{"id":"https://openalex.org/W3120077038","doi":"https://doi.org/10.1109/jbhi.2021.3050483","title":"Spatial-Spectral Density Peaks-Based Discriminant Analysis for Membranous Nephropathy Classification Using Microscopic Hyperspectral Images","display_name":"Spatial-Spectral Density Peaks-Based Discriminant Analysis for Membranous Nephropathy Classification Using Microscopic Hyperspectral Images","publication_year":2021,"publication_date":"2021-01-13","ids":{"openalex":"https://openalex.org/W3120077038","doi":"https://doi.org/10.1109/jbhi.2021.3050483","mag":"3120077038","pmid":"https://pubmed.ncbi.nlm.nih.gov/33434138"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2021.3050483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2021.3050483","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101697075","display_name":"Meng Lv","orcid":"https://orcid.org/0000-0002-2804-4342"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Meng Lv","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, and Beijing Key Laboratory of Fractional Signals and Systems, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, and Beijing Key Laboratory of Fractional Signals and Systems, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100317994","display_name":"Wei Li","orcid":"https://orcid.org/0000-0001-7015-7335"},"institutions":[{"id":"https://openalex.org/I2801051648","display_name":"China-Japan Friendship Hospital","ror":"https://ror.org/037cjxp13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801051648"]},{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Li","raw_affiliation_strings":["Department of Kidney Disease, China-Japan friendship hospital, Beijing, China","School of Information and Electronics, Beijing Institute of Technology, and Beijing Key Laboratory of Fractional Signals and Systems, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Kidney Disease, China-Japan friendship hospital, Beijing, China","institution_ids":["https://openalex.org/I2801051648"]},{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, and Beijing Key Laboratory of Fractional Signals and Systems, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067803447","display_name":"Ran Tao","orcid":"https://orcid.org/0000-0002-5243-7189"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ran Tao","raw_affiliation_strings":["School of Information and Electronics, Beijing Institute of Technology, and Beijing Key Laboratory of Fractional Signals and Systems, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, and Beijing Key Laboratory of Fractional Signals and Systems, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060602596","display_name":"Nigel H. Lovell","orcid":"https://orcid.org/0000-0003-1637-1079"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Nigel H. Lovell","raw_affiliation_strings":["Graduate School of Biomedical Engineering, University of New South Wales, Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Graduate School of Biomedical Engineering, University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100430164","display_name":"Yue Yang","orcid":"https://orcid.org/0000-0001-5530-9425"},"institutions":[{"id":"https://openalex.org/I2801051648","display_name":"China-Japan Friendship Hospital","ror":"https://ror.org/037cjxp13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801051648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Yang","raw_affiliation_strings":["Department of Kidney Disease, China-Japan friendship hospital, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Kidney Disease, China-Japan friendship hospital, Beijing, China","institution_ids":["https://openalex.org/I2801051648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000782077","display_name":"Tianqi Tu","orcid":"https://orcid.org/0009-0001-7106-6483"},"institutions":[{"id":"https://openalex.org/I2801051648","display_name":"China-Japan Friendship Hospital","ror":"https://ror.org/037cjxp13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801051648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianqi Tu","raw_affiliation_strings":["Department of Kidney Disease, China-Japan friendship hospital, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Kidney Disease, China-Japan friendship hospital, Beijing, China","institution_ids":["https://openalex.org/I2801051648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101890180","display_name":"Wenge Li","orcid":null},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I2801051648","display_name":"China-Japan Friendship Hospital","ror":"https://ror.org/037cjxp13","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801051648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenge Li","raw_affiliation_strings":["Department of Kidney Disease, China-Japan friendship hospital, Beijing, China","School of Information and Electronics, Beijing Institute of Technology, and Beijing Key Laboratory of Fractional Signals and Systems, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Kidney Disease, China-Japan friendship hospital, Beijing, China","institution_ids":["https://openalex.org/I2801051648"]},{"raw_affiliation_string":"School of Information and Electronics, Beijing Institute of Technology, and Beijing Key Laboratory of Fractional Signals and Systems, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101697075"],"corresponding_institution_ids":["https://openalex.org/I125839683"],"apc_list":null,"apc_paid":null,"fwci":3.8536,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.93102203,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"25","issue":"8","first_page":"3041","last_page":"3051"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10308","display_name":"Systemic Lupus Erythematosus Research","score":0.9768999814987183,"subfield":{"id":"https://openalex.org/subfields/2745","display_name":"Rheumatology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9380999803543091,"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":0.7421708703041077},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7362093329429626},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7251575589179993},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6085391044616699},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5624611973762512},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5535309910774231},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.5494862198829651},{"id":"https://openalex.org/keywords/isomap","display_name":"Isomap","score":0.47274506092071533},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.43087896704673767},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.4141790270805359},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3593250811100006},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.31585609912872314},{"id":"https://openalex.org/keywords/nonlinear-dimensionality-reduction","display_name":"Nonlinear dimensionality reduction","score":0.11390170454978943}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7421708703041077},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7362093329429626},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7251575589179993},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6085391044616699},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5624611973762512},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5535309910774231},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.5494862198829651},{"id":"https://openalex.org/C2778626561","wikidata":"https://www.wikidata.org/wiki/Q6086067","display_name":"Isomap","level":4,"score":0.47274506092071533},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.43087896704673767},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.4141790270805359},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3593250811100006},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.31585609912872314},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.11390170454978943}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008853","descriptor_name":"Microscopy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015433","descriptor_name":"Glomerulonephritis, Membranous","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D015433","descriptor_name":"Glomerulonephritis, Membranous","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D015433","descriptor_name":"Glomerulonephritis, Membranous","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D016002","descriptor_name":"Discriminant Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016002","descriptor_name":"Discriminant Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016002","descriptor_name":"Discriminant Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2021.3050483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jbhi.2021.3050483","pdf_url":null,"source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"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 Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:33434138","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33434138","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G7394983629","display_name":null,"funder_award_id":"61922013","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":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1668085700","https://openalex.org/W1799522345","https://openalex.org/W1964505487","https://openalex.org/W1968664871","https://openalex.org/W1988386267","https://openalex.org/W2030104143","https://openalex.org/W2031132062","https://openalex.org/W2038507433","https://openalex.org/W2042752493","https://openalex.org/W2049701347","https://openalex.org/W2083125248","https://openalex.org/W2117533352","https://openalex.org/W2137009054","https://openalex.org/W2151599207","https://openalex.org/W2165573608","https://openalex.org/W2165835468","https://openalex.org/W2168444508","https://openalex.org/W2405467493","https://openalex.org/W2518815253","https://openalex.org/W2591087440","https://openalex.org/W2592141703","https://openalex.org/W2608819578","https://openalex.org/W2682360066","https://openalex.org/W2784437755","https://openalex.org/W2789643644","https://openalex.org/W2794174632","https://openalex.org/W2897194080","https://openalex.org/W2907906283","https://openalex.org/W2914429466","https://openalex.org/W2972435376","https://openalex.org/W2986517833","https://openalex.org/W2989601473","https://openalex.org/W3148981562","https://openalex.org/W4255809177"],"related_works":["https://openalex.org/W1489327846","https://openalex.org/W2375574759","https://openalex.org/W3126767766","https://openalex.org/W2139206098","https://openalex.org/W2037225398","https://openalex.org/W2132734978","https://openalex.org/W4287375746","https://openalex.org/W3124275785","https://openalex.org/W2068726834","https://openalex.org/W2040096877"],"abstract_inverted_index":{"The":[0],"traditional":[1],"differential":[2],"diagnosis":[3,98,222],"of":[4,24,40,59,66,99,111,116,132,185,213,223],"membranous":[5],"nephropathy":[6],"(MN)":[7],"mainly":[8],"relies":[9],"on":[10],"clinical":[11,218],"symptoms,":[12],"serological":[13],"examination":[14],"and":[15,32,72,77,121,198],"optical":[16,29,193],"renal":[17],"biopsy.":[18],"However,":[19],"there":[20],"is":[21,34,94,170],"a":[22,83,102,109,165,211],"probability":[23],"false":[25],"positives":[26],"in":[27,118,141,175],"the":[28,38,63,130,142,149,156,161,176,207],"inspection":[30],"results,":[31],"it":[33],"unable":[35],"to":[36,47,74,172,190],"detect":[37],"change":[39],"biochemical":[41],"components,":[42],"which":[43,215],"poses":[44],"an":[45],"obstacle":[46],"pathogenic":[48],"mechanism":[49],"analysis.":[50],"Microscopic":[51],"hyperspectral":[52,68,104],"imaging":[53],"can":[54],"reveal":[55],"detailed":[56],"component":[57],"information":[58,140],"immune":[60,143],"complexes,":[61],"but":[62],"high":[64],"dimensionality":[65],"microscopic":[67,103],"image":[69,75],"brings":[70],"difficulties":[71],"challenges":[73],"processing":[76],"disease":[78],"diagnosis.":[79],"In":[80,129],"this":[81],"paper,":[82],"novel":[84],"classification":[85],"framework,":[86],"including":[87,195],"spatial-spectral":[88,150],"density":[89,126],"peaks-based":[90],"discriminant":[91],"analysis":[92],"(SSDP),":[93],"proposed":[95,208],"for":[96,220],"intelligent":[97],"MN":[100,162,186,197],"using":[101],"pathological":[105],"dataset.":[106],"SSDP":[107,209],"constructs":[108],"set":[110],"graphs":[112],"describing":[113],"intrinsic":[114],"structure":[115],"MHSI":[117],"both":[119],"spatial":[120],"spectral":[122,157],"domains":[123],"by":[124,147],"employing":[125],"peak":[127],"clustering.":[128],"process":[131],"graph":[133],"embedding,":[134],"low-dimensional":[135,177],"features":[136],"with":[137,192],"important":[138],"diagnostic":[139],"complex":[144],"are":[145,188],"obtained":[146],"compacting":[148],"local":[151],"intra-class":[152],"pixels":[153,174],"while":[154],"separating":[155],"inter-class":[158],"pixels.":[159],"For":[160],"recognition":[163],"task,":[164],"support":[166],"vector":[167],"machine":[168],"(SVM)":[169],"used":[171],"classify":[173],"space.":[178],"Experimental":[179,203],"validation":[180],"data":[181],"employ":[182],"two":[183],"types":[184],"that":[187,206],"difficult":[189],"distinguish":[191],"microscope,":[194],"primary":[196],"hepatitis":[199],"B":[200],"virus-associated":[201],"MN.":[202,224],"results":[204],"show":[205],"achieves":[210],"sensitivity":[212],"99.36%,":[214],"has":[216],"potential":[217],"value":[219],"automatic":[221]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
