Xiaobing Nie
- Computer Networks and Communications top 1%
- Statistical and Nonlinear Physics top 1%
- Artificial Intelligence top 2%
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Co-authors
- Jinde CaoWei Xing ZhengJinling LiangZhichun YangXinsong YangShumin FeiPingping LiuZhenkun Huang
- Topics
- Neural Networks Stability and Synchronization (39 papers)Neural Networks and Applications (23 papers)stochastic dynamics and bifurcation (15 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsArtificial Intelligence
- Journals
- IEEE Transactions on CyberneticsIEEE Transactions on Neural Networks and Learning SystemsNeurocomputing
- Partner nations
- ChinaAustraliaSouth Korea
In The Last Decade
Xiaobing Nie
48 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 54
- Computer Networks and Communications 1.0k
- Statistical and Nonlinear Physics 596
- Artificial Intelligence 563
- Electrical and Electronic Engineering 361
- Control and Systems Engineering 182
Countries citing papers authored by Xiaobing Nie
This map shows the geographic impact of Xiaobing Nie'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 Xiaobing Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaobing Nie more than expected).
Fields of papers citing papers by Xiaobing Nie
This network shows the impact of papers produced by Xiaobing Nie. 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 Xiaobing Nie. The network helps show where Xiaobing Nie may publish in the future.
Co-authorship network of co-authors of Xiaobing Nie
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobing Nie. A scholar is included among the top collaborators of Xiaobing Nie 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 Xiaobing Nie. Xiaobing Nie 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 | 3 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 27 | |
| 11 | 0 | |
| 12 | 11 | |
| 13 | 49 | |
| 14 | 72 | |
| 15 | 45 | |
| 16 | Exponential stability of multiple equilibria for memristive Cohen-Grossberg neural networks with non-monotonic activation functions | 2 |
| 17 | 56 | |
| 18 | 73 | |
| 19 | 66 | |
| 20 | 25 |
About Xiaobing Nie
Xiaobing Nie is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Artificial Intelligence, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (39 papers), Neural Networks and Applications (23 papers) and stochastic dynamics and bifurcation (15 papers). The work is most often cited by research in Statistical and Nonlinear Physics (596 citations), Computer Networks and Communications (1.0k citations) and Artificial Intelligence (563 citations). Xiaobing Nie has collaborated with scholars based in China, Australia and South Korea. Frequent co-authors include Jinde Cao, Wei Xing Zheng, Jinling Liang, Zhichun Yang, Xinsong Yang, Shumin Fei, Pingping Liu, Zhenkun Huang, Xuan Zhao and Chengdai Huang. Their work appears in journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.
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.