Hui Xue

3.3k citations
98 papers · 2.2k indexed · 1 hit paper · h-index 23

Hui Xue

90 papers receiving 2.1k citations

Hit Papers

Spatial-Phase Shallow Learning: Rethinking Face Forgery D...3382021202620222024100200300

Peers

Hui Xue
Comparison fields: 5 of 146
  • Computer Vision and Pattern Recognition 733
  • Signal Processing 234
  • Artificial Intelligence 695
  • Global and Planetary Change 300
  • Software 40
Replace Peng Liu with:
Peng Liu China
Yan Ma China
Mohd Anul Haq Saudi Arabia
Wenbo Zheng China
Uzair Aslam Bhatti China
Xiaowei Huang China
Xin Hu China
Kapil Sharma India
Azizah Abdul Manaf Malaysia
Chunming Hu China
Hui Xue relative to Peng Liu China Peng Liu's profile →
Citations per field
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Peng Liu · 1×
Citations per year

Countries citing papers authored by Hui Xue

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Hui Xue, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hui Xue Line = papers co-authored together Hui Xue links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20250
4 20246
5 202417
6 20237
7 20235
8 20234
9 20234
10 20233
11 202130
12 202116
13 202034
14 201610
15
Towards discovering and understanding task hijacking in android
201554
16
Using replicated execution for a more secure and reliable web browser.
201210
17
An improved canny edge detection algorithm based on predisposal method for image corrupted by gaussian noise
201020
18 200878
19
Decentralized stabilizer design for model-uncertain large interconnected power systems based on WAMS
20071
20
A Dynamic State Estimation method with PMU and SCADA measurement for power systems
200726

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), Power System Optimization and Stability (12 papers), Advanced Malware Detection Techniques (9 papers), Generative Adversarial Networks and Image Synthesis (9 papers), Multimodal Machine Learning Applications (8 papers), Anomaly Detection Techniques and Applications (8 papers) and Advanced Electrical Measurement Techniques (7 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.

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