[1] Yang QC(*), Zhao L, Bao R, Fan Y, Zhou J, Rong D, Zhou H, Zhang, D. Interpretable machine learning-assisted advanced exergy optimization for carbon-neutral olefins production. Renewable and Sustainable Energy Reviews 2025, 208, 115027. (IF=16.3, 一区TOP)

[2] Yang QC(*), Fan Y, Rong D, Bao R, Zhang D. An auto-configurable machine learning framework to optimize and predict catalysts for CO2 to light olefins process. AIChE Journal 2024, e18437. (IF=3.5, 化工三大刊)

[3] Bao R, Zhang F, Rong D, Wang Z, Guo Q, Yang QC(*). An interpretable machine learning-based optimization framework for the optimal design of carbon dioxide to methane process. Energy Conversion and Management 2024, 320, 119010. (IF=9.9, 一区TOP)

[4] Yang QC(*), Zhou J, Bao R, Rong D, Zhao L, Zhang D. Optimization and prediction of catalysts for precise synthesis of methyl glycolate from dimethyl oxalate using machine learning coupled with particle swarm optimization algorithm. Chemical Engineering Science 2024, 120295. (IF=4.1, 化工三大刊)

[5] Yang QC(*), Bao R, Rong D, Xiao J, Zhou J, Zhao L, Zhang D. (2024). Interpretable Machine Learning for Accelerating Reverse Design and Optimizing CO2 Methanation Catalysts with High Activity at Low Temperatures. Industrial & Engineering Chemistry Research, 2024, 63, 14727-14747. (IF=3.8, 化工三大刊)

[6] Yang QC(*), Zhao L, Xiao J, Wen R, Zhang F, Zhang D. Machine learning-assisted prediction and optimization of solid oxide electrolysis cell for green hydrogen production. Green Chemical Engineering, 2024. (IF=9.1, 一区TOP)

[7] Yang QC(*), Fan Y, Zhou J, Zhao L, Dong Y, Yu J, Zhang D. Machine learning-aided catalyst screening and multi-objective optimization for the indirect CO2 hydrogenation to methanol and ethylene glycol process. Green Chemistry 2023, 25(18), 7216-7233. (IF=9.3, 一区TOP)

[8] Yang QC(*), Fan Y, Zhou J, Zhao L. Optimal integration design of sustainable ethylene glycol production process considering economic benefit and environmental impact. Journal of Cleaner Production 2023, 396, 136540. (IF=9.7, 一区TOP)

[9] Yang QC(*), Zhang J, Zhou J, Zhao L, Zhang D. A hybrid data-driven machine learning framework for predicting the performance of coal and biomass gasification processes. Fuel 2023, 346, 128338. (IF=6.7, 一区TOP)

[10] Chu G, Yang QC(*), Zhao L, Zhang D, Xie J. Conceptual Design and Techno-Economic Analysis of a Novel Coal-to-Polyglycolic Acid Process Considering Wind–Solar Energy Complementary Features for Green H2 Production and CO2 Reduction. ACS Sustainable Chemistry & Engineering 2023, 11, 5937-5952. (IF=7.1, 一区TOP)