Man‐Fai Ng

4.9k total citations · 2 hit papers
98 papers, 4.0k citations indexed

About

Man‐Fai Ng is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Biomedical Engineering. According to data from OpenAlex, Man‐Fai Ng has authored 98 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Electrical and Electronic Engineering, 52 papers in Materials Chemistry and 17 papers in Biomedical Engineering. Recurrent topics in Man‐Fai Ng's work include Advancements in Battery Materials (36 papers), Advanced Battery Materials and Technologies (32 papers) and Graphene research and applications (19 papers). Man‐Fai Ng is often cited by papers focused on Advancements in Battery Materials (36 papers), Advanced Battery Materials and Technologies (32 papers) and Graphene research and applications (19 papers). Man‐Fai Ng collaborates with scholars based in Singapore, China and Hong Kong. Man‐Fai Ng's co-authors include Zhi Wei Seh, Qingyu Yan, G. J. Conduit, Jin Zhao, Shuo‐Wang Yang, Michael J. Cima, Paul C. McIntyre, Ping Wu, Alex Yong Sheng Eng and Michael B. Sullivan and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Advanced Materials.

In The Last Decade

Man‐Fai Ng

95 papers receiving 3.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Reversible multi-electron redox chemistry of π-conjugated N-containing heteroaromatic molecule-based organic cathodes

2017 597 citations Man‐Fai Ng et al. profile →
Predicting the state of charge and health of batteries using data-driven machine learning

2020 559 citations Man‐Fai Ng, Jin Zhao et al. Nature Machine Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Man‐Fai Ng Singapore	34	2.9k	1.7k	760	514	403	98	4.0k
Jiawei Chen China	29	3.5k 1.2×	2.6k 1.6×	401 0.5×	374 0.7×	449 1.1×	118	4.3k
Jörg Schuster Germany	25	1.8k 0.6×	1.4k 0.8×	518 0.7×	540 1.1×	365 0.9×	102	3.1k
James A. Dawson United Kingdom	37	4.5k 1.6×	2.7k 1.6×	1.2k 1.6×	701 1.4×	83 0.2×	103	5.5k
Jun Zhu China	26	2.3k 0.8×	1.2k 0.8×	525 0.7×	516 1.0×	105 0.3×	134	2.9k
Wenxue Zhang China	34	2.9k 1.0×	3.0k 1.8×	323 0.4×	597 1.2×	165 0.4×	115	4.9k
Adrian Hunt United States	36	2.6k 0.9×	1.7k 1.0×	703 0.9×	625 1.2×	141 0.3×	117	4.2k
Erik J. Luber Canada	26	1.8k 0.6×	1.1k 0.7×	215 0.3×	520 1.0×	151 0.4×	59	2.7k
Jin‐Soo Kim South Korea	34	5.0k 1.7×	1.2k 0.7×	1.1k 1.4×	1.1k 2.2×	136 0.3×	151	5.9k
Xiaohong Yan China	29	2.5k 0.9×	1.6k 1.0×	355 0.5×	330 0.6×	309 0.8×	98	3.4k

Countries citing papers authored by Man‐Fai Ng

Since Specialization

Citations

This map shows the geographic impact of Man‐Fai Ng's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Man‐Fai Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Man‐Fai Ng more than expected).

Fields of papers citing papers by Man‐Fai Ng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Man‐Fai Ng. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Man‐Fai Ng. The network helps show where Man‐Fai Ng may publish in the future.

Co-authorship network of co-authors of Man‐Fai Ng

This figure shows the co-authorship network connecting the top 25 collaborators of Man‐Fai Ng. A scholar is included among the top collaborators of Man‐Fai Ng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Man‐Fai Ng. Man‐Fai Ng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Chinnadurai, Deviprasath, Sonal Kumar, Chang Zhang, et al.. (2025). Co‐Regulating Planar Mg Deposition and Bromine‐Rich Mg Anode‐Electrolyte Interface by Multifunctional Organic Bromine Additive. Advanced Energy Materials. 15(32). 2 indexed citations

Li, Wenqing, et al.. (2025). Enabling accurate modelling of materials for a solid electrolyte interphase in lithium-ion batteries using effective machine learning interatomic potentials. Materials Horizons. 12(24). 10770–10781.

Shu, Zheng, Zhangsheng Shi, Man‐Fai Ng, Teck Leong Tan, & Yongqing Cai. (2024). Unveiling the effect of solvent for hydrogen evolution in Pt-doped MXenes and corresponding high-entropy phase. Materials Today Sustainability. 26. 100808–100808. 4 indexed citations

Li, Yuanjian, Xiang Feng, Gaoliang Yang, et al.. (2024). Toward waterproof magnesium metal anodes by uncovering water-induced passivation and drawing water-tolerant interphases. Nature Communications. 15(1). 9364–9364. 27 indexed citations

Ng, Man‐Fai, Yongming Sun, & Zhi Wei Seh. (2023). Machine learning-inspired battery material innovation. Energy Advances. 2(4). 449–464. 23 indexed citations

Lieu, Wei Ying, et al.. (2023). Uncovering the Binder Interactions with S-PAN and MXene for Room Temperature Na–S Batteries. Nano Letters. 23(8). 3592–3598. 15 indexed citations

Yang, Gaoliang, Yuanjian Li, Jianbiao Wang, et al.. (2023). Realizing horizontal magnesium platelet deposition and suppressed surface passivation for high-performance magnesium metal batteries. Energy & Environmental Science. 17(3). 1141–1152. 38 indexed citations

Li, Yuanjian, Gaoliang Yang, Chang Zhang, et al.. (2022). Grain‐Boundary‐Rich Triphasic Artificial Hybrid Interphase Toward Practical Magnesium Metal Anodes. Advanced Functional Materials. 33(5). 41 indexed citations

Lieu, Wei Ying, Daliang Fang, Yuanjian Li, et al.. (2022). Spherical Templating of CoSe₂ Nanoparticle-Decorated MXenes for Lithium–Sulfur Batteries. Nano Letters. 22(21). 8679–8687. 46 indexed citations

10.

Yang, Gaoliang, Yuanjian Li, Chang Zhang, et al.. (2022). In Situ Formed Magnesiophilic Sites Guiding Uniform Deposition for Stable Magnesium Metal Anodes. Nano Letters. 22(22). 9138–9146. 47 indexed citations

11.

Li, Yuanjian, Gaoliang Yang, Shengnan Sun, et al.. (2022). High Utilization of Composite Magnesium Metal Anodes Enabled by a Magnesiophilic Coating. Nano Letters. 22(16). 6808–6815. 32 indexed citations

12.

Wang, Jianbiao, Albertus D. Handoko, Yang Bai, et al.. (2022). High-Performance NiS₂ Hollow Nanosphere Cathodes in Magnesium-Ion Batteries Enabled by Tunable Redox Chemistry. Nano Letters. 22(24). 10184–10191. 35 indexed citations

13.

Eng, Alex Yong Sheng, Yong Wang, Dan Thien Nguyen, et al.. (2021). Tunable Nitrogen-Doping of Sulfur Host Nanostructures for Stable and Shuttle-Free Room-Temperature Sodium–Sulfur Batteries. Nano Letters. 21(12). 5401–5408. 56 indexed citations

14.

Ng, Man‐Fai, Jin Zhao, Qingyu Yan, G. J. Conduit, & Zhi Wei Seh. (2020). Author Correction: Predicting the state of charge and health of batteries using data-driven machine learning. Nature Machine Intelligence. 3 indexed citations

15.

Eng, Alex Yong Sheng, Dan Thien Nguyen, Vipin Kumar, et al.. (2020). Tailoring binder–cathode interactions for long-life room-temperature sodium–sulfur batteries. Journal of Materials Chemistry A. 8(43). 22983–22997. 61 indexed citations

16.

Ng, Man‐Fai, Jin Zhao, Qingyu Yan, G. J. Conduit, & Zhi Wei Seh. (2020). Predicting the state of charge and health of batteries using data-driven machine learning. Nature Machine Intelligence. 2(3). 161–170. 559 indexed citations breakdown →

17.

Nguyen, Dan Thien, Alex Yong Sheng Eng, Man‐Fai Ng, et al.. (2020). A High-Performance Magnesium Triflate-based Electrolyte for Rechargeable Magnesium Batteries. Cell Reports Physical Science. 1(12). 100265–100265. 90 indexed citations

18.

Kumar, Vipin, Yong Wang, Alex Yong Sheng Eng, Man‐Fai Ng, & Zhi Wei Seh. (2020). A Biphasic Interphase Design Enabling High Performance in Room Temperature Sodium-Sulfur Batteries. Cell Reports Physical Science. 1(5). 100044–100044. 57 indexed citations

19.

Kumar, Vipin, Alex Yong Sheng Eng, Yong Wang, et al.. (2020). An artificial metal-alloy interphase for high-rate and long-life sodium–sulfur batteries. Energy storage materials. 29. 1–8. 114 indexed citations

20.

Chen, Yingqian, Johann Lüder, Man‐Fai Ng, Michael B. Sullivan, & Sergei Manzhos. (2017). Polyaniline and CN-functionalized polyaniline as organic cathodes for lithium and sodium ion batteries: a combined molecular dynamics and density functional tight binding study in solid state. Physical Chemistry Chemical Physics. 20(1). 232–237. 27 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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