex.org/I44468530","display_name":"Qingdao University of Technology","ror":"https://ror.org/01qzc0f54","country_code":"CN","type":"education","lineage":["https://openalex.org/I44468530"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kun Zhao","raw_affiliation_strings":["School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266525, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266525, China","institution_ids":["https://openalex.org/I44468530"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5055467664"],"corresponding_institution_ids":["https://openalex.org/I44468530"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":3.6111,"has_fulltext":true,"cited_by_count":23,"citation_normalized_percentile":{"value":0.93565285,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"15","issue":"1","first_page":"261","last_page":"261"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":1.0,"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":1.0,"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":0.9951000213623047,"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":0.9811999797821045,"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":0.8730688095092773},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7137466073036194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7009338140487671},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6716758608818054},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6073197722434998},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.546697735786438},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.5199562311172485},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48250389099121094},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.46345704793930054},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43267592787742615},{"id":"https://openalex.org/keywords/spectral-bands","display_name":"Spectral bands","score":0.4316312074661255},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4268726110458374},{"id":"https://openalex.org/keywords/spectral-signature","display_name":"Spectral signature","score":0.4126184582710266},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.3822709321975708},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36568892002105713},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18098989129066467},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08166378736495972}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.8730688095092773},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7137466073036194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7009338140487671},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6716758608818054},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6073197722434998},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.546697735786438},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.5199562311172485},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48250389099121094},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.46345704793930054},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43267592787742615},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.4316312074661255},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4268726110458374},{"id":"https://openalex.org/C176641082","wikidata":"https://www.wikidata.org/wiki/Q2446767","display_name":"Spectral signature","level":2,"score":0.4126184582710266},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.3822709321975708},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36568892002105713},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18098989129066467},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08166378736495972},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs15010261","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15010261","pdf_url":"https://www.mdpi.com/2072-4292/15/1/261/pdf?version=1672906158","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:1e334575c71b4f93b84e4a8001547345","is_oa":true,"landing_page_url":"https://doaj.org/article/1e334575c71b4f93b84e4a8001547345","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 15, Iss 1, p 261 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/15/1/261/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs15010261","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 15; Issue 1; Pages: 261","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs15010261","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs15010261","pdf_url":"https://www.mdpi.com/2072-4292/15/1/261/pdf?version=1672906158","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":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"},{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5547335451","display_name":null,"funder_award_id":"ZR2016FQ14","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5942673562","display_name":null,"funder_award_id":"41921781","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7265291693","display_name":null,"funder_award_id":"62171247","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"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313472165.pdf"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W1966580635","https://openalex.org/W2004104348","https://openalex.org/W2087263574","https://openalex.org/W2103094532","https://openalex.org/W2104877815","https://openalex.org/W2113464037","https://openalex.org/W2136251662","https://openalex.org/W2162698522","https://openalex.org/W2166923144","https://openalex.org/W2194775991","https://openalex.org/W2540033855","https://openalex.org/W2548020065","https://openalex.org/W2752782242","https://openalex.org/W2764276316","https://openalex.org/W2808098982","https://openalex.org/W2894165434","https://openalex.org/W2914331134","https://openalex.org/W2962770389","https://openalex.org/W2963113244","https://openalex.org/W2971464184","https://openalex.org/W3091245084","https://openalex.org/W3098388691","https://openalex.org/W3105357426","https://openalex.org/W3127327694","https://openalex.org/W3128776197","https://openalex.org/W3184929850","https://openalex.org/W3214821343","https://openalex.org/W4206578920","https://openalex.org/W4220805125","https://openalex.org/W4223942761","https://openalex.org/W4229369763","https://openalex.org/W4285388434","https://openalex.org/W4289641562","https://openalex.org/W4289889690","https://openalex.org/W4309604067","https://openalex.org/W4312743284","https://openalex.org/W6677065643","https://openalex.org/W6739901393","https://openalex.org/W6797691975","https://openalex.org/W6806645916","https://openalex.org/W6839250610","https://openalex.org/W6840982341"],"related_works":["https://openalex.org/W2738168532","https://openalex.org/W4367471608","https://openalex.org/W2037328426","https://openalex.org/W2054439167","https://openalex.org/W2044594927","https://openalex.org/W2791078257","https://openalex.org/W2539574252","https://openalex.org/W4287750516","https://openalex.org/W2889956472","https://openalex.org/W2799746630"],"abstract_inverted_index":{"Since":[0],"Hyperspectral":[1],"Images":[2],"(HSIs)":[3],"contain":[4],"plenty":[5],"of":[6,17,29,38,62,132,139],"ground":[7,18,22,40],"object":[8,41],"information,":[9,141],"they":[10],"are":[11,24,91,176],"widely":[12],"used":[13,164],"in":[14],"fine-grain":[15],"classification":[16,196],"objects.":[19],"However,":[20],"some":[21],"objects":[23],"similar":[25],"and":[26,79,114,119,135,186],"the":[27,36,39,50,59,85,112,122,128,133,137,154,167,203],"number":[28,37],"spectral":[30,89,115,140],"bands":[31,86,120],"is":[32,45,82,108,150,163],"far":[33],"higher":[34],"than":[35],"categories.":[42],"Therefore,":[43],"it":[44],"hard":[46],"to":[47,110,126,152,165,210],"deeply":[48],"explore":[49],"spatial\u2013spectral":[51,60,156,169],"joint":[52,168],"features":[53,61,170],"with":[54,70,172],"greater":[55,173],"discrimination.":[56],"To":[57],"mine":[58],"HSIs,":[63],"a":[64,99,142,160],"Shallow-to-Deep":[65],"Feature":[66,104],"Enhancement":[67],"(SDFE)":[68],"model":[69],"three":[71],"modules":[72],"based":[73,147],"on":[74,148,179],"Convolutional":[75],"Neural":[76],"Networks":[77],"(CNNs)":[78],"Vision-Transformer":[80],"(ViT)":[81],"proposed.":[83],"Firstly,":[84],"containing":[87],"important":[88],"information":[90],"selected":[92],"using":[93,202],"Principal":[94],"Component":[95],"Analysis":[96],"(PCA).":[97],"Secondly,":[98],"two-layer":[100],"3D-CNN-based":[101],"Shallow":[102],"Spatial\u2013Spectral":[103],"Extraction":[105],"(SSSFE)":[106],"module":[107,146,162],"constructed":[109],"preserve":[111],"spatial":[113],"correlations":[116],"across":[117],"spaces":[118],"at":[121],"same":[123],"time.":[124],"Thirdly,":[125],"enhance":[127],"nonlinear":[129],"representation":[130],"ability":[131],"network":[134],"avoid":[136],"loss":[138],"channel":[143],"attention":[144],"residual":[145],"2D-CNN":[149],"designed":[151],"capture":[153],"deeper":[155],"complementary":[157],"information.":[158],"Finally,":[159],"ViT-based":[161],"extract":[166],"(SSFs)":[171],"robustness.":[174],"Experiments":[175],"carried":[177],"out":[178],"Indian":[180],"Pines":[181],"(IP),":[182],"Pavia":[183],"University":[184],"(PU)":[185],"Salinas":[187],"(SA)":[188],"datasets.":[189],"The":[190],"experimental":[191],"results":[192,197],"show":[193],"that":[194],"better":[195],"can":[198],"be":[199],"achieved":[200],"by":[201],"proposed":[204],"feature":[205],"enhancement":[206],"method":[207],"as":[208],"compared":[209],"other":[211],"methods.":[212]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":10}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}