K.J. Ray Liu
- Computer Vision and Pattern Recognition top 1%
- Computer Networks and Communications top 2%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Co-authors
- Matthew C. StammMin WuWade TrappeZ.J. WangZhu HanS.-C.B. LoF. Rashid-FarrokhiW. Pam Siriwongpairat
- Topics
- Advanced Wireless Communication Techniques (11 papers)Cooperative Communication and Network Coding (9 papers)Wireless Communication Networks Research (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Networks and Communications
- Journals
- IEEE Transactions on Information TheoryIEEE Transactions on Image ProcessingIEEE Transactions on Signal Processing
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
K.J. Ray Liu
42 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 672
- Computer Networks and Communications 466
- Electrical and Electronic Engineering 394
- Artificial Intelligence 247
- Signal Processing 240
Countries citing papers authored by K.J. Ray Liu
This map shows the geographic impact of K.J. Ray Liu'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 K.J. Ray Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K.J. Ray Liu more than expected).
Fields of papers citing papers by K.J. Ray Liu
This network shows the impact of papers produced by K.J. Ray Liu. 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 K.J. Ray Liu. The network helps show where K.J. Ray Liu may publish in the future.
Co-authorship network of co-authors of K.J. Ray Liu
This figure shows the co-authorship network connecting the top 25 collaborators of K.J. Ray Liu. A scholar is included among the top collaborators of K.J. Ray Liu 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 K.J. Ray Liu. K.J. Ray Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 23 | |
| 3 | 23 | |
| 4 | 3 | |
| 5 | 43 | |
| 6 | 52 | |
| 7 | 33 | |
| 8 | 238 | |
| 9 | Rate Efficient Wireless Image Transmission using MIMO-OFDM | 4 |
| 10 | 9 | |
| 11 | 5 | |
| 12 | 8 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 30 | |
| 16 | 137 | |
| 17 | 90 | |
| 18 | 12 | |
| 19 | 11 | |
| 20 | 57 |
About K.J. Ray Liu
K.J. Ray Liu 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 1.4k indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (11 papers), Cooperative Communication and Network Coding (9 papers) and Wireless Communication Networks Research (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (672 citations), Signal Processing (240 citations) and Computer Networks and Communications (466 citations). K.J. Ray Liu has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Matthew C. Stamm, Min Wu, Wade Trappe, Z.J. Wang, Zhu Han, S.-C.B. Lo, F. Rashid-Farrokhi, W. Pam Siriwongpairat, Weifeng Su and Thanongsak Himsoon. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.
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.