Chih-Wei Shiu

1.1k total citations
20 papers, 823 citations indexed

About

Chih-Wei Shiu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Chih-Wei Shiu has authored 20 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 2 papers in Signal Processing and 2 papers in Electrical and Electronic Engineering. Recurrent topics in Chih-Wei Shiu's work include Advanced Steganography and Watermarking Techniques (18 papers), Chaos-based Image/Signal Encryption (15 papers) and Digital Media Forensic Detection (13 papers). Chih-Wei Shiu is often cited by papers focused on Advanced Steganography and Watermarking Techniques (18 papers), Chaos-based Image/Signal Encryption (15 papers) and Digital Media Forensic Detection (13 papers). Chih-Wei Shiu collaborates with scholars based in Taiwan and China. Chih-Wei Shiu's co-authors include Wien Hong, Tung-Shou Chen, Yu‐Chi Chen, Gwoboa Horng, Jeanne Chen, Yu-Ping Chang and Xiaodong Lin and has published in prestigious journals such as Signal Processing, IEEE Transactions on Information Forensics and Security and Journal of Systems and Software.

In The Last Decade

Chih-Wei Shiu

20 papers receiving 781 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chih-Wei Shiu Taiwan 10 813 42 40 13 11 20 823
The Duc Kieu Taiwan 12 643 0.8× 38 0.9× 41 1.0× 10 0.8× 15 1.4× 21 656
Ran-Zan Wang Taiwan 4 693 0.9× 25 0.6× 28 0.7× 6 0.5× 11 1.0× 6 703
Junhui He China 9 510 0.6× 68 1.6× 25 0.6× 13 1.0× 14 1.3× 18 523
Chi‐Shiang Chan Taiwan 10 360 0.4× 66 1.6× 19 0.5× 13 1.0× 12 1.1× 40 376
Kai-Hsiang Tsao Taiwan 8 476 0.6× 109 2.6× 22 0.6× 23 1.8× 14 1.3× 9 483
Jun-Chou Chuang Taiwan 9 282 0.3× 21 0.5× 24 0.6× 6 0.5× 8 0.7× 17 296
Alexander Herrigel Switzerland 7 265 0.3× 23 0.5× 35 0.9× 23 1.8× 10 0.9× 16 292
Mehdi Fallahpour Spain 13 633 0.8× 24 0.6× 119 3.0× 20 1.5× 7 0.6× 21 651
Jiang-Lung Liu Taiwan 8 399 0.5× 40 1.0× 21 0.5× 21 1.6× 4 0.4× 11 414
Lixin Luo China 4 504 0.6× 14 0.3× 18 0.5× 11 0.8× 5 0.5× 5 516

Countries citing papers authored by Chih-Wei Shiu

Since Specialization
Citations

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

Fields of papers citing papers by Chih-Wei Shiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chih-Wei Shiu. 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 Chih-Wei Shiu. The network helps show where Chih-Wei Shiu may publish in the future.

Co-authorship network of co-authors of Chih-Wei Shiu

This figure shows the co-authorship network connecting the top 25 collaborators of Chih-Wei Shiu. A scholar is included among the top collaborators of Chih-Wei Shiu 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 Chih-Wei Shiu. Chih-Wei Shiu 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.
Lin, Xiaodong, et al.. (2024). Application of ChatGPT-Integrated NPCs to Enhance Virtual Reality Brainstorming. 1271–1272. 1 indexed citations
2.
Chen, Yu‐Chi & Chih-Wei Shiu. (2021). Distributed Encrypted Image-Based Reversible Data Hiding. 網際網路技術學刊. 22(1). 101–107. 2 indexed citations
3.
Shiu, Chih-Wei, Jeanne Chen, & Yu‐Chi Chen. (2020). Low-Cost Online Handwritten Symbol Recognition System in Virtual Reality Environment of Head-Mounted Display. Mathematics. 8(11). 1967–1967. 1 indexed citations
4.
Chen, Yu‐Chi, et al.. (2019). A New Reversible Data Hiding in Encrypted Image Based on Multi-Secret Sharing and Lightweight Cryptographic Algorithms. IEEE Transactions on Information Forensics and Security. 14(12). 3332–3343. 71 indexed citations
5.
Shiu, Chih-Wei, Yu‐Chi Chen, & Wien Hong. (2019). Reversible Data Hiding in Permutation-based Encrypted Images with Strong Privacy. KSII Transactions on Internet and Information Systems. 13(2). 3 indexed citations
6.
Shiu, Chih-Wei, Yu‐Chi Chen, & Wien Hong. (2015). Encrypted image-based reversible data hiding with public key cryptography from difference expansion. Signal Processing Image Communication. 39. 226–233. 109 indexed citations
7.
Chen, Jeanne, et al.. (2014). A New Reference Pixel Prediction for Reversible Data Hiding with Reduced Location Map. KSII Transactions on Internet and Information Systems. 8(3). 1105–1118. 3 indexed citations
8.
Hong, Wien, Gwoboa Horng, Chih-Wei Shiu, Tung-Shou Chen, & Yu‐Chi Chen. (2014). Reversible Steganographic Method Using Complexity Control and Human Visual System. The Computer Journal. 58(10). 2583–2594. 3 indexed citations
9.
Chen, Yu‐Chi, Chih-Wei Shiu, & Gwoboa Horng. (2014). Encrypted signal-based reversible data hiding with public key cryptosystem. Journal of Visual Communication and Image Representation. 25(5). 1164–1170. 153 indexed citations
10.
Chen, Jeanne, et al.. (2013). An improvement of diamond encoding using characteristic value positioning and modulus function. Journal of Systems and Software. 86(5). 1377–1383. 8 indexed citations
11.
Hong, Wien, et al.. (2011). Lossless Data Embedding in BTC Codes Based on Prediction and Histogram Shifting. Applied Mechanics and Materials. 65. 182–185. 4 indexed citations
12.
Hong, Wien, Tung-Shou Chen, Yu-Ping Chang, & Chih-Wei Shiu. (2010). A high capacity reversible data hiding scheme using orthogonal projection and prediction error modification. Signal Processing. 90(11). 2911–2922. 50 indexed citations
13.
Chen, Jeanne, Wien Hong, Tung-Shou Chen, & Chih-Wei Shiu. (2010). Steganography for BTC compressed images using no distortion technique. The Imaging Science Journal. 58(4). 177–185. 50 indexed citations
14.
Hong, Wien, Tung-Shou Chen, & Chih-Wei Shiu. (2009). Reversible data hiding for high quality images using modification of prediction errors. Journal of Systems and Software. 82(11). 1833–1842. 254 indexed citations
15.
Hong, Wien, Tung-Shou Chen, & Chih-Wei Shiu. (2008). Lossless Steganography for AMBTC-Compressed Images. 13–17. 38 indexed citations
16.
Hong, Wien, Tung-Shou Chen, & Chih-Wei Shiu. (2008). Reversible Data Hiding Based on Histogram Shifting of Prediction Errors. 4675. 578–581. 3 indexed citations
17.
Hong, Wien, Tung-Shou Chen, & Chih-Wei Shiu. (2008). A Minimal Euclidean Distance Searching Technique for Sudoku Steganography. 515–518. 37 indexed citations
18.
Hong, Wien, Tung-Shou Chen, & Chih-Wei Shiu. (2008). Steganography Using Sudoku Revisited. 935–939. 12 indexed citations
19.
Hong, Wien, Tung-Shou Chen, & Chih-Wei Shiu. (2008). Reversible Data Hiding Based on Histogram Shifting of Prediction Errors. 292–295. 18 indexed citations
20.
Hong, Wien, Chih-Wei Shiu, & Tung-Shou Chen. (2008). A High Quality Histogram Shifting Based Embedding Technique for Reversible Data Hiding. 183–187. 3 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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