| Long-term prediction model of rockburst in underground openings using heuristic algorithms and support vector machines [ESI 1%] J Zhou*, X Li, X Shi Safety science 50 (4), 629-644, 2012 | 423 | 2012 |
| Classification of Rockburst in Underground Projects: Comparison of Ten Supervised Learning Methods [ESI 1%] J Zhou*, X Li, HS Mitri Journal of Computing in Civil Engineering, ASCE 30 (5), 04016003, 2016 | 398* | 2016 |
| Evaluation method of rockburst: State-of-the-art literature review [ESI 0.1%] J Zhou*, X Li, HS Mitri Tunnelling and Underground Space Technology 81, 632-659, 2018 | 387 | 2018 |
| A Comparative Study of PSO-ANN, GA-ANN, ICA-ANN, and ABC-ANN in Estimating the Heating Load of Buildings’ Energy Efficiency for Smart City Planning [ESI 1%] LT Le, H Nguyen, J Dou, J Zhou Applied Sciences 9 (13), 2630, 2019 | 311 | 2019 |
| Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration [ESI 1%] Y Qiu, J Zhou*, M Khandelwal*, H Yang, P Yang, C Li Engineering with Computers 38, 4145–4162, 2022 | 302 | 2022 |
| Some developments and new insights of environmental problems and deep mining strategy for cleaner production in mines [ESI 1%] L Dong, X Tong, X Li, J Zhou, S Wang, B Liu Journal of cleaner production 210, 1562-1578, 2019 | 283 | 2019 |
| Slope stability prediction for circular mode failure using gradient boosting machine approach based on an updated database of case histories [ESI 0.1%] J Zhou, E Li, S Yang*, M Wang, X Shi, S Yao, HS Mitri Safety Science 118, 505-518, 2019 | 281 | 2019 |
| Experimental Study of Slabbing and Rockburst Induced by True-Triaxial Unloading and Local Dynamic Disturbance [ESI 1%] K Du, M Tao, X Li, J Zhou Rock Mechanics and Rock Engineering 49, 3437–3453, 2016 | 276 | 2016 |
| Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate [ESI 1%] J Zhou*, Y Qiu, S Zhu, DJ Armaghani*, C Li, H Nguyen, S Yagiz Engineering Applications of Artificial Intelligence 97, 104015, 2021 | 266 | 2021 |
| Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques [ESI 0.1%] J Zhou*, Y Qiu, DJ Armaghani*, W Zhang, C Li, S Zhu, R Tarinejad Geoscience Frontiers 12 (3), 101091, 2021 | 238 | 2021 |
| Random Forests and Cubist Algorithms for Predicting Shear Strengths of Rockfill Materials [ESI 1%] J Zhou, E Li, H Wei*, C Li, Q Qiao, DJ Armaghani Applied Sciences 9 (8), 1621, 2019 | 227 | 2019 |
| Supervised machine learning techniques to the prediction of tunnel boring machine penetration rate [ESI 1%] H Xu, J Zhou, P G Asteris, D Jahed Armaghani, MM Tahir Applied sciences 9 (18), 3715, 2019 | 216 | 2019 |
| Feasibility of Random-Forest Approach for Prediction of Ground Settlements Induced by the Construction of a Shield-Driven Tunnel J Zhou*, X Shi, K Du, X Qiu, X Li, HS Mitri International Journal of Geomechanics, ASCE 17 (6), 04016129, 2017 | 210 | 2017 |
| Comparative performance of six supervised learning methods for the development of models of hard rock pillar stability prediction J Zhou*, X Li, HS Mitri Natural Hazards 79 (1), 291-316, 2015 | 205 | 2015 |
| Estimation of the TBM advance rate under hard rock conditions using XGBoost and Bayesian optimization [ESI 0.1%] J Zhou*, Y Qiu, S Zhu, DJ Armaghani*, M Khandelwal, ET Mohamad Underground Space 6 (5), 506-515, 2021 | 189 | 2021 |
| Prediction of ground vibration induced by blasting operations through the use of the Bayesian Network and random forest models [ESI 0.1%] J Zhou, PG Asteris, DJ Armaghani, BT Pham Soil Dynamics and Earthquake Engineering 139, 106390, 2020 | 179 | 2020 |
| Support vector machines approach to mean particle size of rock fragmentation due to bench blasting prediction X Shi, J Zhou, B Wu, D Huang, W Wei Transactions of Nonferrous Metals Society of China 22 (2), 432-441, 2012 | 166 | 2012 |
| Developing a hybrid model of Jaya algorithm-based extreme gradient boosting machine to estimate blast-induced ground vibrations [ESI 0.1%] J Zhou, Y Qiu, M Khandelwal, S Zhu, X Zhang International Journal of Rock Mechanics and Mining Sciences 145, 104856, 2021 | 164 | 2021 |
| Review and practice of deep mining for solid mineral resources X Li, J Zhou, S Wang, B Liu The Chinese Journal of Nonferrous Metals 27 (6), 1236-1262, 2017 | 158* | 2017 |
| Deep neural network and whale optimization algorithm to assess flyrock induced by blasting [ESI 0.1%] H Guo, J Zhou*, M Koopialipoor, DJ Armaghani*, MM Tahir Engineering with Computers 37, 173–186, 2021 | 148 | 2021 |
Danial Jahed ArmaghaniUniversity of Technology SydneyVerified email at uts.edu.au
