| A novel state-of-health estimation for the lithium-ion battery using a convolutional neural network and transformer model X Gu, KW See, P Li, K Shan, Y Wang, L Zhao, KC Lim, N Zhang Energy 262, 125501, 2023 | 157 | 2023 |
| Critical review and functional safety of a battery management system for large-scale lithium-ion battery pack technologies KW See, G Wang, Y Zhang, Y Wang, L Meng, X Gu, N Zhang, KC Lim, ... International Journal of Coal Science & Technology 9 (1), 36, 2022 | 86 | 2022 |
| A machine learning study of predicting mixing and segregation behaviors in a bidisperse solid–liquid fluidized bed Z Xie, X Gu, Y Shen Industrial & Engineering Chemistry Research 61 (24), 8551-8565, 2022 | 34 | 2022 |
| A time-series Wasserstein GAN method for state-of-charge estimation of lithium-ion batteries X Gu, KW See, Y Liu, B Arshad, L Zhao, Y Wang Journal of Power Sources 581, 233472, 2023 | 31 | 2023 |
| The sliding window and SHAP theory—an improved system with a long short-term memory network model for state of charge prediction in electric vehicle application X Gu, KW See, Y Wang, L Zhao, W Pu Energies 14 (12), 3692, 2021 | 25 | 2021 |
| ADNNet: Attention-based deep neural network for Air Quality Index prediction X Wu, X Gu, KW See Expert Systems with Applications 258, 125128, 2024 | 3 | 2024 |
| Recent Advances in Data Preprocessing and Machine Learning Approaches for Battery's State of Charge and State of Health Estimation: A Review X Gu, K See, X Zhou, Y Wang, C Zang 2023 IEEE International Future Energy Electronics Conference (IFEEC), 421-426, 2023 | 1 | 2023 |
| Machine Learning Applications in Time Series Forecasting for Engineering Problems X Gu University of Wollongong, 2023 | | 2023 |
| A Bpnn-Transformer for Air Quality Index Prediction X Wu, P Li, X Gu, KW See, J Li Available at SSRN 4416025, 0 | | |