Juhn-Horng Chen
- Statistical and Nonlinear Physics top 1%
- Computer Networks and Communications top 5%
- Modeling and Simulation top 1%
- Control and Systems Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Hsien-Keng ChenLong-Jye SheuLap-Mou TamTsung-Nan LinYu-Kai LinWen‐Chin ChenCheng‐Hsien ChenYuan Kang
- Topics
- Chaos control and synchronization (12 papers)Nonlinear Dynamics and Pattern Formation (8 papers)Fractional Differential Equations Solutions (6 papers)
- Cited by
- Modeling and SimulationStatistical and Nonlinear PhysicsComputer Networks and Communications
In The Last Decade
Juhn-Horng Chen
18 papers receiving 706 citations
Peers
Comparison fields: 5 of 53
- Statistical and Nonlinear Physics 494
- Computer Networks and Communications 257
- Modeling and Simulation 232
- Control and Systems Engineering 130
- Computer Vision and Pattern Recognition 91
Countries citing papers authored by Juhn-Horng Chen
This map shows the geographic impact of Juhn-Horng Chen'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 Juhn-Horng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juhn-Horng Chen more than expected).
Fields of papers citing papers by Juhn-Horng Chen
This network shows the impact of papers produced by Juhn-Horng Chen. 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 Juhn-Horng Chen. The network helps show where Juhn-Horng Chen may publish in the future.
Co-authorship network of co-authors of Juhn-Horng Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Juhn-Horng Chen. A scholar is included among the top collaborators of Juhn-Horng Chen 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 Juhn-Horng Chen. Juhn-Horng Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 34 | |
| 3 | 21 | |
| 4 | 9 | |
| 5 | 59 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 19 | |
| 9 | 5 | |
| 10 | 35 | |
| 11 | 90 | |
| 12 | 89 | |
| 13 | 62 | |
| 14 | 38 | |
| 15 | 119 | |
| 16 | 51 | |
| 17 | 62 | |
| 18 | 18 |
About Juhn-Horng Chen
Juhn-Horng Chen is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Computer Networks and Communications, having authored 18 papers that have together received 743 indexed citations. Recurring topics across this work include Chaos control and synchronization (12 papers), Nonlinear Dynamics and Pattern Formation (8 papers) and Fractional Differential Equations Solutions (6 papers). The work is most often cited by research in Modeling and Simulation (232 citations), Statistical and Nonlinear Physics (494 citations) and Computer Networks and Communications (257 citations). Juhn-Horng Chen has collaborated with scholars based in Taiwan and Macao. Frequent co-authors include Hsien-Keng Chen, Long-Jye Sheu, Lap-Mou Tam, Tsung-Nan Lin, Yu-Kai Lin, Wen‐Chin Chen, Cheng‐Hsien Chen, Yuan Kang, An‐Chen Lee and Shih‐Yao Chen. Their work appears in journals such as Japanese Journal of Applied Physics, Chaos Solitons & Fractals and The International Journal of Advanced Manufacturing Technology.
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.