Standout Papers

A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion batter... 2021 2026 2022 2024258
  1. A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery (2021)
    Xin Sui, Shan He et al. Applied Energy

Immediate Impact

51 standout
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Citing Papers

Emerging Chemistry for Wide-Temperature Sodium-Ion Batteries
2024 Standout
Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis
2024 Standout
13 intermediate papers

Works of Xin Sui being referenced

Data efficient health prognostic for batteries based on sequential information-driven probabilistic neural network
2022
A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery
2021 Standout
and 8 more

Author Peers

Author Last Decade Papers Cites
Xin Sui 1196 1127 222 289 157 2.3k
Tingting Wang 950 300 155 232 154 2.3k
Xuan Zhang 1213 502 227 402 206 4.2k
Wei Li 2063 1790 362 591 185 4.1k
Zhendong Zhang 1818 1306 115 1308 232 4.6k
Wenyi Liu 2159 452 200 470 113 3.7k
Mengqi Wang 1351 232 47 290 154 2.0k
Yaodong Wang 693 518 108 571 224 5.2k
Qingsong Liu 1489 686 68 356 117 2.5k
Wenping Cao 3536 539 136 361 217 4.8k
Xuan Zhou 1809 844 173 541 157 3.3k

All Works

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2026