Xin Ding
Impact in
- Signal Processing top 5%
- Data Management and Algorithms
Papers in
-
- Advanced Image Processing Techniques 8
- Generative Adversarial Networks and Image Synthesis 5
- Image and Signal Denoising Methods 5
- Image Enhancement Techniques 4
Xin Ding
53 papers receiving 566 citations
Peers
Comparison fields: 5 of 103
- Signal Processing 130
- Computational Mathematics 6
- Computer Vision and Pattern Recognition 178
- Artificial Intelligence 218
- Computational Theory and Mathematics 80
Countries citing papers authored by Xin Ding
This map shows the geographic impact of Xin 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 Xin Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Ding more than expected).
Fields of papers citing papers by Xin Ding
This network shows the impact of papers produced by Xin 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 Xin Ding. The network helps show where Xin Ding may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xin Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 10 | |
| 8 | 2022 | 38 | |
| 9 | 2022 | 7 | |
| 10 | 2022 | 24 | |
| 11 | 2022 | 12 | |
| 12 | 2022 | 8 | |
| 13 | 2021 | 4 | |
| 14 | 2021 | 18 | |
| 15 | 2020 | 9 | |
| 16 | CcGAN: Continuous Conditional Generative Adversarial Networks for Image Generation | 2020 | 9 |
| 17 | 2018 | 5 | |
| 18 | 2017 | 6 | |
| 19 | 2017 | 6 | |
| 20 | 2012 | 30 |
About Xin Ding
Xin Ding is a scholar working on Computer Vision and Pattern Recognition, General Engineering, Critical Care and Intensive Care Medicine, Signal Processing and Filtration and Separation, having authored 56 papers that have together received 585 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (8 papers), Sparse and Compressive Sensing Techniques (7 papers), Generative Adversarial Networks and Image Synthesis (5 papers), Image and Signal Denoising Methods (5 papers), Microwave Imaging and Scattering Analysis (5 papers), Ultrasound in Clinical Applications (4 papers), Data Management and Algorithms (4 papers) and Image Enhancement Techniques (4 papers). The work is most often cited by research in Signal Processing (130 citations), Computational Mathematics (6 citations), Computer Vision and Pattern Recognition (178 citations), Artificial Intelligence (218 citations) and Computational Theory and Mathematics (80 citations). Xin Ding has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Hong Yu, Yunsheng Liu, Guoyin Wang, Shuyin Xia, Wei Chen, Lu Chen, Ian Wassell, Yunjun Gao, Z. Jane Wang and Christian S. Jensen. Their work appears in journals such as Chemical Engineering & Technology, Neurocomputing, IEEE Transactions on Medical Imaging, IEEE Transactions on Signal Processing and Information Sciences.
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.