Kaichen Yang
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
- Hardware and Architecture top 10%
- Physical Unclonable Functions (PUFs) and Hardware Security
Papers in
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- Physical Unclonable Functions (PUFs) and Hardware Security 6
- Parallel Computing and Optimization Techniques 2
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- Advanced Malware Detection Techniques 6
- Journals
- IEEE Transactions on Circuits and Systems I Regular Papers (1 paper)Electronics (1 paper)SN Computer Science (1 paper)Digital Commons - Michigan Tech (Michigan Technological University) (2 papers)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Kaichen Yang
14 papers receiving 358 citations
Peers
Comparison fields: 5 of 44
- Signal Processing 120
- Hardware and Architecture 67
- Artificial Intelligence 304
- Computer Networks and Communications 91
- Instrumentation 13
Countries citing papers authored by Kaichen Yang
This map shows the geographic impact of Kaichen Yang'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 Kaichen Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaichen Yang more than expected).
Fields of papers citing papers by Kaichen Yang
This network shows the impact of papers produced by Kaichen Yang. 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 Kaichen Yang. The network helps show where Kaichen Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kaichen Yang, 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 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 10 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 11 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 18 | |
| 10 | 2020 | 75 | |
| 11 | 2020 | 18 | |
| 12 | 2020 | 83 | |
| 13 | 2020 | 72 | |
| 14 | 2018 | 68 | |
| 15 | 2015 | 1 | |
| 16 | 2014 | 1 |
About Kaichen Yang
Kaichen Yang is a scholar working on Hardware and Architecture, Signal Processing, Artificial Intelligence, Instrumentation and Computer Vision and Pattern Recognition, having authored 16 papers that have together received 365 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (7 papers), Physical Unclonable Functions (PUFs) and Hardware Security (6 papers), Advanced Malware Detection Techniques (6 papers), Cryptographic Implementations and Security (3 papers), Anomaly Detection Techniques and Applications (3 papers), Cryptography and Data Security (2 papers), Advanced Neural Network Applications (2 papers) and Parallel Computing and Optimization Techniques (2 papers). The work is most often cited by research in Signal Processing (120 citations), Hardware and Architecture (67 citations), Artificial Intelligence (304 citations), Computer Networks and Communications (91 citations) and Instrumentation (13 citations). Kaichen Yang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Yier Jin, Tsung-Yi Ho, Honggang Yu, Chi Zhang, Jianqing Liu, Yuguang Fang, Haocheng Ma, Yiqiang Zhao, Teng Zhang and Raj Gautam Dutta. Their work appears in journals such as IEEE Transactions on Circuits and Systems I Regular Papers, Electronics, SN Computer Science, Digital Commons - Michigan Tech (Michigan Technological University) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.