{"id":"https://openalex.org/W3004874289","doi":"https://doi.org/10.1109/tii.2020.2972351","title":"Near-Infrared Wavelength-Selection Method Based on Joint Mutual Information and Weighted Bootstrap Sampling","display_name":"Near-Infrared Wavelength-Selection Method Based on Joint Mutual Information and Weighted Bootstrap Sampling","publication_year":2020,"publication_date":"2020-02-07","ids":{"openalex":"https://openalex.org/W3004874289","doi":"https://doi.org/10.1109/tii.2020.2972351","mag":"3004874289"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2020.2972351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2020.2972351","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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/A5100437052","display_name":"Kai Wang","orcid":"https://orcid.org/0000-0002-7005-9409"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Wang","raw_affiliation_strings":["School of Information Science and Engineering and the Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-7005-9409","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering and the Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048267931","display_name":"Wenli Du","orcid":"https://orcid.org/0000-0002-2676-6341"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenli Du","raw_affiliation_strings":["School of Information Science and Engineering and the Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-2676-6341","affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering and the Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010215964","display_name":"Jian Long","orcid":"https://orcid.org/0000-0002-3221-309X"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Long","raw_affiliation_strings":["School of Information Science and Engineering and the Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering and the Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I143593769"],"apc_list":null,"apc_paid":null,"fwci":2.5929,"has_fulltext":false,"cited_by_count":35,"citation_normalized_percentile":{"value":0.88694005,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"16","issue":"9","first_page":"5884","last_page":"5894"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T14249","display_name":"Water Quality Monitoring and Analysis","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2311","display_name":"Industrial and Manufacturing 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/mutual-information","display_name":"Mutual information","score":0.6120390892028809},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5539975762367249},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5309785008430481},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5062565207481384},{"id":"https://openalex.org/keywords/variable-elimination","display_name":"Variable elimination","score":0.4576941132545471},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.43220168352127075},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.42746418714523315},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3800160884857178},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3368368148803711},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3295767307281494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29665982723236084},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21244800090789795},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1172497570514679}],"concepts":[{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.6120390892028809},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5539975762367249},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5309785008430481},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5062565207481384},{"id":"https://openalex.org/C169272836","wikidata":"https://www.wikidata.org/wiki/Q5668307","display_name":"Variable elimination","level":3,"score":0.4576941132545471},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.43220168352127075},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.42746418714523315},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3800160884857178},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3368368148803711},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3295767307281494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29665982723236084},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21244800090789795},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1172497570514679},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2020.2972351","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2020.2972351","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7080425269","display_name":null,"funder_award_id":"61973124","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1984312424","https://openalex.org/W1997270149","https://openalex.org/W2003167996","https://openalex.org/W2011406720","https://openalex.org/W2018338598","https://openalex.org/W2022516935","https://openalex.org/W2024509774","https://openalex.org/W2030753670","https://openalex.org/W2034652734","https://openalex.org/W2038387877","https://openalex.org/W2040019138","https://openalex.org/W2050870337","https://openalex.org/W2051275357","https://openalex.org/W2066541111","https://openalex.org/W2076329415","https://openalex.org/W2076384720","https://openalex.org/W2084169316","https://openalex.org/W2084649778","https://openalex.org/W2110190618","https://openalex.org/W2131253515","https://openalex.org/W2140196823","https://openalex.org/W2231144898","https://openalex.org/W2334959938","https://openalex.org/W2343446801","https://openalex.org/W2792619933","https://openalex.org/W2898767403","https://openalex.org/W2913875153","https://openalex.org/W2923436937","https://openalex.org/W2944648179"],"related_works":["https://openalex.org/W2047610499","https://openalex.org/W2997083166","https://openalex.org/W2086424613","https://openalex.org/W3037363193","https://openalex.org/W2387140374","https://openalex.org/W2533731304","https://openalex.org/W2386078281","https://openalex.org/W3111660818","https://openalex.org/W4287553507","https://openalex.org/W2073566205"],"abstract_inverted_index":{"Near-infrared":[0],"(NIR)":[1],"spectroscopy":[2,35],"is":[3,17,77,93,141,156],"widely":[4],"used":[5,78,95],"to":[6,64,79,96,105,158],"estimate":[7],"product":[8],"quality":[9],"and":[10,41,54,85,115,150,172],"other":[11,174],"key":[12],"variables.":[13],"Eliminating":[14],"redundant":[15],"variables":[16,53,84],"very":[18],"important":[19],"in":[20,61],"constructing":[21],"a":[22,29],"high-quality":[23],"NIR":[24,34,145],"model.":[25],"This":[26,123],"article":[27],"proposes":[28],"new":[30],"wavelength-selection":[31,175],"method":[32,47,140,155],"for":[33],"based":[36,72],"on":[37,73,132],"joint":[38,74],"mutual":[39,75],"information":[40,76],"weighted":[42],"bootstrap":[43],"sampling":[44],"(WBS).":[45],"The":[46,70,136,153],"considers":[48],"the":[49,56,66,81,89,99,107,127,163],"combination":[50],"effect":[51],"of":[52,59,83,101,109,118,138,147],"involves":[55],"dynamic":[57],"selection":[58],"wavelength":[60,130],"each":[62],"iteration":[63],"increase":[65,106],"model":[67],"prediction":[68,113],"accuracy.":[69],"index":[71],"determine":[80],"importance":[82,100],"thus":[86],"accurately":[87],"reflects":[88],"variable-combination":[90],"effect.":[91],"WBS":[92],"further":[94],"dynamically":[97],"adjust":[98],"candidate":[102],"variables,":[103],"i.e.,":[104],"weights":[108],"samples":[110,119],"with":[111,120],"poor":[112],"results":[114],"decrease":[116],"those":[117],"accurate":[121],"prediction.":[122],"process":[124],"ensures":[125],"that":[126],"subsequently":[128],"selected":[129],"focuses":[131],"inaccurately":[133],"estimated":[134],"samples.":[135],"performance":[137],"this":[139],"demonstrated":[142],"through":[143],"three":[144],"datasets":[146],"gasoline,":[148],"shootout,":[149],"diesel":[151],"fuels.":[152],"proposed":[154],"found":[157],"have":[159],"better":[160],"accuracy":[161],"than":[162],"traditional":[164],"partial-least-squares":[165],"method,":[166],"variable":[167],"iterative":[168],"space":[169],"shrinkage":[170],"approach,":[171],"several":[173],"methods.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
