Baoxiang Du
- Computer Vision and Pattern Recognition top 2%
- Statistical and Nonlinear Physics top 2%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Topics
- Chaos control and synchronization (28 papers)Chaos-based Image/Signal Encryption (23 papers)Advanced Memory and Neural Computing (10 papers)
- Cited by
- Statistical and Nonlinear PhysicsComputer Vision and Pattern RecognitionMathematical Physics
- Partner nations
- China
In The Last Decade
Baoxiang Du
42 papers receiving 603 citations
Peers
Comparison fields: 5 of 39
- Computer Vision and Pattern Recognition 367
- Statistical and Nonlinear Physics 323
- Computer Networks and Communications 123
- Electrical and Electronic Engineering 118
- Artificial Intelligence 115
Countries citing papers authored by Baoxiang Du
This map shows the geographic impact of Baoxiang Du'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 Baoxiang Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baoxiang Du more than expected).
Fields of papers citing papers by Baoxiang Du
This network shows the impact of papers produced by Baoxiang Du. 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 Baoxiang Du. The network helps show where Baoxiang Du may publish in the future.
Co-authorship network of co-authors of Baoxiang Du
This figure shows the co-authorship network connecting the top 25 collaborators of Baoxiang Du. A scholar is included among the top collaborators of Baoxiang Du 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 Baoxiang Du. Baoxiang Du is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 17 | |
| 8 | 6 | |
| 9 | 12 | |
| 10 | 15 | |
| 11 | 3 | |
| 12 | 10 | |
| 13 | 11 | |
| 14 | 23 | |
| 15 | 28 | |
| 16 | 8 | |
| 17 | Image Encryption Algorithm based on Chaos and Its Implementation on FPGA. | 5 |
| 18 | Analysis and Elimination of Digital Chaotic Key Sequence¡¦s Autocorrelation. | 1 |
| 19 | Generation and Realization of Digital Chaotic Key Sequence Based on Double K-L Transform | 4 |
| 20 | 9 |
About Baoxiang Du
Baoxiang Du is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Modeling and Simulation, having authored 47 papers that have together received 623 indexed citations. Recurring topics across this work include Chaos control and synchronization (28 papers), Chaos-based Image/Signal Encryption (23 papers) and Advanced Memory and Neural Computing (10 papers). The work is most often cited by research in Statistical and Nonlinear Physics (323 citations), Computer Vision and Pattern Recognition (367 citations) and Mathematical Physics (56 citations). Baoxiang Du has collaborated with scholars based in China. Frequent co-authors include Simiao Wang, Tao Li, Shaobo He, Huihai Wang, Qun Ding, Chenkai Zhang, Limeng Zhang, Yiming Wang, Yuqi Wei and Song Yu. Their work appears in journals such as Applied Physics Letters, IEEE Access and Applied Soft Computing.
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.