Hui Xue
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Global and Planetary Change top 5%
- Electrical and Electronic Engineering
- Signal Processing top 5%
- Topics
- Domain Adaptation and Few-Shot Learning (14 papers)Adversarial Robustness in Machine Learning (13 papers)Power System Optimization and Stability (12 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Hui Xue
90 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Computer Vision and Pattern Recognition 733
- Artificial Intelligence 695
- Global and Planetary Change 300
- Electrical and Electronic Engineering 259
- Signal Processing 234
Countries citing papers authored by Hui Xue
This map shows the geographic impact of Hui Xue'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 Hui Xue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Xue more than expected).
Fields of papers citing papers by Hui Xue
This network shows the impact of papers produced by Hui Xue. 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 Hui Xue. The network helps show where Hui Xue may publish in the future.
Co-authorship network of co-authors of Hui Xue
This figure shows the co-authorship network connecting the top 25 collaborators of Hui Xue. A scholar is included among the top collaborators of Hui Xue 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 Hui Xue. Hui Xue 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 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 17 | |
| 6 | 7 | |
| 7 | 5 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | 30 | |
| 12 | 16 | |
| 13 | 34 | |
| 14 | 10 | |
| 15 | Towards discovering and understanding task hijacking in android | 54 |
| 16 | Using replicated execution for a more secure and reliable web browser. | 10 |
| 17 | An improved canny edge detection algorithm based on predisposal method for image corrupted by gaussian noise | 20 |
| 18 | 78 | |
| 19 | Decentralized stabilizer design for model-uncertain large interconnected power systems based on WAMS | 1 |
| 20 | A Dynamic State Estimation method with PMU and SCADA measurement for power systems | 26 |
About Hui Xue
Hui Xue is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 98 papers that have together received 2.2k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (14 papers), Adversarial Robustness in Machine Learning (13 papers) and Power System Optimization and Stability (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (733 citations), Signal Processing (234 citations) and Artificial Intelligence (695 citations). Hui Xue has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yuan He, Yuefeng Chen, Xiaodan Li, Ying Ge, Jie Chang, Changhui Peng, Weiming Zhang, Nenghai Yu, Honggu Liu and Wenbo Zhou. Their work appears in journals such as Chemical Communications, Scientific Reports and Chemical Engineering Journal.
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.