Ching‐Nung Yang

6.6k total citations · 1 hit paper
223 papers, 4.8k citations indexed

About

Ching‐Nung Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Ching‐Nung Yang has authored 223 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 168 papers in Computer Vision and Pattern Recognition, 79 papers in Artificial Intelligence and 29 papers in Information Systems. Recurrent topics in Ching‐Nung Yang's work include Advanced Steganography and Watermarking Techniques (151 papers), Chaos-based Image/Signal Encryption (129 papers) and Cryptography and Data Security (54 papers). Ching‐Nung Yang is often cited by papers focused on Advanced Steganography and Watermarking Techniques (151 papers), Chaos-based Image/Signal Encryption (129 papers) and Cryptography and Data Security (54 papers). Ching‐Nung Yang collaborates with scholars based in Taiwan, China and South Korea. Ching‐Nung Yang's co-authors include Tse-Shih Chen, Zhili Zhou, Xingming Sun, Cheonshik Kim, Yanxiao Liu, Xiaotian Wu, Peng Li, Q. M. Jonathan Wu, Daoshun Wang and Xuehu Yan and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Access and Sensors.

In The Last Decade

Ching‐Nung Yang

210 papers receiving 4.6k citations

Hit Papers

Effective and Efficient Global Context Verification for I... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ching‐Nung Yang Taiwan 38 3.9k 1.6k 524 318 260 223 4.8k
Alessandro Piva Italy 38 5.7k 1.5× 996 0.6× 545 1.0× 594 1.9× 111 0.4× 174 6.4k
Yun-Qing Shi United States 43 5.1k 1.3× 666 0.4× 226 0.4× 502 1.6× 121 0.5× 128 5.6k
Henry S. Baird United States 29 1.8k 0.5× 625 0.4× 438 0.8× 356 1.1× 80 0.3× 87 2.5k
Jiwu Huang China 54 9.3k 2.4× 1.3k 0.8× 364 0.7× 1.3k 3.9× 141 0.5× 275 9.9k
Hongxia Wang China 28 1.7k 0.4× 392 0.2× 288 0.5× 426 1.3× 355 1.4× 298 2.7k
Shiguo Lian China 35 3.8k 1.0× 993 0.6× 246 0.5× 426 1.3× 272 1.0× 166 4.7k
Shabir A. Parah India 27 2.0k 0.5× 362 0.2× 260 0.5× 206 0.6× 217 0.8× 123 2.5k
De Rosal Ignatius Moses Setiadi Indonesia 27 1.8k 0.5× 931 0.6× 401 0.8× 206 0.6× 95 0.4× 222 2.9k
Dragutin Petković United States 23 4.6k 1.2× 703 0.4× 335 0.6× 1.1k 3.4× 320 1.2× 75 5.5k
Yun Q. Shi United States 34 4.7k 1.2× 400 0.2× 134 0.3× 589 1.9× 145 0.6× 119 5.1k

Countries citing papers authored by Ching‐Nung Yang

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Nung Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Nung Yang. 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 Ching‐Nung Yang. The network helps show where Ching‐Nung Yang may publish in the future.

Co-authorship network of co-authors of Ching‐Nung Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Ching‐Nung Yang. A scholar is included among the top collaborators of Ching‐Nung Yang 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 Ching‐Nung Yang. Ching‐Nung Yang 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.
Kim, Cheonshik, Ching‐Nung Yang, & Lu Leng. (2025). Enhanced Dual Reversible Data Hiding Using Combined Approaches. Applied Sciences. 15(6). 3279–3279. 1 indexed citations
2.
Zhang, Xianquan, et al.. (2024). Reversible Data Hiding in Encrypted Images With Asymmetric Coding and Bit-Plane Block Compression. IEEE Transactions on Multimedia. 26. 10174–10188. 10 indexed citations
3.
Liang, Xiaoping, Zhenjun Tang, Xianquan Zhang, Xinpeng Zhang, & Ching‐Nung Yang. (2024). Robust Image Hashing With Weighted Saliency Map and Laplacian Eigenmaps. IEEE Transactions on Information Forensics and Security. 20. 665–676. 2 indexed citations
4.
Xiong, Lizhi, et al.. (2023). CMCF-Net: An End-to-End Context Multiscale Cross-Fusion Network for Robust Copy-Move Forgery Detection. IEEE Transactions on Multimedia. 26. 6090–6101. 7 indexed citations
5.
Yang, Ching‐Nung, et al.. (2023). Using Direct Links in Wireless Sensor Networks to Reduce Energy Consumption. 603–608. 1 indexed citations
6.
Kim, Cheonshik, Ching‐Nung Yang, & Lu Leng. (2020). High-Capacity Data Hiding for ABTC-EQ Based Compressed Image. Electronics. 9(4). 644–644. 25 indexed citations
7.
Pan, Zhaoqing, Ching‐Nung Yang, Victor S. Sheng, Naixue Xiong, & Weizhi Meng. (2019). Machine Learning for Wireless Multimedia Data Security. Security and Communication Networks. 2019. 1–2. 18 indexed citations
8.
Zhou, Zhili, Ching‐Nung Yang, Yimin Yang, & Xingming Sun. (2019). Polynomial‐Based Google Map Graphical Password System against Shoulder‐Surfing Attacks in Cloud Environment. Complexity. 2019(1). 33 indexed citations
9.
Cao, Yi, Zhili Zhou, Ching‐Nung Yang, & Xingming Sun. (2018). Dynamic Content Selection Framework Applied to Coverless Information Hiding. 網際網路技術學刊. 19(4). 1179–1186. 17 indexed citations
10.
Zhou, Zhili, Q. M. Jonathan Wu, Ching‐Nung Yang, Xingming Sun, & Zhaoqing Pan. (2017). Coverless Image Steganography Using Histograms of Oriented Gradients-Based Hashing Algorithm. 網際網路技術學刊. 18(5). 1177–1184. 31 indexed citations
11.
Yang, Ching‐Nung, et al.. (2015). E-Health Services for Elderly Care Based on Google Cloud Messaging. 9–12. 2 indexed citations
12.
Yang, Ching‐Nung, et al.. (2013). Natural language letter based visual cryptography scheme. Journal of Visual Communication and Image Representation. 24(3). 318–331. 10 indexed citations
13.
Yang, Ching‐Nung, Chia‐Chen Lin, & Yung‐Kuan Chan. (2013). Steganography and Watermarking. Nova Science Publishers, Inc. eBooks. 4 indexed citations
14.
Cimato, Stelvio & Ching‐Nung Yang. (2011). Visual Cryptography and Secret Image Sharing (Digital Imaging and Computer Vision). CRC Press, Inc. eBooks. 12 indexed citations
15.
Yang, Ching‐Nung, et al.. (2011). Construction of General ( k , n ) Probabilistic Visual Cryptography Scheme. Journal of Electronic Science and Technology. 9(4). 317–324. 1 indexed citations
16.
Chiang, Cheng‐Chin, et al.. (2009). A Component-Based Face Synthesizing Method. Hokkaido University Collection of Scholarly and Academic Papers (Hokkaido University). 24–30. 2 indexed citations
17.
Yang, Ching‐Nung, et al.. (2009). Image Library Systems: A Novel Installment Payment for Buying Images on the Web. 20(1). 43–49. 1 indexed citations
18.
Laih, Chi‐Sung, et al.. (2003). New Audio Secret Sharing Schemes with Time Division Technique. Journal of information science and engineering. 19(4). 605–614. 7 indexed citations
19.
Yang, Ching‐Nung. (2002). Improvements on Audio and Optical Cryptography. Journal of information science and engineering. 18(3). 381–391. 3 indexed citations
20.
Yang, Ching‐Nung & Chi‐Sung Laih. (1997). Generating Functions for Asymmetric/Unidirectional Error Correcting and Detecting Codes. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences. 80(6). 1135–1142. 1 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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