Chenyuan Yang
Impact in
- Software top 2%
- Software Testing and Debugging Techniques
- Software Reliability and Analysis Research
- Signal Processing top 10%
- Advanced Malware Detection Techniques
Papers in
- Software 7
- Software Testing and Debugging Techniques 7
-
- Adversarial Robustness in Machine Learning 4
- Topic Modeling 2
- Logic, programming, and type systems 1
- Co-authors
- Yinlin Deng (6 shared papers)Lingming Zhang (7 shared papers)Chunqiu Steven Xia (2 shared papers)Jiawei Liu (1 shared paper)Reyhaneh Jabbarvand (1 shared paper)Lei Ma (1 shared paper)Chris Hawblitzel (1 shared paper)Weidong Cui (1 shared paper)
- Journals
- Proceedings of the ACM on Programming Languages (2 papers)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Chenyuan Yang
9 papers receiving 291 citations
Chenyuan Yang's Hit Papers
Peers
Comparison fields: 5 of 32
- Software 169
- Signal Processing 64
- Information Systems 120
- Artificial Intelligence 124
- Hardware and Architecture 21
Countries citing papers authored by Chenyuan Yang
This map shows the geographic impact of Chenyuan Yang'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 Chenyuan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenyuan Yang more than expected).
Fields of papers citing papers by Chenyuan Yang
This network shows the impact of papers produced by Chenyuan Yang. 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 Chenyuan Yang. The network helps show where Chenyuan Yang may publish in the future.
Co-authors
The 16 scholars most cited alongside Chenyuan Yang, 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 | Large Language Models Are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models Hit paper breakdown → | 2023 | 126 |
| 2 | 2022 | 49 | |
| 3 | 2022 | 39 | |
| 4 | 2024 | 35 | |
| 5 | 2024 | 26 | |
| 6 | 2023 | 12 | |
| 7 | 2025 | 4 | |
| 8 | 2025 | 3 | |
| 9 | 2025 | 1 |
About Chenyuan Yang
Chenyuan Yang is a scholar working on Software, Artificial Intelligence, Information Systems, Signal Processing and Computer Networks and Communications, having authored 9 papers that have together received 295 indexed citations. Recurring topics across this work include Software Testing and Debugging Techniques (7 papers), Software Engineering Research (4 papers), Adversarial Robustness in Machine Learning (4 papers), Advanced Malware Detection Techniques (3 papers), Topic Modeling (2 papers), Plant Surface Properties and Treatments (1 paper), Logic, programming, and type systems (1 paper) and Software System Performance and Reliability (1 paper). The work is most often cited by research in Software (169 citations), Signal Processing (64 citations), Information Systems (120 citations), Artificial Intelligence (124 citations) and Hardware and Architecture (21 citations). Chenyuan Yang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Yinlin Deng, Lingming Zhang, Chunqiu Steven Xia, Jiawei Liu, Reyhaneh Jabbarvand, Lei Ma, Chris Hawblitzel, Weidong Cui, Shuvendu K. Lahiri and Shan Lu. Their work appears in journals such as Proceedings of the ACM on Programming Languages and Zenodo (CERN European Organization for Nuclear Research).
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.