Chunyang Chen

4.3k total citations · 4 hit papers
114 papers, 2.2k citations indexed

About

Chunyang Chen is a scholar working on Information Systems, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Chunyang Chen has authored 114 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Information Systems, 39 papers in Signal Processing and 33 papers in Artificial Intelligence. Recurrent topics in Chunyang Chen's work include Software Engineering Research (43 papers), Advanced Malware Detection Techniques (39 papers) and Software Testing and Debugging Techniques (29 papers). Chunyang Chen is often cited by papers focused on Software Engineering Research (43 papers), Advanced Malware Detection Techniques (39 papers) and Software Testing and Debugging Techniques (29 papers). Chunyang Chen collaborates with scholars based in Australia, China and Singapore. Chunyang Chen's co-authors include Zhenchang Xing, Sidong Feng, Yang Liu, Junjie Wang, Qing Wang, Zhe Liu, Yuchao Huang, Xin Xia, Song Wang and Guozhu Meng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and ACM Computing Surveys.

In The Last Decade

Chunyang Chen

105 papers receiving 2.2k citations

Hit Papers

Software Testing With Large Language Models: Survey, Land... 2023 2026 2024 2025 2024 2023 2024 2024 50 100 150

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chunyang Chen Australia 29 1.3k 648 545 501 332 114 2.2k
Kevin A. Schneider Canada 26 1.9k 1.5× 760 1.2× 935 1.7× 342 0.7× 133 0.4× 139 2.4k
Filomena Ferrucci Italy 27 1.7k 1.3× 486 0.8× 1.0k 1.8× 268 0.5× 99 0.3× 168 2.3k
Giuseppe Scanniello Italy 23 1.7k 1.3× 626 1.0× 835 1.5× 165 0.3× 94 0.3× 192 2.1k
Rishabh Singh United States 24 1.2k 0.9× 967 1.5× 1.1k 2.0× 341 0.7× 134 0.4× 71 2.3k
Ewan Tempero New Zealand 24 1.6k 1.3× 678 1.0× 954 1.8× 184 0.4× 82 0.2× 162 2.3k
Mario Linares‐Vásquez United States 33 2.5k 1.9× 634 1.0× 1.1k 2.0× 929 1.9× 68 0.2× 88 3.1k
Abram Hindle Canada 32 2.9k 2.2× 857 1.3× 1.2k 2.3× 686 1.4× 159 0.5× 152 3.9k
Baishakhi Ray United States 26 1.9k 1.5× 1.4k 2.2× 1.4k 2.6× 742 1.5× 304 0.9× 81 3.6k
Christoph Treude Australia 27 2.3k 1.8× 807 1.2× 532 1.0× 212 0.4× 61 0.2× 157 2.9k
José Carlos Maldonado Brazil 25 1.4k 1.1× 577 0.9× 1.2k 2.3× 109 0.2× 109 0.3× 202 2.2k

Countries citing papers authored by Chunyang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chunyang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunyang Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Chunyang Chen. A scholar is included among the top collaborators of Chunyang Chen 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 Chunyang Chen. Chunyang Chen 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.
Zhang, Mengxi, et al.. (2025). Distinguishing GUI Component States for Blind Users Using Large Language Models. ACM Transactions on Software Engineering and Methodology. 34(8). 1–35. 1 indexed citations
2.
Liu, Zhe, et al.. (2025). Standing on the Shoulders of Giants: Bug-Aware Automated GUI Testing via Retrieval Augmentation. Proceedings of the ACM on software engineering.. 2(FSE). 825–846.
3.
Chen, Xiang, et al.. (2025). An Empirical Study on Challenges for LLM Application Developers. ACM Transactions on Software Engineering and Methodology. 34(7). 1–37. 6 indexed citations
4.
Chen, Chunyang, et al.. (2025). From Prompts to Templates: A Systematic Prompt Template Analysis for Real-world LLMapps. 75–86. 3 indexed citations
5.
Fang, Chunrong, et al.. (2025). Vision-Based Mobile App GUI Testing: A Survey. ACM Computing Surveys. 58(6). 1–46.
6.
Fan, Chaojie, et al.. (2025). Identity-aware infrared person image generation and re-identification via controllable diffusion model. Pattern Recognition. 165. 111561–111561. 2 indexed citations
7.
Fan, Chaojie, et al.. (2024). X-ray security inspection for real-world rail transit hubs: a wide-ranging dataset and detection model with incremental learning block. The Visual Computer. 41(8). 5347–5359. 2 indexed citations
8.
Liu, Zhe, et al.. (2024). Make LLM a Testing Expert: Bringing Human-like Interaction to Mobile GUI Testing via Functionality-aware Decisions. 1–13. 38 indexed citations breakdown →
9.
Zhang, Mengxi, et al.. (2024). Are your apps accessible? A GCN-based accessibility checker for low vision users. Information and Software Technology. 174. 107518–107518. 2 indexed citations
11.
Tantithamthavorn, Chakkrit, et al.. (2023). D-ACT: Towards Diff-Aware Code Transformation for Code Review Under a Time-Wise Evaluation. 296–307. 6 indexed citations
12.
Chen, Xiaodan, et al.. (2023). Research on the reform of integrated talent cultivation of middle and high school undergraduate in the context of 1+X certificate. SHILAP Revista de lepidopterología. 178. 2003–2003.
13.
Zhang, Miao, et al.. (2023). Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs. Griffith Research Online (Griffith University, Queensland, Australia). 611–620. 17 indexed citations
14.
Zhang, Mengxi, et al.. (2023). AccessFixer: Enhancing GUI Accessibility for Low Vision Users With R-GCN Model. IEEE Transactions on Software Engineering. 50(2). 173–189. 4 indexed citations
15.
Chen, Jieshan, Jiamou Sun, Sidong Feng, et al.. (2023). Unveiling the Tricks: Automated Detection of Dark Patterns in Mobile Applications. 1–20. 15 indexed citations
16.
Wang, Junjie, Ye Yang, Song Wang, et al.. (2021). Context-Aware Personalized Crowdtesting Task Recommendation. IEEE Transactions on Software Engineering. 48(8). 3131–3144. 20 indexed citations
17.
Chen, Chunyang, He Wang, Xinyu Geng, et al.. (2021). Metformin exerts anti-AR-negative prostate cancer activity via AMPK/autophagy signaling pathway. Cancer Cell International. 21(1). 404–404. 30 indexed citations
18.
Ma, Mengchao, Xing Yi Ling, Chunyang Chen, et al.. (2021). Single-pixel panoramic inspection of objects with the assistance of planar mirrors. Optics and Lasers in Engineering. 150. 106839–106839. 2 indexed citations
19.
Geng, Xinyu, et al.. (2020). The prognostic value and potential mechanism of Matrix Metalloproteinases among Prostate Cancer. International Journal of Medical Sciences. 17(11). 1550–1560. 15 indexed citations
20.
Colton, Simon, Alison Pease, Michael Cook, & Chunyang Chen. (2019). The HR3 system for automated code generation in creative settings. Monash University Research Portal (Monash University). 108–115. 1 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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