Yuan Dong
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Computer Science Applications top 5%
- Aerospace Engineering
- Topics
- Speech Recognition and Synthesis (19 papers)Video Analysis and Summarization (18 papers)Advanced Image and Video Retrieval Techniques (18 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceScientific ReportsIEEE Transactions on Image Processing
- Partner nations
- ChinaFranceUnited Kingdom
In The Last Decade
Yuan Dong
90 papers receiving 783 citations
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 403
- Artificial Intelligence 363
- Signal Processing 148
- Computer Science Applications 76
- Aerospace Engineering 58
Countries citing papers authored by Yuan Dong
This map shows the geographic impact of Yuan Dong'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 Yuan Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan Dong more than expected).
Fields of papers citing papers by Yuan Dong
This network shows the impact of papers produced by Yuan Dong. 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 Yuan Dong. The network helps show where Yuan Dong may publish in the future.
Co-authorship network of co-authors of Yuan Dong
This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Dong. A scholar is included among the top collaborators of Yuan Dong 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 Yuan Dong. Yuan Dong 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 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 12 | |
| 10 | 6 | |
| 11 | ATRM: Attention-based Task-level Relation Module for GNN-based Few-shot Learning. | 1 |
| 12 | Multi-branch Siamese Network for High Performance Online Visual Tracking | 1 |
| 13 | 3 | |
| 14 | 22 | |
| 15 | The France Telecom Orange Labs (Beijing) Video Semantic Indexing Systems - TRECVID 2010 Notebook Paper | 5 |
| 16 | The France Telecom Orange Labs (Beijing) Video High-level Feature Extraction Systems - TrecVid 2009 Notebook Paper. | 2 |
| 17 | Support vector machines based text dependent speaker verification using HMM supervectors. | 7 |
| 18 | Chinese Word Segmentation and Named Entity Recognition Based on Conditional Random Fields | 16 |
| 19 | Using Non-Local Features to Improve Named Entity Recognition Recall | 5 |
| 20 | France Telecom R&D Beijing Word Segmenter for Sighan Bakeoff 2006 | 4 |
About Yuan Dong
Yuan Dong is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 100 papers that have together received 833 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (19 papers), Video Analysis and Summarization (18 papers) and Advanced Image and Video Retrieval Techniques (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (403 citations), Computer Science Applications (76 citations) and Signal Processing (148 citations). Yuan Dong has collaborated with scholars based in China, France and United Kingdom. Frequent co-authors include Hongliang Bai, Shiguo Lian, Haila Wang, Zhiqun He, Junfei Zhuang, Guoliang Li, Yingruo Fan, Qi Li, Kui Ren and Qian Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Image Processing.
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.