{"id":"https://openalex.org/W3022680479","doi":"https://doi.org/10.3390/s20092514","title":"Five Typical Stenches Detection Using an Electronic Nose","display_name":"Five Typical Stenches Detection Using an Electronic Nose","publication_year":2020,"publication_date":"2020-04-29","ids":{"openalex":"https://openalex.org/W3022680479","doi":"https://doi.org/10.3390/s20092514","mag":"3022680479","pmid":"https://pubmed.ncbi.nlm.nih.gov/32365549"},"language":"en","primary_location":{"id":"doi:10.3390/s20092514","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20092514","pdf_url":"https://www.mdpi.com/1424-8220/20/9/2514/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/20/9/2514/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101874624","display_name":"Wei Jiang","orcid":"https://orcid.org/0000-0002-6742-5199"},"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":"Wei Jiang","raw_affiliation_strings":["School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200030, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200030, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007052738","display_name":"Daqi Gao","orcid":null},"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":true,"raw_author_name":"Daqi Gao","raw_affiliation_strings":["School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200030, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200030, China","institution_ids":["https://openalex.org/I143593769"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5007052738"],"corresponding_institution_ids":["https://openalex.org/I143593769"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2673},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2673},"fwci":0.4418,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.54102908,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"20","issue":"9","first_page":"2514","last_page":"2514"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12321","display_name":"Insect Pheromone Research and Control","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/electronic-nose","display_name":"Electronic nose","score":0.9695982933044434},{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.82532799243927},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7805417776107788},{"id":"https://openalex.org/keywords/odor","display_name":"Odor","score":0.7452515363693237},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7176820635795593},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7157089114189148},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.691994309425354},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6402798891067505},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6045569181442261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5711224675178528},{"id":"https://openalex.org/keywords/backpropagation","display_name":"Backpropagation","score":0.5057487487792969},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44335517287254333},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.11929088830947876}],"concepts":[{"id":"https://openalex.org/C23895516","wikidata":"https://www.wikidata.org/wiki/Q550092","display_name":"Electronic nose","level":2,"score":0.9695982933044434},{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.82532799243927},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7805417776107788},{"id":"https://openalex.org/C2778916471","wikidata":"https://www.wikidata.org/wiki/Q485537","display_name":"Odor","level":2,"score":0.7452515363693237},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7176820635795593},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7157089114189148},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.691994309425354},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6402798891067505},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6045569181442261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5711224675178528},{"id":"https://openalex.org/C155032097","wikidata":"https://www.wikidata.org/wiki/Q798503","display_name":"Backpropagation","level":3,"score":0.5057487487792969},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44335517287254333},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.11929088830947876},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002681","descriptor_name":"China","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009812","descriptor_name":"Odorants","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D009812","descriptor_name":"Odorants","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D009812","descriptor_name":"Odorants","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D016002","descriptor_name":"Discriminant Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016002","descriptor_name":"Discriminant Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016002","descriptor_name":"Discriminant Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D025341","descriptor_name":"Principal Component Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062609","descriptor_name":"Electronic Nose","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062609","descriptor_name":"Electronic Nose","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D062609","descriptor_name":"Electronic Nose","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s20092514","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20092514","pdf_url":"https://www.mdpi.com/1424-8220/20/9/2514/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:32365549","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32365549","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:doaj.org/article:ceebf0ee293a4d3fa75194828ef06b79","is_oa":true,"landing_page_url":"https://doaj.org/article/ceebf0ee293a4d3fa75194828ef06b79","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":"Sensors, Vol 20, Iss 9, p 2514 (2020)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/20/9/2514/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/s20092514","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":"Sensors","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7248900","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7248900","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Sensors (Basel)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s20092514","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s20092514","pdf_url":"https://www.mdpi.com/1424-8220/20/9/2514/pdf","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7099999785423279,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3022680479.pdf","grobid_xml":"https://content.openalex.org/works/W3022680479.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1968951836","https://openalex.org/W2028954797","https://openalex.org/W2034962364","https://openalex.org/W2063872198","https://openalex.org/W2123768400","https://openalex.org/W2158822760","https://openalex.org/W2332123535","https://openalex.org/W2508881151","https://openalex.org/W2789666976","https://openalex.org/W2799593135","https://openalex.org/W2900362095","https://openalex.org/W2906426977","https://openalex.org/W2909559065","https://openalex.org/W2912293709","https://openalex.org/W2919930457","https://openalex.org/W2931263212","https://openalex.org/W2949472456","https://openalex.org/W2952455565","https://openalex.org/W2953701385","https://openalex.org/W2974768660","https://openalex.org/W2978215870","https://openalex.org/W2980075200","https://openalex.org/W2984383187","https://openalex.org/W3122572722"],"related_works":["https://openalex.org/W2056596841","https://openalex.org/W2349581046","https://openalex.org/W2085677935","https://openalex.org/W2080410076","https://openalex.org/W2912293709","https://openalex.org/W1596740836","https://openalex.org/W2024869860","https://openalex.org/W2391447249","https://openalex.org/W2094946501","https://openalex.org/W1980627576"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3],"the":[4,18,22,31,34,117],"classification":[5],"of":[6,33,53],"stenches,":[7],"which":[8,27],"can":[9],"stimulate":[10],"olfactory":[11],"organs":[12],"to":[13,61],"discomfort":[14],"people":[15],"and":[16,57,78,95],"pollute":[17],"environment.":[19],"In":[20,43],"China,":[21],"triangle":[23],"odor":[24,41],"bag":[25],"method,":[26],"only":[28],"depends":[29],"on":[30],"state":[32],"panelist,":[35],"is":[36],"widely":[37],"used":[38],"in":[39,100,115,120],"determining":[40],"concentration.":[42],"this":[44,101,121],"paper,":[45],"we":[46],"propose":[47],"a":[48],"stenches":[49,70,118],"detection":[50],"system":[51],"composed":[52],"an":[54],"electronic":[55],"nose":[56],"machine":[58,110],"learning":[59],"algorithms":[60],"discriminate":[62],"five":[63,67],"typical":[64],"stenches.":[65],"These":[66],"chemicals":[68],"producing":[69],"are":[71],"2-phenylethyl":[72],"alcohol,":[73],"isovaleric":[74],"acid,":[75],"methylcyclopentanone,":[76],"\u03b3-undecalactone,":[77],"2-methylindole.":[79],"We":[80],"will":[81],"use":[82],"random":[83],"forest,":[84],"support":[85],"vector":[86,109],"machines,":[87],"backpropagation":[88],"neural":[89],"network,":[90],"principal":[91],"components":[92],"analysis":[93,98],"(PCA),":[94],"linear":[96],"discriminant":[97],"(LDA)":[99],"paper.":[102,122],"The":[103],"result":[104],"shows":[105],"that":[106],"LDA":[107],"(support":[108],"(SVM))":[111],"has":[112],"better":[113],"performance":[114],"detecting":[116],"considered":[119]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
