Ngai Wong
- Computational Mathematics top 0.5%
- Tensor decomposition and applications 31
- Numerical Analysis top 5%
- Numerical methods for differential equations 28
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- Model Reduction and Neural Networks 53
- Hardware and Architecture top 5%
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- Electromagnetic Simulation and Numerical Methods 35
- Low-power high-performance VLSI design 30
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- Advanced Neural Network Applications 24
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- Analog and Mixed-Signal Circuit Design 22
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- Matrix Theory and Algorithms 19
- Co-authors
- Kim BatselierEdmund Y. LamChi‐Un LeiZheng ZhangYijiang ShenV. BalakrishnanQuan ChenLuca Daniel
- Journals
- Nature Communications (2 papers)The Journal of Chemical Physics (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Ngai Wong
214 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Computational Mathematics 211
- Numerical Analysis 163
- Statistical and Nonlinear Physics 319
- Hardware and Architecture 124
- Electrical and Electronic Engineering 962
Countries citing papers authored by Ngai Wong
This map shows the geographic impact of Ngai Wong'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 Ngai Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ngai Wong more than expected).
Fields of papers citing papers by Ngai Wong
This network shows the impact of papers produced by Ngai Wong. 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 Ngai Wong. The network helps show where Ngai Wong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ngai Wong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | A memristor-based adaptive neuromorphic decoder for brain–computer interfacesbreakdown → | 2025 | 27 |
| 3 | 2025 | 0 | |
| 4 | 2024 | 12 | |
| 5 | 2023 | 14 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 3 | |
| 10 | 2022 | 8 | |
| 11 | 2022 | 43 | |
| 12 | 2022 | 8 | |
| 13 | 2022 | 11 | |
| 14 | 2021 | 4 | |
| 15 | Parallelized Tensor Train Learning For Polynomial Pattern Classification | 2016 | 1 |
| 16 | 2012 | 1 | |
| 17 | 2007 | 2 | |
| 18 | A Common Subexpression Sharing Approach for Multiplierless Synthesis of Multiple Constant Multiplications | 2007 | 0 |
| 19 | Robust Binary Image Deconvolution with Positive Semidefinite Programming | 2006 | 6 |
| 20 | Fast detection of instability in sigma-delta modulators based on unstable embedded limit cycles | 2004 | 0 |
About Ngai Wong
Ngai Wong is a scholar working on Computational Mathematics, Numerical Analysis and Statistical and Nonlinear Physics, having authored 237 papers that have together received 1.8k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (53 papers), Electromagnetic Simulation and Numerical Methods (35 papers), Tensor decomposition and applications (31 papers), Low-power high-performance VLSI design (30 papers), Numerical methods for differential equations (28 papers), Advanced Neural Network Applications (24 papers), Analog and Mixed-Signal Circuit Design (22 papers) and Matrix Theory and Algorithms (19 papers). The work is most often cited by research in Computational Mathematics (211 citations), Numerical Analysis (163 citations) and Statistical and Nonlinear Physics (319 citations). Ngai Wong has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Kim Batselier, Edmund Y. Lam, Chi‐Un Lei, Zheng Zhang, Yijiang Shen, V. Balakrishnan, Quan Chen, Luca Daniel, G.K.H. Pang and Hayden Kwok‐Hay So. Their work appears in journals such as Nature Communications, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.
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.