Ming Ming Wong

422 total citations
37 papers, 306 citations indexed

About

Ming Ming Wong is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ming Ming Wong has authored 37 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 13 papers in Electrical and Electronic Engineering and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ming Ming Wong's work include Cryptographic Implementations and Security (23 papers), Coding theory and cryptography (14 papers) and Advanced Memory and Neural Computing (9 papers). Ming Ming Wong is often cited by papers focused on Cryptographic Implementations and Security (23 papers), Coding theory and cryptography (14 papers) and Advanced Memory and Neural Computing (9 papers). Ming Ming Wong collaborates with scholars based in Singapore, Malaysia and Australia. Ming Ming Wong's co-authors include M. L. Dennis Wong, Anupam Chattopadhyay, Asoke K. Nandi, Anh Tuan, Cong Zhang, Vikramkumar Pudi, Wang Ling Goh, Cishen Zhang, Shivam Bhasin and Tao Luo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurocomputing and Electronics Letters.

In The Last Decade

Ming Ming Wong

35 papers receiving 277 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming Ming Wong Singapore 11 231 110 87 80 43 37 306
Honorio Martín Spain 11 97 0.4× 104 0.9× 97 1.1× 122 1.5× 29 0.7× 32 276
Fatemeh Tehranipoor United States 11 75 0.3× 47 0.4× 117 1.3× 148 1.9× 54 1.3× 30 244
Keiichi Iwamura Japan 9 161 0.7× 106 1.0× 53 0.6× 46 0.6× 30 0.7× 86 295
Rei Ueno Japan 9 206 0.9× 96 0.9× 62 0.7× 122 1.5× 39 0.9× 49 277
Weize Yu United States 15 316 1.4× 158 1.4× 206 2.4× 351 4.4× 48 1.1× 48 517
Wenping Zhu China 10 137 0.6× 122 1.1× 117 1.3× 42 0.5× 15 0.3× 34 306
N. Ramasubramanian India 9 72 0.3× 59 0.5× 72 0.8× 57 0.7× 29 0.7× 59 244
Helena Handschuh France 11 168 0.7× 93 0.8× 95 1.1× 145 1.8× 31 0.7× 24 296
Hassen Mestiri Tunisia 11 241 1.0× 176 1.6× 44 0.5× 138 1.7× 75 1.7× 41 308
Javad Mohajeri Iran 10 233 1.0× 72 0.7× 60 0.7× 63 0.8× 17 0.4× 50 320

Countries citing papers authored by Ming Ming Wong

Since Specialization
Citations

This map shows the geographic impact of Ming Ming 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 Ming Ming Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Ming Wong more than expected).

Fields of papers citing papers by Ming Ming Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Ming 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 Ming Ming Wong. The network helps show where Ming Ming Wong may publish in the future.

Co-authorship network of co-authors of Ming Ming Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Ming Wong. A scholar is included among the top collaborators of Ming Ming 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 Ming Ming Wong. Ming Ming 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.
Wong, Ming Ming. (2024). VLSI implementation and its optimisation for digital cryptosystems. Swinburne Research Bank (Swinburne University of Technology).
2.
Wong, Ming Ming, Jun Zhou, Weng‐Fai Wong, et al.. (2024). 1.63 pJ/SOP Neuromorphic Processor With Integrated Partial Sum Routers for In-Network Computing. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 32(11). 2085–2092. 1 indexed citations
3.
Wong, Ming Ming, Lu Chen, & Anh Tuan. (2021). A 25 TOPS/W High Power Efficiency Deterministic and Split Stochastic MAC (SC-MAC) Design. 1–6. 1 indexed citations
4.
Wong, Ming Ming, et al.. (2021). Energy Efficient 0.5V 4.8pJ/SOP 0.93μW Leakage/Core Neuromorphic Processor Design. IEEE Transactions on Circuits & Systems II Express Briefs. 68(9). 3148–3152. 3 indexed citations
5.
6.
Luo, Tao, Yingnan Cui, Jun Zhou, et al.. (2021). Coreset: Hierarchical neuromorphic computing supporting large-scale neural networks with improved resource efficiency. Neurocomputing. 474. 128–140. 11 indexed citations
7.
Wong, Ming Ming, et al.. (2018). Circuit and system design for optimal lightweight AES encryption on FPGA. DR-NTU (Nanyang Technological University). 45(1). 52–62. 10 indexed citations
8.
Wong, Ming Ming, et al.. (2018). A New High Throughput and Area Efficient SHA-3 Implementation. 1–5. 31 indexed citations
9.
Wong, M. L. Dennis, et al.. (2018). A tree search algorithm for low multiplicative complexity logic design. Future Generation Computer Systems. 83. 132–143. 2 indexed citations
10.
Wong, Ming Ming, Vikramkumar Pudi, & Anupam Chattopadhyay. (2018). Lightweight and High Performance SHA-256 using Architectural Folding and 4-2 Adder Compressor. 95–100. 8 indexed citations
11.
Wong, Ming Ming, et al.. (2017). Stochastic Inner Product Core for Digital FIR Filters. Swinburne Research Bank (Swinburne University of Technology). 12. 246–252. 1 indexed citations
12.
Wong, Ming Ming, et al.. (2017). A novel approach to low multiplicative complexity logic design. Swinburne Research Bank (Swinburne University of Technology). 357. 31–35. 2 indexed citations
13.
Wong, Ming Ming, et al.. (2017). Survey of secure processors. 253–260. 10 indexed citations
14.
Wong, Ming Ming, et al.. (2017). A New Stochastic Inner Product Core Design for Digital FIR Filters. SHILAP Revista de lepidopterología. 125. 5006–5006. 1 indexed citations
15.
16.
Wong, M. L. Dennis, et al.. (2016). Low multiplicative complexity logic minimisation over the basis (AND, XOR, NOT). Electronics Letters. 52(17). 1438–1440. 2 indexed citations
17.
Wong, Ming Ming & M. L. Dennis Wong. (2014). New lightweight AES S-box using LFSR. Swinburne Research Bank (Swinburne University of Technology). 6632. 115–120. 5 indexed citations
18.
Wong, Ming Ming, et al.. (2011). Construction of Optimum Composite Field Architecture for Compact High-Throughput AES S-Boxes. IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 20(6). 1151–1155. 39 indexed citations
19.
Wong, Ming Ming & M. L. Dennis Wong. (2010). A high throughput low power compact AES S-box implementation using composite field arithmetic and Algebraic Normal Form representation. Swinburne Research Bank (Swinburne University of Technology). 3376. 318–323. 16 indexed citations
20.
Wong, Ming Ming & M. L. Dennis Wong. (2010). A new common subexpression elimination algorithm with application in composite field AES S-box. Swinburne Research Bank (Swinburne University of Technology). 452–455. 11 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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