| Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration Y Qiu, J Zhou, M Khandelwal, H Yang, P Yang, C Li Engineering with Computers 38 (Suppl 5), 4145-4162, 2022 | 332 | 2022 |
| Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate J Zhou, Y Qiu, S Zhu, DJ Armaghani, C Li, H Nguyen, S Yagiz Engineering Applications of Artificial Intelligence 97, 104015, 2021 | 276 | 2021 |
| Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques J Zhou, Y Qiu, DJ Armaghani, W Zhang, C Li, S Zhu, R Tarinejad Geoscience Frontiers 12 (3), 101091, 2021 | 245 | 2021 |
| Estimation of the TBM advance rate under hard rock conditions using XGBoost and Bayesian optimization J Zhou, Y Qiu, S Zhu, DJ Armaghani, M Khandelwal, ET Mohamad Underground Space 6 (5), 506-515, 2021 | 201 | 2021 |
| Developing a hybrid model of Jaya algorithm-based extreme gradient boosting machine to estimate blast-induced ground vibrations J Zhou, Y Qiu, M Khandelwal, S Zhu, X Zhang International Journal of Rock Mechanics and Mining Sciences 145, 104856, 2021 | 170 | 2021 |
| Predicting tunnel squeezing using support vector machine optimized by whale optimization algorithm J Zhou, S Zhu, Y Qiu, DJ Armaghani, A Zhou, W Yong Acta Geotechnica 17 (4), 1343-1366, 2022 | 118 | 2022 |
| Performance evaluation of hybrid GA–SVM and GWO–SVM models to predict earthquake-induced liquefaction potential of soil: a multi-dataset investigation J Zhou, S Huang, M Wang, Y Qiu Engineering with Computers, 1-19, 2022 | 107 | 2022 |
| Optimization of random forest through the use of MVO, GWO and MFO in evaluating the stability of underground entry-type excavations J Zhou, S Huang, Y Qiu Tunnelling and Underground Space Technology 124, 104494, 2022 | 103 | 2022 |
| Employing a genetic algorithm and grey wolf optimizer for optimizing RF models to evaluate soil liquefaction potential J Zhou, S Huang, T Zhou, DJ Armaghani, Y Qiu Artificial intelligence review 55 (7), 5673-5705, 2022 | 96 | 2022 |
| A hybrid metaheuristic approach using random forest and particle swarm optimization to study and evaluate backbreak in open-pit blasting Y Dai, M Khandelwal, Y Qiu, J Zhou, M Monjezi, P Yang Neural Computing and Applications, 1-16, 2022 | 70 | 2022 |
| Short-term rockburst prediction in underground project: Insights from an explainable and interpretable ensemble learning model Y Qiu, J Zhou Acta Geotechnica 18 (12), 6655-6685, 2023 | 58 | 2023 |
| Performance of hybrid SCA-RF and HHO-RF models for predicting backbreak in open-pit mine blasting operations J Zhou, Y Dai, M Khandelwal, M Monjezi, Z Yu, Y Qiu Natural Resources Research 30, 4753-4771, 2021 | 57 | 2021 |
| Six novel hybrid extreme learning machine–swarm intelligence optimization (ELM–SIO) models for predicting backbreak in open-pit blasting C Li, J Zhou, M Khandelwal, X Zhang, M Monjezi, Y Qiu Natural Resources Research 31 (5), 3017-3039, 2022 | 53 | 2022 |
| 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), 89, 2021 | 52 | 2021 |
| Short-term rockburst damage assessment in burst-prone mines: an explainable XGBOOST hybrid model with SCSO algorithm Y Qiu, J Zhou Rock Mechanics and Rock Engineering 56 (12), 8745-8770, 2023 | 50 | 2023 |
| Cross-correlation stacking-based microseismic source location using three metaheuristic optimization algorithms J Zhou, X Shen, Y Qiu, X Shi, M Khandelwal Tunnelling and Underground Space Technology 126, 104570, 2022 | 45 | 2022 |
| COSMA-RF: New intelligent model based on chaos optimized slime mould algorithm and random forest for estimating the peak cutting force of conical picks J Zhou, Y Dai, K Du, M Khandelwal, C Li, Y Qiu Transportation Geotechnics 36, 100806, 2022 | 40 | 2022 |
| Performance evaluation of rockburst prediction based on PSO-SVM, HHO-SVM, and MFO-SVM hybrid models J Zhou, P Yang, P Peng, M Khandelwal, Y Qiu Mining, Metallurgy & Exploration 40 (2), 617-635, 2023 | 39 | 2023 |
| Intelligent modeling of blast-induced rock movement prediction using dimensional analysis and optimized artificial neural network technique Z Yu, X Shi, X Miao, J Zhou, M Khandelwal, X Chen, Y Qiu International Journal of Rock Mechanics and Mining Sciences 143, 104794, 2021 | 38 | 2021 |
| Machine learning models to predict the tunnel wall convergence J Zhou, Y Chen, C Li, Y Qiu, S Huang, M Tao Transportation Geotechnics 41, 101022, 2023 | 31 | 2023 |
Jian ZhouProfessor, School of Resources and Safety Engineering, Central South UniversityVerified email at csu.edu.cn