Bin Ma

6.3k total citations · 3 hit papers
189 papers, 4.0k citations indexed

About

Bin Ma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Bin Ma has authored 189 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 112 papers in Computer Vision and Pattern Recognition, 46 papers in Artificial Intelligence and 27 papers in Signal Processing. Recurrent topics in Bin Ma's work include Advanced Steganography and Watermarking Techniques (78 papers), Digital Media Forensic Detection (63 papers) and Chaos-based Image/Signal Encryption (39 papers). Bin Ma is often cited by papers focused on Advanced Steganography and Watermarking Techniques (78 papers), Digital Media Forensic Detection (63 papers) and Chaos-based Image/Signal Encryption (39 papers). Bin Ma collaborates with scholars based in China, United States and Canada. Bin Ma's co-authors include Yun-Qing Shi, Ming Li, John Tromp, Chunpeng Wang, Paul Vitányi, Ming Li, Xuefeng Li, Daniel Chen, Xingyuan Wang and Xiaolong Li and has published in prestigious journals such as Bioinformatics, Scientific Reports and IEEE Transactions on Information Theory.

In The Last Decade

Bin Ma

168 papers receiving 3.8k citations

Hit Papers

The Similarity Metric 2002 2026 2010 2018 2004 2002 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bin Ma China 27 2.1k 1.1k 861 480 302 189 4.0k
Shiping Wang China 33 1.7k 0.8× 1.9k 1.8× 352 0.4× 262 0.5× 379 1.3× 193 3.7k
Jana Novovičová Czechia 14 1.2k 0.6× 1.3k 1.2× 405 0.5× 389 0.8× 163 0.5× 29 3.3k
Xiao Wang China 33 1.7k 0.8× 960 0.9× 317 0.4× 255 0.5× 78 0.3× 183 3.5k
Mita Nasipuri India 34 2.8k 1.3× 1.2k 1.1× 307 0.4× 307 0.6× 205 0.7× 305 4.3k
Shiguo Lian China 35 3.8k 1.8× 993 0.9× 323 0.4× 426 0.9× 690 2.3× 166 4.7k
Donald Adjeroh United States 28 680 0.3× 803 0.8× 664 0.8× 552 1.1× 82 0.3× 155 2.8k
Jeffrey A. Bilmes United States 22 652 0.3× 1.3k 1.2× 705 0.8× 794 1.7× 72 0.2× 63 3.2k
Chun-Hou Zheng China 34 1.1k 0.5× 1.1k 1.0× 2.5k 3.0× 283 0.6× 382 1.3× 261 4.5k
Dezhong Peng China 28 2.0k 0.9× 1.4k 1.3× 175 0.2× 548 1.1× 217 0.7× 168 3.5k
Marius Kloft Germany 25 998 0.5× 1.7k 1.6× 164 0.2× 325 0.7× 96 0.3× 86 3.0k

Countries citing papers authored by Bin Ma

Since Specialization
Citations

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

Fields of papers citing papers by Bin Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Ma. A scholar is included among the top collaborators of Bin Ma 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 Bin Ma. Bin Ma 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
2.
Yang, Meihong, et al.. (2025). HashShield: A Robust DeepFake Forensic Framework With Separable Perceptual Hashing. IEEE Signal Processing Letters. 32. 1186–1190.
3.
Wang, Chunpeng, Xiaoyu Wang, Qi Li, et al.. (2025). Light-Field Image Multiple Reversible Robust Watermarking Against Geometric Attacks. IEEE Transactions on Dependable and Secure Computing. 22(6). 5861–5875. 8 indexed citations
4.
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.
5.
Ma, Bin, Jian Li, & Qi Li. (2024). Digital Forensics and Watermarking. Lecture notes in computer science. 1 indexed citations
6.
Ma, Bin, et al.. (2024). High-Performance Optimization Framework for Reversible Data Hiding Predictor. IEEE Signal Processing Letters. 32. 231–235. 3 indexed citations
7.
Wang, Chunpeng, Pengfei Tian, Zhiqiu Xia, et al.. (2024). Highly applicable and imperceptible watermark attack network. Signal Processing. 230. 109840–109840.
8.
Zhang, Jiawei, Jinwei Wang, Hao Wang, Xiangyang Luo, & Bin Ma. (2023). Trustworthy adaptive adversarial perturbations in social networks. Journal of Information Security and Applications. 80. 103675–103675.
9.
Bu, Yinan, et al.. (2023). Method for establishing predictive models for total organic halogen based on piecewise interpolation and machine learning. Journal of environmental chemical engineering. 11(3). 109928–109928. 4 indexed citations
10.
Ma, Bin, et al.. (2023). Enhancing the security of image steganography via multiple adversarial networks and channel attention modules. Digital Signal Processing. 141. 104121–104121. 12 indexed citations
11.
Li, Jian, et al.. (2023). Reversible PRNU anonymity for device privacy protection based on data hiding. Expert Systems with Applications. 234. 121017–121017. 2 indexed citations
12.
Ma, Bin, et al.. (2023). A multi-level sorting prediction enhancement-based two-dimensional reversible data hiding algorithm for JPEG images. Digital Signal Processing. 141. 104145–104145. 5 indexed citations
13.
Wang, Chunpeng, et al.. (2023). Multi-dimensional hypercomplex continuous orthogonal moments for light-field images. Expert Systems with Applications. 217. 119553–119553. 6 indexed citations
14.
Li, Jian, et al.. (2023). PRNU Anonymous Algorithm Used for Privacy Protection in Biometric Authentication Systems. International Journal on Semantic Web and Information Systems. 19(1). 1–19. 3 indexed citations
15.
Xia, Zhiqiu, Chunpeng Wang, Bin Ma, et al.. (2023). Geometric attacks resistant double zero-watermarking using discrete Fourier transform and fractional-order Exponent-Fourier moments. Digital Signal Processing. 140. 104097–104097. 12 indexed citations
16.
Ma, Bin, et al.. (2021). Medical Image Key Area Protection Scheme Based on QR Code and Reversible Data Hiding. Security and Communication Networks. 2021. 1–11. 3 indexed citations
17.
Wang, Chunpeng, Bin Ma, Zhiqiu Xia, et al.. (2021). Stereoscopic Image Description With Trinion Fractional-Order Continuous Orthogonal Moments. IEEE Transactions on Circuits and Systems for Video Technology. 32(4). 1998–2012. 68 indexed citations
18.
Ma, Bin, et al.. (2021). A reversible data hiding algorithm for audio files based on code division multiplexing. Multimedia Tools and Applications. 80(12). 17569–17581. 11 indexed citations
19.
Zhang, Wanfeng, et al.. (2020). Reconstruction of skull and dural defects using anterolateral thigh flaps. Medicine. 99(50). e23545–e23545. 1 indexed citations
20.
Sun, Gang, Jiangtao Wang, Guanghui Ren, et al.. (2012). [Association between single nucleotide polymorphisms of BARD 1 gene and susceptibility of early-onset breast cancer in Uygur women in Xinjiang].. PubMed. 34(5). 341–7. 4 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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