{"id":"https://openalex.org/W2898232689","doi":"https://doi.org/10.1145/3274783.3275192","title":"CitySense","display_name":"CitySense","publication_year":2018,"publication_date":"2018-10-26","ids":{"openalex":"https://openalex.org/W2898232689","doi":"https://doi.org/10.1145/3274783.3275192","mag":"2898232689"},"language":"en","primary_location":{"id":"doi:10.1145/3274783.3275192","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3274783.3275192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103336221","display_name":"Yue Mao","orcid":null},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Mao","raw_affiliation_strings":["School of Computer Science, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100358752","display_name":"Zeyu Zhang","orcid":"https://orcid.org/0000-0003-3376-7817"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyu Zhang","raw_affiliation_strings":["School of Computer Science, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052227712","display_name":"Hua Sun","orcid":"https://orcid.org/0000-0001-8233-7755"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hua Sun","raw_affiliation_strings":["School of Computer Science, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100350503","display_name":"Yang Chen","orcid":"https://orcid.org/0000-0003-4749-3060"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Chen","raw_affiliation_strings":["School of Computer Science, Fudan University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Fudan University, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"379","last_page":"380"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9858999848365784,"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/T11106","display_name":"Data Management and Algorithms","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.6917412281036377},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.5970064401626587},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5881022810935974},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5255124568939209},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5232490301132202},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4970753490924835},{"id":"https://openalex.org/keywords/smart-city","display_name":"Smart city","score":0.49077901244163513},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.4484420716762543},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4175302982330322},{"id":"https://openalex.org/keywords/aggregate-data","display_name":"Aggregate data","score":0.41503313183784485},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.38525426387786865},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24922841787338257},{"id":"https://openalex.org/keywords/internet-of-things","display_name":"Internet of Things","score":0.22114527225494385},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09614339470863342}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6917412281036377},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.5970064401626587},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5881022810935974},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5255124568939209},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5232490301132202},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4970753490924835},{"id":"https://openalex.org/C2777103469","wikidata":"https://www.wikidata.org/wiki/Q1231558","display_name":"Smart city","level":3,"score":0.49077901244163513},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.4484420716762543},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4175302982330322},{"id":"https://openalex.org/C2778058735","wikidata":"https://www.wikidata.org/wiki/Q4692253","display_name":"Aggregate data","level":2,"score":0.41503313183784485},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.38525426387786865},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24922841787338257},{"id":"https://openalex.org/C81860439","wikidata":"https://www.wikidata.org/wiki/Q251212","display_name":"Internet of Things","level":2,"score":0.22114527225494385},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09614339470863342},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3274783.3275192","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3274783.3275192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309612","display_name":"Natural Science Foundation of Shanghai","ror":null},{"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":4,"referenced_works":["https://openalex.org/W2006544310","https://openalex.org/W2167717532","https://openalex.org/W2552664786","https://openalex.org/W2789899890"],"related_works":["https://openalex.org/W2915637974","https://openalex.org/W591343008","https://openalex.org/W2013343313","https://openalex.org/W1539684430","https://openalex.org/W1853327011","https://openalex.org/W2371295515","https://openalex.org/W2121409501","https://openalex.org/W3202928283","https://openalex.org/W2463566895","https://openalex.org/W4294956381"],"abstract_inverted_index":{"Today's":[0],"cities":[1],"are":[2,36,126],"filled":[3],"with":[4],"sensors":[5],"to":[6,58,87,105,113,122,137],"get":[7,114],"real-time":[8],"data":[9,19,35,70,84,102,108,132,139],"on":[10],"all":[11,60],"aspects":[12],"of":[13,17,24,48,54,61,77,119],"the":[14,25,49,65,94,120],"city.":[15],"Each":[16],"these":[18,34,62],"sources":[20,109],"reflects":[21],"one":[22,75],"aspect":[23],"city":[26,31,95,101,111],"and":[27,43,134],"provides":[28],"support":[29],"for":[30,56],"computing.":[32],"However,":[33],"owned":[37],"by":[38],"different":[39,46],"organizations":[40],"or":[41],"companies":[42],"stored":[44],"in":[45,89,129],"locations":[47],"Internet.":[50],"It":[51],"takes":[52],"lots":[53],"efforts":[55],"researchers":[57,136],"obtained":[59],"data.":[63],"At":[64],"same":[66],"time,":[67],"a":[68,78,90,100,115,130],"single":[69,131],"set":[71],"can":[72],"only":[73],"represent":[74],"side":[76],"city's":[79],"activities,":[80],"but":[81],"combining":[82],"multiple":[83,141],"allows":[85],"us":[86],"stand":[88],"better":[91],"perspective":[92],"overlooking":[93],"we":[96],"study.":[97],"We":[98],"designed":[99],"aggregation":[103],"platform":[104],"aggregate":[106],"several":[107],"about":[110],"computing":[112],"more":[116],"comprehensive":[117],"understanding":[118],"city,":[121],"discover":[123],"pattern":[124],"that":[125],"not":[127],"reflected":[128],"set,":[133],"facilitate":[135],"access":[138],"from":[140],"sources.":[142]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2018-11-02T00:00:00"}