Heyuan Shi

756 total citations
54 papers, 453 citations indexed

About

Heyuan Shi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Signal Processing. According to data from OpenAlex, Heyuan Shi has authored 54 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 15 papers in Computer Networks and Communications and 12 papers in Signal Processing. Recurrent topics in Heyuan Shi's work include Advanced Malware Detection Techniques (12 papers), Security and Verification in Computing (9 papers) and Software Testing and Debugging Techniques (9 papers). Heyuan Shi is often cited by papers focused on Advanced Malware Detection Techniques (12 papers), Security and Verification in Computing (9 papers) and Software Testing and Debugging Techniques (9 papers). Heyuan Shi collaborates with scholars based in China, United States and Switzerland. Heyuan Shi's co-authors include Yu Jiang, Ying Fu, Jiaguang Sun, Xin Yang, Xibin Zhao, Zizhao Zhang, Nan Ma, Yue Gao, Yubo Zhang and Jie Tan and has published in prestigious journals such as IEEE Access, Sensors and IEEE Transactions on Smart Grid.

In The Last Decade

Heyuan Shi

46 papers receiving 443 citations

Peers

Heyuan Shi
Xiaoning Du China
Zhe Yu United States
Min Zhou China
Yuying Wang China
Pradeep Tomar India
Qinglei Zhou China
Rahil Hosseini Iran
Yanhong Huang China
Thaer Thaher Palestinian Territory
Yuhao Zhang China
Xiaoning Du China
Heyuan Shi
Citations per year, relative to Heyuan Shi Heyuan Shi (= 1×) peers Xiaoning Du

Countries citing papers authored by Heyuan Shi

Since Specialization
Citations

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

Fields of papers citing papers by Heyuan Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heyuan Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Heyuan Shi. A scholar is included among the top collaborators of Heyuan Shi 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 Heyuan Shi. Heyuan Shi 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.
Shi, Heyuan, et al.. (2024). H3NI: Non-target-specific node injection attacks on hypergraph neural networks via genetic algorithm. Neurocomputing. 613. 128746–128746. 2 indexed citations
2.
Shi, Heyuan, et al.. (2024). Parallel Fuzzing of IoT Messaging Protocols Through Collaborative Packet Generation. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(11). 3431–3442. 1 indexed citations
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Zhang, Quan, et al.. (2024). Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications. 502–506. 5 indexed citations
6.
Liu, Jianzhong, et al.. (2024). ECG: Augmenting Embedded Operating System Fuzzing via LLM-Based Corpus Generation. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 43(11). 4238–4249. 1 indexed citations
7.
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Shi, Heyuan, et al.. (2024). Logos: Log Guided Fuzzing for Protocol Implementations. 1720–1732. 4 indexed citations
9.
Zhang, Quan, et al.. (2024). Imperceptible Content Poisoning in LLM-Powered Applications. 242–254.
10.
Liu, Jianzhong, et al.. (2024). Effectively Sanitizing Embedded Operating Systems. 1–6.
11.
Shi, Heyuan, et al.. (2024). SPFuzz: Stateful Path based Parallel Fuzzing for Protocols in Autonomous Vehicles. 1–6. 3 indexed citations
12.
Liu, Jianzhong, et al.. (2024). Enhancing ROS System Fuzzing through Callback Tracing. 76–87. 1 indexed citations
13.
Zhang, Wenlong, et al.. (2024). MDIplier: Protocol Format Recovery via Hierarchical Inference. 547–557.
14.
Fu, Ying, Meng Ren, Fuchen Ma, et al.. (2023). EVMFuzz: Differential fuzz testing of Ethereum virtual machine. Journal of Software Evolution and Process. 36(4). 5 indexed citations
15.
Guo, Kehua, Liang Chen, Xiangyuan Zhu, et al.. (2023). Double-Layer Search and Adaptive Pooling Fusion for Reference-Based Image Super-Resolution. ACM Transactions on Multimedia Computing Communications and Applications. 20(1). 1–23. 2 indexed citations
16.
Liu, Jianzhong, et al.. (2022). Tardis: Coverage-Guided Embedded Operating System Fuzzing. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(11). 4563–4574. 7 indexed citations
17.
Ma, Fuchen, Meng Ren, Ying Fu, et al.. (2022). V-Gas: Generating High Gas Consumption Inputs to Avoid Out-of-Gas Vulnerability. ACM Transactions on Internet Technology. 23(3). 1–22. 12 indexed citations
18.
Wang, Miyuan, Hongye Peng, Kai‐Lin Huang, et al.. (2020). Efficacy and safety of ginkgo preparation in patients with vascular dementia. Medicine. 99(37). e22209–e22209. 7 indexed citations
19.
Shi, Heyuan, et al.. (2019). Vulnerable Code Clone Detection for Operating System Through Correlation-Induced Learning. IEEE Transactions on Industrial Informatics. 15(12). 6551–6559. 14 indexed citations
20.
Shi, Heyuan, Yubo Zhang, Zizhao Zhang, et al.. (2018). Hypergraph-Induced Convolutional Networks for Visual Classification. IEEE Transactions on Neural Networks and Learning Systems. 30(10). 2963–2972. 60 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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