Pin‐Yu Chen
Impact in
- Artificial Intelligence top 0.2%
- Adversarial Robustness in Machine Learning
- Anomaly Detection Techniques and Applications
- Advanced Graph Neural Networks
- Privacy-Preserving Technologies in Data
- Signal Processing top 0.5%
- Advanced Malware Detection Techniques
Papers in
-
- Adversarial Robustness in Machine Learning 78
- Anomaly Detection Techniques and Applications 34
- Domain Adaptation and Few-Shot Learning 24
- Advanced Graph Neural Networks 17
- Privacy-Preserving Technologies in Data 16
-
- Complex Network Analysis Techniques 30
- Opinion Dynamics and Social Influence 17
- Co-authors
- Jinfeng Yi (8 shared papers)Cho‐Jui Hsieh (19 shared papers)Yash Sharma (3 shared papers)Huan Zhang (4 shared papers)Cheng Shin-Ming (20 shared papers)Kwang‐Cheng Chen (17 shared papers)Alfred O. Hero (18 shared papers)Sijia Liu (31 shared papers)
- Journals
- IEEE Communications Magazine (5 papers)IEEE Transactions on Signal Processing (5 papers)IEEE Access (4 papers)IEEE Internet of Things Journal (4 papers)IEEE Communications Letters (3 papers)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Pin‐Yu Chen
253 papers receiving 6.2k citations
Pin‐Yu Chen's Hit Papers
Peers
Comparison fields: 5 of 179
- Artificial Intelligence 4.2k
- Signal Processing 923
- Computer Vision and Pattern Recognition 1.1k
- Statistical and Nonlinear Physics 533
- Computer Networks and Communications 981
Countries citing papers authored by Pin‐Yu Chen
This map shows the geographic impact of Pin‐Yu Chen'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 Pin‐Yu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pin‐Yu Chen more than expected).
Fields of papers citing papers by Pin‐Yu Chen
This network shows the impact of papers produced by Pin‐Yu Chen. 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 Pin‐Yu Chen. The network helps show where Pin‐Yu Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Pin‐Yu Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 275 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | ZOO Hit paper breakdown → | 2017 | 1080 |
| 2 | EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples Hit paper breakdown → | 2018 | 350 |
| 3 | 2019 | 229 | |
| 4 | 2019 | 221 | |
| 5 | 2020 | 209 | |
| 6 | 2018 | 197 | |
| 7 | DBA: Distributed Backdoor Attacks against Federated Learning | 2020 | 184 |
| 8 | 2012 | 179 | |
| 9 | 2022 | 150 | |
| 10 | 2020 | 114 | |
| 11 | 2020 | 110 | |
| 12 | 2020 | 106 | |
| 13 | 2017 | 88 | |
| 14 | 2010 | 88 | |
| 15 | 2019 | 82 | |
| 16 | 2014 | 81 | |
| 17 | 2018 | 77 | |
| 18 | 2012 | 76 | |
| 19 | 2020 | 72 | |
| 20 | 2014 | 71 |
About Pin‐Yu Chen
Pin‐Yu Chen is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition, Computer Networks and Communications and Signal Processing, having authored 275 papers that have together received 6.4k indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (78 papers), Anomaly Detection Techniques and Applications (34 papers), Complex Network Analysis Techniques (30 papers), Domain Adaptation and Few-Shot Learning (24 papers), Advanced Neural Network Applications (20 papers), Opinion Dynamics and Social Influence (17 papers), Advanced Graph Neural Networks (17 papers) and Privacy-Preserving Technologies in Data (16 papers). The work is most often cited by research in Artificial Intelligence (4.2k citations), Signal Processing (923 citations), Computer Vision and Pattern Recognition (1.1k citations), Statistical and Nonlinear Physics (533 citations) and Computer Networks and Communications (981 citations). Pin‐Yu Chen has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Jinfeng Yi, Cho‐Jui Hsieh, Yash Sharma, Huan Zhang, Cheng Shin-Ming, Kwang‐Cheng Chen, Alfred O. Hero, Sijia Liu, Huan Zhang and Hongge Chen. Their work appears in journals such as IEEE Communications Magazine, IEEE Transactions on Signal Processing, IEEE Access, IEEE Internet of Things Journal and IEEE Communications Letters.
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.