{"id":"https://openalex.org/W4308865886","doi":"https://doi.org/10.3390/rs14225690","title":"AICCA: AI-Driven Cloud Classification Atlas","display_name":"AICCA: AI-Driven Cloud Classification Atlas","publication_year":2022,"publication_date":"2022-11-10","ids":{"openalex":"https://openalex.org/W4308865886","doi":"https://doi.org/10.3390/rs14225690"},"language":"en","primary_location":{"id":"doi:10.3390/rs14225690","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14225690","pdf_url":"https://www.mdpi.com/2072-4292/14/22/5690/pdf?version=1668162022","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/2072-4292/14/22/5690/pdf?version=1668162022","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013330641","display_name":"Takuya Kurihana","orcid":"https://orcid.org/0000-0001-5669-8565"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Takuya Kurihana","raw_affiliation_strings":["Department of Computer Science, University of Chicago, Chicago, IL 60637, USA","The Center for Robust Decision-Making on Climate and Energy Policy, Chicago, IL 60637, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Chicago, Chicago, IL 60637, USA","institution_ids":["https://openalex.org/I40347166"]},{"raw_affiliation_string":"The Center for Robust Decision-Making on Climate and Energy Policy, Chicago, IL 60637, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082670005","display_name":"E. J. Moyer","orcid":"https://orcid.org/0000-0003-1829-5196"},"institutions":[{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elisabeth J. Moyer","raw_affiliation_strings":["Department of the Geophysical Sciences, University of Chicago, Chicago, IL 60637, USA","The Center for Robust Decision-Making on Climate and Energy Policy, Chicago, IL 60637, USA"],"affiliations":[{"raw_affiliation_string":"Department of the Geophysical Sciences, University of Chicago, Chicago, IL 60637, USA","institution_ids":["https://openalex.org/I40347166"]},{"raw_affiliation_string":"The Center for Robust Decision-Making on Climate and Energy Policy, Chicago, IL 60637, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032231503","display_name":"Ian Foster","orcid":"https://orcid.org/0000-0003-2129-5269"},"institutions":[{"id":"https://openalex.org/I1282105669","display_name":"Argonne National Laboratory","ror":"https://ror.org/05gvnxz63","country_code":"US","type":"facility","lineage":["https://openalex.org/I1282105669","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I40347166"]},{"id":"https://openalex.org/I40347166","display_name":"University of Chicago","ror":"https://ror.org/024mw5h28","country_code":"US","type":"education","lineage":["https://openalex.org/I40347166"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ian T. Foster","raw_affiliation_strings":["Data Science and Learning Division, Argonne National Laboratory, Lemont, IL 60439, USA","Department of Computer Science, University of Chicago, Chicago, IL 60637, USA"],"affiliations":[{"raw_affiliation_string":"Data Science and Learning Division, Argonne National Laboratory, Lemont, IL 60439, USA","institution_ids":["https://openalex.org/I1282105669"]},{"raw_affiliation_string":"Department of Computer Science, University of Chicago, Chicago, IL 60637, USA","institution_ids":["https://openalex.org/I40347166"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032231503"],"corresponding_institution_ids":["https://openalex.org/I1282105669","https://openalex.org/I40347166"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.3603,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.79784221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"14","issue":"22","first_page":"5690","last_page":"5690"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10347","display_name":"Atmospheric aerosols and clouds","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10347","display_name":"Atmospheric aerosols and clouds","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9919999837875366,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.7656784057617188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6068611741065979},{"id":"https://openalex.org/keywords/multispectral-image","display_name":"Multispectral image","score":0.6002718806266785},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.5219337940216064},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5183928608894348},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.4575691521167755},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4400932490825653},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4067683219909668},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.25486868619918823},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15568450093269348}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7656784057617188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6068611741065979},{"id":"https://openalex.org/C173163844","wikidata":"https://www.wikidata.org/wiki/Q1761440","display_name":"Multispectral image","level":2,"score":0.6002718806266785},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.5219337940216064},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5183928608894348},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.4575691521167755},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4400932490825653},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4067683219909668},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25486868619918823},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15568450093269348},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"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":6,"locations":[{"id":"doi:10.3390/rs14225690","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14225690","pdf_url":"https://www.mdpi.com/2072-4292/14/22/5690/pdf?version=1668162022","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:uchicago.tind.io:5288","is_oa":true,"landing_page_url":"http://knowledge.uchicago.edu/record/5288","pdf_url":null,"source":{"id":"https://openalex.org/S4306402460","display_name":"Knowledge@UChicago (University of Chicago)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I40347166","host_organization_name":"University of Chicago","host_organization_lineage":["https://openalex.org/I40347166"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://knowledge.uchicago.edu/record/5288","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:f04b07f41acc4149a3184cf31e60ed17","is_oa":true,"landing_page_url":"https://doaj.org/article/f04b07f41acc4149a3184cf31e60ed17","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 14, Iss 22, p 5690 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/22/5690/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14225690","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 14; Issue 22; Pages: 5690","raw_type":"Text"},{"id":"pmh:oai:osti.gov:1897779","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/1897779","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},{"id":"pmh:oai:osti.gov:2324777","is_oa":true,"landing_page_url":"https://www.osti.gov/biblio/2324777","pdf_url":null,"source":{"id":"https://openalex.org/S4306402487","display_name":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139351228","host_organization_name":"Office of Scientific and Technical Information","host_organization_lineage":["https://openalex.org/I139351228"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.3390/rs14225690","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14225690","pdf_url":"https://www.mdpi.com/2072-4292/14/22/5690/pdf?version=1668162022","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":0.5400000214576721,"display_name":"Climate action","id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G6795059108","display_name":null,"funder_award_id":"SES-1463644","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G7351994996","display_name":null,"funder_award_id":"DE-AC02-06CH11357","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8391056365","display_name":null,"funder_award_id":"SES-1463644","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4308865886.pdf","grobid_xml":"https://content.openalex.org/works/W4308865886.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W2966661","https://openalex.org/W1523794535","https://openalex.org/W1549024380","https://openalex.org/W1665214252","https://openalex.org/W1836465849","https://openalex.org/W1902027874","https://openalex.org/W1987822482","https://openalex.org/W1987971958","https://openalex.org/W1996434761","https://openalex.org/W1998871699","https://openalex.org/W2016381774","https://openalex.org/W2028753645","https://openalex.org/W2045470555","https://openalex.org/W2071949631","https://openalex.org/W2082684467","https://openalex.org/W2091215853","https://openalex.org/W2102409316","https://openalex.org/W2111162011","https://openalex.org/W2128088741","https://openalex.org/W2156366154","https://openalex.org/W2244501064","https://openalex.org/W2341771188","https://openalex.org/W2476059830","https://openalex.org/W2789615395","https://openalex.org/W2883078476","https://openalex.org/W2887626628","https://openalex.org/W2917099771","https://openalex.org/W2943761765","https://openalex.org/W2949130634","https://openalex.org/W2963890072","https://openalex.org/W2971890617","https://openalex.org/W2991909169","https://openalex.org/W3014966118","https://openalex.org/W3016593016","https://openalex.org/W3021718926","https://openalex.org/W3033937909","https://openalex.org/W3103996135","https://openalex.org/W3104388511","https://openalex.org/W3183677756","https://openalex.org/W3184002667","https://openalex.org/W3194186453","https://openalex.org/W3202164597","https://openalex.org/W4211083409","https://openalex.org/W4235169531","https://openalex.org/W4300980560","https://openalex.org/W6638667902","https://openalex.org/W6676974665","https://openalex.org/W6769837987","https://openalex.org/W6791000576"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W4386815338","https://openalex.org/W2145836866"],"abstract_inverted_index":{"Clouds":[0],"play":[1],"an":[2,77],"important":[3],"role":[4],"in":[5,19,27,86,276,318],"the":[6,16,55,152,166,264,277,281,313],"Earth\u2019s":[7],"energy":[8],"budget,":[9],"and":[10,33,95,126,175,231,234,251,254,286,302,341],"their":[11],"behavior":[12],"is":[13],"one":[14],"of":[15,35,57,162,209,215,222,228,242,259,284,325,327,337],"largest":[17],"uncertainties":[18],"future":[20],"climate":[21,344],"projections.":[22],"Satellite":[23,267],"observations":[24,60],"should":[25],"help":[26],"understanding":[28],"cloud":[29,37,59,69,101,108,150,154,193,232,260,300,328,333],"responses,":[30],"but":[31,305],"decades":[32],"petabytes":[34],"multispectral":[36,113],"imagery":[38,114],"have":[39],"to":[40,99,145,206,339,349],"date":[41],"received":[42],"only":[43,111],"limited":[44],"use.":[45],"This":[46],"study":[47],"describes":[48],"a":[49,65,74,92,147,195,199,237,240,256,319],"new":[50,149],"analysis":[51],"approach":[52,144],"that":[53,103,203,291],"reduces":[54],"dimensionality":[56],"satellite":[58,223],"by":[61,239,346],"grouping":[62],"them":[63],"via":[64,198],"novel":[66],"automated,":[67],"unsupervised":[68],"classification":[70,155],"technique":[71,90],"based":[72,122],"on":[73,123,131,172,335],"convolutional":[75],"autoencoder,":[76],"artificial":[78],"intelligence":[79],"(AI)":[80],"method":[81],"good":[82],"at":[83],"identifying":[84],"patterns":[85,326],"spatial":[87,127],"data.":[88,351],"Our":[89],"combines":[91],"rotation-invariant":[93],"autoencoder":[94],"hierarchical":[96],"agglomerative":[97],"clustering":[98],"generate":[100,146],"clusters":[102,159],"capture":[104,255],"meaningful":[105,249],"distinctions":[106,253],"among":[107],"textures,":[109],"using":[110],"raw":[112],"as":[115],"input.":[116],"Cloud":[117,268],"classes":[118,247,301],"are":[119],"therefore":[120],"defined":[121],"spectral":[124],"properties":[125],"textures":[128,275],"without":[129],"reliance":[130],"location,":[132],"time/season,":[133],"derived":[134],"physical":[135,252],"properties,":[136,236],"or":[137],"pre-designated":[138],"class":[139,229],"definitions.":[140],"We":[141,289],"use":[142,205],"this":[143],"unique":[148,299],"dataset,":[151],"AI-driven":[153],"atlas":[156],"(AICCA),":[157],"which":[158],"22":[160],"years":[161],"ocean":[163],"images":[164,224,317],"from":[165,315],"Moderate":[167],"Resolution":[168],"Imaging":[169],"Spectroradiometer":[170],"(MODIS)":[171],"NASA\u2019s":[173],"Aqua":[174],"Terra":[176],"instruments\u2014198":[177],"million":[178],"patches,":[179],"each":[180],"roughly":[181],"100":[182,185],"km":[183,186],"\u00d7":[184,188],"(128":[187],"128":[189],"pixels)\u2014into":[190],"42":[191,245],"AI-generated":[192],"classes,":[194],"number":[196],"determined":[197],"newly-developed":[200],"stability":[201],"protocol":[202],"we":[204],"maximize":[207],"richness":[208],"information":[210,307,314],"while":[211],"ensuring":[212],"stable":[213],"groupings":[214],"patches.":[216],"AICCA":[217,246,311],"thereby":[218],"translates":[219],"801":[220],"TB":[221],"into":[225,332],"54.2":[226],"GB":[227],"labels":[230],"top":[233],"optical":[235],"reduction":[238],"factor":[241],"15,000.":[243],"The":[244],"produce":[248],"spatio-temporal":[250],"greater":[257],"variety":[258],"types":[261],"than":[262],"do":[263],"nine":[265],"International":[266],"Climatology":[269],"Project":[270],"(ISCCP)":[271],"categories\u2014for":[272],"example,":[273],"multiple":[274],"stratocumulus":[278],"decks":[279],"along":[280],"West":[282],"coasts":[283],"North":[285],"South":[287],"America.":[288],"conclude":[290],"our":[292],"methodology":[293],"has":[294],"explanatory":[295],"power,":[296],"capturing":[297],"regionally":[298],"providing":[303],"rich":[304],"tractable":[306],"for":[308],"global":[309],"analysis.":[310],"delivers":[312],"multi-spectral":[316],"compact":[320],"form,":[321],"enables":[322],"data-driven":[323],"diagnosis":[324],"organization,":[329],"provides":[330],"insight":[331],"evolution":[334],"timescales":[336],"hours":[338],"decades,":[340],"helps":[342],"democratize":[343],"research":[345],"facilitating":[347],"access":[348],"core":[350]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":6}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}