Wei‐Han Lee
Impact in
- Signal Processing top 5%
- Advanced Malware Detection Techniques
- Biometric Identification and Security
- Software top 10%
Papers in
-
- Semiconductor materials and devices 9
- Advancements in Semiconductor Devices and Circuit Design 9
-
- User Authentication and Security Systems 6
- Spam and Phishing Detection 2
- Co-authors
- Kin K. Leung (2 shared papers)Shiqiang Wang (3 shared papers)Bong Jun Ko (3 shared papers)Víctor Valls (1 shared paper)Yuang Jiang (1 shared paper)Leandros Tassiulas (1 shared paper)Ruby B. Lee (2 shared papers)Ruby Lee (2 shared papers)
- Journals
- IEEE Transactions on Electron Devices (5 papers)Electrophoresis (1 paper)IEEE Transactions on Dependable and Secure Computing (1 paper)Scientific Reports (1 paper)PLoS ONE (1 paper)
- Partner nations
- TaiwanUnited StatesIndia
In The Last Decade
Wei‐Han Lee
33 papers receiving 730 citations
Wei‐Han Lee's Hit Papers
Peers
Comparison fields: 5 of 73
- Signal Processing 189
- Software 54
- Information Systems 235
- Artificial Intelligence 279
- Human-Computer Interaction 39
Countries citing papers authored by Wei‐Han Lee
This map shows the geographic impact of Wei‐Han Lee'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 Wei‐Han Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei‐Han Lee more than expected).
Fields of papers citing papers by Wei‐Han Lee
This network shows the impact of papers produced by Wei‐Han Lee. 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 Wei‐Han Lee. The network helps show where Wei‐Han Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei‐Han Lee, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Model Pruning Enables Efficient Federated Learning on Edge Devices Hit paper breakdown → | 2022 | 304 |
| 2 | {MOPT}: Optimized Mutation Scheduling for Fuzzers | 2019 | 66 |
| 3 | 2015 | 65 | |
| 4 | 2016 | 49 | |
| 5 | 2017 | 43 | |
| 6 | 2020 | 37 | |
| 7 | 2018 | 26 | |
| 8 | 2011 | 19 | |
| 9 | 2015 | 19 | |
| 10 | 2009 | 16 | |
| 11 | 2016 | 15 | |
| 12 | 2021 | 12 | |
| 13 | 2013 | 9 | |
| 14 | 2017 | 9 | |
| 15 | 2017 | 9 | |
| 16 | 2023 | 6 | |
| 17 | 2011 | 6 | |
| 18 | 2018 | 5 | |
| 19 | 2025 | 4 | |
| 20 | 2018 | 4 |
About Wei‐Han Lee
Wei‐Han Lee is a scholar working on Electrical and Electronic Engineering, Information Systems, Signal Processing, Artificial Intelligence and Biomedical Engineering, having authored 33 papers that have together received 743 indexed citations. Recurring topics across this work include Semiconductor materials and devices (9 papers), Advancements in Semiconductor Devices and Circuit Design (9 papers), Advanced Malware Detection Techniques (6 papers), User Authentication and Security Systems (6 papers), Anomaly Detection Techniques and Applications (3 papers), Privacy-Preserving Technologies in Data (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Spam and Phishing Detection (2 papers). The work is most often cited by research in Signal Processing (189 citations), Software (54 citations), Information Systems (235 citations), Artificial Intelligence (279 citations) and Human-Computer Interaction (39 citations). Wei‐Han Lee has collaborated with scholars based in Taiwan, United States and India. Frequent co-authors include Kin K. Leung, Shiqiang Wang, Bong Jun Ko, Víctor Valls, Yuang Jiang, Leandros Tassiulas, Ruby B. Lee, Ruby Lee, Raheem Beyah and Shouling Ji. Their work appears in journals such as IEEE Transactions on Electron Devices, Electrophoresis, IEEE Transactions on Dependable and Secure Computing, Scientific Reports and PLoS ONE.
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.