{"id":"https://openalex.org/W2959587919","doi":"https://doi.org/10.1007/s00521-019-04341-3","title":"Applications of deep convolutional neural networks in prospecting prediction based on two-dimensional geological big data","display_name":"Applications of deep convolutional neural networks in prospecting prediction based on two-dimensional geological big data","publication_year":2019,"publication_date":"2019-07-11","ids":{"openalex":"https://openalex.org/W2959587919","doi":"https://doi.org/10.1007/s00521-019-04341-3","mag":"2959587919"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-019-04341-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-019-04341-3","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":"Neural Computing and Applications","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/A5100430764","display_name":"Shi Li","orcid":"https://orcid.org/0000-0001-7237-8932"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi Li","raw_affiliation_strings":["Land Resources Information Development and Research Key Laboratory of Beijing, Beijing, 100083, China","School of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing, 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Land Resources Information Development and Research Key Laboratory of Beijing, Beijing, 100083, China","institution_ids":["https://openalex.org/I211433327"]},{"raw_affiliation_string":"School of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing, 100083, China","institution_ids":["https://openalex.org/I3125743391"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114339906","display_name":"Jianping Chen","orcid":"https://orcid.org/0000-0003-1503-4679"},"institutions":[{"id":"https://openalex.org/I211433327","display_name":"Ministry of Natural Resources","ror":"https://ror.org/02kxqx159","country_code":"CN","type":"government","lineage":["https://openalex.org/I211433327","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I3125743391","display_name":"China University of Geosciences (Beijing)","ror":"https://ror.org/04q6c7p66","country_code":"CN","type":"education","lineage":["https://openalex.org/I3125743391"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jianping Chen","raw_affiliation_strings":["Land Resources Information Development and Research Key Laboratory of Beijing, Beijing, 100083, China","School of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing, 100083, China"],"raw_orcid":"https://orcid.org/0000-0003-1503-4679","affiliations":[{"raw_affiliation_string":"Land Resources Information Development and Research Key Laboratory of Beijing, Beijing, 100083, China","institution_ids":["https://openalex.org/I211433327"]},{"raw_affiliation_string":"School of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing, 100083, China","institution_ids":["https://openalex.org/I3125743391"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081556345","display_name":"Jie Xiang","orcid":"https://orcid.org/0000-0001-5437-1884"},"institutions":[{"id":"https://openalex.org/I4210091612","display_name":"Beijing Institute of Geology for Mineral Resources","ror":"https://ror.org/00cq3qn16","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210091612"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Xiang","raw_affiliation_strings":["MNR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, CAGS, Beijing, 100037, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MNR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, CAGS, Beijing, 100037, China","institution_ids":["https://openalex.org/I4210091612"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5114339906"],"corresponding_institution_ids":["https://openalex.org/I211433327","https://openalex.org/I3125743391"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":null,"fwci":7.2646,"has_fulltext":false,"cited_by_count":104,"citation_normalized_percentile":{"value":0.97425152,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"32","issue":"7","first_page":"2037","last_page":"2053"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12157","display_name":"Geochemistry and Geologic Mapping","score":0.9998999834060669,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6389173269271851},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5831989049911499},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5768897533416748},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5386488437652588},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.527317464351654},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5070173740386963},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.5010278224945068},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4724472165107727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4676145315170288},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4482019543647766},{"id":"https://openalex.org/keywords/prospecting","display_name":"Prospecting","score":0.4168659746646881},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3894685208797455},{"id":"https://openalex.org/keywords/mining-engineering","display_name":"Mining engineering","score":0.3251875340938568}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6389173269271851},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5831989049911499},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5768897533416748},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5386488437652588},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.527317464351654},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5070173740386963},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.5010278224945068},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4724472165107727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4676145315170288},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4482019543647766},{"id":"https://openalex.org/C175181221","wikidata":"https://www.wikidata.org/wiki/Q1650350","display_name":"Prospecting","level":2,"score":0.4168659746646881},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3894685208797455},{"id":"https://openalex.org/C16674752","wikidata":"https://www.wikidata.org/wiki/Q1370637","display_name":"Mining engineering","level":1,"score":0.3251875340938568},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00521-019-04341-3","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00521-019-04341-3","pdf_url":null,"source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":"Neural Computing and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W598667868","https://openalex.org/W826750856","https://openalex.org/W2009067114","https://openalex.org/W2025629945","https://openalex.org/W2092891881","https://openalex.org/W2098397292","https://openalex.org/W2100495367","https://openalex.org/W2159128662","https://openalex.org/W2348147764","https://openalex.org/W2376423759","https://openalex.org/W2377958450","https://openalex.org/W2382130874","https://openalex.org/W2385367112","https://openalex.org/W2405720079","https://openalex.org/W2478818565","https://openalex.org/W2614041301","https://openalex.org/W2751843374","https://openalex.org/W2753534717","https://openalex.org/W2767155774","https://openalex.org/W2892089952","https://openalex.org/W2941876699","https://openalex.org/W2962744952","https://openalex.org/W3034746820"],"related_works":["https://openalex.org/W2368290785","https://openalex.org/W2385276502","https://openalex.org/W2390440867","https://openalex.org/W2366814430","https://openalex.org/W2737137186","https://openalex.org/W2365166293","https://openalex.org/W4226493464","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":20},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}