Baoxiang Du

887 citations
50 papers · 665 · h-index 13

Impact in

Papers in

Baoxiang Du

43 papers receiving 652 citations

Peers

Baoxiang Du
Comparison fields: 5 of 39
  • Statistical and Nonlinear Physics 340
  • Computer Vision and Pattern Recognition 378
  • Mathematical Physics 59
  • Computational Theory and Mathematics 95
  • Computer Networks and Communications 131
Replace Omar Guillén-Fernández with:
Omar Guillén-Fernández Mexico
Jean De Dieu Nkapkop Cameroon
Joseph Yves Effa Cameroon
Zhisen Wang China
Chenguang Ma China
Wafaa S. Sayed Egypt
José-Cruz Nuñez-Pérez Mexico
Shaohui Yan China
Li Cui China
Justin Roger Mboupda Pone Cameroon
Baoxiang Du relative to Omar Guillén-Fernández Mexico Omar Guillén-Fernández's profile →
Citations per field
00.5×
Omar Guillén-Fernández · 1×
Citations per year

Countries citing papers authored by Baoxiang Du

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Baoxiang Du, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Baoxiang Du Line = papers co-authored together Baoxiang Du links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021125
2 202062
3 202056
4 202151
5 202040
6 202128
7 201225
8 202122
9 202320
10 202217
11 202316
12 202314
13 202313
14 202212
15 202312
16 202212
17 202212
18 202211
19 202410
20 202310

About Baoxiang Du

Baoxiang Du is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Artificial Intelligence and Computer Networks and Communications, having authored 50 papers that have together received 665 indexed citations. Recurring topics across this work include Chaos control and synchronization (30 papers), Chaos-based Image/Signal Encryption (23 papers), Advanced Memory and Neural Computing (12 papers), Advanced Steganography and Watermarking Techniques (9 papers), Quantum chaos and dynamical systems (8 papers), stochastic dynamics and bifurcation (8 papers), Cellular Automata and Applications (6 papers) and Neural dynamics and brain function (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (340 citations), Computer Vision and Pattern Recognition (378 citations), Mathematical Physics (59 citations), Computational Theory and Mathematics (95 citations) and Computer Networks and Communications (131 citations). Baoxiang Du has collaborated with scholars based in China. Frequent co-authors include Simiao Wang, Tao Li, Shaobo He, Huihai Wang, Chenkai Zhang, Qun Ding, Limeng Zhang, Yiming Wang, Yuqi Wei and Tingkai Zhao. Their work appears in journals such as Chaos An Interdisciplinary Journal of Nonlinear Science, Chaos Solitons & Fractals, Nonlinear Dynamics, International Journal of Bifurcation and Chaos and Multimedia Tools and Applications.

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.

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