{"id":"https://openalex.org/W2792754646","doi":"https://doi.org/10.3390/rs10020192","title":"Spatial Upscaling of Sparse Soil Moisture Observations Based on Ridge Regression","display_name":"Spatial Upscaling of Sparse Soil Moisture Observations Based on Ridge Regression","publication_year":2018,"publication_date":"2018-01-28","ids":{"openalex":"https://openalex.org/W2792754646","doi":"https://doi.org/10.3390/rs10020192","mag":"2792754646"},"language":"en","primary_location":{"id":"doi:10.3390/rs10020192","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10020192","pdf_url":"https://www.mdpi.com/2072-4292/10/2/192/pdf?version=1517133066","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/2072-4292/10/2/192/pdf?version=1517133066","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075497408","display_name":"Jian Kang","orcid":"https://orcid.org/0000-0003-3109-5631"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210106526","display_name":"Northwest Institute of Eco-Environment and Resources","ror":"https://ror.org/01jz1e142","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Kang","raw_affiliation_strings":["Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China","institution_ids":["https://openalex.org/I4210106526","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020478633","display_name":"Rui Jin","orcid":"https://orcid.org/0000-0003-4544-6535"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210106526","display_name":"Northwest Institute of Eco-Environment and Resources","ror":"https://ror.org/01jz1e142","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106526"]},{"id":"https://openalex.org/I4210144025","display_name":"Center for Excellence in Tibetan Plateau Earth Sciences","ror":"https://ror.org/052acn261","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210141476","https://openalex.org/I4210144025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rui Jin","raw_affiliation_strings":["CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing 100049, China","Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China"],"affiliations":[{"raw_affiliation_string":"CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210144025"]},{"raw_affiliation_string":"Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China","institution_ids":["https://openalex.org/I4210106526","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354056","display_name":"Xin Li","orcid":"https://orcid.org/0000-0003-2999-9818"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210106526","display_name":"Northwest Institute of Eco-Environment and Resources","ror":"https://ror.org/01jz1e142","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106526"]},{"id":"https://openalex.org/I4210144025","display_name":"Center for Excellence in Tibetan Plateau Earth Sciences","ror":"https://ror.org/052acn261","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210141476","https://openalex.org/I4210144025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Li","raw_affiliation_strings":["CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing 100049, China","Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China"],"affiliations":[{"raw_affiliation_string":"CAS Center for Excellence in Tibetan Plateau Earth Sciences, Beijing 100049, China","institution_ids":["https://openalex.org/I4210144025"]},{"raw_affiliation_string":"Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China","institution_ids":["https://openalex.org/I4210106526","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354811","display_name":"Yang Zhang","orcid":"https://orcid.org/0000-0003-4102-2671"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210106526","display_name":"Northwest Institute of Eco-Environment and Resources","ror":"https://ror.org/01jz1e142","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210106526"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Remote Sensing of Gansu Province, Heihe Remote Sensing Experimental Research Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China","institution_ids":["https://openalex.org/I4210106526","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103001038","display_name":"Zhongli Zhu","orcid":"https://orcid.org/0000-0003-4982-8864"},"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":"Zhongli Zhu","raw_affiliation_strings":["The State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China"],"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5020478633"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210106526","https://openalex.org/I4210144025"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.4764,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.7952171,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"10","issue":"2","first_page":"192","last_page":"192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":1.0,"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"}},{"id":"https://openalex.org/T11333","display_name":"Climate change and permafrost","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10716","display_name":"Soil and Unsaturated Flow","score":0.9965999722480774,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"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/ground-truth","display_name":"Ground truth","score":0.6879203915596008},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.44312334060668945},{"id":"https://openalex.org/keywords/variance-inflation-factor","display_name":"Variance inflation factor","score":0.4301389455795288},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.41963496804237366},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.4168919324874878},{"id":"https://openalex.org/keywords/ridge","display_name":"Ridge","score":0.4115092158317566},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4109347462654114},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.3651486933231354},{"id":"https://openalex.org/keywords/soil-science","display_name":"Soil science","score":0.34873634576797485},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.3448585271835327},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3326641321182251},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31797122955322266},{"id":"https://openalex.org/keywords/multicollinearity","display_name":"Multicollinearity","score":0.3005516827106476},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.26631200313568115},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1886122226715088}],"concepts":[{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6879203915596008},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.44312334060668945},{"id":"https://openalex.org/C152732102","wikidata":"https://www.wikidata.org/wiki/Q13434396","display_name":"Variance inflation factor","level":4,"score":0.4301389455795288},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.41963496804237366},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4168919324874878},{"id":"https://openalex.org/C32277403","wikidata":"https://www.wikidata.org/wiki/Q740445","display_name":"Ridge","level":2,"score":0.4115092158317566},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4109347462654114},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.3651486933231354},{"id":"https://openalex.org/C159390177","wikidata":"https://www.wikidata.org/wiki/Q9161265","display_name":"Soil science","level":1,"score":0.34873634576797485},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3448585271835327},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3326641321182251},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31797122955322266},{"id":"https://openalex.org/C189285262","wikidata":"https://www.wikidata.org/wiki/Q1332350","display_name":"Multicollinearity","level":3,"score":0.3005516827106476},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.26631200313568115},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1886122226715088},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3390/rs10020192","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10020192","pdf_url":"https://www.mdpi.com/2072-4292/10/2/192/pdf?version=1517133066","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"}],"best_oa_location":{"id":"doi:10.3390/rs10020192","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10020192","pdf_url":"https://www.mdpi.com/2072-4292/10/2/192/pdf?version=1517133066","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":0.7200000286102295,"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1963012803","display_name":null,"funder_award_id":"41531174","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326981","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2792754646.pdf","grobid_xml":"https://content.openalex.org/works/W2792754646.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1578138499","https://openalex.org/W1965229099","https://openalex.org/W1968487307","https://openalex.org/W1971895777","https://openalex.org/W1987597902","https://openalex.org/W2000577636","https://openalex.org/W2013049148","https://openalex.org/W2015066808","https://openalex.org/W2026845815","https://openalex.org/W2036774006","https://openalex.org/W2039348932","https://openalex.org/W2040668766","https://openalex.org/W2048336910","https://openalex.org/W2052637016","https://openalex.org/W2074121989","https://openalex.org/W2085306913","https://openalex.org/W2098319357","https://openalex.org/W2115817712","https://openalex.org/W2147241431","https://openalex.org/W2148691574","https://openalex.org/W2148825692","https://openalex.org/W2348428089","https://openalex.org/W2352044181","https://openalex.org/W2491586552","https://openalex.org/W2556091794","https://openalex.org/W2582059183","https://openalex.org/W2584257577","https://openalex.org/W2601878298","https://openalex.org/W2744352117","https://openalex.org/W2759163218","https://openalex.org/W2765980126","https://openalex.org/W4234698323","https://openalex.org/W6723339666"],"related_works":["https://openalex.org/W2586047144","https://openalex.org/W1639044165","https://openalex.org/W3016675171","https://openalex.org/W3021591465","https://openalex.org/W2242826594","https://openalex.org/W4287781063","https://openalex.org/W3036573352","https://openalex.org/W4386941098","https://openalex.org/W2082038193","https://openalex.org/W4382284687"],"abstract_inverted_index":{"Available":[0],"ground-based":[1],"observation":[2,237],"networks":[3,238],"for":[4,103,234],"the":[5,23,31,81,92,104,107,111,116,140,156,161,168,177,182,187,191,196,202,209,212,221,230,235,240,256,261,270,277,287,301],"validation":[6,248],"of":[7,33,84,167,204,211,254,272],"soil":[8],"moisture":[9],"remote":[10,25,65,85],"sensing":[11,26,66,86],"products":[12],"are":[13,20,289],"commonly":[14],"sparse;":[15],"thus,":[16],"ground":[17,37,48,58],"truth":[18,38,49,61,77],"determinations":[19],"difficult":[21,298],"at":[22],"validated":[24,93],"pixel":[27,94],"scale.":[28],"Based":[29],"on":[30,80],"consistency":[32],"temporal":[34,56],"trends":[35],"between":[36,55],"and":[39,60,150,153,160,215,224,265],"in":[40,91,112,145,205,246],"situ":[41,113,206],"measurements,":[42],"it":[43,296],"is":[44,143,185,227,266,297],"feasible":[45],"to":[46,88,96,120,176,200,269,294,299],"estimate":[47],"by":[50,132],"building":[51],"a":[52,69,134,251],"linear":[53],"relationship":[54,105],"sparse":[57,138,283],"observations":[59],"samples.":[62],"Herein,":[63],"auxiliary":[64],"data":[67,87],"with":[68,155],"moderate":[70],"spatial":[71,89],"resolution":[72],"can":[73,280],"be":[74,244],"transformed":[75],"into":[76],"samples":[78],"depending":[79],"stronger":[82],"representation":[83],"heterogeneity":[90],"relative":[95],"limited":[97],"sites.":[98,284],"When":[99,181],"solving":[100],"weighting":[101],"coefficients":[102],"model,":[106],"underlying":[108],"correlations":[109],"among":[110],"measurements":[114,207],"cause":[115],"multicollinearity":[117],"problem,":[118],"leading":[119],"failed":[121],"predictions.":[122],"An":[123],"upscaling":[124,165,302],"algorithm":[125],"called":[126],"ridge":[127,213,222],"regression":[128],"(RR)":[129],"addresses":[130],"this":[131],"introducing":[133],"regularization":[135],"parameter.":[136],"With":[137,250],"sites,":[139,152,255,273],"RR":[141,169,183,241,257,278],"method":[142,170,184,233,242,258,279],"tested":[144],"two":[146,179],"cases":[147],"employing":[148],"six":[149],"nine":[151],"compared":[154,175],"ordinary":[157],"least":[158],"squares":[159],"arithmetic":[162],"mean.":[163],"The":[164],"results":[166],"show":[171],"higher":[172],"prediction":[173],"accuracies":[174],"other":[178],"methods.":[180],"used,":[186],"six-site":[188],"case":[189,198],"has":[190],"same":[192],"estimation":[193,263],"accuracy":[194,264],"as":[195,229],"nine-site":[197],"due":[199],"maintaining":[201],"diversity":[203],"through":[208],"analysis":[210,226],"trace":[214,223],"variance":[216],"inflation":[217],"factor":[218],"(VIF).":[219],"Thus,":[220],"VIF":[225],"considered":[228],"optimal":[231],"selection":[232],"existing":[236],"if":[239,286],"will":[243],"used":[245],"future":[247],"work.":[249],"different":[252],"number":[253,271],"always":[259],"displays":[260],"best":[262],"not":[267],"sensitive":[268],"which":[274],"indicates":[275],"that":[276],"potentially":[281],"upscale":[282],"However,":[285],"sites":[288],"too":[290],"few,":[291],"e.g.,":[292],"one":[293],"four,":[295],"perform":[300],"method.":[303]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}