Jian–Jiun Ding
- Computer Vision and Pattern Recognition top 0.5%
- Applied Mathematics top 0.5%
- Signal Processing top 0.5%
- Media Technology top 1%
- Electrical and Electronic Engineering
- Co-authors
- Soo‐Chang PeiWei‐Ting ChenSy‐Yen KuoWei‐Lun ChaoWen-Liang HsueHaoyu FangJeng‐Shian ChangCheng‐Lin Hsieh
- Topics
- Image and Signal Denoising Methods (58 papers)Mathematical Analysis and Transform Methods (35 papers)Digital Filter Design and Implementation (34 papers)
- Journals
- Scientific ReportsIEEE Transactions on Image ProcessingIEEE Transactions on Signal Processing
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Jian–Jiun Ding
183 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 134
- Computer Vision and Pattern Recognition 2.2k
- Applied Mathematics 1.2k
- Signal Processing 918
- Media Technology 372
- Electrical and Electronic Engineering 239
Countries citing papers authored by Jian–Jiun Ding
This map shows the geographic impact of Jian–Jiun Ding'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 Jian–Jiun Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian–Jiun Ding more than expected).
Fields of papers citing papers by Jian–Jiun Ding
This network shows the impact of papers produced by Jian–Jiun Ding. 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 Jian–Jiun Ding. The network helps show where Jian–Jiun Ding may publish in the future.
Co-authorship network of co-authors of Jian–Jiun Ding
This figure shows the co-authorship network connecting the top 25 collaborators of Jian–Jiun Ding. A scholar is included among the top collaborators of Jian–Jiun Ding 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 Jian–Jiun Ding. Jian–Jiun Ding 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 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 114 | |
| 9 | 7 | |
| 10 | 33 | |
| 11 | 3 | |
| 12 | Improved JPEG 2000 system using LS prediction and grouping context coding scheme | 0 |
| 13 | Edge-membership based blurred image reconstruction algorithm | 0 |
| 14 | 17 | |
| 15 | 0 | |
| 16 | 16 | |
| 17 | Uncertainty Principle of the 2-D Affine Generalized Fractional Fourier Transform | 4 |
| 18 | Properties, digital implementation, applications, and self image phenomena of the gyrator transform | 12 |
| 19 | 21 | |
| 20 | 85 |
About Jian–Jiun Ding
Jian–Jiun Ding is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Applied Mathematics, having authored 208 papers that have together received 3.2k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (58 papers), Mathematical Analysis and Transform Methods (35 papers) and Digital Filter Design and Implementation (34 papers). The work is most often cited by research in Applied Mathematics (1.2k citations), Computer Vision and Pattern Recognition (2.2k citations) and Signal Processing (918 citations). Jian–Jiun Ding has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Soo‐Chang Pei, Wei‐Ting Chen, Sy‐Yen Kuo, Wei‐Lun Chao, Wen-Liang Hsue, Haoyu Fang, Jeng‐Shian Chang, Cheng‐Lin Hsieh, Hao-Hsiang Yang and Zhi-Kai Huang. Their work appears in journals such as Scientific Reports, 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.