| Interpretable machine learning for predicting and evaluating hydrogen production via supercritical water gasification of biomass S Zhao, J Li, C Chen, B Yan, J Tao, G Chen Journal of Cleaner Production 316, 128244, 2021 | 117 | 2021 |
| Characteristics prediction of hydrothermal biochar using data enhanced interpretable machine learning C Chen, Z Wang, Y Ge, R Liang, D Hou, J Tao, B Yan, W Zheng, ... Bioresource Technology 377, 128893, 2023 | 40 | 2023 |
| Modification of anaerobic digestion model No. 1 with Machine learning models towards applicable and accurate simulation of biomass anaerobic digestion Y Ge, J Tao, Z Wang, C Chen, L Mu, H Ruan, YR Yon, H Su, B Yan, ... Chemical Engineering Journal 454, 140369, 2023 | 30 | 2023 |
| Electrolytic transesterification of waste cooking oil using magnetic Co/Fe–Ca based catalyst derived from waste shells: A promising approach towards sustainable biodiesel … S Xia, Y Hu, C Chen, J Tao, B Yan, W Li, G Zhu, Z Cheng, G Chen Renewable Energy 200, 1286-1299, 2022 | 25 | 2022 |
| Fast characterization of biomass pyrolysis oil via combination of ATR-FTIR and machine learning models C Chen, R Liang, Y Ge, J Li, B Yan, Z Cheng, J Tao, Z Wang, M Li, ... Renewable Energy 194, 220-231, 2022 | 25 | 2022 |
| Fast characterization of biodiesel via a combination of ATR-FTIR and machine learning models C Chen, R Liang, S Xia, D Hou, B Abdoulaye, J Tao, B Yan, Z Cheng, ... Fuel 332, 126177, 2023 | 18 | 2023 |
| An operation strategy towards efficient energy recovery from integrated anaerobic digestion and pyrolysis of corn stalk Z Wang, C Chen, X Zhang, J Li, W Wu, B Yan, W Chen, X Zuo, X Li, ... Resources, Conservation and Recycling 188, 106710, 2023 | 18 | 2023 |
| Simulation of integrated anaerobic digestion-gasification systems using machine learning models Y Ge, J Tao, Z Wang, C Chen, R Liang, L Mu, H Ruan, YR Yon, B Yan, ... Bioresource Technology 369, 128420, 2023 | 13 | 2023 |
| Application of waste derived magnetic acid-base bifunctional CoFe/biochar/CaO as an efficient catalyst for biodiesel production from waste cooking oil S Xia, J Tao, Y Zhao, Y Men, C Chen, Y Hu, G Zhu, Y Chu, B Yan, G Chen Chemosphere 350, 141104, 2024 | 11 | 2024 |
| Interpretable machine learning assisted spectroscopy for fast characterization of biomass and waste R Liang, C Chen, T Sun, J Tao, X Hao, Y Gu, Y Xu, B Yan, G Chen Waste Management 160, 90-100, 2023 | 10 | 2023 |
| Intelligent technologies powering clean incineration of municipal solid waste: A system review J Tao, Z Li, C Chen, R Liang, S Wu, F Lin, Z Cheng, B Yan, G Chen Science of The Total Environment, 173082, 2024 | 6 | 2024 |
| A conceptual sorting strategy of municipal solid waste towards efficient gasification R Liang, C Chen, Y Ge, J Tao, B Yan, H Wang, K Wang, Q Bu, G Chen Energy Conversion and Management 304, 118209, 2024 | 4 | 2024 |
| Simulation and optimization of co-pyrolysis biochar using data enhanced interpretable machine learning and particle swarm algorithm C Chen, R Liang, J Wang, Y Ge, J Tao, B Yan, G Chen Biomass and Bioenergy 182, 107111, 2024 | 4 | 2024 |
| State-of-the-art applications of machine learning in the life cycle of solid waste management R Liang, C Chen, A Kumar, J Tao, Y Kang, D Han, X Jiang, P Tang, B Yan, ... Frontiers of Environmental Science & Engineering 17 (4), 44, 2023 | 4 | 2023 |
| Noise-assisted data enhancement promoting image classification of municipal solid waste C Chen, R Liang, M Song, Z Zhang, J Tao, B Yan, Z Cheng, G Chen Resources, Conservation and Recycling 209, 107790, 2024 | 3 | 2024 |
| Liquid biofuel powering the sustainable transport with a low-carbon emission: a review J Tao, C Chen, J Wang, J Li, S Zhou, C Chen, B Yan, W Guo, Z Cheng, ... Progress in Energy 5 (4), 042003, 2023 | 3 | 2023 |
| Thermal kinetic parameters based classification method of residual waste oriented for efficient energy utilization R Liang, C Chen, J Tao, Y Xu, M Song, Z Cheng, B Yan, G Chen Journal of Cleaner Production 439, 140914, 2024 | 2 | 2024 |
| Combination of integrated machine learning model frameworks and infrared spectroscopy towards fast and interpretable characterization of model pyrolysis oil C Chen, R Liang, J Zhu, J Tao, X Lv, B Yan, Z Cheng, G Chen Renewable Energy 236, 121434, 2024 | | 2024 |
| Progress in Energy J Tao, C Chen, J Wang, J Li, S Zhou, C Chen, B Yan, W Guo, Z Cheng, ... | | 2023 |
| Prediction and Optimization of Biochar H/N Ratio and Yield in Biomass Co-Pyrolysis Using Data Enhanced Interpretable Machine Learning and Particle Swarm Algorithm C Chen, R Liang, J Wang, Y Ge, J Tao, B Yan, G Chen N Ratio and Yield in Biomass Co-Pyrolysis Using Data Enhanced Interpretable …, 0 | | |