Ngai Wong

2.9k total citations · 1 hit paper
237 papers, 1.8k citations indexed

About

Ngai Wong is a scholar working on Electrical and Electronic Engineering, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ngai Wong has authored 237 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Electrical and Electronic Engineering, 54 papers in Statistical and Nonlinear Physics and 45 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ngai Wong's work include Model Reduction and Neural Networks (53 papers), Electromagnetic Simulation and Numerical Methods (35 papers) and Tensor decomposition and applications (31 papers). Ngai Wong is often cited by papers focused on Model Reduction and Neural Networks (53 papers), Electromagnetic Simulation and Numerical Methods (35 papers) and Tensor decomposition and applications (31 papers). Ngai Wong collaborates with scholars based in Hong Kong, China and United States. Ngai Wong's 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 and has published in prestigious journals such as Nature Communications, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.

In The Last Decade

Ngai Wong

214 papers receiving 1.7k citations

Hit Papers

A memristor-based adaptive neuromorphic decoder for brain... 2025 2026 2025 5 10 15 20 25

Peers

Ngai Wong
Luca Daniel United States
Ibrahim M. Elfadel United States
Yeung Yam Hong Kong
Joel Friedman United States
Sheldon X.-D. Tan United States
Vladimir Nikiforov United States
Franz Franchetti United States
Luca Daniel United States
Ngai Wong
Citations per year, relative to Ngai Wong Ngai Wong (= 1×) peers Luca Daniel

Countries citing papers authored by Ngai Wong

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Ngai Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Ngai Wong. A scholar is included among the top collaborators of Ngai Wong 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 Ngai Wong. Ngai Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Najm, Farid N., et al.. (2025). Novel Partitioning-Based Approach for Electromigration Assessment With Neural Networks. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 44(12). 4714–4727. 1 indexed citations
2.
Liu, Zhengwu, Jianshi Tang, Minpeng Xu, et al.. (2025). A memristor-based adaptive neuromorphic decoder for brain–computer interfaces. Nature Electronics. 8(4). 362–372. 27 indexed citations breakdown →
3.
Zhou, Wenyong, et al.. (2025). QuadINR: Hardware-Efficient Implicit Neural Representations Through Quadratic Activation. IEEE Transactions on Circuits & Systems II Express Briefs. 72(11). 1600–1604.
4.
Xu, Le, Lei Cheng, Ngai Wong, Yik‐Chung Wu, & H. Vincent Poor. (2024). Overcoming Beam Squint in mmWave MIMO Channel Estimation: A Bayesian Multi-Band Sparsity Approach. IEEE Transactions on Signal Processing. 72. 1219–1234. 12 indexed citations
5.
Xu, Le, Lei Cheng, Ngai Wong, & Yik‐Chung Wu. (2023). Tensor train factorization under noisy and incomplete data with automatic rank estimation. Pattern Recognition. 141. 109650–109650. 14 indexed citations
6.
Tao, Chaofan, Lu Hou, Haoli Bai, et al.. (2023). Structured Pruning for Efficient Generative Pre-trained Language Models. 10880–10895. 3 indexed citations
7.
Mao, Wei, et al.. (2023). A Reconfigurable Processing Element for Multiple-Precision Floating/Fixed-Point HPC. IEEE Transactions on Circuits & Systems II Express Briefs. 71(3). 1401–1405. 2 indexed citations
8.
Wong, Ngai, et al.. (2023). Analytical Post-Voiding Modeling and Efficient Characterization of EM Failure Effects Under Time-Dependent Current Stressing. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42(12). 4959–4972. 3 indexed citations
9.
Lin, Rui, et al.. (2022). EZCrop: Energy-Zoned Channels for Robust Output Pruning. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 3595–3604. 3 indexed citations
10.
Wong, Ngai, et al.. (2022). Multilayer Perceptron-Based Stress Evolution Analysis Under DC Current Stressing for Multisegment Wires. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 42(2). 544–557. 8 indexed citations
11.
Kazemi, Arman, Ann Franchesca Laguna, Rui Lin, et al.. (2022). Experimentally validated memristive memory augmented neural network with efficient hashing and similarity search. Nature Communications. 13(1). 6284–6284. 43 indexed citations
12.
Wong, Ngai, et al.. (2022). A Space–Time Neural Network for Analysis of Stress Evolution Under DC Current Stressing. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(12). 5501–5514. 8 indexed citations
13.
Qi, Xiaojuan, et al.. (2022). Fast Classification and Action Recognition With Event-Based Imaging. IEEE Access. 10. 55638–55649. 11 indexed citations
14.
Kamenskii, Mikhail A., et al.. (2021). On bounded solutions of semilinear fractional order differential inclusions in Hilbert spaces. Journal of Nonlinear and Variational Analysis. 5(2). 4 indexed citations
15.
Batselier, Kim, et al.. (2016). Parallelized Tensor Train Learning For Polynomial Pattern Classification. arXiv (Cornell University). 1 indexed citations
16.
Yu, Wenjian, et al.. (2012). Efficient variation-aware EM-semiconductor coupled solver for the TSV structures in 3D IC. Design, Automation, and Test in Europe. 1409–1412. 1 indexed citations
17.
Wong, Ngai. (2007). Fast positive-real balanced truncation of symmetric systems using cross Riccati equations. Design, Automation, and Test in Europe. 1496–1501. 2 indexed citations
18.
Lei, Chi‐Un, et al.. (2007). A Common Subexpression Sharing Approach for Multiplierless Synthesis of Multiple Constant Multiplications. Engineering letters. 15. 149–156.
19.
Shen, Yijiang, Edmund Y. Lam, & Ngai Wong. (2006). Robust Binary Image Deconvolution with Positive Semidefinite Programming. The HKU Scholars Hub (University of Hong Kong). 537–542. 6 indexed citations
20.
Wong, Ngai. (2004). Fast detection of instability in sigma-delta modulators based on unstable embedded limit cycles. IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing. 51(12). 442–449.

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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