{"id":"https://openalex.org/W4285407688","doi":"https://doi.org/10.1109/smartcomp55677.2022.00022","title":"SmartWaterSens: A Crowdsensing-based Approach to Groundwater Contamination Estimation","display_name":"SmartWaterSens: A Crowdsensing-based Approach to Groundwater Contamination Estimation","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W4285407688","doi":"https://doi.org/10.1109/smartcomp55677.2022.00022"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartcomp55677.2022.00022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5074191748","display_name":"Lanyu Shang","orcid":"https://orcid.org/0000-0002-7480-6889"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lanyu Shang","raw_affiliation_strings":["School of Information Sciences, University of Illinois at Urbana-Champaign, Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"School of Information Sciences, University of Illinois at Urbana-Champaign, Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354592","display_name":"Yang Zhang","orcid":"https://orcid.org/0000-0001-8135-369X"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Notre Dame, Notre Dame, IN, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042405316","display_name":"Quanhui Ye","orcid":"https://orcid.org/0000-0002-5458-6452"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Quanhui Ye","raw_affiliation_strings":["Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066245492","display_name":"Na Wei","orcid":"https://orcid.org/0000-0003-2093-3441"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Na Wei","raw_affiliation_strings":["Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100391517","display_name":"Dong Wang","orcid":"https://orcid.org/0000-0002-9599-8023"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Wang","raw_affiliation_strings":["School of Information Sciences, University of Illinois at Urbana-Champaign, Champaign, IL, USA"],"affiliations":[{"raw_affiliation_string":"School of Information Sciences, University of Illinois at Urbana-Champaign, Champaign, IL, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.73,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.738515,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":76,"max":80},"biblio":{"volume":null,"issue":null,"first_page":"48","last_page":"55"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9985,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9985,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9861,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9846,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.43933177}],"concepts":[{"id":"https://openalex.org/C76177295","wikidata":"https://www.wikidata.org/wiki/Q161598","display_name":"Groundwater","level":2,"score":0.80644315},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.6894437},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5976317},{"id":"https://openalex.org/C112570922","wikidata":"https://www.wikidata.org/wiki/Q60528603","display_name":"Contamination","level":2,"score":0.5486801},{"id":"https://openalex.org/C2776384668","wikidata":"https://www.wikidata.org/wiki/Q182168","display_name":"Nitrate","level":2,"score":0.48928115},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47059333},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.43933177},{"id":"https://openalex.org/C76886044","wikidata":"https://www.wikidata.org/wiki/Q2883300","display_name":"Hydrology (agriculture)","level":2,"score":0.37732667},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1667681},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1166541},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.106294364},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.06898731},{"id":"https://openalex.org/C187320778","wikidata":"https://www.wikidata.org/wiki/Q1349130","display_name":"Geotechnical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/smartcomp55677.2022.00022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life on land","id":"https://metadata.un.org/sdg/15","score":0.53}],"grants":[{"funder":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation","award_id":"CHE-2105032,IIS-2008228,CNS-1845639,CNS-1831669"}],"datasets":[],"versions":[],"referenced_works_count":36,"referenced_works":["https://openalex.org/W1856219842","https://openalex.org/W1967647772","https://openalex.org/W2321707316","https://openalex.org/W2413424129","https://openalex.org/W2442202779","https://openalex.org/W2604314403","https://openalex.org/W2760673869","https://openalex.org/W2790308540","https://openalex.org/W2849998820","https://openalex.org/W2888652505","https://openalex.org/W2901606966","https://openalex.org/W2909020010","https://openalex.org/W2914427239","https://openalex.org/W2916752133","https://openalex.org/W2922051790","https://openalex.org/W2980658109","https://openalex.org/W2981983719","https://openalex.org/W2987172004","https://openalex.org/W2991559313","https://openalex.org/W2999018093","https://openalex.org/W3007135535","https://openalex.org/W3008934122","https://openalex.org/W3009959262","https://openalex.org/W3023522186","https://openalex.org/W3085375909","https://openalex.org/W3088611441","https://openalex.org/W3091970714","https://openalex.org/W3094272667","https://openalex.org/W3117699921","https://openalex.org/W3157728183","https://openalex.org/W3165568892","https://openalex.org/W3196386914","https://openalex.org/W3212301219","https://openalex.org/W3217015895","https://openalex.org/W4206269069","https://openalex.org/W4253271685"],"related_works":["https://openalex.org/W4246525302","https://openalex.org/W281735054","https://openalex.org/W2766681990","https://openalex.org/W2565462584","https://openalex.org/W2554448166","https://openalex.org/W2355749553","https://openalex.org/W2327028314","https://openalex.org/W2089984573","https://openalex.org/W2070278412","https://openalex.org/W1533753578"],"abstract_inverted_index":{"Groundwater":[0],"contamination":[1,19,92,103,113,142,164],"poses":[2],"serious":[3],"threats":[4],"to":[5,75,149],"public":[6],"health":[7],"and":[8,43,55,105,144],"environmental":[9],"sustainability.":[10],"In":[11,57],"this":[12,58],"paper,":[13],"we":[14,60,123],"study":[15,171],"the":[16,27,50,62,89,96,100,107,115,120,135,157,186,198],"smart":[17],"groundwater":[18,31,41,47,81,91,102,112,141,152,204],"sensing":[20],"problem":[21],"that":[22,132],"aims":[23],"at":[24],"accurately":[25,76,150,191],"estimating":[26,192],"nitrate":[28,64,78,153,163,193],"concentration":[29,65,79,194],"in":[30,80,87,172,175,190],"via":[32],"a":[33,126,161,168],"crowdsensing":[34,101,140,162,201],"approach.":[35],"Existing":[36],"solutions":[37],"often":[38],"require":[39],"professional":[40],"collection":[42,52],"high-quality":[44],"measurement":[45],"of":[46,99,111,139,188,200],"properties,":[48],"making":[49],"data":[51,143],"process":[53],"time-consuming":[54],"unscalable.":[56],"work,":[59],"leverage":[61],"approximate":[63],"measured":[66],"by":[67],"crowd":[68],"sensors":[69],"(i.e.,":[70],"participants":[71],"from":[72,167],"well-dependent":[73,173],"communities)":[74],"estimate":[77,151],"samples.":[82],"Two":[83],"critical":[84],"challenges":[85],"exist":[86],"developing":[88],"crowdsensing-based":[90],"estimation":[93],"solution:":[94],"i)":[95],"spatial":[97,137],"irregularity":[98],"data,":[104],"ii)":[106],"hidden":[108],"temporal":[109],"dependency":[110],"on":[114],"anthropogenic":[116,147],"context.":[117],"To":[118],"address":[119],"above":[121],"challenges,":[122],"develop":[124],"SmartWaterSens,":[125],"context-aware":[127],"graph":[128],"neural":[129],"network":[130],"framework":[131,159],"explicitly":[133],"models":[134],"irregular":[136],"relations":[138],"its":[145],"relevant":[146],"context":[148],"concentration.":[154],"We":[155],"evaluate":[156],"SmartWaterSens":[158,189],"through":[160],"dataset":[165],"collected":[166],"real-world":[169],"case":[170],"communities":[174],"Northern":[176],"Indiana,":[177],"United":[178],"States.":[179],"The":[180],"evaluation":[181],"results":[182],"not":[183],"only":[184],"show":[185],"effectiveness":[187],"but":[195],"also":[196],"demonstrate":[197],"viability":[199],"for":[202],"community-level":[203],"quality":[205],"monitoring.":[206]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4285407688","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2024-12-10T09:53:55.922941","created_date":"2022-07-14"}