Yu‐Chen Hu
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Signal Processing top 2%
- Computer Networks and Communications top 5%
- Information Systems top 2%
- Co-authors
- Chin‐Chen ChangPiyu TsaiHsiu‐Lien YehYogesh KumarYu‐Hsiu LinWu‐Lin ChenChia‐Chen LinJun-Chou Chuang
- Topics
- Advanced Data Compression Techniques (57 papers)Advanced Steganography and Watermarking Techniques (57 papers)Chaos-based Image/Signal Encryption (47 papers)
- Journals
- SHILAP Revista de lepidopterologíaRenewable and Sustainable Energy ReviewsScientific Reports
In The Last Decade
Yu‐Chen Hu
198 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Computer Vision and Pattern Recognition 2.2k
- Artificial Intelligence 537
- Signal Processing 454
- Computer Networks and Communications 387
- Information Systems 312
Countries citing papers authored by Yu‐Chen Hu
This map shows the geographic impact of Yu‐Chen Hu'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 Yu‐Chen Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Chen Hu more than expected).
Fields of papers citing papers by Yu‐Chen Hu
This network shows the impact of papers produced by Yu‐Chen Hu. 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 Yu‐Chen Hu. The network helps show where Yu‐Chen Hu may publish in the future.
Co-authorship network of co-authors of Yu‐Chen Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Chen Hu. A scholar is included among the top collaborators of Yu‐Chen Hu 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 Yu‐Chen Hu. Yu‐Chen Hu 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 | 0 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 13 | |
| 13 | 17 | |
| 14 | 5 | |
| 15 | 23 | |
| 16 | 22 | |
| 17 | Low-Computation-Cost Data Hiding Scheme Based on Turtle Shell. | 1 |
| 18 | An Image Authentication Method for Secure Internet-Based Communication in Human-Centric Computing | 0 |
| 19 | Reversible Data Hiding in Encrypted Images Based on Bit-plane Block Embedding. | 3 |
| 20 | Public-Key Inter-Block Dependence Fragile Watermarking for Image Authentication Using Continued Fraction. | 3 |
About Yu‐Chen Hu
Yu‐Chen Hu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 221 papers that have together received 3.5k indexed citations. Recurring topics across this work include Advanced Data Compression Techniques (57 papers), Advanced Steganography and Watermarking Techniques (57 papers) and Chaos-based Image/Signal Encryption (47 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.2k citations), Signal Processing (454 citations) and Health Informatics (24 citations). Yu‐Chen Hu has collaborated with scholars based in Taiwan, India and China. Frequent co-authors include Chin‐Chen Chang, Piyu Tsai, Hsiu‐Lien Yeh, Yogesh Kumar, Yu‐Hsiu Lin, Wu‐Lin Chen, Chia‐Chen Lin, Jun-Chou Chuang, Ashok Kumar and Ruchi Singla. Their work appears in journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Scientific Reports.
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.