Tianyi Wei
Impact in
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- Digital Media Forensic Detection
- Generative Adversarial Networks and Image Synthesis
- Face recognition and analysis
- Advanced Image Processing Techniques
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
- Adversarial Robustness in Machine Learning
- Neural Networks and Reservoir Computing
Papers in
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- Face recognition and analysis 3
- Generative Adversarial Networks and Image Synthesis 3
- Image Enhancement Techniques 3
- Video Analysis and Summarization 2
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- Wireless Signal Modulation Classification 2
- Co-authors
- Wenbo Zhou (6 shared papers)Nenghai Yu (6 shared papers)Weiming Zhang (6 shared papers)Dongdong Chen (5 shared papers)Hanqing Zhao (4 shared papers)Jing Liao (4 shared papers)Zhentao Tan (2 shared papers)Anfeng Liu (2 shared papers)
In The Last Decade
Tianyi Wei
17 papers receiving 734 citations
Tianyi Wei's Hit Papers
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 571
- Artificial Intelligence 241
- Signal Processing 64
- Computer Graphics and Computer-Aided Design 11
- Computer Networks and Communications 44
Countries citing papers authored by Tianyi Wei
This map shows the geographic impact of Tianyi Wei'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 Tianyi Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianyi Wei more than expected).
Fields of papers citing papers by Tianyi Wei
This network shows the impact of papers produced by Tianyi Wei. 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 Tianyi Wei. The network helps show where Tianyi Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Tianyi Wei, 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 | Multi-attentional Deepfake Detection Hit paper breakdown → | 2021 | 537 |
| 2 | 2023 | 61 | |
| 3 | 2022 | 58 | |
| 4 | 2017 | 26 | |
| 5 | 2021 | 12 | |
| 6 | 2019 | 9 | |
| 7 | 2015 | 9 | |
| 8 | 2023 | 8 | |
| 9 | 2016 | 7 | |
| 10 | 2024 | 6 | |
| 11 | 2023 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2022 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2017 | 1 | |
| 17 | 2018 | 1 | |
| 18 | 2024 | 0 | |
| 19 | 2025 | 0 |
About Tianyi Wei
Tianyi Wei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering and Signal Processing, having authored 19 papers that have together received 748 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (3 papers), Face recognition and analysis (3 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Image Enhancement Techniques (3 papers), Wireless Signal Modulation Classification (2 papers), Biometric Identification and Security (2 papers), Video Analysis and Summarization (2 papers) and Radar Systems and Signal Processing (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (571 citations), Artificial Intelligence (241 citations), Signal Processing (64 citations), Computer Graphics and Computer-Aided Design (11 citations) and Computer Networks and Communications (44 citations). Tianyi Wei has collaborated with scholars based in China, Germany and Hong Kong. Frequent co-authors include Wenbo Zhou, Nenghai Yu, Weiming Zhang, Dongdong Chen, Hanqing Zhao, Jing Liao, Zhentao Tan, Anfeng Liu, Oscar Lee and Naoya Kanazawa. Their work appears in journals such as Frontiers in Microbiology, Journal of Clinical Medicine, Electronics, IEEE Transactions on Pattern Analysis and Machine Intelligence and ACM Transactions on Embedded Computing Systems.
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.