Lichao Wu

740 total citations
21 papers, 328 citations indexed

About

Lichao Wu is a scholar working on Artificial Intelligence, Hardware and Architecture and Signal Processing. According to data from OpenAlex, Lichao Wu has authored 21 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 11 papers in Hardware and Architecture and 10 papers in Signal Processing. Recurrent topics in Lichao Wu's work include Cryptographic Implementations and Security (15 papers), Physical Unclonable Functions (PUFs) and Hardware Security (10 papers) and Advanced Malware Detection Techniques (10 papers). Lichao Wu is often cited by papers focused on Cryptographic Implementations and Security (15 papers), Physical Unclonable Functions (PUFs) and Hardware Security (10 papers) and Advanced Malware Detection Techniques (10 papers). Lichao Wu collaborates with scholars based in Netherlands, Germany and China. Lichao Wu's co-authors include Stjepan Picek, Guilherme Perin, Lejla Batina, Luca Mariot, Wei Wu, Chunyan Yan, Nele Mentens, Yuan Yuan, Shivam Bhasin and Dirmanto Jap and has published in prestigious journals such as Applied Energy, ACM Computing Surveys and IEEE Transactions on Information Forensics and Security.

In The Last Decade

Lichao Wu

19 papers receiving 317 citations

Peers

Lichao Wu
Honggang Yu United States
Li Meng China
Mohammad Samragh United States
Thierry Tambe United States
Utsav Banerjee United States
Irwin O. Kennedy United Kingdom
Aurko Roy United States
Honggang Yu United States
Lichao Wu
Citations per year, relative to Lichao Wu Lichao Wu (= 1×) peers Honggang Yu

Countries citing papers authored by Lichao Wu

Since Specialization
Citations

This map shows the geographic impact of Lichao Wu'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 Lichao Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lichao Wu more than expected).

Fields of papers citing papers by Lichao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lichao Wu. 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 Lichao Wu. The network helps show where Lichao Wu may publish in the future.

Co-authorship network of co-authors of Lichao Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Lichao Wu. A scholar is included among the top collaborators of Lichao Wu 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 Lichao Wu. Lichao Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wu, Lichao, et al.. (2025). HFL: Hardware Fuzzing Loop with Reinforcement Learning. Bristol Research (University of Bristol). 1–7.
2.
Wu, Lichao, et al.. (2024). Shift-Invariance Robustness of Convolutional Neural Networks in Side-Channel Analysis. Mathematics. 12(20). 3279–3279. 1 indexed citations
3.
Wu, Lichao, et al.. (2024). Plaintext-based Side-channel Collision Attack. Bristol Research (University of Bristol).
4.
Wu, Lichao, et al.. (2024). Leakage Model-flexible Deep Learning-based Side-channel Analysis. Bristol Research (University of Bristol). 3 indexed citations
5.
Wu, Lichao, Guilherme Perin, & Stjepan Picek. (2024). Weakly Profiling Side-channel Analysis. IACR Transactions on Cryptographic Hardware and Embedded Systems. 2024(3). 707–730. 1 indexed citations
6.
Akbar, Muhammad, Lichao Wu, Xunying Wang, et al.. (2024). 400 °C operable SOFCs based on ceria electrolyte for powering wireless sensor in internet of things. Applied Energy. 378. 124916–124916. 3 indexed citations
7.
Wu, Lichao, et al.. (2023). Label Correlation in Deep Learning-Based Side-Channel Analysis. IEEE Transactions on Information Forensics and Security. 18. 3849–3861. 7 indexed citations
8.
Wu, Lichao, et al.. (2023). Ablation Analysis for Multi-Device Deep Learning-Based Physical Side-Channel Analysis. IEEE Transactions on Dependable and Secure Computing. 21(3). 1331–1341. 6 indexed citations
9.
Perin, Guilherme, Lichao Wu, & Stjepan Picek. (2023). The Need for Speed: A Fast Guessing Entropy Calculation for Deep Learning-Based SCA. Algorithms. 16(3). 127–127. 2 indexed citations
10.
Wu, Lichao, et al.. (2023). AutoPOI: automated points of interest selection for side-channel analysis. Journal of Cryptographic Engineering. 14(3). 463–474. 2 indexed citations
11.
Wu, Lichao, et al.. (2023). NASCTY: Neuroevolution to Attack Side-Channel Leakages Yielding Convolutional Neural Networks. Mathematics. 11(12). 2616–2616. 1 indexed citations
12.
Wu, Lichao, et al.. (2023). No (good) loss no gain: systematic evaluation of loss functions in deep learning-based side-channel analysis. Journal of Cryptographic Engineering. 13(3). 311–324. 12 indexed citations
13.
Wu, Lichao, Guilherme Perin, & Stjepan Picek. (2022). I Choose You: Automated Hyperparameter Tuning for Deep Learning-Based Side-Channel Analysis. IEEE Transactions on Emerging Topics in Computing. 12(2). 546–557. 56 indexed citations
14.
Picek, Stjepan, Guilherme Perin, Luca Mariot, Lichao Wu, & Lejla Batina. (2022). SoK: Deep Learning-based Physical Side-channel Analysis. ACM Computing Surveys. 55(11). 1–35. 57 indexed citations
15.
Wu, Lichao, Guilherme Perin, & Stjepan Picek. (2022). The Best of Two Worlds: Deep Learning-assisted Template Attack. IACR Transactions on Cryptographic Hardware and Embedded Systems. 413–437. 27 indexed citations
16.
Perin, Guilherme, Lichao Wu, & Stjepan Picek. (2022). Exploring Feature Selection Scenarios for Deep Learning-based Side-channel Analysis. IACR Transactions on Cryptographic Hardware and Embedded Systems. 828–861. 31 indexed citations
17.
Wu, Lichao, et al.. (2021). Reinforcement Learning for Hyperparameter Tuning in Deep Learning-based Side-channel Analysis. IACR Transactions on Cryptographic Hardware and Embedded Systems. 677–707. 74 indexed citations
18.
Wu, Lichao & Stjepan Picek. (2020). Remove Some Noise: On Pre-processing of Side-channel Measurements with Autoencoders. IACR Transactions on Cryptographic Hardware and Embedded Systems. 389–415. 38 indexed citations
19.
Yan, Chunyan, et al.. (2019). Prediction of HAZ width in submerged arc welding of mild steel. IOP Conference Series Earth and Environmental Science. 252. 22078–22078. 3 indexed citations
20.
Yan, Chunyan, et al.. (2018). Numerical simulation of temperature field in multiple-wire submerged arc welding of X80 pipeline steel. IOP Conference Series Earth and Environmental Science. 108. 22048–22048. 2 indexed citations

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.

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