Sicong Cao

545 citations
15 papers · 330 indexed · 1 hit paper · h-index 9
Topics
Software Engineering Research (9 papers)Adversarial Robustness in Machine Learning (6 papers)Advanced Malware Detection Techniques (6 papers)
Partner nations
ChinaAustraliaSingapore

In The Last Decade

Sicong Cao

14 papers receiving 320 citations

Hit Papers

BGNN4VD: Constructing Bidirectional Graph Neural-Network ...202120262022202420214080120

Peers

Sicong Cao
Comparison fields: 5 of 27
  • Information Systems 256
  • Signal Processing 181
  • Software 176
  • Artificial Intelligence 103
  • Computer Networks and Communications 74
Replace Aram Hovsepyan with:
Aram Hovsepyan Belgium
Xiaorui Gong China
Qiyi Tang China
Yannic Noller Singapore
Shihan Dou China
Aristide Fattori Italy
Pan Bian China
Simon Holm Jensen Denmark
Philipp von Styp-Rekowsky Germany
Bhargava Shastry Germany
Sicong Cao relative to Aram Hovsepyan Belgium Aram Hovsepyan's profile →
Citations per field
00.5×4.9×
Aram Hovsepyan · 1×
Citations per year

Countries citing papers authored by Sicong Cao

Since Specialization
Citations

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

Fields of papers citing papers by Sicong Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sicong Cao

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 1
2 0
3 1
4 15
5 2
6 1
7 20
8 11
9 14
10 15
11 12
12 68
13 19
14 3
15
BGNN4VD: Constructing Bidirectional Graph Neural-Network for Vulnerability Detectionbreakdown →
148

About Sicong Cao

Sicong Cao is a scholar working on Software, Signal Processing and Information Systems, having authored 15 papers that have together received 330 indexed citations. Recurring topics across this work include Software Engineering Research (9 papers), Adversarial Robustness in Machine Learning (6 papers) and Advanced Malware Detection Techniques (6 papers). The work is most often cited by research in Software (176 citations), Signal Processing (181 citations) and Information Systems (256 citations). Sicong Cao has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Lili Bo, Xiaobing Sun, Bin Li, Weiqin Ying, Rongxin Wu, Bin Li, David Lo, Xin Zhou, Yu Ouyang and Tao Zhang. Their work appears in journals such as ACM Computing Surveys, IEEE Internet of Things Journal and Information and Software Technology.

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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