Yaoqi Sun
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 10%
- Industrial and Manufacturing Engineering top 5%
- Media Technology top 5%
- Artificial Intelligence top 10%
- Topics
- Visual Attention and Saliency Detection (18 papers)Advanced Image and Video Retrieval Techniques (13 papers)Advanced Neural Network Applications (12 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyIndustrial and Manufacturing Engineering
- Journals
- BioinformaticsIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote Sensing
- Partner nations
- ChinaUnited KingdomMacao
In The Last Decade
Yaoqi Sun
46 papers receiving 870 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 649
- Aerospace Engineering 181
- Industrial and Manufacturing Engineering 113
- Media Technology 112
- Artificial Intelligence 102
Countries citing papers authored by Yaoqi Sun
This map shows the geographic impact of Yaoqi Sun'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 Yaoqi Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaoqi Sun more than expected).
Fields of papers citing papers by Yaoqi Sun
This network shows the impact of papers produced by Yaoqi Sun. 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 Yaoqi Sun. The network helps show where Yaoqi Sun may publish in the future.
Co-authorship network of co-authors of Yaoqi Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Yaoqi Sun. A scholar is included among the top collaborators of Yaoqi Sun 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 Yaoqi Sun. Yaoqi Sun 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 | 19 | |
| 3 | 2 | |
| 4 | 20 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 9 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 25 | |
| 13 | 40 | |
| 14 | 2 | |
| 15 | 8 | |
| 16 | 47 | |
| 17 | 102 | |
| 18 | 156 | |
| 19 | 69 | |
| 20 | 21 |
About Yaoqi Sun
Yaoqi Sun is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Industrial and Manufacturing Engineering, having authored 53 papers that have together received 877 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (18 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Advanced Neural Network Applications (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (649 citations), Media Technology (112 citations) and Industrial and Manufacturing Engineering (113 citations). Yaoqi Sun has collaborated with scholars based in China, United Kingdom and Macao. Frequent co-authors include Chenggang Yan, Jiyong Zhang, Bolun Zheng, Xiaofei Zhou, Zhedong Zheng, Tingyu Wang, Yi Yang, Liang Li, Jiehua Zhang and Jian Yin. Their work appears in journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Geoscience and Remote Sensing.
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.