Chun-Shien Lu
- Computer Vision and Pattern Recognition top 0.5%
- Computer Networks and Communications top 2%
- Computational Mechanics top 5%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering top 10%
- Co-authors
- H.-Y.M. LiaoLi‐Wei KangSoo‐Chang PeiChao-Yung HsuChia-Mu YuSy‐Yen KuoHong-Yuan Mark LiaoJason P. Stanko
- Topics
- Advanced Steganography and Watermarking Techniques (42 papers)Chaos-based Image/Signal Encryption (31 papers)Sparse and Compressive Sensing Techniques (27 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Networks and Communications
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Chun-Shien Lu
117 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 77
- Computer Vision and Pattern Recognition 1.8k
- Computer Networks and Communications 599
- Computational Mechanics 347
- Artificial Intelligence 344
- Electrical and Electronic Engineering 337
Countries citing papers authored by Chun-Shien Lu
This map shows the geographic impact of Chun-Shien Lu'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 Chun-Shien Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun-Shien Lu more than expected).
Fields of papers citing papers by Chun-Shien Lu
This network shows the impact of papers produced by Chun-Shien Lu. 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 Chun-Shien Lu. The network helps show where Chun-Shien Lu may publish in the future.
Co-authorship network of co-authors of Chun-Shien Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Chun-Shien Lu. A scholar is included among the top collaborators of Chun-Shien Lu 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 Chun-Shien Lu. Chun-Shien Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 19 | |
| 6 | Difference-Seeking Generative Adversarial Network--Unseen Sample Generation | 2 |
| 7 | 12 | |
| 8 | 3 | |
| 9 | 168 | |
| 10 | Practical and Secure Multidimensional Queries in Tiered Sensor Networks | 5 |
| 11 | 5 | |
| 12 | 30 | |
| 13 | 162 | |
| 14 | 43 | |
| 15 | 71 | |
| 16 | 16 | |
| 17 | 1 | |
| 18 | 252 | |
| 19 | Oblivious Watermarking Using Generalized Gaussian | 2 |
| 20 | 1 |
About Chun-Shien Lu
Chun-Shien Lu is a scholar working on Computer Vision and Pattern Recognition, Computational Mathematics and Signal Processing, having authored 128 papers that have together received 2.7k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (42 papers), Chaos-based Image/Signal Encryption (31 papers) and Sparse and Compressive Sensing Techniques (27 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Signal Processing (291 citations) and Computer Networks and Communications (599 citations). Chun-Shien Lu has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include H.-Y.M. Liao, Li‐Wei Kang, Soo‐Chang Pei, Chao-Yung Hsu, Chia-Mu Yu, Sy‐Yen Kuo, Hong-Yuan Mark Liao, Jason P. Stanko, Tarek Abdelzaher and Tian He. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing and IEEE Access.
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.