Frank Li
Impact in
- Signal Processing top 1%
- Advanced Malware Detection Techniques
- Software top 5%
Papers in
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- Spam and Phishing Detection 12
- User Authentication and Security Systems 8
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- Network Security and Intrusion Detection 9
- Co-authors
- Vern Paxson (10 shared papers)Zakir Durumeric (3 shared papers)Michael Bailey (2 shared papers)Nick Feamster (6 shared papers)J. Alex Halderman (1 shared paper)Jethro G. Beekman (1 shared paper)Mathias Payer (1 shared paper)David Adrian (1 shared paper)
- Journals
- Occupational Ergonomics (1 paper)ACM SIGMETRICS Performance Evaluation Review (1 paper)Journal of Building Engineering (1 paper)Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (1 paper)Advances in Therapy (1 paper)
- Partner nations
- United StatesSwitzerlandBelgium
In The Last Decade
Frank Li
55 papers receiving 1.4k citations
Frank Li's Hit Papers
Peers
Comparison fields: 5 of 112
- Signal Processing 530
- Software 122
- Information Systems 691
- Computer Networks and Communications 600
- Artificial Intelligence 560
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-authors
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
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Matter of Heartbleed Hit paper breakdown → | 2014 | 398 |
| 2 | 2017 | 153 | |
| 3 | 2017 | 107 | |
| 4 | 2020 | 78 | |
| 5 | 2017 | 69 | |
| 6 | 2014 | 57 | |
| 7 | You’ve got vulnerability: Exploring effective vulnerability notifications | 2016 | 53 |
| 8 | Global Measurement of {DNS} Manipulation | 2017 | 46 |
| 9 | 2018 | 46 | |
| 10 | 2017 | 41 | |
| 11 | 2016 | 39 | |
| 12 | 2018 | 36 | |
| 13 | 2022 | 32 | |
| 14 | 2011 | 27 | |
| 15 | 2010 | 25 | |
| 16 | 2007 | 18 | |
| 17 | IoT Inspector | 2020 | 17 |
| 18 | 2020 | 16 | |
| 19 | 2020 | 15 | |
| 20 | 2018 | 15 |
About Frank Li
Frank Li is a scholar working on Information Systems, Computer Networks and Communications, Signal Processing, Artificial Intelligence and Electrical and Electronic Engineering, having authored 63 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (14 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 IPv6, Mobility, Handover, Networks, Security (3 papers). The work is most often cited by research in Signal Processing (530 citations), Software (122 citations), Information Systems (691 citations), Computer Networks and Communications (600 citations) and Artificial Intelligence (560 citations). Frank Li has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Vern Paxson, Zakir Durumeric, Michael Bailey, Nick Feamster, J. Alex Halderman, Jethro G. Beekman, Mathias Payer, David Adrian, Johanna Amann and Kurt Thomas. Their work appears in journals such as Occupational Ergonomics, ACM SIGMETRICS Performance Evaluation Review, Journal of Building Engineering, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and Advances in Therapy.
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.