Zhongwei Si
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Topics
- Advanced Wireless Communication Technologies (25 papers)Cooperative Communication and Network Coding (23 papers)Error Correcting Code Techniques (20 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Information TheoryIEEE Transactions on Signal Processing
- Partner nations
- ChinaSwedenUnited Kingdom
In The Last Decade
Zhongwei Si
56 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Electrical and Electronic Engineering 522
- Computer Networks and Communications 379
- Artificial Intelligence 377
- Computer Vision and Pattern Recognition 301
- Signal Processing 101
Countries citing papers authored by Zhongwei Si
This map shows the geographic impact of Zhongwei Si'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 Zhongwei Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhongwei Si more than expected).
Fields of papers citing papers by Zhongwei Si
This network shows the impact of papers produced by Zhongwei Si. 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 Zhongwei Si. The network helps show where Zhongwei Si may publish in the future.
Co-authorship network of co-authors of Zhongwei Si
This figure shows the co-authorship network connecting the top 25 collaborators of Zhongwei Si. A scholar is included among the top collaborators of Zhongwei Si 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 Zhongwei Si. Zhongwei Si is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 25 | |
| 4 | 17 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | Wireless Deep Video Semantic Transmissionbreakdown → | 136 |
| 8 | Nonlinear Transform Source-Channel Coding for Semantic Communicationsbreakdown → | 191 |
| 9 | 45 | |
| 10 | 11 | |
| 11 | 105 | |
| 12 | 1 | |
| 13 | 35 | |
| 14 | 28 | |
| 15 | 10 | |
| 16 | 7 | |
| 17 | 18 | |
| 18 | 12 | |
| 19 | 2 | |
| 20 | 2 |
About Zhongwei Si
Zhongwei Si is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Wireless Communication Technologies (25 papers), Cooperative Communication and Network Coding (23 papers) and Error Correcting Code Techniques (20 papers). The work is most often cited by research in Computer Networks and Communications (379 citations), Computer Vision and Pattern Recognition (301 citations) and Artificial Intelligence (377 citations). Zhongwei Si has collaborated with scholars based in China, Sweden and United Kingdom. Frequent co-authors include Kai Niu, Jincheng Dai, Sixian Wang, Ping Zhang, Xiaoqi Qin, Zhanyu Ma, Kailin Tan, Jiyang Xie, Jun Guo and Chao Dong. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory 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.