Yuan Dong

2.2k total citations
100 papers, 833 citations indexed

About

Yuan Dong is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Yuan Dong has authored 100 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Computer Vision and Pattern Recognition, 44 papers in Artificial Intelligence and 25 papers in Signal Processing. Recurrent topics in Yuan Dong's work include Speech Recognition and Synthesis (19 papers), Video Analysis and Summarization (18 papers) and Advanced Image and Video Retrieval Techniques (18 papers). Yuan Dong is often cited by papers focused on Speech Recognition and Synthesis (19 papers), Video Analysis and Summarization (18 papers) and Advanced Image and Video Retrieval Techniques (18 papers). Yuan Dong collaborates with scholars based in China, France and United Kingdom. Yuan Dong's co-authors include Hongliang Bai, Shiguo Lian, Haila Wang, Zhiqun He, Junfei Zhuang, Guoliang Li, Yingruo Fan, Qi Li, Kui Ren and Qian Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Yuan Dong

90 papers receiving 783 citations

Peers

Yuan Dong
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 403
  • Artificial Intelligence 363
  • Signal Processing 148
  • Computer Science Applications 76
  • Aerospace Engineering 58
Replace Andreas Veit with:
Andreas Veit United States
Longbiao Chen China
Cong Liu China
Xu Jia China
Weina Fu China
Caiming Zhong China
Adrian Popescu France
Zhenghua Xu China
Andreas Veit United States View profile →
Citations per field, relative to Yuan Dong
Yuan Dong · 1×
Citations per year, relative to Yuan Dong
Yuan Dong · 1×

Countries citing papers authored by Yuan Dong

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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