Dongshu Wang
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Public Health, Environmental and Occupational Health
- Co-authors
- Lihong HuangLongkun TangZuowei CaiXiaoqin ZengLingling ZhangAhmed A. IssaMaximilian AmslerVinay I. Hegde
- Topics
- Neural Networks Stability and Synchronization (16 papers)Mathematical and Theoretical Epidemiology and Ecology Models (13 papers)stochastic dynamics and bifurcation (10 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Networks and CommunicationsModeling and Simulation
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Dongshu Wang
33 papers receiving 499 citations
Peers
Comparison fields: 5 of 43
- Computer Networks and Communications 351
- Statistical and Nonlinear Physics 218
- Electrical and Electronic Engineering 111
- Artificial Intelligence 91
- Public Health, Environmental and Occupational Health 52
Countries citing papers authored by Dongshu Wang
This map shows the geographic impact of Dongshu 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 Dongshu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongshu Wang more than expected).
Fields of papers citing papers by Dongshu Wang
This network shows the impact of papers produced by Dongshu 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 Dongshu Wang. The network helps show where Dongshu Wang may publish in the future.
Co-authorship network of co-authors of Dongshu Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Dongshu Wang. A scholar is included among the top collaborators of Dongshu Wang 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 Dongshu Wang. Dongshu Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | 10 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 22 | |
| 7 | 3 | |
| 8 | 47 | |
| 9 | 34 | |
| 10 | 20 | |
| 11 | 2 | |
| 12 | 13 | |
| 13 | 54 | |
| 14 | 22 | |
| 15 | 21 | |
| 16 | 39 | |
| 17 | 1 | |
| 18 | 8 | |
| 19 | 5 | |
| 20 | 2 |
About Dongshu Wang
Dongshu Wang is a scholar working on Modeling and Simulation, Applied Mathematics and Statistical and Nonlinear Physics, having authored 35 papers that have together received 502 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (16 papers), Mathematical and Theoretical Epidemiology and Ecology Models (13 papers) and stochastic dynamics and bifurcation (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (218 citations), Computer Networks and Communications (351 citations) and Modeling and Simulation (32 citations). Dongshu Wang has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Lihong Huang, Longkun Tang, Zuowei Cai, Lihong Huang, Xiaoqin Zeng, Lingling Zhang, Ahmed A. Issa, Maximilian Amsler, Vinay I. Hegde and Bi‐Cheng Zhou. Their work appears in journals such as Acta Materialia, 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.