Honghui Xu
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Management Science and Operations Research top 5%
- Signal Processing top 10%
- Co-authors
- Yong DengZhipeng CaiZuobin XiongWei LiYi PanPeng WangMaría Bermúdez-EdoSuparna De
- Topics
- Adversarial Robustness in Machine Learning (5 papers)Network Security and Intrusion Detection (4 papers)Software-Defined Networks and 5G (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessACM Computing Surveys
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Honghui Xu
20 papers receiving 787 citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Artificial Intelligence 343
- Computer Vision and Pattern Recognition 168
- Computer Networks and Communications 111
- Management Science and Operations Research 111
- Signal Processing 89
Countries citing papers authored by Honghui Xu
This map shows the geographic impact of Honghui 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 Honghui Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Honghui Xu more than expected).
Fields of papers citing papers by Honghui Xu
This network shows the impact of papers produced by Honghui 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 Honghui Xu. The network helps show where Honghui Xu may publish in the future.
Co-authorship network of co-authors of Honghui Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Honghui Xu. A scholar is included among the top collaborators of Honghui 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 Honghui Xu. Honghui 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 | 1 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | 60 | |
| 10 | 10 | |
| 11 | 20 | |
| 12 | 15 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 12 | |
| 16 | Generative Adversarial Networksbreakdown → | 226 |
| 17 | 53 | |
| 18 | 80 | |
| 19 | 52 | |
| 20 | 199 |
About Honghui Xu
Honghui Xu is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 22 papers that have together received 808 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (5 papers), Network Security and Intrusion Detection (4 papers) and Software-Defined Networks and 5G (3 papers). The work is most often cited by research in Artificial Intelligence (343 citations), Management Science and Operations Research (111 citations) and Signal Processing (89 citations). Honghui Xu has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Yong Deng, Zhipeng Cai, Zuobin Xiong, Wei Li, Yi Pan, Peng Wang, Wei Li, María Bermúdez-Edo, Suparna De and Boyu Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and ACM Computing Surveys.
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.