{"id":"https://openalex.org/W2999304484","doi":"https://doi.org/10.1109/tgrs.2019.2958048","title":"Forecasting Time Series Albedo Using NARnet Based on EEMD Decomposition","display_name":"Forecasting Time Series Albedo Using NARnet Based on EEMD Decomposition","publication_year":2020,"publication_date":"2020-01-10","ids":{"openalex":"https://openalex.org/W2999304484","doi":"https://doi.org/10.1109/tgrs.2019.2958048","mag":"2999304484"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2019.2958048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2019.2958048","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100459534","display_name":"Guodong Zhang","orcid":"https://orcid.org/0000-0001-8822-7725"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]},{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guodong Zhang","raw_affiliation_strings":["School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China","State Key Laboratory of Remote Sensing Science, Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052377332","display_name":"Hongmin Zhou","orcid":"https://orcid.org/0000-0001-7384-6152"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongmin Zhou","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102757496","display_name":"Changjing Wang","orcid":"https://orcid.org/0000-0002-3601-4979"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]},{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changjing Wang","raw_affiliation_strings":["School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China","State Key Laboratory of Remote Sensing Science, Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]},{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100711257","display_name":"Huazhu Xue","orcid":"https://orcid.org/0000-0003-4046-7935"},"institutions":[{"id":"https://openalex.org/I4210166499","display_name":"Henan Polytechnic University","ror":"https://ror.org/05vr1c885","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210166499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huazhu Xue","raw_affiliation_strings":["School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China"],"affiliations":[{"raw_affiliation_string":"School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo, China","institution_ids":["https://openalex.org/I4210166499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035656977","display_name":"Jindi Wang","orcid":"https://orcid.org/0000-0003-4962-4888"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jindi Wang","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Beijing Engineering Research Center for Global Land Remote Sensing Products, Faculty of Geographical Science, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062805820","display_name":"Huawei Wan","orcid":null},"institutions":[{"id":"https://openalex.org/I204710742","display_name":"Ministry of Ecology and Environment","ror":"https://ror.org/04gwbew76","country_code":"CN","type":"government","lineage":["https://openalex.org/I204710742"]},{"id":"https://openalex.org/I4210158498","display_name":"Satellite Application Center for Ecology and Environment","ror":"https://ror.org/04x9p9g72","country_code":"CN","type":"government","lineage":["https://openalex.org/I204710742","https://openalex.org/I4210158498"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huawei Wan","raw_affiliation_strings":["Satellite Environment Center, Ministry of Environmental Protection, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Satellite Environment Center, Ministry of Environmental Protection, Beijing, China","institution_ids":["https://openalex.org/I4210158498","https://openalex.org/I204710742"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100459534"],"corresponding_institution_ids":["https://openalex.org/I25254941","https://openalex.org/I4210166112","https://openalex.org/I4210166499"],"apc_list":null,"apc_paid":null,"fwci":1.9494,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.86524511,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"58","issue":"5","first_page":"3544","last_page":"3557"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.996399998664856,"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/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.996399998664856,"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/T10029","display_name":"Climate variability and models","score":0.9894999861717224,"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":0.9869999885559082,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/albedo","display_name":"Albedo (alchemy)","score":0.7703144550323486},{"id":"https://openalex.org/keywords/snow","display_name":"Snow","score":0.601341187953949},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5580901503562927},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5223780274391174},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.5109423995018005},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5025172233581543},{"id":"https://openalex.org/keywords/moderate-resolution-imaging-spectroradiometer","display_name":"Moderate-resolution imaging spectroradiometer","score":0.5006749629974365},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.4927397072315216},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.4724688231945038},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.4395673871040344},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32360613346099854},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2874721884727478},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2640076279640198},{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.22751140594482422},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.18803173303604126},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15057334303855896},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12896788120269775},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.1054975688457489}],"concepts":[{"id":"https://openalex.org/C195886398","wikidata":"https://www.wikidata.org/wiki/Q2110050","display_name":"Albedo (alchemy)","level":3,"score":0.7703144550323486},{"id":"https://openalex.org/C197046000","wikidata":"https://www.wikidata.org/wiki/Q7561","display_name":"Snow","level":2,"score":0.601341187953949},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5580901503562927},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5223780274391174},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.5109423995018005},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5025172233581543},{"id":"https://openalex.org/C2777007095","wikidata":"https://www.wikidata.org/wiki/Q676840","display_name":"Moderate-resolution imaging spectroradiometer","level":3,"score":0.5006749629974365},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4927397072315216},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.4724688231945038},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.4395673871040344},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32360613346099854},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2874721884727478},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2640076279640198},{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.22751140594482422},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18803173303604126},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15057334303855896},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12896788120269775},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.1054975688457489},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C52119013","wikidata":"https://www.wikidata.org/wiki/Q50637","display_name":"Art history","level":1,"score":0.0},{"id":"https://openalex.org/C554144382","wikidata":"https://www.wikidata.org/wiki/Q213156","display_name":"Performance art","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2019.2958048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2019.2958048","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3681290873","display_name":null,"funder_award_id":"41801242","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6257172085","display_name":null,"funder_award_id":"2013CB733403","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W156669207","https://openalex.org/W1066208909","https://openalex.org/W1512416947","https://openalex.org/W1674733673","https://openalex.org/W1965682604","https://openalex.org/W1977602117","https://openalex.org/W1981739754","https://openalex.org/W1988845048","https://openalex.org/W2001276154","https://openalex.org/W2005839781","https://openalex.org/W2010113775","https://openalex.org/W2014202359","https://openalex.org/W2020112655","https://openalex.org/W2020402473","https://openalex.org/W2020514069","https://openalex.org/W2026608513","https://openalex.org/W2029956212","https://openalex.org/W2030450539","https://openalex.org/W2046351788","https://openalex.org/W2046794274","https://openalex.org/W2057414167","https://openalex.org/W2070503188","https://openalex.org/W2077519450","https://openalex.org/W2088202114","https://openalex.org/W2088478795","https://openalex.org/W2089913583","https://openalex.org/W2102970817","https://openalex.org/W2106665847","https://openalex.org/W2111626115","https://openalex.org/W2113724293","https://openalex.org/W2120390927","https://openalex.org/W2133608597","https://openalex.org/W2133707588","https://openalex.org/W2135843276","https://openalex.org/W2138448722","https://openalex.org/W2144615603","https://openalex.org/W2144630956","https://openalex.org/W2148065061","https://openalex.org/W2154908941","https://openalex.org/W2162899308","https://openalex.org/W2170846069","https://openalex.org/W2171221184","https://openalex.org/W2173121193","https://openalex.org/W2176234939","https://openalex.org/W2387161162","https://openalex.org/W2406244345","https://openalex.org/W2565381017","https://openalex.org/W2567650967","https://openalex.org/W2620171529","https://openalex.org/W2928998455","https://openalex.org/W3099618244","https://openalex.org/W6630670229","https://openalex.org/W6645469593"],"related_works":["https://openalex.org/W3014107421","https://openalex.org/W2363056446","https://openalex.org/W2081563414","https://openalex.org/W2359718298","https://openalex.org/W2377062149","https://openalex.org/W2118050283","https://openalex.org/W1990887063","https://openalex.org/W2112487230","https://openalex.org/W1915398038","https://openalex.org/W2349019353"],"abstract_inverted_index":{"Land":[0],"surface":[1,35,46,226,233],"albedo":[2,26,36,47,56,84,129,140,154,159],"analysis":[3,27],"and":[4,15,66,92,111,118,138,145,170,198,210],"prediction":[5,48,141,219],"are":[6,120],"of":[7,61,115,156,207],"great":[8],"significance":[9],"for":[10,44,127,175],"global":[11,16],"energy":[12],"budget":[13],"research":[14],"change":[17,205],"forecasting.":[18,70],"Research":[19],"has":[20],"been":[21],"performed":[22,32,135,184],"on":[23,33,136],"time":[24,54,62,67,82,243],"series":[25,55,63,68,83],"but":[28],"seldom":[29],"attempt":[30],"was":[31,134],"land":[34,45,225,232],"prediction.":[37],"This":[38],"article":[39],"develops":[40],"an":[41],"effective":[42],"method":[43,77,103,133],"from":[49],"Moderate-Resolution":[50],"Imaging":[51],"Spectroradiometer":[52],"(MODIS)":[53],"data":[57,64,69,85,160],"(MCD43A3).":[58],"It":[59],"consists":[60,155],"decomposing":[65],"The":[71,113,131,148],"ensemble":[72],"empirical":[73],"mode":[74,89],"decomposition":[75],"(EEMD)":[76],"decomposes":[78],"the":[79,97,128,152,157,181,223,240],"MODIS":[80,158],"historical":[81],"into":[86],"several":[87],"intrinsic":[88],"functions":[90],"(IMFs)":[91],"one":[93],"residual":[94],"series,":[95],"then":[96],"nonlinear":[98],"autoregressive":[99],"neural":[100],"network":[101],"(NARnet)":[102],"is":[104,213,244],"used":[105],"to":[106,122,215,222],"forecast":[107,126,153],"each":[108],"IMF":[109],"component":[110],"residue.":[112],"predictions":[114],"all":[116],"IMFs":[117],"residue":[119],"summed":[121],"obtain":[123],"a":[124],"final":[125],"series.":[130],"proposed":[132],"monthly":[137],"daily":[139],"both":[142],"in":[143],"snow-free":[144,176],"snowy":[146,179],"areas.":[147,177],"results":[149],"showed":[150],"that":[151],"well,":[161],"with":[162,190],"R":[163,191],"<sup":[164,192],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[165,193],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[166,194],"greater":[167,195],"than":[168,173,196,201],"0.89":[169],"RMSE":[171,199],"less":[172,200],"0.052":[174],"For":[178,203,228],"areas,":[180],"forecasting":[182],"also":[183],"well":[185],"during":[186],"snow":[187,208],"cover":[188],"periods,":[189],"0.76":[197],"0.076.":[202],"irregular":[204,224],"periods":[206],"falling":[209],"melting,":[211],"it":[212],"hard":[214],"get":[216],"very":[217],"high":[218],"accuracy":[220],"due":[221],"change.":[227],"this":[229],"problem,":[230],"more":[231],"information":[234],"should":[235],"be":[236],"introduced,":[237],"or":[238],"adjusting":[239],"model":[241],"over":[242],"necessary.":[245]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}