{"id":"https://openalex.org/W3013473206","doi":"https://doi.org/10.1007/s10489-020-01688-2","title":"A hybrid model of convolutional neural networks and deep regression forests for crowd counting","display_name":"A hybrid model of convolutional neural networks and deep regression forests for crowd counting","publication_year":2020,"publication_date":"2020-03-25","ids":{"openalex":"https://openalex.org/W3013473206","doi":"https://doi.org/10.1007/s10489-020-01688-2","mag":"3013473206"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-020-01688-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-020-01688-2","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","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/A5039951888","display_name":"Qingge Ji","orcid":"https://orcid.org/0000-0002-1207-2410"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingge Ji","raw_affiliation_strings":["Guangdong Province Key Laboratory of Big Data Analysis and Processing, Guangzhou, 510006, China","School of Data and Computer Science, Sun Yat-sen University, Guangzhou, 510006, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Province Key Laboratory of Big Data Analysis and Processing, Guangzhou, 510006, China","institution_ids":[]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103940226","display_name":"Ting Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Zhu","raw_affiliation_strings":["Guangdong Province Key Laboratory of Big Data Analysis and Processing, Guangzhou, 510006, China","School of Data and Computer Science, Sun Yat-sen University, Guangzhou, 510006, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Province Key Laboratory of Big Data Analysis and Processing, Guangzhou, 510006, China","institution_ids":[]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001252797","display_name":"Di Bao","orcid":"https://orcid.org/0000-0001-8305-7579"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Bao","raw_affiliation_strings":["Guangdong Province Key Laboratory of Big Data Analysis and Processing, Guangzhou, 510006, China","School of Data and Computer Science, Sun Yat-sen University, Guangzhou, 510006, China"],"affiliations":[{"raw_affiliation_string":"Guangdong Province Key Laboratory of Big Data Analysis and Processing, Guangzhou, 510006, China","institution_ids":[]},{"raw_affiliation_string":"School of Data and Computer Science, Sun Yat-sen University, Guangzhou, 510006, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039951888"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":0.8793,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.75588156,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"50","issue":"9","first_page":"2818","last_page":"2832"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9987999796867371,"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/T12597","display_name":"Fire Detection and Safety Systems","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8965280055999756},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7754296660423279},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6103237271308899},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5954369306564331},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45964622497558594},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.45200178027153015},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.400158166885376},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.262045681476593},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.051661282777786255}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8965280055999756},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7754296660423279},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6103237271308899},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5954369306564331},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45964622497558594},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.45200178027153015},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.400158166885376},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.262045681476593},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.051661282777786255}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-020-01688-2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-020-01688-2","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W295732247","https://openalex.org/W1533861849","https://openalex.org/W1536680647","https://openalex.org/W1608462934","https://openalex.org/W1910776219","https://openalex.org/W1976959044","https://openalex.org/W1978232622","https://openalex.org/W1978373643","https://openalex.org/W2022505761","https://openalex.org/W2031454541","https://openalex.org/W2058907003","https://openalex.org/W2072232009","https://openalex.org/W2075875861","https://openalex.org/W2078106735","https://openalex.org/W2089181482","https://openalex.org/W2091887928","https://openalex.org/W2097324787","https://openalex.org/W2120815373","https://openalex.org/W2123175289","https://openalex.org/W2123533187","https://openalex.org/W2130822989","https://openalex.org/W2143043044","https://openalex.org/W2143122210","https://openalex.org/W2153110463","https://openalex.org/W2158979073","https://openalex.org/W2164990725","https://openalex.org/W2168356304","https://openalex.org/W2207893099","https://openalex.org/W2343818649","https://openalex.org/W2394843433","https://openalex.org/W2463631526","https://openalex.org/W2514654788","https://openalex.org/W2519281173","https://openalex.org/W2520826941","https://openalex.org/W2522485430","https://openalex.org/W2586716774","https://openalex.org/W2604785935","https://openalex.org/W2729018917","https://openalex.org/W2741077351","https://openalex.org/W2751445731","https://openalex.org/W2800827505","https://openalex.org/W2891338153","https://openalex.org/W2909188264","https://openalex.org/W2962832028","https://openalex.org/W2962958773","https://openalex.org/W2963037989","https://openalex.org/W2963878055","https://openalex.org/W3097096317","https://openalex.org/W6725625149"],"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/W2621086889","https://openalex.org/W3174513558"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}