Frank Li
- Signal Processing top 1%
- Advanced Malware Detection Techniques 13
- Software top 5%
- Information Systems top 1%
- Spam and Phishing Detection 12
- User Authentication and Security Systems 8
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- Network Security and Intrusion Detection 9
- Artificial Intelligence top 2%
- Internet Traffic Analysis and Secure E-voting 10
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- Privacy, Security, and Data Protection 6
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- Advanced Memory and Neural Computing 3
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- Physical Unclonable Functions (PUFs) and Hardware Security 3
Frank Li
53 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Signal Processing 520
- Software 120
- Information Systems 677
- Computer Networks and Communications 594
- Artificial Intelligence 554
Countries citing papers authored by Frank Li
This map shows the geographic impact of Frank Li'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 Frank Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Li more than expected).
Fields of papers citing papers by Frank Li
This network shows the impact of papers produced by Frank Li. 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 Frank Li. The network helps show where Frank Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Frank Li, 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 | 2025 | 0 | |
| 3 | 2025 | 6 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 7 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 4 | |
| 13 | Deep Entity Classification: Abusive Account Detection for Online Social Networks | 2021 | 10 |
| 14 | IoT Inspector | 2020 | 17 |
| 15 | 2020 | 9 | |
| 16 | 2020 | 14 | |
| 17 | Keepers of the Machines: Examining How System Administrators Manage Software Updates For Multiple Machines | 2019 | 9 |
| 18 | 2017 | 40 | |
| 19 | Global Measurement of {DNS} Manipulation | 2017 | 46 |
| 20 | You’ve got vulnerability: Exploring effective vulnerability notifications | 2016 | 53 |
About Frank Li
Frank Li is a scholar working on Signal Processing, Information Systems, Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence, having authored 60 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (13 papers), Spam and Phishing Detection (12 papers), Internet Traffic Analysis and Secure E-voting (10 papers), Network Security and Intrusion Detection (9 papers), User Authentication and Security Systems (8 papers), Privacy, Security, and Data Protection (6 papers), Advanced Memory and Neural Computing (3 papers) and Physical Unclonable Functions (PUFs) and Hardware Security (3 papers). The work is most often cited by research in Signal Processing (520 citations), Software (120 citations), Information Systems (677 citations), Computer Networks and Communications (594 citations) and Artificial Intelligence (554 citations). Frank Li has collaborated with scholars based in United States, Belgium and Kuwait. Frequent co-authors include Vern Paxson, Zakir Durumeric, Michael Bailey, Nick Feamster, J. Alex Halderman, Mathias Payer, Johanna Amann, Jethro G. Beekman, David Adrian and Kurt Thomas. Their work appears in journals such as Electronics, IEEE Security & Privacy, Journal of Building Engineering, European Spine Journal and Bell Labs Technical Journal.
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.