Bin Ma

6.5k citations
191 papers · 4.2k · 3 hit papers · h-index 28

Impact in

Papers in

    • Advanced Steganography and Watermarking Techniques 78
    • Digital Media Forensic Detection 63
    • Chaos-based Image/Signal Encryption 39
    • Generative Adversarial Networks and Image Synthesis 12
    • Advanced Image and Video Retrieval Techniques 11
    • Speech Recognition and Synthesis 14

Bin Ma

170 papers receiving 4.0k citations

Bin Ma's Hit Papers

Reversible data hiding: Advances in the past two decades 2016 · 424 citations
4240+8+16Years since publication200400600

Peers

Bin Ma
Comparison fields: 5 of 166
  • Computer Vision and Pattern Recognition 2.2k
  • Signal Processing 494
  • Artificial Intelligence 1.0k
  • Media Technology 238
  • Computational Theory and Mathematics 302
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Bin Ma relative to Ben Taskar United States Ben Taskar's profile →
Citations per field
00.5×10×20×31×
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Citations per year

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-authors

The 25 scholars most cited alongside Bin Ma, 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 Bin Ma Line = papers co-authored together Bin Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 191 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Similarity Metric
Hit paper breakdown →
2004630
2
PatternHunter: faster and more sensitive homology search
Hit paper breakdown →
2002503
3
Reversible data hiding: Advances in the past two decades
Hit paper breakdown →
2016424
4 2016136
5 2019132
6 2002122
7 2021101
8 202188
9 202086
10 200776
11 202168
12 202061
13 202256
14 202153
15 202048
16 201544
17 202243
18 202042
19 201040
20
Cauda equina syndrome: a review of clinical progress.
200939

About Bin Ma

Bin Ma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Media Technology and Computer Networks and Communications, having authored 191 papers that have together received 4.2k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (78 papers), Digital Media Forensic Detection (63 papers), Chaos-based Image/Signal Encryption (39 papers), Speech Recognition and Synthesis (14 papers), Image Processing Techniques and Applications (13 papers), Speech and Audio Processing (13 papers), Generative Adversarial Networks and Image Synthesis (12 papers) and Advanced Image and Video Retrieval Techniques (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.2k citations), Signal Processing (494 citations), Artificial Intelligence (1.0k citations), Media Technology (238 citations) and Computational Theory and Mathematics (302 citations). Bin Ma has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yun-Qing Shi, Ming Li, Chunpeng Wang, John Tromp, Xuefeng Li, Daniel Chen, Paul Vitányi, Ming Li, Xingyuan Wang and Xiaolong Li. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Signal Processing Letters, Multimedia Tools and Applications, Signal Processing and Digital Signal Processing.

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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