Xiaokui Shu

942 citations
24 papers · 540 · h-index 11

Impact in

Papers in

Xiaokui Shu

23 papers receiving 494 citations

Peers

Xiaokui Shu
Comparison fields: 5 of 36
  • Signal Processing 321
  • Software 57
  • Computer Networks and Communications 338
  • Information Systems 264
  • Artificial Intelligence 239
Replace Brendan Saltaformaggio with:
Brendan Saltaformaggio United States
Luyi Xing United States
Abbas Rasoolzadegan Iran
Fabio Pierazzi United Kingdom
Jingzheng Wu China
Manuel Leithner Austria
Ilir Gashi United Kingdom
Eric Yuan United States
Paul A. Karger United States
Johanna Amann United States
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Citations per field
00.5×2.9×
Brendan Saltaformaggio · 1×
Citations per year

Countries citing papers authored by Xiaokui Shu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaokui Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaokui Shu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaokui Shu Line = papers co-authored together Xiaokui Shu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201490
2 201576
3 201553
4 201550
5 201146
6 201842
7 201537
8 201729
9 201720
10 201316
11
Natural Language Toolkit (NLTK)
201015
12 201510
13 202210
14 201810
15 20239
16 20209
17 20205
18 20154
19 20243
20
Hadoop Map-reduce
20103

About Xiaokui Shu

Xiaokui Shu is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Hardware and Architecture, having authored 24 papers that have together received 540 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (15 papers), Network Security and Intrusion Detection (15 papers), Software System Performance and Reliability (4 papers), Anomaly Detection Techniques and Applications (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Advanced Data Storage Technologies (3 papers), Digital and Cyber Forensics (3 papers) and Network Packet Processing and Optimization (2 papers). The work is most often cited by research in Signal Processing (321 citations), Software (57 citations), Computer Networks and Communications (338 citations), Information Systems (264 citations) and Artificial Intelligence (239 citations). Xiaokui Shu has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Danfeng Yao, Elisa Bertino, Naren Ramakrishnan, Barbara G. Ryder, Xuxian Jiang, Karim O. Elish, Wu-chun Feng, Deian Stefan, Jing Zhang and Jiyong Jang. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, Computers & Security, ACM Transactions on Privacy and Security, CERN Document Server (European Organization for Nuclear Research) and VTechWorks (Virginia Tech).

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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