Standout Papers

Predicting the state of charge and health of batteries using data-dr... 2017 2026 2020 2023 576
  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
  2. Reversible multi-electron redox chemistry of π-conjugated N-containing heteroaromatic molecule-based organic cathodes (2017)
    Chengxin Peng, Guo‐Hong Ning et al. Nature Energy

Immediate Impact

4 by Nobel laureates 8 from Science/Nature 59 standout
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Citing Papers

Physics-informed neural network for lithium-ion battery degradation stable modeling and prognosis
2024 Standout
Enhancing Compatibility of Two‐Step Tandem Catalytic Nitrate Reduction to Ammonia Over P‐Cu/Co(OH) 2
2024 Standout

Works of Man‐Fai Ng being referenced

Balanced NOx– and Proton Adsorption for Efficient Electrocatalytic NOx– to NH3 Conversion
2023
Predicting the state of charge and health of batteries using data-driven machine learning
2020 Standout

Author Peers

Author Last Decade Papers Cites
Man‐Fai Ng 2741 1619 331 690 97 3.8k
Kevin H. Stone 1834 1646 198 643 91 4.1k
P. Alex Greaney 2893 871 364 513 65 3.7k
Oleksandr I. Malyi 2199 1721 256 272 92 3.3k
Zhigao Huang 2862 1497 640 564 174 4.2k
Huijuan Zhao 1951 1826 615 644 98 4.0k
Hiroki Moriwake 1903 1787 279 370 123 2.9k
Feng Wu 2266 1731 508 410 148 3.4k
Koichi Mizushima 3716 1280 172 1205 100 5.3k
Bo Xu 4844 3004 286 1196 177 6.6k
Jiawei Chen 3391 2531 367 385 103 4.0k

All Works

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Rankless by CCL
2026