Chengyu Song
- Signal Processing top 0.5%
- Advanced Malware Detection Techniques 28
- Software top 2%
- Software Testing and Debugging Techniques 10
- Hardware and Architecture top 2%
- Artificial Intelligence top 1%
- Security and Verification in Computing 25
- Internet Traffic Analysis and Secure E-voting 7
- Adversarial Robustness in Machine Learning 4
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- Network Security and Intrusion Detection 7
- Distributed systems and fault tolerance 4
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- Software Engineering Research 6
- Co-authors
- Wenke LeeTaesoo KimByoungyoung LeeKangjie LuHeng YinYeongjin JangSimon P. ChungSrikanth V. Krishnamurthy
- Journals
- ACM Computing Surveys (1 paper)Frontiers in Human Neuroscience (1 paper)Information Processing & Management (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Chengyu Song
53 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 56
- Signal Processing 820
- Software 238
- Hardware and Architecture 255
- Artificial Intelligence 954
- Computer Networks and Communications 429
Countries citing papers authored by Chengyu Song
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
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
The 25 scholars most cited alongside Chengyu Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 3 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 2 | |
| 10 | 2022 | 2 | |
| 11 | Be Sensitive and Collaborative: Analyzing Impact of Coverage Metrics in Greybox Fuzzing. | 2019 | 26 |
| 12 | FIRM-AFL: High-Throughput Greybox Fuzzing of IoT Firmware via Augmented Process Emulation | 2019 | 88 |
| 13 | IotSan fortifying the safety of IoT systems | 2018 | 7 |
| 14 | Detecting Android Root Exploits by Learning from Root Providers | 2017 | 13 |
| 15 | Type casting verification: stopping an emerging attack vector | 2015 | 28 |
| 16 | 2015 | 4 | |
| 17 | 2015 | 51 | |
| 18 | Mimesis aegis: a mimicry privacy shield a system's approach to data privacy on public cloud | 2014 | 30 |
| 19 | Impeding automated malware analysis with environment-sensitive malware | 2012 | 12 |
| 20 | HoneyBow: an automated malware collection tool based on the high-interaction honeypot principle | 2007 | 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), Software Testing and Debugging Techniques (10 papers), Internet Traffic Analysis and Secure E-voting (7 papers), Network Security and Intrusion Detection (7 papers), Software Engineering Research (6 papers), Distributed systems and fault tolerance (4 papers) and Adversarial Robustness in Machine Learning (4 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.