Standout Papers

A method for state-of-charge estimation of lithium-ion batteries based on PSO-LSTM 2021 2026 2022 2024249
  1. A method for state-of-charge estimation of lithium-ion batteries based on PSO-LSTM (2021)
    Xiaoqing Ren, Shulin Liu et al. Energy

Immediate Impact

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Citing Papers

Digital twin-inspired methods for rotating machinery intelligent fault diagnosis and remaining useful life prediction: A state-of-the-art review and future challenges
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2 intermediate papers

Works of Xiaodong Yu being referenced

A method for state-of-charge estimation of lithium-ion batteries based on PSO-LSTM
2021 Standout

Author Peers

Author Last Decade Papers Cites
Xiaodong Yu 290 136 11 236 18 415
Muhammad Junaid Alvi 327 72 8 282 13 440
Roushan Kumar 256 71 4 245 27 419
M. Tanrioven 280 142 91 81 19 393
Muhammad Numan 312 191 57 115 28 429
Shunkun Yang 304 88 3 313 19 464
Asad Mujeeb 308 104 73 76 22 468
Qin Yan 331 88 38 216 17 501
Shiyuan Wang 317 206 23 113 21 450
Benyamin Khorramdel 476 180 38 155 12 502
Renyou Xie 376 106 15 211 23 445

All Works

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2026