Min-Jen Tsai

1.2k total citations
76 papers, 827 citations indexed

About

Min-Jen Tsai is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Artificial Intelligence. According to data from OpenAlex, Min-Jen Tsai has authored 76 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Computer Vision and Pattern Recognition, 15 papers in Information Systems and 11 papers in Artificial Intelligence. Recurrent topics in Min-Jen Tsai's work include Advanced Steganography and Watermarking Techniques (43 papers), Digital Media Forensic Detection (37 papers) and Chaos-based Image/Signal Encryption (14 papers). Min-Jen Tsai is often cited by papers focused on Advanced Steganography and Watermarking Techniques (43 papers), Digital Media Forensic Detection (37 papers) and Chaos-based Image/Signal Encryption (14 papers). Min-Jen Tsai collaborates with scholars based in Taiwan, United States and Indonesia. Min-Jen Tsai's co-authors include John Villasenor, Yizhang Chen, Chensheng Wang, Chengsheng Wang, Bruce K. T. Ho, Jun Wei, James F. Donohue, Ming Ma, Russell L. Pimmel and Shiang‐Yu Wang and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Min-Jen Tsai

68 papers receiving 762 citations

Peers

Min-Jen Tsai
Fuhao Zou China
Min-Jen Tsai
Citations per year, relative to Min-Jen Tsai Min-Jen Tsai (= 1×) peers Fuhao Zou

Countries citing papers authored by Min-Jen Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Min-Jen Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Min-Jen Tsai. 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 Min-Jen Tsai. The network helps show where Min-Jen Tsai may publish in the future.

Co-authorship network of co-authors of Min-Jen Tsai

This figure shows the co-authorship network connecting the top 25 collaborators of Min-Jen Tsai. A scholar is included among the top collaborators of Min-Jen Tsai 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 Min-Jen Tsai. Min-Jen Tsai 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.
Tsai, Min-Jen, Huimin Lin, & Guoxian Yu. (2024). Double JPEG compression with forgery detection. Digital Signal Processing. 158. 104954–104954.
2.
Tsai, Min-Jen, et al.. (2023). Implementing Deep Convolutional Neural Networks for QR Code-Based Printed Source Identification. Algorithms. 16(3). 160–160. 5 indexed citations
3.
Tsai, Min-Jen, et al.. (2023). Auto ROI & mask R-CNN model for QR code beautification (ARM-QR). Multimedia Systems. 29(3). 1245–1276. 2 indexed citations
4.
Tsai, Min-Jen, et al.. (2023). Adversarial Attacks on Medical Image Classification. Cancers. 15(17). 4228–4228. 21 indexed citations
5.
Tsai, Min-Jen, et al.. (2022). QR code beautification by instance segmentation (IS-QR). Digital Signal Processing. 133. 103887–103887. 7 indexed citations
7.
Tsai, Min-Jen, et al.. (2020). Deep Learning Techniques for Colorectal Cancer Tissue Classification. 1–8. 4 indexed citations
8.
Tsai, Min-Jen, et al.. (2020). The Human Visual System Based Color QR Codes. 32. 46–50. 1 indexed citations
9.
Tsai, Min-Jen, et al.. (2013). The Design of a Hybrid Feature Detector for Adult Images. 5. 389–390. 3 indexed citations
10.
Tsai, Min-Jen, et al.. (2013). Digital forensics of printed source identification for Chinese characters. Multimedia Tools and Applications. 73(3). 2129–2155. 30 indexed citations
11.
Tsai, Min-Jen, et al.. (2011). Using decision fusion of feature selection in digital forensics for camera source model identification. Computer Standards & Interfaces. 34(3). 292–304. 17 indexed citations
12.
Tsai, Min-Jen. (2009). Dynamic energy enabled differentiation (DEED) image watermarking based on human visual system and wavelet tree classification. Multimedia Tools and Applications. 52(2-3). 385–406. 2 indexed citations
14.
Tsai, Min-Jen, et al.. (2009). Multipurpose Image Watermarking Based on the Wavelet Tree Contrast Level Transformation. 1–4. 1 indexed citations
15.
Tsai, Min-Jen, et al.. (2009). Service-oriented grid computing system for digital rights management (GC-DRM). Expert Systems with Applications. 36(7). 10708–10726. 7 indexed citations
16.
Tsai, Min-Jen, et al.. (2009). A hybrid model for digital camera source identification. 2901–2904. 8 indexed citations
17.
Tsai, Min-Jen, et al.. (2008). Digital right management based on Grid Computing architecture (GC-DRM). 494–500. 2 indexed citations
18.
Tsai, Min-Jen, et al.. (2004). DCT and DWT-based image watermarking by using subsampling. 184–189. 33 indexed citations
20.
Ho, Bruce K. T., et al.. (1996). Video compression of coronary angiograms based on discrete wavelet transform with block classification. IEEE Transactions on Medical Imaging. 15(6). 814–823. 16 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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