Nian Wang
Impact in
-
- Chaos control and synchronization
- stochastic dynamics and bifurcation
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
Papers in
-
- Chaos control and synchronization 7
- stochastic dynamics and bifurcation 5
-
- Neural Networks Stability and Synchronization 8
- Nonlinear Dynamics and Pattern Formation 3
Nian Wang
38 papers receiving 476 citations
Peers
Comparison fields: 5 of 119
- Statistical and Nonlinear Physics 124
- Modeling and Simulation 42
- Computer Networks and Communications 92
- Computer Vision and Pattern Recognition 56
- Automotive Engineering 28
Countries citing papers authored by Nian Wang
This map shows the geographic impact of Nian Wang'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 Nian Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nian Wang more than expected).
Fields of papers citing papers by Nian Wang
This network shows the impact of papers produced by Nian Wang. 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 Nian Wang. The network helps show where Nian Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Nian Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 5 | |
| 4 | 2023 | 9 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 28 | |
| 7 | 2020 | 12 | |
| 8 | 2019 | 5 | |
| 9 | 2019 | 14 | |
| 10 | 2019 | 5 | |
| 11 | 2019 | 4 | |
| 12 | 2018 | 13 | |
| 13 | 2018 | 2 | |
| 14 | 2017 | 17 | |
| 15 | 2017 | 30 | |
| 16 | 2017 | 2 | |
| 17 | Construction and Characteristics of Relationships Network Model Based on Complex Network Theory | 2012 | 1 |
| 18 | Research of Searching High Gray Scale FPD Scanning Matrix Based on Genetic Algorithm | 2011 | 1 |
| 19 | 2011 | 2 | |
| 20 | The Effect of Regular Health Education on Rehabilitation of Outpatients with Schizophrenia in Rural Areas | 2008 | 1 |
About Nian Wang
Nian Wang is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Computer Vision and Pattern Recognition, Rehabilitation and Museology, having authored 40 papers that have together received 487 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (8 papers), Chaos control and synchronization (7 papers), stochastic dynamics and bifurcation (5 papers), Video Surveillance and Tracking Methods (3 papers), Nonlinear Dynamics and Pattern Formation (3 papers), Stroke Rehabilitation and Recovery (2 papers), Machine Learning and ELM (2 papers) and Advanced Memory and Neural Computing (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (124 citations), Modeling and Simulation (42 citations), Computer Networks and Communications (92 citations), Computer Vision and Pattern Recognition (56 citations) and Automotive Engineering (28 citations). Nian Wang has collaborated with scholars based in China, Mexico and United States. Frequent co-authors include Dawei Ding, Dong Liang, Wei Hu, Dong Liang, Yaqin Zhang, Wei Hu, Yuyao Zhang, Eric Gibbs, Hongjiang Wei and Chunlei Liu. Their work appears in journals such as Neurocomputing, PLoS ONE, Scientific Reports, Journal of Computational and Nonlinear Dynamics and Journal of Visual Communication and Image Representation.
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.