Xiaoming Liang
- Statistical and Nonlinear Physics top 2%
- Computer Networks and Communications top 5%
- Cognitive Neuroscience top 10%
- Atomic and Molecular Physics, and Optics
- Cellular and Molecular Neuroscience
- Co-authors
- Zonghua LiuLiang ZhaoMing TangMukeshwar DhamalaP. M. HuiXiyun ZhangChanggui GuHuijie Yang
- Topics
- stochastic dynamics and bifurcation (24 papers)Nonlinear Dynamics and Pattern Formation (22 papers)Neural dynamics and brain function (13 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsCognitive Neuroscience
- Partner nations
- ChinaBrazilUnited States
In The Last Decade
Xiaoming Liang
42 papers receiving 476 citations
Peers
Comparison fields: 5 of 68
- Statistical and Nonlinear Physics 371
- Computer Networks and Communications 306
- Cognitive Neuroscience 218
- Atomic and Molecular Physics, and Optics 54
- Cellular and Molecular Neuroscience 50
Countries citing papers authored by Xiaoming Liang
This map shows the geographic impact of Xiaoming Liang'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 Xiaoming Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoming Liang more than expected).
Fields of papers citing papers by Xiaoming Liang
This network shows the impact of papers produced by Xiaoming Liang. 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 Xiaoming Liang. The network helps show where Xiaoming Liang may publish in the future.
Co-authorship network of co-authors of Xiaoming Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoming Liang. A scholar is included among the top collaborators of Xiaoming Liang 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 Xiaoming Liang. Xiaoming Liang 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 | 1 | |
| 3 | 5 | |
| 4 | 4 | |
| 5 | 15 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 19 | |
| 9 | 12 | |
| 10 | 13 | |
| 11 | 20 | |
| 12 | 28 | |
| 13 | 11 | |
| 14 | 3 | |
| 15 | 3 | |
| 16 | 36 | |
| 17 | 67 | |
| 18 | 23 | |
| 19 | Leaching Kinetics of Mechanically Activated Ilmenite Ore | 1 |
| 20 | Point injection of cerebrolysin in treatment of child cerebral palsy | 2 |
About Xiaoming Liang
Xiaoming Liang is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Cognitive Neuroscience, having authored 46 papers that have together received 504 indexed citations. Recurring topics across this work include stochastic dynamics and bifurcation (24 papers), Nonlinear Dynamics and Pattern Formation (22 papers) and Neural dynamics and brain function (13 papers). The work is most often cited by research in Statistical and Nonlinear Physics (371 citations), Computer Networks and Communications (306 citations) and Cognitive Neuroscience (218 citations). Xiaoming Liang has collaborated with scholars based in China, Brazil and United States. Frequent co-authors include Zonghua Liu, Liang Zhao, Ming Tang, Mukeshwar Dhamala, P. M. Hui, Xiyun Zhang, Changgui Gu, Huijie Yang, Jos H. T. Rohling and Huaping Lü. Their work appears in journals such as Scientific Reports, 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.