Standout Papers

Predicting the state of charge and health of batteries using data-driven machine learning 2020 2026 2022 2024500
  1. Predicting the state of charge and health of batteries using data-driven machine learning (2020)
    Man‐Fai Ng, Jin Zhao et al. Nature Machine Intelligence

Immediate Impact

7 by Nobel laureates 15 from Science/Nature 59 standout
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Citing Papers

Multi-modal framework for battery state of health evaluation using open-source electric vehicle data
2025 Standout
Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis
2024 Standout

Works of G. J. Conduit being referenced

Predicting the state of charge and health of batteries using data-driven machine learning
2020 Standout

Author Peers

Author Last Decade Papers Cites
G. J. Conduit 571 506 389 483 62 2.0k
Jean‐Luc Fattebert 622 637 74 393 58 1.6k
Carlos Amador‐Bedolla 309 1197 91 696 95 2.5k
Yanzhi Zhang 349 399 98 271 105 1.9k
Jonathan Schmidt 456 1880 101 669 33 2.9k
Yebin Wang 204 643 115 1075 70 2.9k
Amit Samanta 289 1607 103 389 58 2.6k
Matthew K. Horton 206 1376 320 580 51 2.0k
Richard H. Taylor 171 1783 143 456 29 2.5k
Roman V. Chepulskii 696 1280 320 505 41 2.2k
Jaroslaw Knap 212 1310 51 537 72 2.4k

All Works

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Rankless by CCL
2026