Xiaokui Shu

926 total citations
24 papers, 530 citations indexed

About

Xiaokui Shu is a scholar working on Computer Networks and Communications, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Xiaokui Shu has authored 24 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 16 papers in Signal Processing and 11 papers in Artificial Intelligence. Recurrent topics in Xiaokui Shu's work include Network Security and Intrusion Detection (15 papers), Advanced Malware Detection Techniques (15 papers) and Software System Performance and Reliability (4 papers). Xiaokui Shu is often cited by papers focused on Network Security and Intrusion Detection (15 papers), Advanced Malware Detection Techniques (15 papers) and Software System Performance and Reliability (4 papers). Xiaokui Shu collaborates with scholars based in United States and United Kingdom. Xiaokui Shu's 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 and has published in prestigious journals such as IEEE Transactions on Information Forensics and Security, Computers & Security and ACM Transactions on Privacy and Security.

In The Last Decade

Xiaokui Shu

23 papers receiving 483 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaokui Shu United States 11 333 318 261 236 57 24 530
Brendan Saltaformaggio United States 14 272 0.8× 373 1.2× 317 1.2× 241 1.0× 70 1.2× 38 548
Fabio Pierazzi United Kingdom 13 366 1.1× 302 0.9× 216 0.8× 248 1.1× 55 1.0× 34 519
André Grégio Brazil 14 508 1.5× 515 1.6× 381 1.5× 248 1.1× 119 2.1× 58 701
Hequn Xian China 12 199 0.6× 142 0.4× 207 0.8× 197 0.8× 28 0.5× 36 401
Abbas Rasoolzadegan Iran 12 207 0.6× 95 0.3× 273 1.0× 164 0.7× 86 1.5× 41 407
Kangkook Jee United States 13 626 1.9× 569 1.8× 414 1.6× 410 1.7× 66 1.2× 25 905
Luyi Xing United States 14 282 0.8× 455 1.4× 457 1.8× 292 1.2× 95 1.7× 31 692
Jethro G. Beekman United States 6 234 0.7× 221 0.7× 289 1.1× 355 1.5× 43 0.8× 8 561
Yongzheng Zhang China 14 443 1.3× 256 0.8× 177 0.7× 469 2.0× 12 0.2× 90 634
Jingzheng Wu China 12 177 0.5× 244 0.8× 253 1.0× 251 1.1× 68 1.2× 39 498

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-authorship network of co-authors of Xiaokui Shu

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

All Works

20 of 20 papers shown
1.
2.
Shu, Xiaokui, et al.. (2023). EdgeTorrent: Real-time Temporal Graph Representations for Intrusion Detection. 77–91. 8 indexed citations
3.
Wang, Meng, et al.. (2023). Debugging Malware Classification Models Based on Event Logs with Explainable AI. 939–948. 1 indexed citations
4.
5.
Zhang, Jialong, Zhongshu Gu, Jiyong Jang, et al.. (2020). Scarecrow: Deactivating Evasive Malware via Its Own Evasive Logic. 76–87. 8 indexed citations
6.
Yao, Danfeng, et al.. (2018). Anomaly Detection as a Service. 9 indexed citations
7.
Shu, Xiaokui, et al.. (2018). Threat Intelligence Computing. 1883–1898. 42 indexed citations
8.
Shu, Xiaokui, Danfeng Yao, Naren Ramakrishnan, & Trent Jaeger. (2017). Long-Span Program Behavior Modeling and Attack Detection. ACM Transactions on Privacy and Security. 20(4). 1–28. 19 indexed citations
9.
Yao, Danfeng, Xiaokui Shu, Long Cheng, & Salvatore J. Stolfo. (2017). Anomaly Detection as a Service: Challenges, Advances, and Opportunities. 9(3). 1–173. 27 indexed citations
10.
Shu, Xiaokui & Danfeng Yao. (2016). Program Anomaly Detection. 1853–1854. 1 indexed citations
11.
Shu, Xiaokui, Nikolay Laptev, & Danfeng Yao. (2016). DECT: Distributed Evolving Context Tree for Mining Web Behavior Evolution. Movebank. 573–579.
12.
Shu, Xiaokui, Jing Zhang, Danfeng Yao, & Wu-chun Feng. (2015). Fast Detection of Transformed Data Leaks. IEEE Transactions on Information Forensics and Security. 11(3). 528–542. 53 indexed citations
13.
Shu, Xiaokui, Danfeng Yao, & Elisa Bertino. (2015). Privacy-Preserving Detection of Sensitive Data Exposure. IEEE Transactions on Information Forensics and Security. 10(5). 1092–1103. 75 indexed citations
14.
Shu, Xiaokui, Jing Zhang, Danfeng Yao, & Wu-chun Feng. (2015). Rapid Screening of Transformed Data Leaks with Efficient Algorithms and Parallel Computing. VTechWorks (Virginia Tech). 147–149. 4 indexed citations
15.
Shu, Xiaokui, Jing Zhang, Danfeng Yao, & Wu-chun Feng. (2015). Rapid and parallel content screening for detecting transformed data exposure. 7. 191–196. 10 indexed citations
16.
Shu, Xiaokui, et al.. (2015). Privacy-Preserving Scanning of Big Content for Sensitive Data Exposure with MapReduce. VTechWorks (Virginia Tech). 195–206. 37 indexed citations
17.
Elish, Karim O., Xiaokui Shu, Danfeng Yao, Barbara G. Ryder, & Xuxian Jiang. (2014). Profiling user-trigger dependence for Android malware detection. Computers & Security. 49. 255–273. 89 indexed citations
18.
Shu, Xiaokui, et al.. (2013). Massive distributed and parallel log analysis for organizational security. 194–199. 16 indexed citations
19.
Shu, Xiaokui & Danfeng Yao. (2012). Data Leak Detection As a Service: Challenges and Solutions. VTechWorks (Virginia Tech). 1 indexed citations
20.
Shu, Xiaokui, et al.. (2010). Natural Language Toolkit (NLTK). VTechWorks (Virginia Tech). 15 indexed citations

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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