Guang Hu
- Computer Networks and Communications top 0.5%
- Statistical and Nonlinear Physics top 0.2%
- Molecular Biology top 5%
- Cognitive Neuroscience top 5%
- Oncology top 10%
- Co-authors
- Bambi HuZhigang ZhengHong ZhangJunzhong YangWenying YanZhongjie LiangZhilin QuBairong Shen
- Topics
- Nonlinear Dynamics and Pattern Formation (111 papers)Chaos control and synchronization (33 papers)stochastic dynamics and bifurcation (31 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsCognitive Neuroscience
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersJournal of Biological Chemistry
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Guang Hu
256 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 164
- Computer Networks and Communications 2.1k
- Statistical and Nonlinear Physics 1.8k
- Molecular Biology 1.4k
- Cognitive Neuroscience 648
- Oncology 349
Countries citing papers authored by Guang Hu
This map shows the geographic impact of Guang Hu'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 Guang Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guang Hu more than expected).
Fields of papers citing papers by Guang Hu
This network shows the impact of papers produced by Guang Hu. 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 Guang Hu. The network helps show where Guang Hu may publish in the future.
Co-authorship network of co-authors of Guang Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Guang Hu. A scholar is included among the top collaborators of Guang Hu 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 Guang Hu. Guang Hu 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 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 21 | |
| 6 | 19 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 13 | |
| 13 | 1 | |
| 14 | 10 | |
| 15 | 6 | |
| 16 | 13 | |
| 17 | 5 | |
| 18 | 26 | |
| 19 | 54 | |
| 20 | 13 |
About Guang Hu
Guang Hu is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Biophysics, having authored 268 papers that have together received 4.4k indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (111 papers), Chaos control and synchronization (33 papers) and stochastic dynamics and bifurcation (31 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.8k citations), Computer Networks and Communications (2.1k citations) and Cognitive Neuroscience (648 citations). Guang Hu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bambi Hu, Zhigang Zheng, Hong Zhang, Junzhong Yang, Wenying Yan, Zhongjie Liang, Zhilin Qu, Bairong Shen, Meng Zhan and Zhoujian Cao. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Biological Chemistry.
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.