Xiaofeng Gong
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 2%
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Artificial Intelligence
- Co-authors
- Choy Heng LaiXingang WangShuguang GuanMeng ZhanKun LiGuo-Wei WeiChing–Yi LaiChih‐Huang Lai
- Topics
- Chaos control and synchronization (10 papers)Nonlinear Dynamics and Pattern Formation (9 papers)Opinion Dynamics and Social Influence (4 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Xiaofeng Gong
24 papers receiving 357 citations
Peers
Comparison fields: 5 of 58
- Computer Networks and Communications 258
- Statistical and Nonlinear Physics 248
- Computer Vision and Pattern Recognition 31
- Electrical and Electronic Engineering 28
- Artificial Intelligence 26
Countries citing papers authored by Xiaofeng Gong
This map shows the geographic impact of Xiaofeng Gong'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 Xiaofeng Gong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofeng Gong more than expected).
Fields of papers citing papers by Xiaofeng Gong
This network shows the impact of papers produced by Xiaofeng Gong. 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 Xiaofeng Gong. The network helps show where Xiaofeng Gong may publish in the future.
Co-authorship network of co-authors of Xiaofeng Gong
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofeng Gong. A scholar is included among the top collaborators of Xiaofeng Gong 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 Xiaofeng Gong. Xiaofeng Gong 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 | 1 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 8 | |
| 6 | 10 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 19 | |
| 10 | 2 | |
| 11 | 9 | |
| 12 | 8 | |
| 13 | 16 | |
| 14 | 2 | |
| 15 | 27 | |
| 16 | 96 | |
| 17 | 33 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 3 |
About Xiaofeng Gong
Xiaofeng Gong is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Radiological and Ultrasound Technology, having authored 26 papers that have together received 373 indexed citations. Recurring topics across this work include Chaos control and synchronization (10 papers), Nonlinear Dynamics and Pattern Formation (9 papers) and Opinion Dynamics and Social Influence (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (248 citations), Computer Networks and Communications (258 citations) and Computer Vision and Pattern Recognition (31 citations). Xiaofeng Gong has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Choy Heng Lai, Xingang Wang, Shuguang Guan, Meng Zhan, Kun Li, Guo-Wei Wei, Ching–Yi Lai, Chih‐Huang Lai, Ying‐Cheng Lai and Menghui Li. Their work appears in journals such as Scientific Reports, Physics Letters A and Europhysics Letters (EPL).
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.