Zeyu Sun

1.2k total citations · 1 hit paper
41 papers, 773 citations indexed

About

Zeyu Sun is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, Zeyu Sun has authored 41 papers receiving a total of 773 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Information Systems, 18 papers in Artificial Intelligence and 16 papers in Software. Recurrent topics in Zeyu Sun's work include Software Engineering Research (20 papers), Software Testing and Debugging Techniques (15 papers) and Topic Modeling (11 papers). Zeyu Sun is often cited by papers focused on Software Engineering Research (20 papers), Software Testing and Debugging Techniques (15 papers) and Topic Modeling (11 papers). Zeyu Sun collaborates with scholars based in China, United Kingdom and United States. Zeyu Sun's co-authors include Qihao Zhu, Lu Zhang, Yingfei Xiong, Lili Mou, Wenjie Zhang, Jie M. Zhang, Mike Papadakis, Mark Harman, Dan Hao and Lu Zhang and has published in prestigious journals such as IEEE Transactions on Software Engineering, Frontiers in Cellular and Infection Microbiology and IEEE Transactions on Reliability.

In The Last Decade

Zeyu Sun

32 papers receiving 765 citations

Hit Papers

A syntax-guided edit decoder for neural program repair 2021 2026 2022 2024 2021 40 80 120

Peers

Zeyu Sun
Miltiadis Allamanis United Kingdom
Bowen Xu Singapore
Ajitha Rajan United Kingdom
Jungmin Kim South Korea
Zeyu Sun
Citations per year, relative to Zeyu Sun Zeyu Sun (= 1×) peers Weishi Wang

Countries citing papers authored by Zeyu Sun

Since Specialization
Citations

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

Fields of papers citing papers by Zeyu Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zeyu Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Zeyu Sun. A scholar is included among the top collaborators of Zeyu Sun 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 Zeyu Sun. Zeyu Sun 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
1.
Sun, Zeyu, et al.. (2025). Bipartite-Grammar–Aware Pretraining for XML-SQL Code Updating. ACM Transactions on Software Engineering and Methodology. 35(2). 1–26. 1 indexed citations
2.
Sun, Zeyu, et al.. (2025). Do advanced language models eliminate the need for prompt engineering in software engineering?. ACM Transactions on Software Engineering and Methodology.
3.
Sun, Zeyu, et al.. (2025). From Cryptic to Clear - Training on LLM Explanations to Detect Smart Contract Vulnerabilities. ACM Transactions on Software Engineering and Methodology.
4.
Sun, Zeyu, et al.. (2025). Directional Diffusion-Style Code Editing Pre-Training. IEEE Transactions on Software Engineering. 51(9). 2583–2600.
5.
Sun, Zeyu, et al.. (2025). Prompt Alchemy: Automatic Prompt Refinement for Enhancing Code Generation. IEEE Transactions on Software Engineering. 51(9). 2472–2493.
6.
Sun, Zeyu, et al.. (2024). Spotting Code Mutation for Predictive Mutation Testing. 1133–1145.
7.
Sun, Zeyu, et al.. (2024). Is It Hard to Generate Holistic Commit Message?. ACM Transactions on Software Engineering and Methodology. 34(2). 1–28. 1 indexed citations
8.
Sun, Zeyu, Zhenpeng Chen, Jie M. Zhang, & Dan Hao. (2024). Fairness Testing of Machine Translation Systems. ACM Transactions on Software Engineering and Methodology. 33(6). 1–27. 5 indexed citations
9.
Sun, Zeyu, et al.. (2024). Commit Artifact Preserving Build Prediction. 1236–1248.
10.
Sun, Zeyu, et al.. (2024). GrammarT5: Grammar-Integrated Pretrained Encoder-Decoder Neural Model for Code. 1–13. 4 indexed citations
11.
13.
Jiang, Jiajun, et al.. (2024). A Large-Scale Empirical Study on Improving the Fairness of Image Classification Models. 210–222. 2 indexed citations
14.
Yang, Zhen, Jacky Keung, Zeyu Sun, et al.. (2023). Improving domain-specific neural code generation with few-shot meta-learning. Information and Software Technology. 166. 107365–107365. 4 indexed citations
15.
Zhang, Hongtao, Zeyu Sun, Juan Zhou, et al.. (2023). Computed tomography–based COVID–19 triage through a deep neural network using mask–weighted global average pooling. Frontiers in Cellular and Infection Microbiology. 13. 1116285–1116285. 4 indexed citations
16.
Li, Zheng, Bin Peng, Xiang Chen, et al.. (2022). SeTransformer: A Transformer-Based Code Semantic Parser for Code Comment Generation. IEEE Transactions on Reliability. 72(1). 258–273. 22 indexed citations
17.
Lou, Yiling, et al.. (2022). FIRA. 970–981. 38 indexed citations
18.
Sun, Zeyu, et al.. (2022). Lyra: A Benchmark for Turducken-Style Code Generation. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 4238–4244. 4 indexed citations
19.
Zhu, Qihao, et al.. (2021). A syntax-guided edit decoder for neural program repair. 341–353. 140 indexed citations breakdown →
20.
Sun, Zeyu, Jie M. Zhang, Mark Harman, Mike Papadakis, & Lu Zhang. (2020). Automatic testing and improvement of machine translation. 974–985. 85 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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