Chengyu Song

2.5k citations
56 papers · 1.3k indexed · h-index 21
Topics
Advanced Malware Detection Techniques (28 papers)Security and Verification in Computing (25 papers)Software Testing and Debugging Techniques (10 papers)

In The Last Decade

Chengyu Song

53 papers receiving 1.3k citations

Peers

Chengyu Song
Comparison fields: 5 of 56
  • Artificial Intelligence 954
  • Signal Processing 820
  • Computer Networks and Communications 429
  • Information Systems 397
  • Hardware and Architecture 255
Replace Yeongjin Jang with:
Yeongjin Jang United States
Hamed Okhravi United States
Kaveh Razavi Netherlands
Sangho Lee United States
Deian Stefan United States
Kapil Vaswani India
Andrew Baumann United States
Aravind Machiry United States
Mark Russinovich United States
Mario Polino Italy
Chengyu Song relative to Yeongjin Jang United States Yeongjin Jang's profile →
Citations per field
00.5×1.5×2.2×
Yeongjin Jang · 1×
Citations per year

Countries citing papers authored by Chengyu Song

Since Specialization
Citations

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

Fields of papers citing papers by Chengyu Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengyu Song

This figure shows the co-authorship network connecting the top 25 collaborators of Chengyu Song. A scholar is included among the top collaborators of Chengyu Song 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 Chengyu Song. Chengyu Song 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 7
3 3
4 0
5 1
6 0
7 3
8 4
9 2
10 2
11
Be Sensitive and Collaborative: Analyzing Impact of Coverage Metrics in Greybox Fuzzing.
26
12
FIRM-AFL: High-Throughput Greybox Fuzzing of IoT Firmware via Augmented Process Emulation
88
13
IotSan fortifying the safety of IoT systems
7
14
Detecting Android Root Exploits by Learning from Root Providers
13
15
Type casting verification: stopping an emerging attack vector
28
16 4
17 51
18
Mimesis aegis: a mimicry privacy shield a system's approach to data privacy on public cloud
30
19
Impeding automated malware analysis with environment-sensitive malware
12
20
HoneyBow: an automated malware collection tool based on the high-interaction honeypot principle
6

About Chengyu Song

Chengyu Song is a scholar working on Software, Signal Processing and Artificial Intelligence, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (28 papers), Security and Verification in Computing (25 papers) and Software Testing and Debugging Techniques (10 papers). The work is most often cited by research in Signal Processing (820 citations), Software (238 citations) and Hardware and Architecture (255 citations). Chengyu Song has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Wenke Lee, Taesoo Kim, Byoungyoung Lee, Kangjie Lu, Heng Yin, Yeongjin Jang, Simon P. Chung, Srikanth V. Krishnamurthy, Tielei Wang and Zhiyun Qian. Their work appears in journals such as ACM Computing Surveys, Frontiers in Human Neuroscience and Information Processing & Management.

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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