| A hybrid framework for forecasting power generation of multiple renewable energy sources J Zheng, J Du, B Wang, JJ Klemeš, Q Liao, Y Liang Renewable and Sustainable Energy Reviews 172, 113046, 2023 | 68 | 2023 |
| Deeppipe: A semi-supervised learning for operating condition recognition of multi-product pipelines J Zheng, J Du, Y Liang, Q Liao, Z Li, H Zhang, Y Wu Process Safety and Environmental Protection 150, 510-521, 2021 | 38 | 2021 |
| Deeppipe: Theory-guided LSTM method for monitoring pressure after multi-product pipeline shutdown J Zheng, J Du, Y Liang, C Wang, Q Liao, H Zhang Process Safety and Environmental Protection 155, 518-531, 2021 | 26 | 2021 |
| A hybrid deep learning framework for predicting daily natural gas consumption J Du, J Zheng, Y Liang, X Lu, JJ Klemeš, PS Varbanov, K Shahzad, ... Energy 257, 124689, 2022 | 22 | 2022 |
| Deeppipe: Theory-guided neural network method for predicting burst pressure of corroded pipelines Y Ma, J Zheng, Y Liang, JJ Klemeš, J Du, Q Liao, H Lu, B Wang Process Safety and Environmental Protection 162, 595-609, 2022 | 22 | 2022 |
| A theory-guided deep-learning method for predicting power generation of multi-region photovoltaic plants J Du, J Zheng, Y Liang, Q Liao, B Wang, X Sun, H Zhang, M Azaza, J Yan Engineering Applications of Artificial Intelligence 118, 105647, 2023 | 18 | 2023 |
| A knowledge-enhanced graph-based temporal-spatial network for natural gas consumption prediction J Du, J Zheng, Y Liang, B Wang, JJ Klemeš, X Lu, R Tu, Q Liao, N Xu, ... Energy 263, 125976, 2023 | 14 | 2023 |
| Weather condition-based hybrid models for multiple air pollutants forecasting and minimisation C Wang, J Zheng, J Du, G Wang, JJ Klemeš, B Wang, Q Liao, Y Liang Journal of Cleaner Production 352, 131610, 2022 | 11 | 2022 |
| Deeppipe: Theory-guided prediction method based automatic machine learning for maximum pitting corrosion depth of oil and gas pipeline J Du, J Zheng, Y Liang, N Xu, Q Liao, B Wang, H Zhang Chemical Engineering Science 278, 118927, 2023 | 7 | 2023 |
| Deeppipe: A two-stage physics-informed neural network for predicting mixed oil concentration distribution J Du, J Zheng, Y Liang, N Xu, JJ Klemeš, B Wang, Q Liao, PS Varbanov, ... Energy 276, 127452, 2023 | 7 | 2023 |
| Energy saving and consumption reduction in the transportation of petroleum products: A pipeline pricing optimization perspective R Tu, Y Jiao, R Qiu, Q Liao, N Xu, J Du, Y Liang Applied Energy 342, 121135, 2023 | 6 | 2023 |
| Deeppipe: An intelligent framework for predicting mixed oil concentration in multi-product pipeline J Du, J Zheng, Y Liang, Y Xia, B Wang, Q Shao, Q Liao, R Tu, B Xu, N Xu Energy 282, 128810, 2023 | 4 | 2023 |
| A hybrid intelligent method for predicting gasoline octane number and optimising operation parameters J Du, J Zheng, Y Liang, Q Liao, B Wang Chemical Engineering Transactions 94, 1165-1170, 2022 | 4 | 2022 |
| Deeppipe: A hybrid intelligent framework for real-time batch tracking of multi-product pipelines J Zheng, J Du, Y Liang, B Wang, M Li, Q Liao, N Xu Chemical Engineering Research and Design 191, 236-248, 2023 | 3 | 2023 |
| Research into real-time monitoring of shutdown pressures in multi-product pipelines J Zheng, J Du, Y Liang Pet. Sci. Bull 4, 648-656, 2021 | 2 | 2021 |
| A deep learning-based approach for predicting oil production: A case study in the United States J Du, J Zheng, Y Liang, Y Ma, B Wang, Q Liao, N Xu, AM Ali, MI Rashid, ... Energy 288, 129688, 2024 | 1 | 2024 |
| Pipeline sharing: Boosting multi-product pipeline transport biofuels in the shift to low-carbon energy R Tu, H Zhang, S Xu, G Fu, Z Li, Q Liao, J Du, Y Liang Journal of Cleaner Production 437, 140663, 2024 | 1 | 2024 |
| Integrated planning of berth allocation, quay crane assignment and yard assignment in multiple cooperative terminals L Guo, J Zheng, J Du, Z Gao, K Fagerholt Transportation Research Part E: Logistics and Transportation Review 183, 103456, 2024 | | 2024 |
| Machine learning application in batch scheduling for multi-product pipelines: A review R Tu, H Zhang, B Xu, X Huang, Y Che, J Du, C Wang, R Qiu, Y Liang Journal of Pipeline Science and Engineering, 100180, 2024 | | 2024 |
| Intelligent Leakage Detection for Pipelines J Du, J Zheng Advanced Intelligent Pipeline Management Technology, 177-188, 2023 | | 2023 |
