Fangfei Liu

1.9k citations
14 papers · 1.1k indexed · 2 hit papers · h-index 9
Topics
Security and Verification in Computing (10 papers)Cryptographic Implementations and Security (5 papers)Advanced Memory and Neural Computing (4 papers)

In The Last Decade

Fangfei Liu

13 papers receiving 1.1k citations

Hit Papers

Last-Level Cache Side-Channel Attacks are Practical201520262018202220152016100200300400500

Peers

Fangfei Liu
Comparison fields: 5 of 37
  • Artificial Intelligence 1.1k
  • Signal Processing 499
  • Hardware and Architecture 398
  • Electrical and Electronic Engineering 314
  • Computer Networks and Communications 288
Replace Ben Gras with:
Ben Gras Netherlands
Thomas Prescher Austria
Marina Minkin United States
Jason D. Hiser United States
Dmitry Evtyushkin United States
Andrea Bittau United States
Anders Fogh Austria
Ralf Hund Germany
John Criswell United States
John Demme United States
Fangfei Liu relative to Ben Gras Netherlands Ben Gras's profile →
Citations per field
00.5×1.5×2.0×
Ben Gras · 1×
Citations per year

Countries citing papers authored by Fangfei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Fangfei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangfei Liu

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 5
2 0
3 3
4 14
5 20
6
CATalyst: Defeating last-level cache side channel attacks in cloud computingbreakdown →
233
7 70
8 3
9 8
10
Last-Level Cache Side-Channel Attacks are Practicalbreakdown →
599
11 2
12 143
13 16
14 24

About Fangfei Liu

Fangfei Liu is a scholar working on Artificial Intelligence, Signal Processing and Information Systems, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Security and Verification in Computing (10 papers), Cryptographic Implementations and Security (5 papers) and Advanced Memory and Neural Computing (4 papers). The work is most often cited by research in Hardware and Architecture (398 citations), Signal Processing (499 citations) and Artificial Intelligence (1.1k citations). Fangfei Liu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Ruby B. Lee, Yuval Yarom, Qian Ge, Gernot Heiser, Carlos Rozas, Ken Mai, Tianwei Zhang, Haibo Chen, Yinqian Zhang and Xiaofeng Wang. Their work appears in journals such as IEEE Micro, International Journal of Computational Intelligence Systems and IEEE Computer Architecture Letters.

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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