Sam Kwong
- Computer Vision and Pattern Recognition top 0.02%
- Image and Video Quality Assessment 130
- Advanced Image Processing Techniques 113
- Advanced Vision and Imaging 113
- Advanced Data Compression Techniques 68
- Signal Processing top 0.05%
- Video Coding and Compression Technologies 138
- Computational Theory and Mathematics top 0.05%
- Advanced Multi-Objective Optimization Algorithms 78
- Media Technology top 0.05%
- Artificial Intelligence top 0.05%
- Metaheuristic Optimization Algorithms Research 97
- Evolutionary Algorithms and Applications 62
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputational Theory and Mathematics
- Journals
- IEEE Transactions on Circuits and Systems for Video Technology (58 papers)IEEE Transactions on Image Processing (42 papers)IEEE Transactions on Multimedia (41 papers)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Sam Kwong
629 papers receiving 23.7k citations
Hit Papers
Peers
Comparison fields: 5 of 201
- Computer Vision and Pattern Recognition 11.0k
- Signal Processing 3.7k
- Computational Theory and Mathematics 4.3k
- Media Technology 2.4k
- Artificial Intelligence 8.5k
Countries citing papers authored by Sam Kwong
This map shows the geographic impact of Sam Kwong'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 Sam Kwong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam Kwong more than expected).
Fields of papers citing papers by Sam Kwong
This network shows the impact of papers produced by Sam Kwong. 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 Sam Kwong. The network helps show where Sam Kwong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sam Kwong, 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 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 7 | |
| 10 | 2024 | 27 | |
| 11 | 2023 | 17 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 38 | |
| 14 | 2022 | 1 | |
| 15 | 2022 | 24 | |
| 16 | 2022 | 17 | |
| 17 | 2021 | 25 | |
| 18 | 2020 | 24 | |
| 19 | 2020 | 23 | |
| 20 | 2020 | 57 |
About Sam Kwong
Sam Kwong is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology, having authored 671 papers that have together received 24.5k indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (138 papers), Image and Video Quality Assessment (130 papers), Advanced Image Processing Techniques (113 papers), Advanced Vision and Imaging (113 papers), Metaheuristic Optimization Algorithms Research (97 papers), Advanced Multi-Objective Optimization Algorithms (78 papers), Advanced Data Compression Techniques (68 papers) and Evolutionary Algorithms and Applications (62 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (11.0k citations), Signal Processing (3.7k citations) and Computational Theory and Mathematics (4.3k citations). Sam Kwong has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include K.F. Man, K.S. Tang, Guopu Zhu, Ke Li, Qingfu Zhang, Junhui Hou, Yun Zhang, Hanli Wang, Jun Zhang and Runmin Cong. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, IEEE Transactions on Cybernetics and Information Sciences.
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.