Ding-Jie Chen
Impact in
-
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Visual Attention and Saliency Detection
- Media Technology top 10%
- Image Processing Techniques and Applications
Papers in ⓘ
-
- Advanced Neural Network Applications 6
- Advanced Image and Video Retrieval Techniques 5
- Multimodal Machine Learning Applications 4
- Human Pose and Action Recognition 4
- Advanced Vision and Imaging 4
- Visual Attention and Saliency Detection 3
-
- Domain Adaptation and Few-Shot Learning 4
- Co-authors
- Hwann-Tzong Chen (9 shared papers)Tyng-Luh Liu (8 shared papers)Long-Wen Chang (6 shared papers)He‐Yen Hsieh (5 shared papers)Yi‐Chen Lo (1 shared paper)Suyun Zhao (1 shared paper)Hong Chen (1 shared paper)Weili Han (1 shared paper)
- Journals
- ACM Transactions on the Web (1 paper)Information Sciences (1 paper)Machine Vision and Applications (1 paper)IEEE Transactions on Circuits and Systems for Video Technology (1 paper)Journal of Visual Communication and Image Representation (1 paper)
- Partner nations
- TaiwanChinaLuxembourg
In The Last Decade
Ding-Jie Chen
17 papers receiving 269 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 209
- Media Technology 37
- Artificial Intelligence 105
- Information Systems 35
- Signal Processing 16
Countries citing papers authored by Ding-Jie Chen
This map shows the geographic impact of Ding-Jie 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 Ding-Jie Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding-Jie Chen more than expected).
Fields of papers citing papers by Ding-Jie Chen
This network shows the impact of papers produced by Ding-Jie 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 Ding-Jie Chen. The network helps show where Ding-Jie Chen may publish in the future.
Co-authors
The 13 scholars most cited alongside Ding-Jie 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 | 2019 | 86 | |
| 2 | 2021 | 46 | |
| 3 | 2012 | 29 | |
| 4 | 2013 | 26 | |
| 5 | 2016 | 22 | |
| 6 | 2021 | 21 | |
| 7 | 2018 | 10 | |
| 8 | 2022 | 9 | |
| 9 | 2023 | 5 | |
| 10 | 2020 | 5 | |
| 11 | 2018 | 4 | |
| 12 | 2017 | 3 | |
| 13 | 2021 | 3 | |
| 14 | 2021 | 2 | |
| 15 | 2019 | 2 | |
| 16 | 2018 | 1 | |
| 17 | 2020 | 1 |
About Ding-Jie Chen
Ding-Jie Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Media Technology and Information Systems, having authored 17 papers that have together received 275 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Advanced Image and Video Retrieval Techniques (5 papers), Multimodal Machine Learning Applications (4 papers), Human Pose and Action Recognition (4 papers), Advanced Vision and Imaging (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Image Processing Techniques and Applications (3 papers) and Visual Attention and Saliency Detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (209 citations), Media Technology (37 citations), Artificial Intelligence (105 citations), Information Systems (35 citations) and Signal Processing (16 citations). Ding-Jie Chen has collaborated with scholars based in Taiwan, China and Luxembourg. Frequent co-authors include Hwann-Tzong Chen, Tyng-Luh Liu, Long-Wen Chang, He‐Yen Hsieh, Yi‐Chen Lo, Suyun Zhao, Hong Chen, Weili Han, Chen Chen and Kai Wang. Their work appears in journals such as ACM Transactions on the Web, Information Sciences, Machine Vision and Applications, IEEE Transactions on Circuits and Systems for Video Technology and Journal of Visual Communication and Image Representation.
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.