Hua-Wen Chang
- Computer Vision and Pattern Recognition top 2%
- Media Technology top 2%
- Signal Processing top 10%
- Atomic and Molecular Physics, and Optics
- Electrical and Electronic Engineering
- Co-authors
- Yong GanMinghui WangQiuwen ZhangQinggang WuShuo YangJie XuBin LinKai Chen
- Topics
- Advanced Image Fusion Techniques (13 papers)Image and Video Quality Assessment (12 papers)Advanced Vision and Imaging (6 papers)
In The Last Decade
Hua-Wen Chang
19 papers receiving 384 citations
Peers
Comparison fields: 5 of 51
- Computer Vision and Pattern Recognition 365
- Media Technology 194
- Signal Processing 61
- Atomic and Molecular Physics, and Optics 50
- Electrical and Electronic Engineering 22
Countries citing papers authored by Hua-Wen Chang
This map shows the geographic impact of Hua-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 Hua-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 Hua-Wen Chang more than expected).
Fields of papers citing papers by Hua-Wen Chang
This network shows the impact of papers produced by Hua-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 Hua-Wen Chang. The network helps show where Hua-Wen Chang may publish in the future.
Co-authorship network of co-authors of Hua-Wen Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Hua-Wen Chang. A scholar is included among the top collaborators of Hua-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 Hua-Wen Chang. Hua-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 | 4 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 14 | |
| 8 | 0 | |
| 9 | 29 | |
| 10 | 8 | |
| 11 | 55 | |
| 12 | 2 | |
| 13 | 14 | |
| 14 | 53 | |
| 15 | 122 | |
| 16 | 56 | |
| 17 | Sparse feature fidelity for image quality assessment | 2 |
| 18 | 13 | |
| 19 | 4 | |
| 20 | 8 |
About Hua-Wen Chang
Hua-Wen Chang is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Signal Processing, having authored 20 papers that have together received 397 indexed citations. Recurring topics across this work include Advanced Image Fusion Techniques (13 papers), Image and Video Quality Assessment (12 papers) and Advanced Vision and Imaging (6 papers). The work is most often cited by research in Media Technology (194 citations), Computer Vision and Pattern Recognition (365 citations) and Signal Processing (61 citations). Hua-Wen Chang has collaborated with scholars based in China and Taiwan. Frequent co-authors include Yong Gan, Minghui Wang, Qiuwen Zhang, Qinggang Wu, Shuo Yang, Jie Xu, Bin Lin, Kai Chen, Weiwei Zhang and Pei‐Jun Lee. Their work appears in journals such as IEEE Transactions on Image Processing, Neurocomputing and IEEE Signal Processing Letters.
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.