Yinlin Deng

727 total citations · 1 hit paper
8 papers, 325 citations indexed

About

Yinlin Deng is a scholar working on Software, Information Systems and Artificial Intelligence. According to data from OpenAlex, Yinlin Deng has authored 8 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Software, 4 papers in Information Systems and 4 papers in Artificial Intelligence. Recurrent topics in Yinlin Deng's work include Software Testing and Debugging Techniques (8 papers), Software Engineering Research (4 papers) and Adversarial Robustness in Machine Learning (3 papers). Yinlin Deng is often cited by papers focused on Software Testing and Debugging Techniques (8 papers), Software Engineering Research (4 papers) and Adversarial Robustness in Machine Learning (3 papers). Yinlin Deng collaborates with scholars based in United States and China. Yinlin Deng's co-authors include Chenyuan Yang, Lingming Zhang, Chunqiu Steven Xia, Jiawei Liu, Yuxiang Wei, Reyhaneh Jabbarvand and S.M. Dunn and has published in prestigious journals such as Proceedings of the ACM on Programming Languages, Zenodo (CERN European Organization for Nuclear Research) and Proceedings of the ACM on software engineering..

In The Last Decade

Yinlin Deng

8 papers receiving 320 citations

Hit Papers

Large Language Models Are Zero-Shot Fuzzers: Fuzzing Deep... 2023 2026 2024 2025 2023 40 80 120

Peers

Yinlin Deng
Chenyuan Yang United States
Hila Peleg Israel
Dongliang Mu United States
Hong Jin Kang Singapore
Jibesh Patra Germany
Chenyuan Yang United States
Yinlin Deng
Citations per year, relative to Yinlin Deng Yinlin Deng (= 1×) peers Chenyuan Yang

Countries citing papers authored by Yinlin Deng

Since Specialization
Citations

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

Fields of papers citing papers by Yinlin Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yinlin Deng

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

All Works

8 of 8 papers shown
1.
Xia, Chunqiu Steven, Yinlin Deng, S.M. Dunn, & Lingming Zhang. (2025). Demystifying LLM-Based Software Engineering Agents. Proceedings of the ACM on software engineering.. 2(FSE). 801–824. 8 indexed citations
3.
Yang, Chenyuan, et al.. (2024). WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language Models. Proceedings of the ACM on Programming Languages. 8(OOPSLA2). 709–735. 26 indexed citations
4.
Yang, Chenyuan, et al.. (2023). Fuzzing Automatic Differentiation in Deep-Learning Libraries. 1174–1186. 12 indexed citations
5.
Deng, Yinlin, et al.. (2023). Large Language Models Are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models. Zenodo (CERN European Organization for Nuclear Research). 423–435. 126 indexed citations breakdown →
6.
Deng, Yinlin, et al.. (2022). Free lunch for testing. 995–1007. 49 indexed citations
7.
Liu, Jiawei, et al.. (2022). Coverage-guided tensor compiler fuzzing with joint IR-pass mutation. Proceedings of the ACM on Programming Languages. 6(OOPSLA1). 1–26. 30 indexed citations
8.
Deng, Yinlin, et al.. (2022). Fuzzing deep-learning libraries via automated relational API inference. 44–56. 39 indexed citations

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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