Guangkui Xu
- Signal Processing top 1%
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 5%
- Artificial Intelligence top 5%
- Computational Mechanics top 5%
- Topics
- Coding theory and cryptography (28 papers)graph theory and CDMA systems (24 papers)Direction-of-Arrival Estimation Techniques (22 papers)
- Cited by
- Signal ProcessingDiscrete Mathematics and CombinatoricsComputer Networks and Communications
- Journals
- IEEE Transactions on Information TheoryIEEE Transactions on Signal ProcessingIEEE Transactions on Communications
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Guangkui Xu
65 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 63
- Signal Processing 567
- Electrical and Electronic Engineering 553
- Computer Networks and Communications 312
- Artificial Intelligence 305
- Computational Mechanics 216
Countries citing papers authored by Guangkui Xu
This map shows the geographic impact of Guangkui Xu'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 Guangkui Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangkui Xu more than expected).
Fields of papers citing papers by Guangkui Xu
This network shows the impact of papers produced by Guangkui Xu. 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 Guangkui Xu. The network helps show where Guangkui Xu may publish in the future.
Co-authorship network of co-authors of Guangkui Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Guangkui Xu. A scholar is included among the top collaborators of Guangkui Xu 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 Guangkui Xu. Guangkui Xu 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 | 9 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 26 | |
| 6 | 13 | |
| 7 | 12 | |
| 8 | 3 | |
| 9 | 14 | |
| 10 | 2 | |
| 11 | 15 | |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 14 | |
| 15 | 22 | |
| 16 | 8 | |
| 17 | 38 | |
| 18 | 6 | |
| 19 | 19 | |
| 20 | Detection of multiple sinusoids in white noise: a signal enhancement approach | 3 |
About Guangkui Xu
Guangkui Xu is a scholar working on Signal Processing, Discrete Mathematics and Combinatorics and Artificial Intelligence, having authored 73 papers that have together received 1.1k indexed citations. Recurring topics across this work include Coding theory and cryptography (28 papers), graph theory and CDMA systems (24 papers) and Direction-of-Arrival Estimation Techniques (22 papers). The work is most often cited by research in Signal Processing (567 citations), Discrete Mathematics and Combinatorics (47 citations) and Computer Networks and Communications (312 citations). Guangkui Xu has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include T. Kailath, Lang Tong, Xiwang Cao, Longjiang Qu, A. Paulraj, A.F. Naguib, W.J. Vogel, Hsin‐Piao Lin, Shiann‐Shiun Jeng and Kapil R. Dandekar. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing and IEEE Transactions on Communications.
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.