{"id":"https://openalex.org/W4311366076","doi":"https://doi.org/10.3390/rs14246323","title":"Estimation of the Key Water Quality Parameters in the Surface Water, Middle of Northeast China, Based on Gaussian Process Regression","display_name":"Estimation of the Key Water Quality Parameters in the Surface Water, Middle of Northeast China, Based on Gaussian Process Regression","publication_year":2022,"publication_date":"2022-12-13","ids":{"openalex":"https://openalex.org/W4311366076","doi":"https://doi.org/10.3390/rs14246323"},"language":"en","primary_location":{"id":"doi:10.3390/rs14246323","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14246323","pdf_url":"https://www.mdpi.com/2072-4292/14/24/6323/pdf?version=1671520614","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/2072-4292/14/24/6323/pdf?version=1671520614","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077947499","display_name":"Xingpeng Liu","orcid":"https://orcid.org/0000-0003-4309-3457"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingpeng Liu","raw_affiliation_strings":["Key Laboratory for Vegetation Ecology, Ministry of Education, Changchun 130000, China","School of Environment, Northeast Normal University, Changchun 130024, China","State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Northeast Normal University, Changchun 130024, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Vegetation Ecology, Ministry of Education, Changchun 130000, China","institution_ids":[]},{"raw_affiliation_string":"School of Environment, Northeast Normal University, Changchun 130024, China","institution_ids":["https://openalex.org/I184983240"]},{"raw_affiliation_string":"State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Northeast Normal University, Changchun 130024, China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026323097","display_name":"Bazel Al-Shaibah","orcid":"https://orcid.org/0000-0002-6267-2879"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bazel Al-Shaibah","raw_affiliation_strings":["School of Environment, Northeast Normal University, Changchun 130024, China"],"affiliations":[{"raw_affiliation_string":"School of Environment, Northeast Normal University, Changchun 130024, China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103050635","display_name":"Chunli Zhao","orcid":"https://orcid.org/0000-0001-9897-7829"},"institutions":[{"id":"https://openalex.org/I4210152006","display_name":"Jilin Agricultural University","ror":"https://ror.org/05dmhhd41","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152006"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunli Zhao","raw_affiliation_strings":["College of Forestry and Grassland, Jilin Agricultural University, Changchun 130118, China"],"affiliations":[{"raw_affiliation_string":"College of Forestry and Grassland, Jilin Agricultural University, Changchun 130118, China","institution_ids":["https://openalex.org/I4210152006"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102783022","display_name":"Zhijun Tong","orcid":"https://orcid.org/0000-0003-1907-1688"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijun Tong","raw_affiliation_strings":["Key Laboratory for Vegetation Ecology, Ministry of Education, Changchun 130000, China","School of Environment, Northeast Normal University, Changchun 130024, China","State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Northeast Normal University, Changchun 130024, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Vegetation Ecology, Ministry of Education, Changchun 130000, China","institution_ids":[]},{"raw_affiliation_string":"School of Environment, Northeast Normal University, Changchun 130024, China","institution_ids":["https://openalex.org/I184983240"]},{"raw_affiliation_string":"State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Northeast Normal University, Changchun 130024, China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086377482","display_name":"Hongfeng Bian","orcid":"https://orcid.org/0000-0002-2667-3786"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongfeng Bian","raw_affiliation_strings":["School of Environment, Northeast Normal University, Changchun 130024, China"],"affiliations":[{"raw_affiliation_string":"School of Environment, Northeast Normal University, Changchun 130024, China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100401213","display_name":"Feng Zhang","orcid":"https://orcid.org/0000-0001-7614-3129"},"institutions":[{"id":"https://openalex.org/I4210152006","display_name":"Jilin Agricultural University","ror":"https://ror.org/05dmhhd41","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152006"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Zhang","raw_affiliation_strings":["College of Resources and Environment, Jilin Agricultural University, Changchun 130118, China"],"affiliations":[{"raw_affiliation_string":"College of Resources and Environment, Jilin Agricultural University, Changchun 130118, China","institution_ids":["https://openalex.org/I4210152006"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108053390","display_name":"Jiquan Zhang","orcid":"https://orcid.org/0000-0003-1092-6061"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiquan Zhang","raw_affiliation_strings":["Key Laboratory for Vegetation Ecology, Ministry of Education, Changchun 130000, China","School of Environment, Northeast Normal University, Changchun 130024, China","State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Northeast Normal University, Changchun 130024, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory for Vegetation Ecology, Ministry of Education, Changchun 130000, China","institution_ids":[]},{"raw_affiliation_string":"School of Environment, Northeast Normal University, Changchun 130024, China","institution_ids":["https://openalex.org/I184983240"]},{"raw_affiliation_string":"State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Northeast Normal University, Changchun 130024, China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081656964","display_name":"Xiangjun Pei","orcid":"https://orcid.org/0000-0003-0790-4099"},"institutions":[{"id":"https://openalex.org/I31595395","display_name":"Chengdu University of Technology","ror":"https://ror.org/05pejbw21","country_code":"CN","type":"education","lineage":["https://openalex.org/I31595395"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangjun Pei","raw_affiliation_strings":["State Environmental Protection Key Laboratory of Synergetic Control and Joint Remediation for Soil & Water Pollution, Chengdu University of Technology, Chengdu 610059, China"],"affiliations":[{"raw_affiliation_string":"State Environmental Protection Key Laboratory of Synergetic Control and Joint Remediation for Soil & Water Pollution, Chengdu University of Technology, Chengdu 610059, China","institution_ids":["https://openalex.org/I31595395"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5081656964"],"corresponding_institution_ids":["https://openalex.org/I31595395"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":1.2889,"has_fulltext":true,"cited_by_count":18,"citation_normalized_percentile":{"value":0.77373471,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"14","issue":"24","first_page":"6323","last_page":"6323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/T11634","display_name":"Water Quality and Pollution Assessment","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"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/T11490","display_name":"Hydrological Forecasting Using AI","score":0.9890999794006348,"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/water-quality","display_name":"Water quality","score":0.8089185953140259},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6919707655906677},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.5916185975074768},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5094004273414612},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.49101948738098145},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.46549543738365173},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4450840950012207},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4219255745410919},{"id":"https://openalex.org/keywords/soil-science","display_name":"Soil science","score":0.35189133882522583},{"id":"https://openalex.org/keywords/hydrology","display_name":"Hydrology (agriculture)","score":0.34097105264663696},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3327178657054901},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07043403387069702},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06675612926483154}],"concepts":[{"id":"https://openalex.org/C2780797713","wikidata":"https://www.wikidata.org/wiki/Q625376","display_name":"Water quality","level":2,"score":0.8089185953140259},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6919707655906677},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.5916185975074768},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5094004273414612},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.49101948738098145},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.46549543738365173},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4450840950012207},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4219255745410919},{"id":"https://openalex.org/C159390177","wikidata":"https://www.wikidata.org/wiki/Q9161265","display_name":"Soil science","level":1,"score":0.35189133882522583},{"id":"https://openalex.org/C76886044","wikidata":"https://www.wikidata.org/wiki/Q2883300","display_name":"Hydrology (agriculture)","level":2,"score":0.34097105264663696},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3327178657054901},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07043403387069702},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06675612926483154},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/rs14246323","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14246323","pdf_url":"https://www.mdpi.com/2072-4292/14/24/6323/pdf?version=1671520614","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:73dd1454c66646e5b1da0c4b2a3cf573","is_oa":true,"landing_page_url":"https://doaj.org/article/73dd1454c66646e5b1da0c4b2a3cf573","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 24, p 6323 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2072-4292/14/24/6323/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs14246323","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 24; Pages: 6323","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs14246323","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs14246323","pdf_url":"https://www.mdpi.com/2072-4292/14/24/6323/pdf?version=1671520614","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":0.8399999737739563,"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322174","display_name":"People's Government of Jilin Province","ror":"https://ror.org/02fzqav45"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4311366076.pdf","grobid_xml":"https://content.openalex.org/works/W4311366076.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W304811647","https://openalex.org/W1970691541","https://openalex.org/W1982982210","https://openalex.org/W1993216824","https://openalex.org/W2018728976","https://openalex.org/W2028584426","https://openalex.org/W2039767812","https://openalex.org/W2081122220","https://openalex.org/W2105900206","https://openalex.org/W2110856043","https://openalex.org/W2147904324","https://openalex.org/W2149876895","https://openalex.org/W2230051944","https://openalex.org/W2347766436","https://openalex.org/W2369460019","https://openalex.org/W2393676074","https://openalex.org/W2548071432","https://openalex.org/W2787255502","https://openalex.org/W2902720019","https://openalex.org/W2913128707","https://openalex.org/W2984765576","https://openalex.org/W3048393253","https://openalex.org/W3049044712","https://openalex.org/W3084213755","https://openalex.org/W3102023440","https://openalex.org/W3121117209","https://openalex.org/W3134338018","https://openalex.org/W3134338744","https://openalex.org/W3169511343","https://openalex.org/W3176031755","https://openalex.org/W4210784138","https://openalex.org/W4211049957","https://openalex.org/W4303980695","https://openalex.org/W4308327094","https://openalex.org/W6610757482"],"related_works":["https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W2312753042","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W2034959125","https://openalex.org/W2355687852","https://openalex.org/W3174513558","https://openalex.org/W2114200869"],"abstract_inverted_index":{"To":[0],"estimate":[1],"the":[2,57,65,72,79,84,124,127,134,155,177,196],"key":[3,35],"water":[4,36,80,85,105,178,188,192,208],"quality":[5,37,81,86,106,189,209],"parameters":[6],"on":[7,12,99],"a":[8,184,205],"large":[9],"scale,":[10],"based":[11,98],"Pearson\u2019s":[13],"correlation":[14],"analysis":[15,52,101,157],"and":[16,45,59,64,92,96,102,113,121,145,160,191,199],"band":[17,25],"ratio,":[18],"this":[19],"study":[20,197],"first":[21,66],"obtains":[22],"multiple":[23,61],"sensitive":[24],"combinations":[26,74],"(R":[27,139],"\u2265":[28],"0.30,":[29],"p":[30,142],"<":[31,143,173],"0.01)":[32],"for":[33,115,187,207],"three":[34,67,128],"parameters:":[38],"dissolved":[39],"oxygen":[40],"(DO),":[41],"total":[42,46],"nitrogen":[43],"(TN),":[44],"phosphorus":[47],"(TP).":[48],"Then,":[49],"principal":[50,68],"component":[51],"is":[53,131,150,163],"used":[54,203],"to":[55,77,152],"reduce":[56],"dimensions":[58],"analyze":[60,78],"optimal":[62,73],"combinations,":[63],"components":[69],"(PCs)":[70],"of":[71,89,126,158,167],"are":[75,94],"selected":[76],"parameters.":[82],"Finally,":[83],"parameter":[87],"models":[88],"DO,":[90,161],"TN,":[91],"TP":[93,135,146,172],"proposed":[95],"compared":[97],"spectral":[100],"field":[103],"measured":[104],"data":[107],"respectively":[108],"using":[109],"Gaussian":[110],"process":[111],"regression":[112],"PCs":[114],"each":[116],"parameter.":[117],"Through":[118,154],"model":[119,136],"verification":[120],"by":[122],"comparing":[123],"performance":[125],"models,":[129],"it":[130,162],"found":[132,164],"that":[133,165],"performed":[137],"well":[138],"=":[140],"0.9824,":[141],"0.01),":[144],"grade":[147],"accuracy":[148],"rate":[149],"up":[151],"94.97%.":[153],"error":[156,168],"TN":[159],"93.0%":[166],"samples":[169],"occurs":[170],"when":[171],"0.1":[174],"mg/L":[175],"in":[176,195,211],"quality.":[179],"These":[180],"results":[181],"would":[182],"provide":[183],"scientific":[185],"basis":[186],"monitoring":[190,210],"environment":[193],"management":[194],"area":[198],"could":[200],"also":[201],"be":[202],"as":[204],"reference":[206],"other":[212],"basins.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2022-12-25T00:00:00"}