Ruigang Liang

504 citations
21 papers · 200 indexed · h-index 7
Topics
Adversarial Robustness in Machine Learning (7 papers)Software Engineering Research (6 papers)Software Testing and Debugging Techniques (6 papers)
Partner nations
ChinaUnited States

In The Last Decade

Ruigang Liang

17 papers receiving 193 citations

Peers

Ruigang Liang
Comparison fields: 5 of 37
  • Artificial Intelligence 124
  • Signal Processing 60
  • Computer Vision and Pattern Recognition 53
  • Information Systems 43
  • Software 40
Replace Jiyuan Sun with:
Jiyuan Sun China
Sebastian Gerling Germany
Junda He Singapore
Yi-Qi Hu China
Shi Wu China
Chenyang Lyu China
Erick Bauman United States
Jared D. DeMott United States
Ahoud Alhazmi Australia
Luca Demetrio Italy
Ruigang Liang relative to Jiyuan Sun China Jiyuan Sun's profile →
Citations per field
00.5×1.5×
Jiyuan Sun · 1×
Citations per year

Countries citing papers authored by Ruigang Liang

Since Specialization
Citations

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

Fields of papers citing papers by Ruigang Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruigang Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruigang Liang. A scholar is included among the top collaborators of Ruigang Liang 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 Ruigang Liang. Ruigang Liang 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 0
2 0
3 4
4 2
5 3
6 1
7 1
8 6
9 26
10 8
11 7
12 4
13
FuzzGuard: Filtering out Unreachable Inputs in Directed Grey-box Fuzzing through Deep Learning.
33
14 92
15 0
16 2
17 2
18
Practical Adversarial Attack Against Object Detector.
6
19 2
20 1

About Ruigang Liang

Ruigang Liang is a scholar working on Software, Signal Processing and Computer Science Applications, having authored 21 papers that have together received 200 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (7 papers), Software Engineering Research (6 papers) and Software Testing and Debugging Techniques (6 papers). The work is most often cited by research in Software (40 citations), Signal Processing (60 citations) and Artificial Intelligence (124 citations). Ruigang Liang has collaborated with scholars based in China and United States. Frequent co-authors include Kai Chen, Shengzhi Zhang, Yue Zhao, Hong Zhu, Yingjiu Li, Ying Cao, Xiang Chen, Jiachen Zhou, Kai Chen and Jing Li. Their work appears in journals such as IEEE Transactions on Dependable and Secure Computing, Cybersecurity and USENIX Security Symposium.

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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