CrushSCI.com
239.5Average days
269Median days
94Fastest days
412Longest days
1692025 publications

Paper Review Records

All Paper Review Records

15 valid samples · Newest publication first
Review days = acceptance date − received date. PDF, DOI, and publisher-page sources are retained.

295 days

Gas Concentration Prediction Model with the Multi-scale and Multi-factor Based on GMKNet

Authors
XingYu Gong; RongKun Jiang; Yu Guan; Yi Yang; Na LiShow moreShow less
Affiliations
1. School of Artificial Intelligence and Computer Science, Xi’an University of Science and Technology, Xi’an, ChinaShow moreShow less
Source PDF DOI Publisher page
318 days

Quantitative Mineral Resource Assessment of Lithium Pegmatite Deposits in the Southern Appalachian Orogen

Authors
Joshua M. Rosera; Kelsey E. Crocker; Laura S. Pianowski; Jacob T. Murchek; Ashton M. Wiens; Margaret M. Sanders; Lucas L. Evart; Jacob DeAngelo; Graham W. Lederer; Joshua A. CoyanShow moreShow less
Affiliations
1. U.S. Geological Survey, Geology, Energy & Minerals Science Center, Reston, USA; 2. U.S. Geological Survey, Geology, Minerals, Energy, and Geophysics Science Center, Spokane, USA; 3. U.S. Geological Survey, Geology, Geophysics, and Geochemistry Science Center, Denver, USA; 4. U.S. Geological Survey, Geology, Minerals, Energy, and Geophysics Science Center, Moffett Field, USAShow moreShow less
Source PDF DOI Publisher page
296 days

Evaluation and Interpretation of Blast-Induced Rock Movement During Open-Pit Bench Blasting: Use of a LGBM Hybrid Model

Authors
Zhi Yu; Linfeng Du; Xiaofeng Huo; Song He; Jianhua Hu; Jian ZhouShow moreShow less
Affiliations
1. Zijin School of Geology and Mining, Fuzhou University, Fuzhou, China; 2. Oulu Mining School, University of Oulu, Oulu, Finland; 3. School of Resources and Safety Engineering, Central South University, Changsha, China; 4. Xinjiang Zhongyan Hengtai Blasting Engineering Co., Ltd, Urumqi, ChinaShow moreShow less
Source PDF DOI Publisher page
284 days

Three-Dimensional Mineral Prospectivity Mapping by a Gradient Boosting-Based Integrated Learning Method with Data Representation Adaptability: A Case Study of the Haopinggou Gold Polymetallic Deposit, China

Authors
Mingjing Fan; Keyan Xiao; Li Sun; Nan Li; Yang Xu; Wenjie LiShow moreShow less
Affiliations
1. Tianjin Center, China, Geological Survey (North China of Geoscience Innovation), Tianjin, China; 2. SinoProbe Laboratory, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing, China; 3. School of Earth Sciences and Resources, China University of Geosciences (Beijing), Beijing, China; 4. Henan Faende Metal Mineral Company Ltd., Luoyang, ChinaShow moreShow less
Source PDF DOI Publisher page
269 days

Quantitative Mineral Resource Assessment of Lithium Pegmatite Deposits in the Northern Appalachian Orogen, USA

Authors
Niki E. Wintzer; Christopher S. Holm-Denoma; Jacob E. Poletti; Dalton M. McCaffrey; Stanley P. Mordensky; Erik R. Tharalson; Collin Cronkite-RatcliffShow moreShow less
Affiliations
1. U.S. Geological Survey, Geology, Minerals, Energy, and Geophysics Science Center, Spokane, USA; 2. U.S. Geological Survey, Geology, Geophysics, and Geochemistry Science Center, Denver, USA; 3. U.S. Geological Survey, National Minerals Information Center, Reston, USA; 4. U.S. Geological Survey, Geology, Minerals, Energy, and Geophysics Science Center, Moffett Field, USAShow moreShow less
Source PDF DOI Publisher page
233 days

Improved Reservoir Lithology Estimation on Hybrid PSO-Transformer-CNN1D Modeling for CO 2 Sequestration Using Well Log Data

Authors
Elieneza Nicodemus Abelly; Feng Yang; Allou Koffi Franck Kouassi; He Zheng; Erasto E. Kasala; Grant Charles Mwakipunda; Wakeel Hussain; Christopher Nyangi MkonoShow moreShow less
Affiliations
1. Key Laboratory of Tectonics and Petroleum Resources of Ministry of Education, China University of Geosciences (Wuhan), Wuhan, People’s Republic of China; 2. Laboratory of Geographical Sciences in Civil Engineering and Geosciences, Graduate School of Chemistry, Petroleum, and Energy (ESCPE), Félix Houphouët-Boigny National Polytechnic Institute (INP-HB), Yamoussoukro, République de Côte d’Ivoire; 3. Department of Civil and Environmental Engineering, College of Engineering, Qatar University, Doha, Qatar; 4. Department of Geotechnical Engineering, College of Civil Engineering, Tongji University, Shanghai, People’s Republic of China; 5. School of Marine Science and Engineering, South China University of Technology, Guangzhou, People’s Republic of ChinaShow moreShow less
Source PDF DOI Publisher page

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Machine Learning and Life-Cycle Assessment for Predicting and Optimizing Carbon Emissions in Urban Wastewater Treatment

SampleLatest 5 valid paper samples from 2026

Average review62 days

Median65 days

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