| Predictive modelling of surface roughness in fused deposition modelling using data fusion D Wu, Y Wei, J Terpenny International Journal of Production Research 57 (12), 3992-4006, 2019 | 98 | 2019 |
| Prediction of state of health and remaining useful life of lithium-ion battery using graph convolutional network with dual attention mechanisms Y Wei, D Wu Reliability Engineering & System Safety 230, 108947, 2023 | 92 | 2023 |
| Bearing remaining useful life prediction using self-adaptive graph convolutional networks with self-attention mechanism Y Wei, D Wu, J Terpenny Mechanical Systems and Signal Processing 188, 110010, 2023 | 76 | 2023 |
| Robust incipient fault detection of complex systems using data fusion Y Wei, D Wu, J Terpenny IEEE Transactions on Instrumentation and Measurement 69 (12), 9526-9534, 2020 | 56 | 2020 |
| Decision-level data fusion in quality control and predictive maintenance Y Wei, D Wu, J Terpenny IEEE Transactions on Automation Science and Engineering 18 (1), 184-194, 2020 | 55 | 2020 |
| Surface roughness prediction in additive manufacturing using machine learning D Wu, Y Wei, J Terpenny International manufacturing science and engineering conference 51371 …, 2018 | 52 | 2018 |
| Learning the health index of complex systems using dynamic conditional variational autoencoders Y Wei, D Wu, J Terpenny Reliability Engineering & System Safety 216, 108004, 2021 | 47 | 2021 |
| State of health and remaining useful life prediction of lithium-ion batteries with conditional graph convolutional network Y Wei, D Wu Expert Systems with Applications 238, 122041, 2024 | 21 | 2024 |
| Convolutional long-short term memory network with multi-head attention mechanism for traffic flow prediction Y Wei, H Liu Sensors 22 (20), 7994, 2022 | 21 | 2022 |
| Remaining useful life prediction of bearings with attention-awared graph convolutional network Y Wei, D Wu Advanced Engineering Informatics 58, 102143, 2023 | 19 | 2023 |
| Material removal rate prediction in chemical mechanical planarization with conditional probabilistic autoencoder and stacking ensemble learning Y Wei, D Wu Journal of Intelligent Manufacturing 35 (1), 115-127, 2024 | 16 | 2024 |
| Remaining useful life prediction using graph convolutional attention networks with temporal convolution-aware nested residual connections Y Wei, D Wu, J Terpenny Reliability Engineering & System Safety 242, 109776, 2024 | 11 | 2024 |
| Conditional variational transformer for bearing remaining useful life prediction Y Wei, D Wu Advanced Engineering Informatics 59, 102247, 2024 | 9 | 2024 |
| Model-based real-time prediction of surface roughness in fused deposition modeling with graph convolutional network-based error correction Y Wei, D Wu Journal of Manufacturing Systems 71, 286-297, 2023 | 9 | 2023 |
| Constructing robust and reliable health indices and improving the accuracy of remaining useful life prediction Y Wei, D Wu, J Terpenny Journal of Nondestructive Evaluation, Diagnostics and Prognostics of …, 2022 | 6 | 2022 |
| Predictive maintenance for aircraft engines using data fusion Y Wei, D Wu, J Terpenny IIE annual conference. Proceedings, 895-900, 2018 | 5 | 2018 |
| Prediction of state of health of lithium-ion battery using health index informed attention model Y Wei Sensors 23 (5), 2587, 2023 | 4 | 2023 |
| Surface roughness prediction in additive manufacturing using machine learning, manufacturing equipment and systems W Dazhong, Y Wei, J Terpenny ASME 13th international manufacturing science and engineering conference 3, 2018 | 3 | 2018 |
| Energy Storage Potential Model for Residential Photovoltaic Systems V Rios, Y Wei, H Liu 2022 IEEE International Conference on Industrial Engineering and Engineering …, 2022 | 2 | 2022 |
| A decision-level data fusion approach to surface roughness prediction Y Wei, D Wu, J Terpenny International Manufacturing Science and Engineering Conference 58745 …, 2019 | 2 | 2019 |