Huiying Xu
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Signal Processing
- Biomedical Engineering
- Molecular Biology
- Co-authors
- Xinzhong ZhuJianmin ZhaoMiaomiao LiTewodros Alemu AyallSiwei WangYuxing ChenWenhao ZhangMatti Pietikäinen
- Topics
- Face and Expression Recognition (5 papers)Video Analysis and Summarization (4 papers)Image Retrieval and Classification Techniques (4 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Huiying Xu
35 papers receiving 286 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 138
- Artificial Intelligence 67
- Signal Processing 35
- Biomedical Engineering 23
- Molecular Biology 22
Countries citing papers authored by Huiying Xu
This map shows the geographic impact of Huiying Xu'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 Huiying Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huiying Xu more than expected).
Fields of papers citing papers by Huiying Xu
This network shows the impact of papers produced by Huiying Xu. 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 Huiying Xu. The network helps show where Huiying Xu may publish in the future.
Co-authorship network of co-authors of Huiying Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Huiying Xu. A scholar is included among the top collaborators of Huiying Xu 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 Huiying Xu. Huiying Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | SCSA: Exploring the synergistic effects between spatial and channel attentionbreakdown → | 41 |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 3 | |
| 12 | 13 | |
| 13 | 21 | |
| 14 | 10 | |
| 15 | 11 | |
| 16 | 29 | |
| 17 | Vehicle-rear Detection Method Based on Adaboost | 2 |
| 18 | 3 | |
| 19 | Video Moving Target Tracking Algorithm Based on Combination of Mean Shift and Kalman Predictor | 1 |
| 20 | 1 |
About Huiying Xu
Huiying Xu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biophysics, having authored 40 papers that have together received 298 indexed citations. Recurring topics across this work include Face and Expression Recognition (5 papers), Video Analysis and Summarization (4 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (138 citations), Signal Processing (35 citations) and Biophysics (14 citations). Huiying Xu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xinzhong Zhu, Jianmin Zhao, Miaomiao Li, Tewodros Alemu Ayall, Siwei Wang, Yuxing Chen, Wenhao Zhang, Matti Pietikäinen, Li Liu and Jiajia Chen. Their work appears in journals such as Analytica Chimica Acta, Sensors and Actuators B Chemical and IEEE Transactions on Cybernetics.
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.