Guanpeng Li

2.0k total citations · 1 hit paper
61 papers, 1.4k citations indexed

About

Guanpeng Li is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Guanpeng Li has authored 61 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Electrical and Electronic Engineering, 26 papers in Artificial Intelligence and 21 papers in Hardware and Architecture. Recurrent topics in Guanpeng Li's work include Radiation Effects in Electronics (29 papers), Parallel Computing and Optimization Techniques (17 papers) and Security and Verification in Computing (12 papers). Guanpeng Li is often cited by papers focused on Radiation Effects in Electronics (29 papers), Parallel Computing and Optimization Techniques (17 papers) and Security and Verification in Computing (12 papers). Guanpeng Li collaborates with scholars based in United States, Canada and China. Guanpeng Li's co-authors include Karthik Pattabiraman, Guoying Gao, Timothy Tsai, Michael B. Sullivan, Siva Kumar Sastry Hari, Guangqian Ding, Joel Emer, Stephen W. Keckler, Nathan DeBardeleben and Anna Thomas and has published in prestigious journals such as The Journal of Physical Chemistry C, RSC Advances and Journal of Physics Condensed Matter.

In The Last Decade

Guanpeng Li

54 papers receiving 1.4k citations

Hit Papers

Understanding error propagation in deep learning neural n... 2017 2026 2020 2023 2017 100 200 300

Peers

Guanpeng Li
Aibin Yan China
Shantanu Gupta United States
Mark Zwoliński United Kingdom
Lawrence T. Clark United States
Wujie Wen United States
Ruchir Puri United States
Li‐Wen Chang United States
Aibin Yan China
Guanpeng Li
Citations per year, relative to Guanpeng Li Guanpeng Li (= 1×) peers Aibin Yan

Countries citing papers authored by Guanpeng Li

Since Specialization
Citations

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

Fields of papers citing papers by Guanpeng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanpeng Li

This figure shows the co-authorship network connecting the top 25 collaborators of Guanpeng Li. A scholar is included among the top collaborators of Guanpeng Li 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 Guanpeng Li. Guanpeng Li 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.
Di, Sheng, Xin Liang, Guanpeng Li, et al.. (2025). Lightweight CNN-Based Artifact Reduction for Scientific Error-bounded Lossy Compression. 314–323.
2.
Di, Sheng, et al.. (2025). Pushing the Limits of GPU Lossy Compression: A Hierarchical Delta Approach. 654–669. 2 indexed citations
3.
Di, Sheng, et al.. (2025). GPU Lossy Compression for HPC Can Be Versatile and Ultra-Fast. 2056–2075. 1 indexed citations
4.
Di, Sheng, et al.. (2025). lsCOMP: Efficient Light Source Compression. 2006–2023. 1 indexed citations
6.
Di, Sheng, et al.. (2024). Druto: Upper-Bounding Silent Data Corruption Vulnerability in GPU Applications. 582–594. 3 indexed citations
7.
Dash, Pritam, et al.. (2024). Diagnosis-guided Attack Recovery for Securing Robotic Vehicles from Sensor Deception Attacks. 915–929. 5 indexed citations
8.
9.
Tian, Jiannan, Sheng Di, Robert Underwood, et al.. (2024). CUSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation. 1–15. 8 indexed citations
10.
Di, Sheng, et al.. (2024). CUSZP2: A GPU Lossy Compressor with Extreme Throughput and Optimized Compression Ratio. 1–18. 12 indexed citations
11.
Di, Sheng, Ganesh Gopalakrishnan, Robert Underwood, et al.. (2024). SZOps: Scalar Operations for Error-bounded Lossy Compressor for Scientific Data. 260–269.
12.
Huang, Yeen, et al.. (2023). Long working hours and all-cause mortality in China: A 26-year follow-up study. Scandinavian Journal of Work Environment & Health. 49(8). 539–548. 9 indexed citations
13.
Li, Guanpeng, et al.. (2023). Investigating the Impact of High-Level Software Design on Low-Level Hardware Fault Resilience. 163–167. 2 indexed citations
14.
Guo, Shengjian, et al.. (2022). Mitigating Silent Data Corruptions in HPC Applications across Multiple Program Inputs. 1–14. 7 indexed citations
16.
Tian, Jiannan, et al.. (2020). LCFI: A Fault Injection Tool for Studying Lossy Compression Error Propagation in HPC Programs. 2708–2715. 4 indexed citations
17.
Chen, Zitao, et al.. (2020). TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications. 426–435. 53 indexed citations
18.
Li, Guanpeng, et al.. (2019). BinFI. 1–23. 68 indexed citations
19.
Li, Guanpeng, et al.. (2016). Understanding error propagation in GPGPU applications. IEEE International Conference on High Performance Computing, Data, and Analytics. 21. 46 indexed citations
20.
Li, Guanpeng, Guangqian Ding, & Guoying Gao. (2016). Thermoelectric properties of SnSe2monolayer. Journal of Physics Condensed Matter. 29(1). 15001–15001. 132 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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