Xiaohua Li
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 2%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Co-authors
- E. Paul RatazziMo ChenWenyu LiuArindam SanyalYing ChenShen Lan-sunHuanqin LiSanjeev Tannirkulam Chandrasekaran
- Topics
- Cooperative Communication and Network Coding (15 papers)Advanced MIMO Systems Optimization (13 papers)Cognitive Radio Networks and Spectrum Sensing (12 papers)
- Cited by
- Computer Networks and CommunicationsElectrical and Electronic EngineeringComputer Vision and Pattern Recognition
- Partner nations
- United StatesChinaSaudi Arabia
In The Last Decade
Xiaohua Li
75 papers receiving 811 citations
Peers
Comparison fields: 5 of 91
- Electrical and Electronic Engineering 566
- Computer Networks and Communications 432
- Artificial Intelligence 186
- Computer Vision and Pattern Recognition 172
- Signal Processing 56
Countries citing papers authored by Xiaohua Li
This map shows the geographic impact of Xiaohua Li'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 Xiaohua Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohua Li more than expected).
Fields of papers citing papers by Xiaohua Li
This network shows the impact of papers produced by Xiaohua Li. 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 Xiaohua Li. The network helps show where Xiaohua Li may publish in the future.
Co-authorship network of co-authors of Xiaohua Li
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohua Li. A scholar is included among the top collaborators of Xiaohua Li 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 Xiaohua Li. Xiaohua Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 14 | |
| 3 | 2 | |
| 4 | 22 | |
| 5 | 20 | |
| 6 | 37 | |
| 7 | 11 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 0 | |
| 14 | Image diagnosis algorithm of diseased wheat. | 9 |
| 15 | 1 | |
| 16 | 1 | |
| 17 | Blind adaptive equalization of OFDM transmission with insufficient cyclic prefix | 1 |
| 18 | Transmitter-based channel equalization and MUI suppression for UWB systems | 5 |
| 19 | 1 | |
| 20 | 9 |
About Xiaohua Li
Xiaohua Li is a scholar working on Computer Networks and Communications, Signal Processing and Computer Vision and Pattern Recognition, having authored 79 papers that have together received 871 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (15 papers), Advanced MIMO Systems Optimization (13 papers) and Cognitive Radio Networks and Spectrum Sensing (12 papers). The work is most often cited by research in Computer Networks and Communications (432 citations), Electrical and Electronic Engineering (566 citations) and Computer Vision and Pattern Recognition (172 citations). Xiaohua Li has collaborated with scholars based in United States, China and Saudi Arabia. Frequent co-authors include E. Paul Ratazzi, Mo Chen, Wenyu Liu, Arindam Sanyal, Ying Chen, Shen Lan-sun, Huanqin Li, Sanjeev Tannirkulam Chandrasekaran, Jiliu Zhou and Jian Zheng. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Access and Sensors.
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.