{"id":"https://openalex.org/W3084316649","doi":"https://doi.org/10.3390/rs12182888","title":"A Comparison of Three Temporal Smoothing Algorithms to Improve Land Cover Classification: A Case Study from NEPAL","display_name":"A Comparison of Three Temporal Smoothing Algorithms to Improve Land Cover Classification: A Case Study from NEPAL","publication_year":2020,"publication_date":"2020-09-06","ids":{"openalex":"https://openalex.org/W3084316649","doi":"https://doi.org/10.3390/rs12182888","mag":"3084316649"},"language":"en","primary_location":{"id":"doi:10.3390/rs12182888","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12182888","pdf_url":"https://www.mdpi.com/2072-4292/12/18/2888/pdf?version=1599392800","source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2072-4292/12/18/2888/pdf?version=1599392800","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039462107","display_name":"Nishanta Khanal","orcid":"https://orcid.org/0000-0002-1381-6661"},"institutions":[{"id":"https://openalex.org/I110210549","display_name":"International Centre for Integrated Mountain Development","ror":"https://ror.org/024brep87","country_code":"NP","type":"nonprofit","lineage":["https://openalex.org/I110210549"]}],"countries":["NP"],"is_corresponding":true,"raw_author_name":"Nishanta Khanal","raw_affiliation_strings":["International Centre for Integrated Mountain Development, Kathmandu GPO Box 3226, Nepal","Spatial Informatics Group, LLC, 2529 Yolanda Ct., Pleasanton, CA 94566, USA"],"raw_orcid":"https://orcid.org/0000-0002-1381-6661","affiliations":[{"raw_affiliation_string":"International Centre for Integrated Mountain Development, Kathmandu GPO Box 3226, Nepal","institution_ids":["https://openalex.org/I110210549"]},{"raw_affiliation_string":"Spatial Informatics Group, LLC, 2529 Yolanda Ct., Pleasanton, CA 94566, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065467106","display_name":"Mir A. Matin","orcid":"https://orcid.org/0000-0003-1596-6855"},"institutions":[{"id":"https://openalex.org/I110210549","display_name":"International Centre for Integrated Mountain Development","ror":"https://ror.org/024brep87","country_code":"NP","type":"nonprofit","lineage":["https://openalex.org/I110210549"]}],"countries":["NP"],"is_corresponding":false,"raw_author_name":"Mir Abdul Matin","raw_affiliation_strings":["International Centre for Integrated Mountain Development, Kathmandu GPO Box 3226, Nepal"],"raw_orcid":"https://orcid.org/0000-0003-1596-6855","affiliations":[{"raw_affiliation_string":"International Centre for Integrated Mountain Development, Kathmandu GPO Box 3226, Nepal","institution_ids":["https://openalex.org/I110210549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022252583","display_name":"Kabir Uddin","orcid":"https://orcid.org/0000-0003-2711-5791"},"institutions":[{"id":"https://openalex.org/I110210549","display_name":"International Centre for Integrated Mountain Development","ror":"https://ror.org/024brep87","country_code":"NP","type":"nonprofit","lineage":["https://openalex.org/I110210549"]}],"countries":["NP"],"is_corresponding":false,"raw_author_name":"Kabir Uddin","raw_affiliation_strings":["International Centre for Integrated Mountain Development, Kathmandu GPO Box 3226, Nepal"],"raw_orcid":"https://orcid.org/0000-0003-2711-5791","affiliations":[{"raw_affiliation_string":"International Centre for Integrated Mountain Development, Kathmandu GPO Box 3226, Nepal","institution_ids":["https://openalex.org/I110210549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067151315","display_name":"Ate Poortinga","orcid":"https://orcid.org/0000-0001-9647-2317"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ate Poortinga","raw_affiliation_strings":["SERVIR-Mekong, SM Tower, 24th Tower, 979/69 Paholyothin Road, Samsen Nai, Phayathai, Bangkok 10400, Thailand","Spatial Informatics Group, LLC, 2529 Yolanda Ct., Pleasanton, CA 94566, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SERVIR-Mekong, SM Tower, 24th Tower, 979/69 Paholyothin Road, Samsen Nai, Phayathai, Bangkok 10400, Thailand","institution_ids":[]},{"raw_affiliation_string":"Spatial Informatics Group, LLC, 2529 Yolanda Ct., Pleasanton, CA 94566, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004072359","display_name":"Farrukh Chishtie","orcid":"https://orcid.org/0000-0002-6392-6084"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Farrukh Chishtie","raw_affiliation_strings":["SERVIR-Mekong, SM Tower, 24th Tower, 979/69 Paholyothin Road, Samsen Nai, Phayathai, Bangkok 10400, Thailand","Spatial Informatics Group, LLC, 2529 Yolanda Ct., Pleasanton, CA 94566, USA"],"raw_orcid":"https://orcid.org/0000-0002-6392-6084","affiliations":[{"raw_affiliation_string":"SERVIR-Mekong, SM Tower, 24th Tower, 979/69 Paholyothin Road, Samsen Nai, Phayathai, Bangkok 10400, Thailand","institution_ids":[]},{"raw_affiliation_string":"Spatial Informatics Group, LLC, 2529 Yolanda Ct., Pleasanton, CA 94566, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024812064","display_name":"Karis Tenneson","orcid":"https://orcid.org/0000-0001-5842-0663"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karis Tenneson","raw_affiliation_strings":["SERVIR-Mekong, SM Tower, 24th Tower, 979/69 Paholyothin Road, Samsen Nai, Phayathai, Bangkok 10400, Thailand","Spatial Informatics Group, LLC, 2529 Yolanda Ct., Pleasanton, CA 94566, USA"],"raw_orcid":"https://orcid.org/0000-0001-5842-0663","affiliations":[{"raw_affiliation_string":"SERVIR-Mekong, SM Tower, 24th Tower, 979/69 Paholyothin Road, Samsen Nai, Phayathai, Bangkok 10400, Thailand","institution_ids":[]},{"raw_affiliation_string":"Spatial Informatics Group, LLC, 2529 Yolanda Ct., Pleasanton, CA 94566, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057552642","display_name":"David Saah","orcid":"https://orcid.org/0000-0001-9999-1219"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"David Saah","raw_affiliation_strings":["SERVIR-Mekong, SM Tower, 24th Tower, 979/69 Paholyothin Road, Samsen Nai, Phayathai, Bangkok 10400, Thailand","Spatial Informatics Group, LLC, 2529 Yolanda Ct., Pleasanton, CA 94566, USA"],"raw_orcid":"https://orcid.org/0000-0001-9999-1219","affiliations":[{"raw_affiliation_string":"SERVIR-Mekong, SM Tower, 24th Tower, 979/69 Paholyothin Road, Samsen Nai, Phayathai, Bangkok 10400, Thailand","institution_ids":[]},{"raw_affiliation_string":"Spatial Informatics Group, LLC, 2529 Yolanda Ct., Pleasanton, CA 94566, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5039462107"],"corresponding_institution_ids":["https://openalex.org/I110210549"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":4.5026,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.94918173,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"12","issue":"18","first_page":"2888","last_page":"2888"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9994999766349792,"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/T10226","display_name":"Land Use and Ecosystem Services","score":0.9847000241279602,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9825999736785889,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"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/smoothing","display_name":"Smoothing","score":0.9468642473220825},{"id":"https://openalex.org/keywords/land-cover","display_name":"Land cover","score":0.7437698841094971},{"id":"https://openalex.org/keywords/cover","display_name":"Cover (algebra)","score":0.5973916053771973},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.548727810382843},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.45150434970855713},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.444486141204834},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42992621660232544},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4166452884674072},{"id":"https://openalex.org/keywords/land-use","display_name":"Land use","score":0.4014943838119507},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23015287518501282},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.20933738350868225},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.20492923259735107},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1329425871372223}],"concepts":[{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.9468642473220825},{"id":"https://openalex.org/C2780648208","wikidata":"https://www.wikidata.org/wiki/Q3001793","display_name":"Land cover","level":3,"score":0.7437698841094971},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.5973916053771973},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.548727810382843},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.45150434970855713},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.444486141204834},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42992621660232544},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4166452884674072},{"id":"https://openalex.org/C4792198","wikidata":"https://www.wikidata.org/wiki/Q1165944","display_name":"Land use","level":2,"score":0.4014943838119507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23015287518501282},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.20933738350868225},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.20492923259735107},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1329425871372223},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs12182888","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12182888","pdf_url":"https://www.mdpi.com/2072-4292/12/18/2888/pdf?version=1599392800","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:d521ea97da4c4f159e5a98c8c7ae54b7","is_oa":true,"landing_page_url":"https://doaj.org/article/d521ea97da4c4f159e5a98c8c7ae54b7","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing, Vol 12, Iss 18, p 2888 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/12/18/2888/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs12182888","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing; Volume 12; Issue 18; Pages: 2888","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs12182888","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs12182888","pdf_url":"https://www.mdpi.com/2072-4292/12/18/2888/pdf?version=1599392800","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":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":63,"referenced_works":["https://openalex.org/W252149111","https://openalex.org/W1544574920","https://openalex.org/W1559796722","https://openalex.org/W1786932643","https://openalex.org/W1915168785","https://openalex.org/W1967542684","https://openalex.org/W1971113640","https://openalex.org/W1971240982","https://openalex.org/W1979743603","https://openalex.org/W1996905547","https://openalex.org/W2002908628","https://openalex.org/W2014953904","https://openalex.org/W2015008560","https://openalex.org/W2018636632","https://openalex.org/W2025803711","https://openalex.org/W2047188941","https://openalex.org/W2057425761","https://openalex.org/W2058963764","https://openalex.org/W2078638557","https://openalex.org/W2095897558","https://openalex.org/W2107459025","https://openalex.org/W2107486809","https://openalex.org/W2113503197","https://openalex.org/W2121031665","https://openalex.org/W2128471397","https://openalex.org/W2133283549","https://openalex.org/W2138751033","https://openalex.org/W2140908571","https://openalex.org/W2150452912","https://openalex.org/W2158744420","https://openalex.org/W2160566385","https://openalex.org/W2161336494","https://openalex.org/W2165927551","https://openalex.org/W2166554126","https://openalex.org/W2170282805","https://openalex.org/W2221744192","https://openalex.org/W2322750819","https://openalex.org/W2337705655","https://openalex.org/W2527347850","https://openalex.org/W2543566983","https://openalex.org/W2589453516","https://openalex.org/W2755013453","https://openalex.org/W2888529949","https://openalex.org/W2912361013","https://openalex.org/W2937677292","https://openalex.org/W2944432191","https://openalex.org/W2953950759","https://openalex.org/W2955331310","https://openalex.org/W2979055326","https://openalex.org/W2982646168","https://openalex.org/W2993664868","https://openalex.org/W2995816944","https://openalex.org/W3023482927","https://openalex.org/W3154664134","https://openalex.org/W4235667863","https://openalex.org/W4288076010","https://openalex.org/W4290856507","https://openalex.org/W6609535757","https://openalex.org/W6633594258","https://openalex.org/W6643089521","https://openalex.org/W6654212123","https://openalex.org/W6664533558","https://openalex.org/W6769832530"],"related_works":["https://openalex.org/W1978572805","https://openalex.org/W3133615129","https://openalex.org/W2087854757","https://openalex.org/W2188959887","https://openalex.org/W2373152553","https://openalex.org/W2972049582","https://openalex.org/W4389201442","https://openalex.org/W2386169820","https://openalex.org/W604251607","https://openalex.org/W3170595163"],"abstract_inverted_index":{"Time":[0],"series":[1,31],"land":[2,35,50,81,107,119,148,194,210,246],"cover":[3,36,51,82,108,120,149,195,211,247],"data":[4,32,121,190],"statistics":[5],"often":[6],"fluctuate":[7],"abruptly":[8],"due":[9],"to":[10,25,79,131,137,216],"seasonal":[11],"impact":[12],"and":[13,49,66,74,143,165,235],"other":[14,169],"noise":[15,28],"in":[16,29,34,83,123,225,229],"the":[17,27,46,58,112,124,128,139,146,159,199,230,233,237],"input":[18],"image.":[19],"Temporal":[20],"smoothing":[21,41,47,161,167,181,205,222,238],"techniques":[22],"are":[23],"used":[24,33,122],"reduce":[26],"time":[30],"mapping.":[37],"The":[38,89,118,153,171,192],"effects":[39],"of":[40,60,87,91,141,145,232],"may":[42],"vary":[43],"based":[44,76,96,186],"on":[45,70,97,102,106,187],"method":[48],"category.":[52],"In":[53],"this":[54],"study,":[55],"we":[56],"compared":[57],"performance":[59,90],"Fourier":[61,166],"transformation":[62],"smoothing,":[63],"Whittaker":[64,160],"smoother":[65,69,93],"Linear-Fit":[67],"averaging":[68],"Landsat":[71],"5,":[72],"7":[73],"8":[75],"yearly":[77],"composites":[78,104],"classify":[80],"Province":[84],"No.":[85],"1":[86],"Nepal.":[88],"each":[92,245],"was":[94,100,126,135],"tested":[95],"whether":[98],"it":[99],"applied":[101],"image":[103],"or":[105],"primitives":[109,142],"generated":[110,196],"using":[111,177],"random":[113],"forest":[114],"machine":[115],"learning":[116],"method.":[117],"study":[125,219],"from":[127,203,214],"years":[129],"2000":[130],"2018.":[132],"Probability":[133],"distribution":[134],"examined":[136],"check":[138],"quality":[140,231],"accuracy":[144,213],"final":[147,193],"maps":[150],"were":[151,156],"accessed.":[152],"best":[154,200],"results":[155,172,201,234],"found":[157],"for":[158,162,168,244],"stable":[163],"classes":[164],"classes.":[170],"also":[173],"show":[174],"that":[175,221,236],"classification":[176,185],"a":[178,184,226],"properly":[179],"selected":[180],"algorithm":[182],"outperforms":[183],"its":[188],"unsmoothed":[189],"set.":[191],"by":[197],"combining":[198],"obtained":[202],"different":[204],"approaches":[206],"increased":[207],"our":[208],"overall":[209],"map":[212],"79.18%":[215],"83.44%.":[217],"This":[218],"shows":[220],"can":[223],"result":[224],"substantial":[227],"increase":[228],"approach":[239],"should":[240],"be":[241],"carefully":[242],"considered":[243],"class.":[248]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-24T13:16:06.693445","created_date":"2020-09-14T00:00:00"}
