| Slope stability prediction for circular mode failure using gradient boosting machine approach based on an updated database of case histories J Zhou, E Li, S Yang, M Wang, X Shi, S Yao, HS Mitri Safety Science 118, 505-518, 2019 | 248 | 2019 |
| Random forests and cubist algorithms for predicting shear strengths of rockfill materials J Zhou, E Li, H Wei, C Li, Q Qiao, DJ Armaghani Applied Sciences 9 (8), 1621, 2019 | 207 | 2019 |
| Developing a hybrid model of salp swarm algorithm-based support vector machine to predict the strength of fiber-reinforced cemented paste backfill E Li, J Zhou, X Shi, D Jahed Armaghani, Z Yu, X Chen, P Huang Engineering with Computers 37 (4), 3519-3540, 2021 | 119 | 2021 |
| Feasibility of stochastic gradient boosting approach for evaluating seismic liquefaction potential based on SPT and CPT case histories J Zhou, E Li, M Wang, X Chen, X Shi, L Jiang Journal of Performance of Constructed Facilities 33 (3), 04019024, 2019 | 119 | 2019 |
| Compressive behavior and microstructural properties of tailings polypropylene fibre-reinforced cemented paste backfill X Chen, X Shi, J Zhou, Q Chen, E Li, X Du Construction and Building Materials 190, 211-221, 2018 | 99 | 2018 |
| Prediction of rockburst risk in underground projects developing a neuro-bee intelligent system J Zhou, M Koopialipoor, E Li, DJ Armaghani Bulletin of Engineering Geology and the Environment 79, 4265-4279, 2020 | 78 | 2020 |
| Prediction of blasting mean fragment size using support vector regression combined with five optimization algorithms E Li, F Yang, M Ren, X Zhang, J Zhou, M Khandelwal Journal of Rock Mechanics and Geotechnical Engineering 13 (6), 1380-1397, 2021 | 75 | 2021 |
| High strain rate compressive strength behavior of cemented paste backfill using split Hopkinson pressure bar X Chen, X Shi, J Zhou, E Li, P Qiu, Y Gou International Journal of Mining Science and Technology 31 (3), 387-399, 2021 | 50 | 2021 |
| Improving the efficiency of microseismic source locating using a heuristic algorithm-based virtual field optimization method J Zhou, X Shen, Y Qiu, E Li, D Rao, X Shi Geomechanics and Geophysics for Geo-Energy and Geo-Resources 7 (3), 1-18, 2021 | 49 | 2021 |
| Development of hybrid models using metaheuristic optimization techniques to predict the carbonation depth of fly ash concrete R Biswas, E Li, N Zhang, S Kumar, B Rai, J Zhou Construction and Building Materials 346, 128483, 2022 | 19 | 2022 |
| Unraveling the Global Warming Mitigation Potential from Recycling Subway‐Related Excavated Soil and Rock in China Via Life Cycle Assessment N Zhang, H Zhang, G Schiller, H Feng, X Gao, E Li, X Li Integrated Environmental Assessment and Management 17 (3), 639-650, 2021 | 19 | 2021 |
| Rock mass structural recognition from drill monitoring technology in underground mining using discontinuity index and machine learning techniques A Fernández, JA Sanchidrián, P Segarra, S Gómez, E Li, R Navarro International Journal of Mining Science and Technology 33 (5), 555-571, 2023 | 14 | 2023 |
| LGBM-based modeling scenarios to compressive strength of recycled aggregate concrete with SHAP analysis B Xi, E Li, Y Fissha, J Zhou, P Segarra Mechanics of Advanced Materials and Structures, 1-16, 2023 | 9 | 2023 |
| Artificial Neural Network Modeling as an Approach to Limestone Blast Production Rate Prediction: a Comparison of PI-BANN and MVR Models BO Taiwo, G Angesom, Y Fissha, Y Kide, E Li, K Haile, OA Oni Journal of Mining and Environment 14 (2), 375-388, 2023 | 6 | 2023 |
| Classification of seismic-liquefaction potential using Friedman’s stochastic gradient boosting based on the cone penetration test data J Zhou, X Chen, M Wang, E Li, H Chen, X Shi Civil Infrastructures Confronting Severe Weathers and Climate Changes …, 2018 | 4 | 2018 |
| Compressive strength prediction and optimization design of sustainable concrete based on squirrel search algorithm-extreme gradient boosting technique E Li, N Zhang, B Xi, J Zhou, X Gao Frontiers of Structural and Civil Engineering 17 (9), 1310-1325, 2024 | 3 | 2024 |
| Application of percentile color intensities of borehole images for automatic fluorite grade assessment E Li, P Segarra, JA Sanchidrián, S Gómez, A Fernández, R Navarro, ... Ore Geology Reviews, 105790, 2023 | 3 | 2023 |
| Circular use of fine-grained tailings to underground mine wind walls E Li, B Xi, N Zhang, X Shi, J Zhou, P Segarra, H Wang Circular Economy, 100053, 2023 | 3 | 2023 |
| Fragmentation by blasting size prediction using SVR-GOA and SVR-KHA techniques E Li, J Zhou, R Biswas, ZEME Ahmed Applications of Artificial Intelligence in Mining, Geotechnical and …, 2024 | | 2024 |
| Intelligent prediction of engineered cementitious composites with limestone calcined clay cement (LC3-ECC) compressive strength based on novel machine learning techniques E Li, N Zhang, B Xi, VWY Tam, J Wang, J Zhou Computers and Concrete 32 (6), 577, 2023 | | 2023 |
Jian ZhouProfessor, School of Resources and Safety Engineering, Central South Universityبريد إلكتروني تم التحقق منه على csu.edu.cn
