Xiaopeng Yan

1.2k total citations · 2 hit papers
20 papers, 825 citations indexed

About

Xiaopeng Yan is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Statistical and Nonlinear Physics. According to data from OpenAlex, Xiaopeng Yan has authored 20 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 5 papers in Computational Theory and Mathematics and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Xiaopeng Yan's work include Chaos-based Image/Signal Encryption (13 papers), Advanced Steganography and Watermarking Techniques (8 papers) and Cellular Automata and Applications (5 papers). Xiaopeng Yan is often cited by papers focused on Chaos-based Image/Signal Encryption (13 papers), Advanced Steganography and Watermarking Techniques (8 papers) and Cellular Automata and Applications (5 papers). Xiaopeng Yan collaborates with scholars based in China, Australia and Malaysia. Xiaopeng Yan's co-authors include Yongjin Xian, Liang Lin, Xiaoxi Wang, Ziliang Chen, Xiaodan Liang, Xingyuan Wang, Lin Teng, Xingyuan Wang, Hao Wei and Mingxu Wang and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Xiaopeng Yan

19 papers receiving 801 citations

Hit Papers

Meta R-CNN: Towards General Solver for Instance-Level Low... 2019 2026 2021 2023 2019 2024 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaopeng Yan China 12 651 271 89 83 66 20 825
Knut Hüper Germany 14 138 0.2× 86 0.3× 45 0.5× 81 1.0× 19 0.3× 57 504
Achraf Daoui Morocco 21 700 1.1× 139 0.5× 41 0.5× 78 0.9× 33 0.5× 47 893
Wojciech Chojnacki Australia 16 544 0.8× 24 0.1× 16 0.2× 48 0.6× 100 1.5× 81 827
Chengzhi Deng China 9 568 0.9× 158 0.6× 55 0.6× 82 1.0× 55 0.8× 52 705
Mátyás A. Sustik United States 7 228 0.4× 272 1.0× 40 0.4× 47 0.6× 22 0.3× 10 749
Mohamed Yamni Morocco 20 655 1.0× 109 0.4× 30 0.3× 53 0.6× 28 0.4× 39 808
Hà Quang Minh Italy 11 169 0.3× 134 0.5× 52 0.6× 16 0.2× 30 0.5× 32 462
Zengke Zhang China 12 195 0.3× 115 0.4× 23 0.3× 22 0.3× 45 0.7× 43 457
Xiaowen Li China 8 249 0.4× 143 0.5× 69 0.8× 38 0.5× 18 0.3× 28 389

Countries citing papers authored by Xiaopeng Yan

Since Specialization
Citations

This map shows the geographic impact of Xiaopeng Yan'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 Xiaopeng Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaopeng Yan more than expected).

Fields of papers citing papers by Xiaopeng Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaopeng Yan. 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 Xiaopeng Yan. The network helps show where Xiaopeng Yan may publish in the future.

Co-authorship network of co-authors of Xiaopeng Yan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaopeng Yan. A scholar is included among the top collaborators of Xiaopeng Yan 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 Xiaopeng Yan. Xiaopeng Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Pengbo, Lin Teng, Herbert Ho‐Ching Iu, et al.. (2025). Enhancing Image Security With a Novel Chaotic System: A Focus on Multiface Image Encryption in Smart Applications. IEEE Internet of Things Journal. 12(12). 20087–20098. 2 indexed citations
2.
Hu, Qing, et al.. (2025). A ship image encryption algorithm based on novel spatiotemporal chaotic system. Physica Scripta. 100(4). 45213–45213. 3 indexed citations
3.
Wang, Mingxu, Lin Teng, Wenjie Zhou, et al.. (2024). A new 2D cross hyperchaotic Sine-modulation-Logistic map and its application in bit-level image encryption. Expert Systems with Applications. 261. 125328–125328. 38 indexed citations
4.
Yan, Xiaopeng, Lin Teng, & Yining Su. (2024). A novel chaotic image encryption is based on fractional wavelet decomposition and quantum transform model. Physica Scripta. 99(5). 55217–55217. 8 indexed citations
5.
Yan, Xiaopeng, Qing Hu, Lin Teng, & Yining Su. (2024). Unmanned ship image encryption method based on a new four-wing three-dimensional chaotic system and compressed sensing. Chaos Solitons & Fractals. 185. 115146–115146. 21 indexed citations
6.
Wang, Mingxu, Xianping Fu, Xiaopeng Yan, & Lin Teng. (2024). A New Chaos-Based Image Encryption Algorithm Based on Discrete Fourier Transform and Improved Joseph Traversal. Mathematics. 12(5). 638–638. 12 indexed citations
7.
Wang, Mingxu, Xianping Fu, Lin Teng, et al.. (2024). A new 2D-HELS hyperchaotic map and its application on image encryption using RNA operation and dynamic confusion. Chaos Solitons & Fractals. 183. 114959–114959. 51 indexed citations breakdown →
8.
Xian, Yongjin, et al.. (2022). A novel chaotic image encryption with FSV based global bit-level chaotic permutation. Multimedia Tools and Applications. 82(1). 407–426. 16 indexed citations
9.
Xian, Yongjin, Xingyuan Wang, Xiaoyu Wang, Qi Li, & Xiaopeng Yan. (2022). Spiral-Transform-Based Fractal Sorting Matrix for Chaotic Image Encryption. IEEE Transactions on Circuits and Systems I Regular Papers. 69(8). 3320–3327. 46 indexed citations
10.
Xian, Yongjin, Xingyuan Wang, Lin Teng, et al.. (2022). Cryptographic system based on double parameters fractal sorting vector and new spatiotemporal chaotic system. Information Sciences. 596. 304–320. 33 indexed citations
11.
Yan, Xiaopeng, Xingyuan Wang, & Yongjin Xian. (2022). Synchronously scrambled diffuse image encryption method based on a new cosine chaotic map. Chinese Physics B. 31(8). 80504–80504. 11 indexed citations
12.
Yan, Xiaopeng, Xingyuan Wang, & Yongjin Xian. (2021). Chaotic image encryption algorithm based on arithmetic sequence scrambling model and DNA encoding operation. Multimedia Tools and Applications. 80(7). 10949–10983. 64 indexed citations
13.
Yan, Xiaopeng, Xingyuan Wang, & Yongjin Xian. (2020). Chaotic Image Encryption Algorithm Based on Fractional Order Scrambling Wavelet Transform and 3D Cyclic Displacement Operation. IEEE Access. 8. 208718–208736. 6 indexed citations
14.
Xian, Yongjin, et al.. (2020). Image Encryption Based on Chaotic Sub-Block Scrambling and Chaotic Digit Selection Diffusion. Optics and Lasers in Engineering. 134. 106202–106202. 78 indexed citations
15.
Yang, Jingkang, Weirong Chen, Litong Feng, et al.. (2020). Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph. arXiv (Cornell University). 83–91. 8 indexed citations
16.
Yan, Xiaopeng, et al.. (2019). Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning. 9576–9585. 350 indexed citations breakdown →
17.
Ye, Xiaolin, Xingyuan Wang, Jun Mou, Xiaopeng Yan, & Yongjin Xian. (2018). Characteristic analysis of the fractional-order hyperchaotic memristive circuit based on the Wien bridge oscillator. The European Physical Journal Plus. 133(12). 17 indexed citations
18.
Wang, Guangxue, et al.. (2015). Fully affine SAR image registration method based on feature points. 37(6). 1259–1265.
19.
Wei, Hao, et al.. (2014). Cosmological applications of Padé approximant. Journal of Cosmology and Astroparticle Physics. 2014(1). 45–45. 59 indexed citations
20.
Li, Ping, et al.. (2008). Application of Wavelet Transform to Radio Fuze Jamming Identification. 23. 1–4. 2 indexed citations

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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