Wei Dai
Impact in
- Computational Mathematics top 5%
- Signal Processing top 5%
- Video Coding and Compression Technologies
Papers in
-
- Advanced Data Compression Techniques 20
- Advanced Vision and Imaging 17
- Advanced Image Processing Techniques 10
- Image and Video Quality Assessment 9
- Robotic Path Planning Algorithms 7
-
- Video Coding and Compression Technologies 26
- Co-authors
- Gongjian Wen (2 shared papers)Xing Zhang (2 shared papers)Huimin Lu (11 shared papers)Oscar C. Au (23 shared papers)Zhiqiang Zheng (5 shared papers)Junhao Xiao (5 shared papers)Zhiwen Zeng (2 shared papers)Trac D. Tran (4 shared papers)
In The Last Decade
Wei Dai
82 papers receiving 792 citations
Peers
Comparison fields: 5 of 129
- Computational Mathematics 23
- Signal Processing 199
- Computer Vision and Pattern Recognition 345
- Media Technology 129
- Computer Networks and Communications 122
Countries citing papers authored by Wei Dai
This map shows the geographic impact of Wei Dai'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 Wei Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Dai more than expected).
Fields of papers citing papers by Wei Dai
This network shows the impact of papers produced by Wei Dai. 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 Wei Dai. The network helps show where Wei Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Dai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 131 | |
| 2 | 2020 | 55 | |
| 3 | 2020 | 49 | |
| 4 | 2019 | 49 | |
| 5 | 2018 | 37 | |
| 6 | 2019 | 30 | |
| 7 | 2003 | 28 | |
| 8 | 2015 | 21 | |
| 9 | 2004 | 20 | |
| 10 | 2012 | 18 | |
| 11 | 2012 | 17 | |
| 12 | 2003 | 17 | |
| 13 | 2013 | 16 | |
| 14 | 2012 | 15 | |
| 15 | 2005 | 15 | |
| 16 | 2018 | 14 | |
| 17 | 2020 | 12 | |
| 18 | 2024 | 12 | |
| 19 | 2012 | 12 | |
| 20 | 2019 | 11 |
About Wei Dai
Wei Dai is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Computer Networks and Communications and Information Systems, having authored 91 papers that have together received 827 indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (26 papers), Advanced Data Compression Techniques (20 papers), Advanced Vision and Imaging (17 papers), Advanced Image Processing Techniques (10 papers), Image and Video Quality Assessment (9 papers), Robotic Path Planning Algorithms (7 papers), Service-Oriented Architecture and Web Services (6 papers) and Intracranial Aneurysms: Treatment and Complications (6 papers). The work is most often cited by research in Computational Mathematics (23 citations), Signal Processing (199 citations), Computer Vision and Pattern Recognition (345 citations), Media Technology (129 citations) and Computer Networks and Communications (122 citations). Wei Dai has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Gongjian Wen, Xing Zhang, Huimin Lu, Oscar C. Au, Zhiqiang Zheng, Junhao Xiao, Zhiwen Zeng, Trac D. Tran, Weijia Yao and Sijin Li. Their work appears in journals such as Journal of Intelligent & Robotic Systems, IEEE Robotics and Automation Letters, Journal of Integrative Neuroscience, World Neurosurgery and Electronics.
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.