Ding‐Yun Chen
- Computer Vision and Pattern Recognition top 1%
- Computational Mechanics top 1%
- Computer Graphics and Computer-Aided Design top 1%
- Geology top 2%
- Aerospace Engineering top 10%
- Co-authors
- Ming OuhyoungXu-hong TianY. SHENJa‐Ling WuChun-Hsiang HuangChung-Hung TsaiBing‐Yu ChenJen-Yuan Chiang
- Topics
- Advanced Steganography and Watermarking Techniques (3 papers)Advanced Image and Video Retrieval Techniques (3 papers)Chaos-based Image/Signal Encryption (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- Computer Graphics ForumIEEE Transactions on Consumer ElectronicsNTUR (臺灣機構典藏)
- Partner nations
- TaiwanUnited States
In The Last Decade
Ding‐Yun Chen
8 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 891
- Computational Mechanics 773
- Computer Graphics and Computer-Aided Design 261
- Geology 170
- Aerospace Engineering 158
Countries citing papers authored by Ding‐Yun Chen
This map shows the geographic impact of Ding‐Yun 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‐Yun 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‐Yun Chen more than expected).
Fields of papers citing papers by Ding‐Yun Chen
This network shows the impact of papers produced by Ding‐Yun 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‐Yun Chen. The network helps show where Ding‐Yun Chen may publish in the future.
Co-authorship network of co-authors of Ding‐Yun Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Ding‐Yun Chen. A scholar is included among the top collaborators of Ding‐Yun 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 Ding‐Yun Chen. Ding‐Yun 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 | 0 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | On Visual Similarity Based 3D Model Retrievalbreakdown → | 976 |
| 5 | 16 | |
| 6 | 5 | |
| 7 | A 3D Object Retrieval System Based on Multi-Resolution Reeb Graph | 29 |
| 8 | 1 | |
| 9 | 19 |
About Ding‐Yun Chen
Ding‐Yun Chen is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Hardware and Architecture, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Chaos-based Image/Signal Encryption (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (261 citations), Computer Vision and Pattern Recognition (891 citations) and Computational Mechanics (773 citations). Ding‐Yun Chen has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Ming Ouhyoung, Xu-hong Tian, Y. SHEN, Ja‐Ling Wu, Chun-Hsiang Huang, Chung-Hung Tsai, Bing‐Yu Chen, Jen-Yuan Chiang, Liang‐Kai Wang and Mingyang Yu. Their work appears in journals such as Computer Graphics Forum, IEEE Transactions on Consumer Electronics and NTUR (臺灣機構典藏).
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.