Standout Papers

Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries 2022 2026 2023 2024182
  1. Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries (2022)
    Weicong Hong, Xiuze Zhou et al. IEEE Access

Immediate Impact

26 standout
Sub-graph 1 of 11

Citing Papers

A comprehensive survey of loss functions and metrics in deep learning
2025 Standout
A review on physics-informed data-driven remaining useful life prediction: Challenges and opportunities
2024 Standout
2 intermediate papers

Works of Xiuze Zhou being referenced

Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries
2022 Standout
Sparse online collaborative filtering with dynamic regularization
2019
and 1 more

Author Peers

Author Last Decade Papers Cites
Xiuze Zhou 152 105 49 174 141 19 432
Benedetta Picano 82 84 244 107 233 38 473
Dennis K. Nilsson 122 206 154 70 225 29 506
Husnu S. Narman 89 58 144 60 87 20 382
Yabing Zha 72 111 108 58 202 40 460
Yuehu Liu 19 87 32 255 45 19 478
Yue Xu 61 106 95 29 62 28 411
Jochen Hipp 252 183 49 70 24 13 505
Yingjun Deng 98 85 195 24 82 17 459
Xiaoqiang Sun 196 236 128 79 125 11 479
Xingyuan Dai 27 82 36 82 36 31 444

All Works

Loading papers...

Rankless by CCL
2026