Wing W. Y. Ng
- Artificial Intelligence top 0.2%
- Computer Vision and Pattern Recognition top 0.5%
- Computational Theory and Mathematics top 0.5%
- Electrical and Electronic Engineering top 5%
- Information Systems top 0.5%
- Co-authors
- Eric C.C. TsangDaniel YeungXizhao WangPatrick P. K. ChanDegang ChenJunhyeong LeeMohsen Bahmani‐ÓskooeeRicardo A. Burdisso
- Topics
- Neural Networks and Applications (70 papers)Advanced Image and Video Retrieval Techniques (54 papers)Face and Expression Recognition (46 papers)
- Cited by
- Artificial IntelligenceComputational Theory and MathematicsComputer Vision and Pattern Recognition
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceThe Journal of Physical ChemistryIEEE Transactions on Power Systems
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Wing W. Y. Ng
377 papers receiving 5.9k citations
Peers
Comparison fields: 5 of 175
- Artificial Intelligence 2.7k
- Computer Vision and Pattern Recognition 1.4k
- Computational Theory and Mathematics 1.1k
- Electrical and Electronic Engineering 871
- Information Systems 784
Countries citing papers authored by Wing W. Y. Ng
This map shows the geographic impact of Wing W. Y. 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 Wing W. Y. Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wing W. Y. Ng more than expected).
Fields of papers citing papers by Wing W. Y. Ng
This network shows the impact of papers produced by Wing W. Y. 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 Wing W. Y. Ng. The network helps show where Wing W. Y. Ng may publish in the future.
Co-authorship network of co-authors of Wing W. Y. Ng
This figure shows the co-authorship network connecting the top 25 collaborators of Wing W. Y. Ng. A scholar is included among the top collaborators of Wing W. Y. 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 Wing W. Y. Ng. Wing W. Y. Ng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 46 | |
| 9 | 4 | |
| 10 | 14 | |
| 11 | 12 | |
| 12 | 8 | |
| 13 | 31 | |
| 14 | 12 | |
| 15 | 4 | |
| 16 | 32 | |
| 17 | 54 | |
| 18 | 1 | |
| 19 | Long-Run Demand for Money in Hong Kong: An Application of the ARDL Model | 181 |
| 20 | 7 |
About Wing W. Y. Ng
Wing W. Y. Ng is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics, having authored 411 papers that have together received 6.2k indexed citations. Recurring topics across this work include Neural Networks and Applications (70 papers), Advanced Image and Video Retrieval Techniques (54 papers) and Face and Expression Recognition (46 papers). The work is most often cited by research in Artificial Intelligence (2.7k citations), Computational Theory and Mathematics (1.1k citations) and Computer Vision and Pattern Recognition (1.4k citations). Wing W. Y. Ng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Eric C.C. Tsang, Daniel Yeung, Xizhao Wang, Patrick P. K. Chan, Degang Chen, Daniel Yeung, Junhyeong Lee, Mohsen Bahmani‐Óskooee, Ricardo A. Burdisso and Witold Pedrycz. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Journal of Physical Chemistry and IEEE Transactions on Power Systems.
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.