Yuezun Li
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Signal Processing top 5%
- Sociology and Political Science
- Information Systems top 10%
- Co-authors
- Siwei LyuXin YangHonggang QiPu SunMing‐Ching ChangJunyu DongHan ChenJing Hu
- Topics
- Face recognition and analysis (17 papers)Digital Media Forensic Detection (17 papers)Generative Adversarial Networks and Image Synthesis (15 papers)
- Journals
- Pattern RecognitionIEEE Transactions on Neural Networks and Learning SystemsIEEE Transactions on Circuits and Systems for Video Technology
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yuezun Li
37 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 2.3k
- Artificial Intelligence 801
- Signal Processing 210
- Sociology and Political Science 86
- Information Systems 55
Countries citing papers authored by Yuezun Li
This map shows the geographic impact of Yuezun Li'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 Yuezun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuezun Li more than expected).
Fields of papers citing papers by Yuezun Li
This network shows the impact of papers produced by Yuezun Li. 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 Yuezun Li. The network helps show where Yuezun Li may publish in the future.
Co-authorship network of co-authors of Yuezun Li
This figure shows the co-authorship network connecting the top 25 collaborators of Yuezun Li. A scholar is included among the top collaborators of Yuezun Li 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 Yuezun Li. Yuezun Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 3 | |
| 12 | 11 | |
| 13 | 5 | |
| 14 | 5 | |
| 15 | Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensicsbreakdown → | 899 |
| 16 | Celeb-DF: A New Dataset for DeepFake Forensics | 59 |
| 17 | Exploring the Vulnerability of Single Shot Module in Object Detectors via Imperceptible Background Patches. | 5 |
| 18 | Robust Adversarial Perturbation on Deep Proposal-based Models. | 7 |
| 19 | Exposing DeepFake Videos By Detecting Face Warping Artifacts | 119 |
| 20 | Attacking Object Detectors via Imperceptible Patches on Background. | 5 |
About Yuezun Li
Yuezun Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 43 papers that have together received 2.5k indexed citations. Recurring topics across this work include Face recognition and analysis (17 papers), Digital Media Forensic Detection (17 papers) and Generative Adversarial Networks and Image Synthesis (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.3k citations), Artificial Intelligence (801 citations) and Signal Processing (210 citations). Yuezun Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Siwei Lyu, Xin Yang, Honggang Qi, Pu Sun, Ming‐Ching Chang, Xin Yang, Junyu Dong, Han Chen, Jing Hu and Xin Wang. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Circuits and Systems for Video Technology.
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.