Felix Juefei-Xu
- Software top 1%
-
- Face recognition and analysis 19
- Face and Expression Recognition 14
- Advanced Neural Network Applications 12
- Digital Media Forensic Detection 12
- Generative Adversarial Networks and Image Synthesis 10
- Signal Processing top 1%
- Biometric Identification and Security 15
- Artificial Intelligence top 1%
- Adversarial Robustness in Machine Learning 28
- Anomaly Detection Techniques and Applications 12
- Media Technology top 5%
- Journals
- IEEE Transactions on Image Processing (2 papers)Pattern Recognition (3 papers)International Journal of Computer Vision (2 papers)
- Partner nations
- United StatesSingaporeChina
In The Last Decade
Felix Juefei-Xu
78 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Software 357
- Computer Vision and Pattern Recognition 1.6k
- Signal Processing 587
- Artificial Intelligence 1.0k
- Media Technology 132
Countries citing papers authored by Felix Juefei-Xu
This map shows the geographic impact of Felix Juefei-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 Felix Juefei-Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Felix Juefei-Xu more than expected).
Fields of papers citing papers by Felix Juefei-Xu
This network shows the impact of papers produced by Felix Juefei-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 Felix Juefei-Xu. The network helps show where Felix Juefei-Xu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Felix Juefei-Xu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 11 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 2 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 10 | |
| 14 | 2023 | 1 | |
| 15 | 2022 | 58 | |
| 16 | 2022 | 105 | |
| 17 | 2021 | 9 | |
| 18 | ABBA: Saliency-Regularized Motion-Based Adversarial Blur Attack | 2020 | 2 |
| 19 | Watch out! Motion is Blurring the Vision of Your Deep Neural Networks | 2020 | 3 |
| 20 | Coverage-Guided Fuzzing for Deep Neural Networks. | 2018 | 18 |
About Felix Juefei-Xu
Felix Juefei-Xu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Software, having authored 85 papers that have together received 2.6k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (28 papers), Face recognition and analysis (19 papers), Biometric Identification and Security (15 papers), Face and Expression Recognition (14 papers), Anomaly Detection Techniques and Applications (12 papers), Advanced Neural Network Applications (12 papers), Digital Media Forensic Detection (12 papers) and Generative Adversarial Networks and Image Synthesis (10 papers). The work is most often cited by research in Software (357 citations), Computer Vision and Pattern Recognition (1.6k citations) and Signal Processing (587 citations). Felix Juefei-Xu has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Marios Savvides, Yang Liu, Lei Ma, Qing Guo, Jianjun Zhao, Xiaofei Xie, Dipan K. Pal, Minhui Xue, Yihao Huang and Run Wang. Their work appears in journals such as IEEE Transactions on Image Processing, Pattern Recognition and International Journal of Computer Vision.
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.