Ming Ming Wong
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Hardware and Architecture top 10%
- Signal Processing
- Co-authors
- M. L. Dennis WongAnupam ChattopadhyayAsoke K. NandiAnh TuanCong ZhangVikramkumar PudiWang Ling GohCishen Zhang
- Topics
- Cryptographic Implementations and Security (23 papers)Coding theory and cryptography (14 papers)Advanced Memory and Neural Computing (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeurocomputingElectronics Letters
In The Last Decade
Ming Ming Wong
35 papers receiving 277 citations
Peers
Comparison fields: 5 of 33
- Artificial Intelligence 231
- Computer Vision and Pattern Recognition 110
- Electrical and Electronic Engineering 87
- Hardware and Architecture 80
- Signal Processing 43
Countries citing papers authored by Ming Ming Wong
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 11 | |
| 7 | Circuit and system design for optimal lightweight AES encryption on FPGA | 10 |
| 8 | 31 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | Stochastic Inner Product Core for Digital FIR Filters | 1 |
| 12 | 2 | |
| 13 | 10 | |
| 14 | 1 | |
| 15 | 0 | |
| 16 | 2 | |
| 17 | 5 | |
| 18 | 39 | |
| 19 | 16 | |
| 20 | 11 |
About Ming Ming Wong
Ming Ming Wong is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 37 papers that have together received 306 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (23 papers), Coding theory and cryptography (14 papers) and Advanced Memory and Neural Computing (9 papers). The work is most often cited by research in Hardware and Architecture (80 citations), Artificial Intelligence (231 citations) and Computer Vision and Pattern Recognition (110 citations). Ming Ming Wong has collaborated with scholars based in Singapore, Malaysia and Australia. Frequent 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. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurocomputing and Electronics Letters.
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.