Evolutionary Random Forest Algorithms for Predicting the Maximum Failure Depth of Open Stope Hangingwalls. - Chongchong Qi; Qiusong Chen (IEEE Access, 2018)

A hybrid method for improved stability prediction in construction projects: A case study of stope hangingwall stability. - Chongchong Qi; Andy Fourie; Guowei Ma; Xiaolin Tang (Appl. Soft Comput., 2018)

Slope stability prediction using integrated metaheuristic and machine learning approaches: A comparative study. - Chongchong Qi; Xiaolin Tang (Comput. Ind. Eng., 2018)

Comparative Study of Hybrid Artificial Intelligence Approaches for Predicting Hangingwall Stability. - Chongchong Qi; Andy Fourie; Guowei Ma; Xiaolin Tang; Xuhao Du (J. Comput. Civ. Eng., 2018)

Back-Analysis Method for Stope Displacements Using Gradient-Boosted Regression Tree and Firefly Algorithm. - Chongchong Qi; Andy Fourie; Xu Zhao (J. Comput. Civ. Eng., 2018)

FIST-Toy: A Benchmark Dataset for Toy Component Classification. - Chongchong Qi; Libo Gong; Jun Cheng 002; Dapeng Tao (RCAR, 2019)

Distribution Characteristics of Fragments Size and Optimization of Blasting Parameters Under Blasting Impact Load in Open-Pit Mine. - Xiaohua Ding; Wei Zhou 034; Xiang Lu; Ming Li; Ebelia Manda; Xuyang Shi; Boyu Luan; Chongchong Qi (IEEE Access, 2019)

Meteorological data mining and hybrid data-intelligence models for reference evaporation simulation: A case study in Iraq. - Khabat Khosravi; Prasad Daggupati; Mohammad Taghi Alami; Salih Muhammad Awadh; Mazen Ismaeel Ghareb; Mehdi Panahi; Binh Thai Pham; Fatemeh Rezaie; Chongchong Qi; Zaher Mundher Yaseen (Comput. Electron. Agric., 2019)

Metaheuristic Optimization Algorithms Hybridized With Artificial Intelligence Model for Soil Temperature Prediction: Novel Model. - Liu Penghui; Ahmed A. Ewees; Beste Hamiye Beyaztas; Chongchong Qi; Sinan Q. Salih; Nadhir Al-Ansari; Suraj Kumar Bhagat; Zaher Mundher Yaseen; Vijay P. Singh (IEEE Access, 2020)

Permeability prediction of porous media using a combination of computational fluid dynamics and hybrid machine learning methods. - Jianwei Tian; Chongchong Qi; Yingfeng Sun; Zaher Mundher Yaseen; Binh Thai Pham (Eng. Comput., 2021)

Improved Permeability Prediction of Porous Media by Feature Selection and Machine Learning Methods Comparison. - Jianwei Tian; Chongchong Qi; Kang Peng; Yingfeng Sun; Zaher Mundher Yaseen (J. Comput. Civ. Eng., 2022)

Optimization of neural network parameters in improvement of particulate matter concentration prediction of open-pit mining. - Xiang Lu; Wei Zhou 034; Hai-Bang Ly; Chongchong Qi; Thuy-Anh Nguyen; May Huu Nguyen; Jiandong Huang; Binh Thai Pham (Appl. Soft Comput., 2023)

Classification of arsenic contamination in soil across the EU by vis-NIR spectroscopy and machine learning. - Tao Hu; Chongchong Qi; Mengting Wu; Thilo Rennert; Qiusong Chen; Liyuan Chai; Zhang Lin (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Rapid estimation of soil Mn content by machine learning and soil spectra in large-scale. - Min Zhou; Tao Hu; Mengting Wu; Chundi Ma; Chongchong Qi (Ecol. Informatics, 2024)

Probabilistic hybrid machine learning models for predicting shear strength of flanged squat reinforced concrete walls. - Mohammad Sadegh Barkhordari; Chongchong Qi; Shekufe Khoshnazar (Expert Syst. Appl., 2025)

MultiEYE: Dataset and Benchmark for OCT-Enhanced Retinal Disease Recognition From Fundus Images. - Lehan Wang; Chongchong Qi; Chubin Ou; Lin An; Mei Jin; Xiangbin Kong; Xiaomeng Li 001 (IEEE Trans. Medical Imaging, 2025)