Sze Wei Lee
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 5%
- Biomedical Engineering
- Co-authors
- Yoong Choon ChangRyoichi KomiyaMamun Bin Ibne ReazJohn SeeSeong Jin JoS. J. LeeHong Koo BaikChang‐Sung Kim
- Topics
- Video Coding and Compression Technologies (8 papers)Advanced Data Compression Techniques (7 papers)Advanced MIMO Systems Optimization (7 papers)
- Cited by
- Signal ProcessingComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Journals
- Advanced Functional MaterialsIEEE Transactions on Circuits and Systems for Video TechnologyComputers and Electronics in Agriculture
- Partner nations
- MalaysiaUnited StatesIndonesia
In The Last Decade
Sze Wei Lee
40 papers receiving 385 citations
Peers
Comparison fields: 5 of 64
- Electrical and Electronic Engineering 204
- Computer Networks and Communications 124
- Computer Vision and Pattern Recognition 106
- Signal Processing 106
- Biomedical Engineering 43
Countries citing papers authored by Sze Wei Lee
This map shows the geographic impact of Sze Wei Lee'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 Sze Wei Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sze Wei Lee more than expected).
Fields of papers citing papers by Sze Wei Lee
This network shows the impact of papers produced by Sze Wei Lee. 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 Sze Wei Lee. The network helps show where Sze Wei Lee may publish in the future.
Co-authorship network of co-authors of Sze Wei Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Sze Wei Lee. A scholar is included among the top collaborators of Sze Wei Lee 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 Sze Wei Lee. Sze Wei Lee 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 | 37 | |
| 3 | Human Motion Detection Using Fuzzy Rule-base Classification Of Moving Blob Regions | 1 |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 33 | |
| 14 | 6 | |
| 15 | 1 | |
| 16 | 5 | |
| 17 | 2 | |
| 18 | 1 | |
| 19 | 0 | |
| 20 | 2 |
About Sze Wei Lee
Sze Wei Lee is a scholar working on Signal Processing, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 44 papers that have together received 420 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (8 papers), Advanced Data Compression Techniques (7 papers) and Advanced MIMO Systems Optimization (7 papers). The work is most often cited by research in Signal Processing (106 citations), Computer Networks and Communications (124 citations) and Computer Vision and Pattern Recognition (106 citations). Sze Wei Lee has collaborated with scholars based in Malaysia, United States and Indonesia. Frequent co-authors include Yoong Choon Chang, Ryoichi Komiya, Mamun Bin Ibne Reaz, John See, Seong Jin Jo, S. J. Lee, Hong Koo Baik, Chang‐Sung Kim, Moh Lim Sim and Wai‐Kong Lee. Their work appears in journals such as Advanced Functional Materials, IEEE Transactions on Circuits and Systems for Video Technology and Computers and Electronics in Agriculture.
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.