Chongchong Qi (齐冲冲)
Title
Cited by
Cited by
Year
Recycling phosphogypsum and construction demolition waste for cemented paste backfill and its environmental impact
Q Chen, Q Zhang, C Qi, A Fourie, C Xiao
Journal of Cleaner Production 186, 418-429, 2018
1322018
Neural network and particle swarm optimization for predicting the unconfined compressive strength of cemented paste backfill
C Qi, A Fourie, Q Chen
Construction and Building Materials 159, 473-478, 2018
1282018
Cemented paste backfill for mineral tailings management: Review and future perspectives
C Qi, A Fourie
Minerals Engineering 144, 106025, 2019
1212019
A strength prediction model using artificial intelligence for recycling waste tailings as cemented paste backfill
C Qi, A Fourie, Q Chen, Q Zhang
Journal of Cleaner Production 183, 566-578, 2018
892018
Experimental investigation on the relationship between pore characteristics and unconfined compressive strength of cemented paste backfill
L Liu, Z Fang, C Qi, B Zhang, L Guo, KIIL Song
Construction and Building Materials 179, 254-264, 2018
832018
A new procedure for recycling waste tailings as cemented paste backfill to underground stopes and open pits
H Lu, C Qi, Q Chen, D Gan, Z Xue, Y Hu
Journal of Cleaner Production 188, 601-612, 2018
762018
A spatially explicit deep learning neural network model for the prediction of landslide susceptibility
D Van Dao, A Jaafari, M Bayat, D Mafi-Gholami, C Qi, H Moayedi, ...
Catena 188, 104451, 2020
712020
Slope stability prediction using integrated metaheuristic and machine learning approaches: a comparative study
C Qi, X Tang
Computers & Industrial Engineering 118, 112-122, 2018
712018
Experimental investigation on the strength characteristics of cement paste backfill in a similar stope model and its mechanism
Q Chen, Q Zhang, A Fourie, X Chen, C Qi
Construction and Building Materials 154, 34-43, 2017
692017
An intelligent modelling framework for mechanical properties of cemented paste backfill
C Qi, Q Chen, A Fourie, Q Zhang
Minerals Engineering 123, 16-27, 2018
632018
Big data management in the mining industry
C Qi
International Journal of Minerals, Metallurgy and Materials 27 (2), 131-139, 2020
622020
Numerical study on the pipe flow characteristics of the cemented paste backfill slurry considering hydration effects
L Liu, Z Fang, C Qi, B Zhang, L Guo, KIIL Song
Powder Technology 343, 454-464, 2019
542019
Towards Intelligent Mining for Backfill: A genetic programming-based method for strength forecasting of cemented paste backfill
C Qi, X Tang, X Dong, Q Chen, A Fourie, E Liu
Minerals Engineering 133, 69-79, 2019
532019
A microstructural hydration model for cemented paste backfill considering internal sulfate attacks
L Liu, C Zhu, C Qi, B Zhang, KIIL Song
Construction and Building Materials 211, 99-108, 2019
472019
Pressure drop in pipe flow of cemented paste backfill: Experimental and modeling study
C Qi, Q Chen, A Fourie, J Zhao, Q Zhang
Powder Technology 333, 9-18, 2018
472018
Data-driven modelling of the flocculation process on mineral processing tailings treatment
C Qi, A Fourie, Q Chen, X Tang, Q Zhang, R Gao
Journal of Cleaner Production 196, 505-516, 2018
412018
Flocculation-dewatering prediction of fine mineral tailings using a hybrid machine learning approach
C Qi, HB Ly, Q Chen, TT Le, VM Le, BT Pham
Chemosphere 244, 125450, 2020
402020
Comparative study of hybrid artificial intelligence approaches for predicting hangingwall stability
C Qi, A Fourie, G Ma, X Tang, X Du
Journal of Computing in Civil Engineering 32 (2), 04017086, 2018
402018
An analytical solution for evaluating the safety of an exposed face in a paste backfill stope incorporating the arching phenomenon
X Zhao, A Fourie, C Qi
International Journal of Minerals, Metallurgy, and Materials 26 (10), 1206-1216, 2019
392019
An experimental study on the early-age hydration kinetics of cemented paste backfill
L Liu, P Yang, C Qi, B Zhang, L Guo, KIIL Song
Construction and Building Materials 212, 283-294, 2019
392019
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Articles 1–20