Dongdong Chen
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging
- Electrical and Electronic Engineering
- Mechanics of Materials
- Co-authors
- Yi ZhangXiaohai HeQizhi TengSeok‐Bum KoMike E. DaviesHao ZhangWei GaoZhi‐Hua Zhou
- Topics
- Generative Adversarial Networks and Image Synthesis (4 papers)Digital Filter Design and Implementation (4 papers)Face and Expression Recognition (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignArtificial Intelligence
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceFuelIEEE Transactions on Medical Imaging
- Partner nations
- ChinaUnited KingdomCanada
In The Last Decade
Dongdong Chen
42 papers receiving 711 citations
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 239
- Computer Vision and Pattern Recognition 220
- Radiology, Nuclear Medicine and Imaging 96
- Electrical and Electronic Engineering 90
- Mechanics of Materials 76
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 of co-authors of Dongdong Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Dongdong Chen. A scholar is included among the top collaborators of Dongdong Chen 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 Dongdong Chen. Dongdong Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 16 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 58 | |
| 10 | 8 | |
| 11 | 7 | |
| 12 | 3 | |
| 13 | 50 | |
| 14 | Unsupervised Multi-Manifold Clustering by Learning Deep Representation. | 31 |
| 15 | 4 | |
| 16 | 2 | |
| 17 | 51 | |
| 18 | 15 | |
| 19 | 53 | |
| 20 | 2 |
About Dongdong Chen
Dongdong Chen is a scholar working on Computer Vision and Pattern Recognition, Business and International Management and Fluid Flow and Transfer Processes, having authored 43 papers that have together received 725 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (4 papers), Digital Filter Design and Implementation (4 papers) and Face and Expression Recognition (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (220 citations), Computer Graphics and Computer-Aided Design (28 citations) and Artificial Intelligence (239 citations). Dongdong Chen has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Yi Zhang, Xiaohai He, Qizhi Teng, Seok‐Bum Ko, Mike E. Davies, Hao Zhang, Wei Gao, Zhi‐Hua Zhou, Jiancheng Lv and William H. Nailon. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Fuel and IEEE Transactions on Medical Imaging.
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.