Feng Ding
Impact in
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- Digital Media Forensic Detection
- Generative Adversarial Networks and Image Synthesis
- Advanced Steganography and Watermarking Techniques
- Advanced Image Processing Techniques
- Image Enhancement Techniques
- Media Technology top 5%
Papers in
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- Digital Media Forensic Detection 19
- Generative Adversarial Networks and Image Synthesis 15
- Advanced Steganography and Watermarking Techniques 11
- Advanced Image Processing Techniques 8
- Image Enhancement Techniques 4
- Medical Image Segmentation Techniques 3
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- Adversarial Robustness in Machine Learning 5
- Co-authors
- Keping Yu (10 shared papers)Guopu Zhu (15 shared papers)Zhiwei Guo (5 shared papers)Yun-Qing Shi (6 shared papers)Xiangjun Li (3 shared papers)Alireza Jolfaei (3 shared papers)Zhangyi Shen (6 shared papers)Siwei Lyu (3 shared papers)
- Journals
- IEEE Signal Processing Letters (3 papers)IEEE Transactions on Intelligent Transportation Systems (2 papers)Information Sciences (2 papers)Journal of Visual Communication and Image Representation (2 papers)ACM Transactions on Multimedia Computing Communications and Applications (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Feng Ding
46 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 101
- Computer Vision and Pattern Recognition 525
- Media Technology 104
- Artificial Intelligence 310
- Signal Processing 90
- Information Systems 164
Countries citing papers authored by Feng Ding
This map shows the geographic impact of Feng 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 Feng Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Ding more than expected).
Fields of papers citing papers by Feng Ding
This network shows the impact of papers produced by Feng 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 Feng Ding. The network helps show where Feng Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng 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
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 105 | |
| 2 | 2020 | 90 | |
| 3 | 2021 | 75 | |
| 4 | 2021 | 73 | |
| 5 | 2022 | 73 | |
| 6 | 2023 | 50 | |
| 7 | 2023 | 42 | |
| 8 | 2022 | 39 | |
| 9 | 2014 | 38 | |
| 10 | 2021 | 37 | |
| 11 | 2022 | 35 | |
| 12 | 2021 | 34 | |
| 13 | 2024 | 33 | |
| 14 | 2022 | 30 | |
| 15 | 2020 | 27 | |
| 16 | 2022 | 25 | |
| 17 | 2017 | 25 | |
| 18 | 2019 | 23 | |
| 19 | 2017 | 22 | |
| 20 | 2014 | 19 |
About Feng Ding
Feng Ding is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Information Systems and Media Technology, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Digital Media Forensic Detection (19 papers), Generative Adversarial Networks and Image Synthesis (15 papers), Advanced Steganography and Watermarking Techniques (11 papers), Advanced Image Processing Techniques (8 papers), Adversarial Robustness in Machine Learning (5 papers), Image Enhancement Techniques (4 papers), Medical Image Segmentation Techniques (3 papers) and Image Processing Techniques and Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (525 citations), Media Technology (104 citations), Artificial Intelligence (310 citations), Signal Processing (90 citations) and Information Systems (164 citations). Feng Ding has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Keping Yu, Guopu Zhu, Zhiwei Guo, Yun-Qing Shi, Xiangjun Li, Alireza Jolfaei, Zhangyi Shen, Siwei Lyu, Pradeep K. Atrey and Mamoun Alazab. Their work appears in journals such as IEEE Signal Processing Letters, IEEE Transactions on Intelligent Transportation Systems, Information Sciences, Journal of Visual Communication and Image Representation and ACM Transactions on Multimedia Computing Communications and Applications.
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.