Long-Wen Chang
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 10%
- Media Technology top 5%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Co-authors
- Han-Min TsaiDing-Jie ChenHwann-Tzong ChenShang‐Hong LaiWen‐Nung LiePei-Chi HsiaoGary D. StormoRakesh Nagarajan
- Topics
- Advanced Steganography and Watermarking Techniques (14 papers)Advanced Image and Video Retrieval Techniques (13 papers)Advanced Data Compression Techniques (12 papers)
In The Last Decade
Long-Wen Chang
56 papers receiving 485 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 436
- Signal Processing 85
- Media Technology 79
- Artificial Intelligence 43
- Electrical and Electronic Engineering 27
Countries citing papers authored by Long-Wen Chang
This map shows the geographic impact of Long-Wen Chang'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 Long-Wen Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long-Wen Chang more than expected).
Fields of papers citing papers by Long-Wen Chang
This network shows the impact of papers produced by Long-Wen Chang. 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 Long-Wen Chang. The network helps show where Long-Wen Chang may publish in the future.
Co-authorship network of co-authors of Long-Wen Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Long-Wen Chang. A scholar is included among the top collaborators of Long-Wen Chang 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 Long-Wen Chang. Long-Wen Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | Zernike Moments and Edge Features Based Semi-Fragile Watermark for Image Authentication with Tampering Localization | 2 |
| 7 | 14 | |
| 8 | 20 | |
| 9 | Robust Pose Estimation with 3D Textured Models | 8 |
| 10 | 21 | |
| 11 | 18 | |
| 12 | 9 | |
| 13 | 7 | |
| 14 | Advances in multimedia information processing - PCM 2002 : Third IEEE Pacific Rim Conference on Multimedia, Hsinchu, Taiwan, December 16-18, 2002 : proceedings | 1 |
| 15 | Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing | 1 |
| 16 | 8 | |
| 17 | 1 | |
| 18 | 18 | |
| 19 | 1 | |
| 20 | 15 |
About Long-Wen Chang
Long-Wen Chang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design, having authored 61 papers that have together received 539 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (14 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Advanced Data Compression Techniques (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (436 citations), Media Technology (79 citations) and Signal Processing (85 citations). Long-Wen Chang has collaborated with scholars based in Taiwan, Germany and China. Frequent co-authors include Han-Min Tsai, Ding-Jie Chen, Hwann-Tzong Chen, Shang‐Hong Lai, Wen‐Nung Lie, Pei-Chi Hsiao, Gary D. Stormo, Rakesh Nagarajan, Wen-Hsin Chang and Zeming Chen. Their work appears in journals such as Nucleic Acids Research, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.
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.