Hua Yang
- Statistical and Nonlinear Physics top 2%
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Computational Theory and Mathematics top 2%
- Co-authors
- Guo‐Ping JiangK.S. TangGuanrong ChenGang LiGang ZhaoChunning JiNarakorn SrinilWeilin Chen
- Topics
- Chaos control and synchronization (19 papers)Chaos-based Image/Signal Encryption (14 papers)Cellular Automata and Applications (11 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Vision and Pattern RecognitionComputational Theory and Mathematics
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Hua Yang
67 papers receiving 841 citations
Peers
Comparison fields: 5 of 61
- Statistical and Nonlinear Physics 359
- Electrical and Electronic Engineering 315
- Computer Vision and Pattern Recognition 256
- Computer Networks and Communications 211
- Computational Theory and Mathematics 199
Countries citing papers authored by Hua Yang
This map shows the geographic impact of Hua Yang'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 Hua Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua Yang more than expected).
Fields of papers citing papers by Hua Yang
This network shows the impact of papers produced by Hua Yang. 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 Hua Yang. The network helps show where Hua Yang may publish in the future.
Co-authorship network of co-authors of Hua Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Hua Yang. A scholar is included among the top collaborators of Hua Yang 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 Hua Yang. Hua Yang 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 13 | |
| 9 | 1 | |
| 10 | 23 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 3 | |
| 15 | 20 | |
| 16 | 82 | |
| 17 | 8 | |
| 18 | 1 | |
| 19 | 6 | |
| 20 | An improvement in differential non-linearity of analog-digital conversion | 1 |
About Hua Yang
Hua Yang is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 73 papers that have together received 864 indexed citations. Recurring topics across this work include Chaos control and synchronization (19 papers), Chaos-based Image/Signal Encryption (14 papers) and Cellular Automata and Applications (11 papers). The work is most often cited by research in Statistical and Nonlinear Physics (359 citations), Computer Vision and Pattern Recognition (256 citations) and Computational Theory and Mathematics (199 citations). Hua Yang has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Guo‐Ping Jiang, K.S. Tang, Guanrong Chen, Gang Li, Gang Zhao, Chunning Ji, Narakorn Srinil, Weilin Chen, Zhimeng Zhang and Sheng Yao. Their work appears in journals such as IEEE Access, Applied Thermal Engineering and Physics of Fluids.
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.