| Real-time natural gas release forecasting by using physics-guided deep learning probability model J Shi, W Xie, X Huang, F Xiao, AS Usmani, F Khan, X Yin, G Chen Journal of Cleaner Production 368, 133201, 2022 | 55 | 2022 |
| Real-time natural gas explosion modeling of offshore platforms by using deep learning probability approach J Shi, H Zhang, J Li, W Xie, W Zhao, AS Usmani, G Chen Ocean Engineering 276, 114244, 2023 | 19 | 2023 |
| Real-time plume tracking using transfer learning approach J Shi, W Xie, J Li, X Zhang, X Huang, AS Usmani, F Khan, G Chen Computers & Chemical Engineering 172, 108172, 2023 | 15 | 2023 |
| Real-time hydrogen release and dispersion modelling of hydrogen refuelling station by using deep learning probability approach J Li, W Xie, H Li, X Qian, J Shi, Z Xie, Q Wang, X Zhang, G Chen International Journal of Hydrogen Energy 51, 794-806, 2024 | 13 | 2024 |
| Advanced computer vision-based subsea gas leaks monitoring: a comparison of two approaches H Zhu, W Xie, J Li, J Shi, M Fu, X Qian, H Zhang, K Wang, G Chen Sensors 23 (5), 2566, 2023 | 9 | 2023 |
| Quantitative risk analysis of oil and gas fires and explosions for FPSO systems in China X Xie, Y Xiong, W Xie, J Li, W Zhang Processes 10 (5), 902, 2022 | 7 | 2022 |
| Probabilistic real-time natural gas jet fire consequence modeling of offshore platforms by hybrid deep learning approach W Xie, J Li, J Shi, X Zhang, AS Usmani, G Chen Marine pollution bulletin 192, 115098, 2023 | 3 | 2023 |
| Real-time spatiotemporal forecast of natural gas jet fire from offshore platform by using deep probability learning W Xie, X Zhang, J Shi, X Huang, Y Chang, AS Usmani, F Xiao, G Chen Ocean Engineering 294, 116658, 2024 | 1 | 2024 |
| Deep probability learning-based release consequence estimation approach for inherently safer design of chemical plant J Shi, J Li, W Xie, G Chen, AS Usmani Methods in Chemical Process Safety 7, 311-351, 2023 | | 2023 |
