Xiaolu Hou
Impact in
- Hardware and Architecture top 5%
- Physical Unclonable Functions (PUFs) and Hardware Security
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
-
- Cryptographic Implementations and Security 16
- Coding theory and cryptography 8
- Adversarial Robustness in Machine Learning 4
- Security and Verification in Computing 4
-
- Advanced Malware Detection Techniques 11
- Co-authors
- Jakub Breier (21 shared papers)Yang Liu (9 shared papers)Shivam Bhasin (11 shared papers)Dirmanto Jap (7 shared papers)Лей Ма (1 shared paper)Frédérique Oggier (3 shared papers)Lei Ma (2 shared papers)Romain Poussier (3 shared papers)
In The Last Decade
Xiaolu Hou
31 papers receiving 300 citations
Peers
Comparison fields: 5 of 54
- Hardware and Architecture 123
- Signal Processing 83
- Artificial Intelligence 238
- Software 11
- Computer Vision and Pattern Recognition 58
Countries citing papers authored by Xiaolu Hou
This map shows the geographic impact of Xiaolu Hou'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 Xiaolu Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolu Hou more than expected).
Fields of papers citing papers by Xiaolu Hou
This network shows the impact of papers produced by Xiaolu Hou. 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 Xiaolu Hou. The network helps show where Xiaolu Hou may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolu Hou, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 78 | |
| 2 | 2022 | 42 | |
| 3 | 2021 | 29 | |
| 4 | 2018 | 14 | |
| 5 | 2023 | 13 | |
| 6 | 2020 | 13 | |
| 7 | 2019 | 12 | |
| 8 | 2019 | 11 | |
| 9 | 2016 | 10 | |
| 10 | 2019 | 10 | |
| 11 | 2019 | 9 | |
| 12 | 2021 | 9 | |
| 13 | 2022 | 7 | |
| 14 | 2018 | 7 | |
| 15 | 2019 | 6 | |
| 16 | 2012 | 6 | |
| 17 | 2019 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2017 | 4 | |
| 20 | 2014 | 4 |
About Xiaolu Hou
Xiaolu Hou is a scholar working on Artificial Intelligence, Signal Processing, Hardware and Architecture, Computer Vision and Pattern Recognition and Molecular Biology, having authored 35 papers that have together received 312 indexed citations. Recurring topics across this work include Cryptographic Implementations and Security (16 papers), Advanced Malware Detection Techniques (11 papers), Coding theory and cryptography (8 papers), Physical Unclonable Functions (PUFs) and Hardware Security (8 papers), Chaos-based Image/Signal Encryption (7 papers), Adversarial Robustness in Machine Learning (4 papers), Security and Verification in Computing (4 papers) and Algebraic and Geometric Analysis (3 papers). The work is most often cited by research in Hardware and Architecture (123 citations), Signal Processing (83 citations), Artificial Intelligence (238 citations), Software (11 citations) and Computer Vision and Pattern Recognition (58 citations). Xiaolu Hou has collaborated with scholars based in Singapore, Slovakia and Austria. Frequent co-authors include Jakub Breier, Yang Liu, Shivam Bhasin, Dirmanto Jap, Лей Ма, Frédérique Oggier, Lei Ma, Romain Poussier, Siang Meng Sim and Martín Ochoa. Their work appears in journals such as IACR Transactions on Cryptographic Hardware and Embedded Systems, IEEE Transactions on Information Forensics and Security, Journal of King Saud University - Science, Comptes Rendus Mathématique and IEEE Access.
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.