Yongjin Xian

1.5k total citations · 3 hit papers
25 papers, 1.2k citations indexed

About

Yongjin Xian is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Mathematical Physics. According to data from OpenAlex, Yongjin Xian has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 8 papers in Computational Theory and Mathematics and 5 papers in Mathematical Physics. Recurrent topics in Yongjin Xian's work include Chaos-based Image/Signal Encryption (18 papers), Advanced Steganography and Watermarking Techniques (17 papers) and Cellular Automata and Applications (8 papers). Yongjin Xian is often cited by papers focused on Chaos-based Image/Signal Encryption (18 papers), Advanced Steganography and Watermarking Techniques (17 papers) and Cellular Automata and Applications (8 papers). Yongjin Xian collaborates with scholars based in China, Hong Kong and Malaysia. Yongjin Xian's co-authors include Xingyuan Wang, Lin Teng, Xingyuan Wang, Xiaopeng Yan, Feifei Yang, Xiaoyu Wang, Qi Li, Xianping Fu, Qi Li and Bin Ma and has published in prestigious journals such as IEEE Access, Information Sciences and Neurocomputing.

In The Last Decade

Yongjin Xian

22 papers receiving 1.2k citations

Hit Papers

Fractal sorting matrix and its application on chaotic ima... 2020 2026 2022 2024 2020 2021 2022 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
Yongjin Xian China 13 1.1k 257 241 215 193 25 1.2k
Jan Sher Khan Pakistan 18 852 0.8× 306 1.2× 181 0.8× 116 0.5× 146 0.8× 35 984
Chong Fu China 18 1.3k 1.2× 328 1.3× 320 1.3× 169 0.8× 344 1.8× 27 1.4k
Shuang Yi China 10 836 0.8× 253 1.0× 156 0.6× 139 0.6× 111 0.6× 20 920
Benyamin Norouzi Iran 11 867 0.8× 247 1.0× 260 1.1× 243 1.1× 179 0.9× 12 1.0k
M.A. Murillo-Escobar Mexico 14 881 0.8× 236 0.9× 280 1.2× 387 1.8× 169 0.9× 23 1.0k
Ramzi Guesmi Tunisia 12 863 0.8× 344 1.3× 234 1.0× 89 0.4× 99 0.5× 16 987
Hongyu Zhao China 12 681 0.6× 169 0.7× 150 0.6× 147 0.7× 140 0.7× 20 758
Dongdong Lin China 5 598 0.6× 176 0.7× 140 0.6× 152 0.7× 98 0.5× 6 657

Countries citing papers authored by Yongjin Xian

Since Specialization
Citations

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

Fields of papers citing papers by Yongjin Xian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongjin Xian

This figure shows the co-authorship network connecting the top 25 collaborators of Yongjin Xian. A scholar is included among the top collaborators of Yongjin Xian 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 Yongjin Xian. Yongjin Xian 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.
Ma, Bin, et al.. (2025). A High-Performance Region Recognition Network-Enhanced Deep CNN for Image Content Perceptual Hashing. IEEE Internet of Things Journal. 12(14). 26456–26471.
2.
Yang, Meihong, et al.. (2025). HashShield: A Robust DeepFake Forensic Framework With Separable Perceptual Hashing. IEEE Signal Processing Letters. 32. 1186–1190.
3.
Yang, Meihong, et al.. (2025). An End-to-End Framework for Joint Makeup Style Transfer and Image Steganography. IEEE Transactions on Circuits and Systems for Video Technology. 36(1). 1293–1308.
4.
Ma, Bin, et al.. (2024). High-Performance Optimization Framework for Reversible Data Hiding Predictor. IEEE Signal Processing Letters. 32. 231–235. 3 indexed citations
5.
Chen, Zhuo, et al.. (2024). Toward a Secure and Private Cross-Chain Protocol Based on Encrypted Communication. Electronics. 13(16). 3116–3116. 1 indexed citations
6.
Fu, Xianping, et al.. (2023). Enhancing Image Encryption with the Kronecker xor Product, the Hill Cipher, and the Sigmoid Logistic Map. Applied Sciences. 13(6). 4034–4034. 25 indexed citations
7.
Fu, Xianping, et al.. (2023). A Novel Image Encryption Scheme Using Chaotic Maps and Fuzzy Numbers for Secure Transmission of Information. Applied Sciences. 13(12). 7113–7113. 21 indexed citations
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, Xingyuan Wang, 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.
Wang, Xingyuan, et al.. (2022). Lossless embedding: A visually meaningful image encryption algorithm based on hyperchaos and compressive sensing. Chinese Physics B. 32(2). 20503–20503. 7 indexed citations
12.
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
13.
Teng, Lin, Xingyuan Wang, & Yongjin Xian. (2022). Image encryption algorithm based on a 2D-CLSS hyperchaotic map using simultaneous permutation and diffusion. Information Sciences. 605. 71–85. 160 indexed citations breakdown →
14.
Xian, Yongjin, Xingyuan Wang, & Lin Teng. (2021). Double Parameters Fractal Sorting Matrix and Its Application in Image Encryption. IEEE Transactions on Circuits and Systems for Video Technology. 32(6). 4028–4037. 122 indexed citations
15.
Xian, Yongjin, et al.. (2021). Fractal sorting vector-based least significant bit chaotic permutation for image encryption*. Chinese Physics B. 30(6). 60508–60508. 7 indexed citations
16.
Teng, Lin, Xingyuan Wang, Feifei Yang, & Yongjin Xian. (2021). Color image encryption based on cross 2D hyperchaotic map using combined cycle shift scrambling and selecting diffusion. Nonlinear Dynamics. 105(2). 1859–1876. 170 indexed citations breakdown →
17.
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
18.
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
19.
Xian, Yongjin & Xingyuan Wang. (2020). Fractal sorting matrix and its application on chaotic image encryption. Information Sciences. 547. 1154–1169. 349 indexed citations breakdown →
20.
Zheng, Cheng‐De, Yongjin Xian, & Zhanshan Wang. (2016). Third-order reciprocally convex approach to stability of fuzzy cellular neural networks under impulsive perturbations. Soft Computing. 21(3). 699–720. 1 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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