Dongdong Chen
-
- Generative Adversarial Networks and Image Synthesis 24
- Advanced Neural Network Applications 20
- Advanced Image Processing Techniques 15
- Image Enhancement Techniques 13
- Multimodal Machine Learning Applications 12
- Digital Media Forensic Detection 10
- Media Technology top 0.2%
- Artificial Intelligence top 0.5%
- Adversarial Robustness in Machine Learning 17
- Domain Adaptation and Few-Shot Learning 12
- Signal Processing top 2%
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignMedia Technology
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (12 papers)IEEE Transactions on Visualization and Computer Graphics (5 papers)IEEE Transactions on Image Processing (5 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Dongdong Chen
169 papers receiving 8.9k citations
Hit Papers
Peers
Comparison fields: 5 of 202
- Computer Vision and Pattern Recognition 5.6k
- Computer Graphics and Computer-Aided Design 522
- Media Technology 1.0k
- Artificial Intelligence 1.6k
- Signal Processing 375
Countries citing papers authored by Dongdong Chen
This map shows the geographic impact of Dongdong Chen'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 Dongdong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongdong Chen more than expected).
Fields of papers citing papers by Dongdong Chen
This network shows the impact of papers produced by Dongdong Chen. 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 Dongdong Chen. The network helps show where Dongdong Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dongdong Chen, 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 | 0 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 9 | |
| 7 | 2024 | 10 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 40 | |
| 11 | 2023 | 4 | |
| 12 | 2021 | 10 | |
| 13 | 2021 | 46 | |
| 14 | 2020 | 38 | |
| 15 | Passport-aware Normalization for Deep Model Protection | 2020 | 3 |
| 16 | 2019 | 40 | |
| 17 | Deep Fully Convolutional Network for MR Fingerprinting | 2019 | 1 |
| 18 | 2019 | 67 | |
| 19 | A deep learning approach for Magnetic Resonance Fingerprinting. | 2018 | 1 |
| 20 | 2014 | 4 |
About Dongdong Chen
Dongdong Chen is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 178 papers that have together received 9.1k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (24 papers), Advanced Neural Network Applications (20 papers), Adversarial Robustness in Machine Learning (17 papers), Advanced Image Processing Techniques (15 papers), Image Enhancement Techniques (13 papers), Domain Adaptation and Few-Shot Learning (12 papers), Multimodal Machine Learning Applications (12 papers) and Digital Media Forensic Detection (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.6k citations), Computer Graphics and Computer-Aided Design (522 citations) and Media Technology (1.0k citations). Dongdong Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Lu Yuan, Nenghai Yu, Jing Liao, Weiming Zhang, Xiyang Dai, Yinpeng Chen, Mengchen Liu, Zicheng Liu, Xiaoyi Dong and Jianmin Bao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Visualization and Computer Graphics, IEEE Transactions on Image Processing, ACM Transactions on Graphics and Sensors and Actuators B Chemical.
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.