Zhongshu Gu

1.5k citations
25 papers · 880 indexed · 1 hit paper · h-index 14
Topics
Security and Verification in Computing (15 papers)Advanced Malware Detection Techniques (14 papers)Network Security and Intrusion Detection (6 papers)

In The Last Decade

Zhongshu Gu

24 papers receiving 847 citations

Hit Papers

Protecting Intellectual Property of Deep Neural Networks ...2018202620202023201850100150200250

Peers

Zhongshu Gu
Comparison fields: 5 of 47
  • Artificial Intelligence 569
  • Signal Processing 337
  • Computer Networks and Communications 325
  • Information Systems 317
  • Computer Vision and Pattern Recognition 194
Replace Nicola Tonellotto with:
Nicola Tonellotto Italy
Vipin Swarup United States
Marc Ph. Stoecklin United States
Jiahai Yang China
Nuno Santos Portugal
Dionysios Logothetis United States
Andrea Pugliese Italy
Ariel J. Feldman United States
Yousra Aafer United States
Mohamad Fadli Zolkipli Malaysia
Zhongshu Gu relative to Nicola Tonellotto Italy Nicola Tonellotto's profile →
Citations per field
00.5×1.5×2.2×
Nicola Tonellotto · 1×
Citations per year

Countries citing papers authored by Zhongshu Gu

Since Specialization
Citations

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

Fields of papers citing papers by Zhongshu Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhongshu Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhongshu Gu. A scholar is included among the top collaborators of Zhongshu Gu 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 Zhongshu Gu. Zhongshu Gu 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
#WorkIndexed citations
1 6
2 0
3 28
4 8
5 6
6 36
7
Security namespace: making Linux security frameworks available to containers
21
8 2
9
YerbaBuena: Securing Deep Learning Inference Data via Enclave-based Ternary Model Partitioning
9
10 53
11 2
12
Protecting Intellectual Property of Deep Neural Networks with Watermarkingbreakdown →
277
13 96
14 3
15 77
16 22
17 25
18
DSCRETE: automatic rendering of forensic information from memory images via application logic reuse
16
19 21
20
Process implanting: a new active introspection framework for virtualization
4

About Zhongshu Gu

Zhongshu Gu is a scholar working on Signal Processing, Artificial Intelligence and Information Systems, having authored 25 papers that have together received 880 indexed citations. Recurring topics across this work include Security and Verification in Computing (15 papers), Advanced Malware Detection Techniques (14 papers) and Network Security and Intrusion Detection (6 papers). The work is most often cited by research in Signal Processing (337 citations), Artificial Intelligence (569 citations) and Computer Networks and Communications (325 citations). Zhongshu Gu has collaborated with scholars based in United States, Switzerland and South Korea. Frequent co-authors include Dongyan Xu, Xiangyu Zhang, Heqing Huang, Jialong Zhang, Marc Ph. Stoecklin, Jiyong Jang, Ian Molloy, Hui Wu, Xing Gao and Dimitrios Pendarakis. Their work appears in journals such as ACM Computing Surveys, Computers & Security and IEEE Transactions on Dependable and Secure Computing.

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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