Yubing Gong
- Statistical and Nonlinear Physics top 2%
- Cognitive Neuroscience top 5%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Molecular Biology
- Co-authors
- Houwen XinZhonghuai HouXiao‐Guang MaQi WangMaosheng WangChuan‐Lu YangLin XiuLi Wang
- Topics
- stochastic dynamics and bifurcation (42 papers)Nonlinear Dynamics and Pattern Formation (29 papers)Neural dynamics and brain function (29 papers)
- Cited by
- Statistical and Nonlinear PhysicsCognitive NeuroscienceComputer Networks and Communications
- Journals
- The Journal of Chemical PhysicsThe Journal of Physical Chemistry BThe Journal of Physical Chemistry C
- Partner nations
- ChinaUnited States
In The Last Decade
Yubing Gong
64 papers receiving 540 citations
Peers
Comparison fields: 5 of 51
- Statistical and Nonlinear Physics 421
- Cognitive Neuroscience 332
- Computer Networks and Communications 281
- Electrical and Electronic Engineering 92
- Molecular Biology 66
Countries citing papers authored by Yubing Gong
This map shows the geographic impact of Yubing 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 Yubing Gong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yubing Gong more than expected).
Fields of papers citing papers by Yubing Gong
This network shows the impact of papers produced by Yubing 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 Yubing Gong. The network helps show where Yubing Gong may publish in the future.
Co-authorship network of co-authors of Yubing Gong
This figure shows the co-authorship network connecting the top 25 collaborators of Yubing Gong. A scholar is included among the top collaborators of Yubing 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 Yubing Gong. Yubing 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 | 3 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 15 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 36 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 24 | |
| 16 | 11 | |
| 17 | 20 | |
| 18 | 23 | |
| 19 | 0 | |
| 20 | 73 |
About Yubing Gong
Yubing Gong is a scholar working on Statistical and Nonlinear Physics, Cognitive Neuroscience and Computer Networks and Communications, having authored 74 papers that have together received 560 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (42 papers), Nonlinear Dynamics and Pattern Formation (29 papers) and Neural dynamics and brain function (29 papers). The work is most often cited by research in Statistical and Nonlinear Physics (421 citations), Cognitive Neuroscience (332 citations) and Computer Networks and Communications (281 citations). Yubing Gong has collaborated with scholars based in China and United States. Frequent co-authors include Houwen Xin, Zhonghuai Hou, Xiao‐Guang Ma, Qi Wang, Maosheng Wang, Chuan‐Lu Yang, Lin Xiu, Li Wang, Baoying Wang and Bo Xu. Their work appears in journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and The Journal of Physical Chemistry C.
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.