| Ultrafast materials synthesis and manufacturing techniques for emerging energy and environmental applications X Hu, D Zuo, S Cheng, S Chen, Y Liu, W Bao, S Deng, SJ Harris, J Wan Chemical Society Reviews 52 (3), 1103-1128, 2023 | 79 | 2023 |
| Semi-supervised learning for explainable few-shot battery lifetime prediction N Guo, S Chen, J Tao, Y Liu, J Wan, X Li Joule, 2024 | 28 | 2024 |
| Potential to transform words to watts with large language models in battery research S Zhao, S Chen, J Zhou, C Li, T Tang, SJ Harris, Y Liu, J Wan, X Li Cell Reports Physical Science 5 (3), 2024 | 12 | 2024 |
| Investigating explainable transfer learning for battery lifetime prediction under state transitions T Lin, S Chen, SJ Harris, T Zhao, Y Liu, J Wan eScience, 100280, 2024 | 7 | 2024 |
| Status, challenges, and promises of data‐driven battery lifetime prediction under cyber‐physical system context Y Liu, S Chen, P Li, J Wan, X Li IET Cyber‐Physical Systems: Theory & Applications, 2024 | 7 | 2024 |
| Robust battery lifetime prediction with noisy measurements via total-least-squares regression T Lu, X Zhai, S Chen, Y Liu, J Wan, G Liu, X Li Integration 96, 102136, 2024 | 6 | 2024 |
| Harnessing AI for Understanding Scientific Literature: Innovations and Applications of Chat-Agent System in Battery Recycling Research R Liu, Z Zou, S Chen, Y Liu, J Wan Materials Today Energy, 101818, 2025 | | 2025 |
