Sai Ma

411 total citations
17 papers, 276 citations indexed

About

Sai Ma is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Sai Ma has authored 17 papers receiving a total of 276 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Signal Processing, 5 papers in Computer Vision and Pattern Recognition and 4 papers in Cognitive Neuroscience. Recurrent topics in Sai Ma's work include Advanced Steganography and Watermarking Techniques (5 papers), Speech and Audio Processing (4 papers) and Blind Source Separation Techniques (4 papers). Sai Ma is often cited by papers focused on Advanced Steganography and Watermarking Techniques (5 papers), Speech and Audio Processing (4 papers) and Blind Source Separation Techniques (4 papers). Sai Ma collaborates with scholars based in China, United States and Japan. Sai Ma's co-authors include Vince D. Calhoun, Tülay Adalı, Xianfeng Zhao, Yaqi Liu, Geng-Shen Fu, Ronald Phlypo, Mohammad R. Arbabshirani, Adrian Preda, Jatin G. Vaidya and Sergey Plis and has published in prestigious journals such as NeuroImage, Journal of Neuroscience Methods and IEEE Signal Processing Letters.

In The Last Decade

Sai Ma

17 papers receiving 273 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sai Ma China 10 151 65 60 51 24 17 276
Ikenna Odinaka United States 4 250 1.7× 102 1.6× 24 0.4× 26 0.5× 5 0.2× 10 398
Jincan Zhang China 10 85 0.6× 26 0.4× 7 0.1× 15 0.3× 23 1.0× 55 276
Sungmin Cha South Korea 8 61 0.4× 5 0.1× 30 0.5× 66 1.3× 6 0.3× 12 238
Jiří Málek Czechia 9 23 0.2× 214 3.3× 19 0.3× 33 0.6× 4 0.2× 33 260
Sanjoy Kumar Saha India 9 66 0.4× 113 1.7× 20 0.3× 155 3.0× 2 0.1× 29 271
Ryan Stables United Kingdom 9 32 0.2× 112 1.7× 18 0.3× 98 1.9× 1 0.0× 30 285
Iris A. M. Huijben Netherlands 8 44 0.3× 10 0.2× 12 0.2× 18 0.4× 4 0.2× 16 147
G. V. Wheeler United Kingdom 6 13 0.1× 47 0.7× 11 0.2× 253 5.0× 8 0.3× 15 309
Mariia Chernykh Ukraine 6 174 1.2× 37 0.6× 3 0.1× 4 0.1× 42 1.8× 13 272
Zoltán Szabó Hungary 7 31 0.2× 56 0.9× 2 0.0× 64 1.3× 14 0.6× 26 182

Countries citing papers authored by Sai Ma

Since Specialization
Citations

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

Fields of papers citing papers by Sai Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sai Ma

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

All Works

17 of 17 papers shown
1.
Ma, Sai & Xianfeng Zhao. (2021). Steganalytic feature based adversarial embedding for adaptive JPEG steganography. Journal of Visual Communication and Image Representation. 76. 103066–103066. 6 indexed citations
2.
Ma, Sai, et al.. (2020). Fast and Secure Steganography Based on J-UNIWARD. IEEE Signal Processing Letters. 27. 221–225. 12 indexed citations
3.
Ma, Sai, Takashi Masuda, Shogo Higaki, et al.. (2020). Development of an Anomaly Detection System for Cattle Using Infrared Image and Machine Learning. Sensors and Materials. 32(12). 4139–4139. 9 indexed citations
4.
Zhao, Xianfeng, et al.. (2019). RestegNet: a residual steganalytic network. Multimedia Tools and Applications. 78(16). 22711–22725. 6 indexed citations
5.
Ma, Sai, Xianfeng Zhao, & Yaqi Liu. (2019). Adaptive spatial steganography based on adversarial examples. Multimedia Tools and Applications. 78(22). 32503–32522. 24 indexed citations
6.
Ma, Sai, et al.. (2019). A High Performance Solar-Blind Detector Based on Mixed–Phase Zn0.45Mg0.55O Alloy Nanowires Network. Electronic Materials Letters. 15(3). 303–313. 14 indexed citations
7.
Feng, Shuanglong, Haitao Jiang, Sai Ma, et al.. (2018). Catalyst-free growth of a Zn2GeO4 nanowire network for high-performance transfer-free solar-blind deep UV detection. Physica E Low-dimensional Systems and Nanostructures. 107. 1–4. 15 indexed citations
8.
Ma, Sai, et al.. (2017). A Priori knowledge based secure payload estimation. Multimedia Tools and Applications. 77(14). 17889–17911. 1 indexed citations
9.
Levin‐Schwartz, Yuri, et al.. (2016). The role of diversity in complex ICA algorithms for fMRI analysis. Journal of Neuroscience Methods. 264. 129–135. 23 indexed citations
10.
11.
Westlake, Kelly P., et al.. (2015). Capturing subject variability in fMRI data: A graph-theoretical analysis of GICA vs. IVA. Journal of Neuroscience Methods. 247. 32–40. 37 indexed citations
12.
Arbabshirani, Mohammad R., Eswar Damaraju, Ronald Phlypo, et al.. (2014). Impact of autocorrelation on functional connectivity. NeuroImage. 102. 294–308. 77 indexed citations
13.
Ma, Sai, et al.. (2014). A novel approach for assessing reliability of ICA for FMRI analysis. 2084–2088. 29 indexed citations
14.
15.
Li, Xi-Lin, Sai Ma, Vince D. Calhoun, & Tülay Adalı. (2011). Order detection for fMRI analysis: Joint estimation of downsampling depth and order by information theoretic criteria. 13 indexed citations
16.
Wang, Ying, et al.. (2011). Single channel polyphonic music signal separation based on Bayesian harmonic model. 119. 2784–2787. 3 indexed citations
17.

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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