Chang‐Yuan Cheng
- Computer Networks and Communications top 5%
- Statistical and Nonlinear Physics top 2%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Public Health, Environmental and Occupational Health
- Co-authors
- Chih-Wen ShihShyan-Shiou ChenYasuhiro TakeuchiZhenkun HuangYoussef N. RaffoulBo-Cheng WangWen‐Jwu WangHsiu‐Fu Hsu
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (13 papers)Evolution and Genetic Dynamics (10 papers)Neural Networks Stability and Synchronization (9 papers)
In The Last Decade
Chang‐Yuan Cheng
28 papers receiving 638 citations
Peers
Comparison fields: 5 of 72
- Computer Networks and Communications 383
- Statistical and Nonlinear Physics 266
- Artificial Intelligence 180
- Electrical and Electronic Engineering 137
- Public Health, Environmental and Occupational Health 113
Countries citing papers authored by Chang‐Yuan Cheng
This map shows the geographic impact of Chang‐Yuan Cheng'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 Chang‐Yuan Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang‐Yuan Cheng more than expected).
Fields of papers citing papers by Chang‐Yuan Cheng
This network shows the impact of papers produced by Chang‐Yuan Cheng. 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 Chang‐Yuan Cheng. The network helps show where Chang‐Yuan Cheng may publish in the future.
Co-authorship network of co-authors of Chang‐Yuan Cheng
This figure shows the co-authorship network connecting the top 25 collaborators of Chang‐Yuan Cheng. A scholar is included among the top collaborators of Chang‐Yuan Cheng 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 Chang‐Yuan Cheng. Chang‐Yuan Cheng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 3 | |
| 4 | 9 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 11 | |
| 11 | 3 | |
| 12 | 69 | |
| 13 | 5 | |
| 14 | 17 | |
| 15 | 28 | |
| 16 | 106 | |
| 17 | 13 | |
| 18 | 23 | |
| 19 | 7 | |
| 20 | 23 |
About Chang‐Yuan Cheng
Chang‐Yuan Cheng is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Virology, having authored 31 papers that have together received 651 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (13 papers), Evolution and Genetic Dynamics (10 papers) and Neural Networks Stability and Synchronization (9 papers). The work is most often cited by research in Statistical and Nonlinear Physics (266 citations), Computer Networks and Communications (383 citations) and Modeling and Simulation (57 citations). Chang‐Yuan Cheng has collaborated with scholars based in Taiwan, China and Canada. Frequent co-authors include Chih-Wen Shih, Shyan-Shiou Chen, Yasuhiro Takeuchi, Zhenkun Huang, Youssef N. Raffoul, Bo-Cheng Wang, Wen‐Jwu Wang, Hsiu‐Fu Hsu, Bocheng Wang and Jian‐Chuang Chang. Their work appears in journals such as Physics Letters A, IEEE Transactions on Cybernetics and Environmental Research.
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.