Li Shen

991 total citations
86 papers, 706 citations indexed

About

Li Shen is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Li Shen has authored 86 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Hardware and Architecture, 45 papers in Computer Networks and Communications and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Li Shen's work include Parallel Computing and Optimization Techniques (51 papers), Distributed and Parallel Computing Systems (21 papers) and Embedded Systems Design Techniques (18 papers). Li Shen is often cited by papers focused on Parallel Computing and Optimization Techniques (51 papers), Distributed and Parallel Computing Systems (21 papers) and Embedded Systems Design Techniques (18 papers). Li Shen collaborates with scholars based in China, United States and Japan. Li Shen's co-authors include Zhiying Wang, Libo Huang, Nong Xiao, Yang Song, Takeshi Ikenaga, Lingfeng Li, Satoshi Goto, Ming Shao, Joseph L. Greathouse and Junli Gu and has published in prestigious journals such as Advanced Energy Materials, ACS Applied Materials & Interfaces and IEEE Journal of Solid-State Circuits.

In The Last Decade

Li Shen

79 papers receiving 684 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Li Shen China 14 278 231 219 211 155 86 706
Rabi Mahapatra United States 17 375 1.3× 463 2.0× 139 0.6× 504 2.4× 55 0.4× 113 1.1k
M. Watheq El‐Kharashi Egypt 17 514 1.8× 329 1.4× 78 0.4× 497 2.4× 79 0.5× 161 969
Joo-Young Kim South Korea 11 386 1.4× 283 1.2× 213 1.0× 413 2.0× 51 0.3× 41 826
Michel A. Kinsy United States 17 426 1.5× 319 1.4× 56 0.3× 434 2.1× 32 0.2× 76 765
Pallab Dasgupta India 15 352 1.3× 271 1.2× 66 0.3× 150 0.7× 68 0.4× 197 1.1k
T. Simunic United States 18 670 2.4× 698 3.0× 87 0.4× 654 3.1× 40 0.3× 36 1.2k
Thomas D. Burd United States 7 482 1.7× 616 2.7× 75 0.3× 520 2.5× 39 0.3× 8 1.1k
Sunggu Lee South Korea 17 498 1.8× 457 2.0× 84 0.4× 591 2.8× 34 0.2× 89 997
V. Kumar United States 15 141 0.5× 199 0.9× 73 0.3× 618 2.9× 97 0.6× 45 728
Debjit Das Sarma United States 8 163 0.6× 214 0.9× 45 0.2× 78 0.4× 88 0.6× 9 395

Countries citing papers authored by Li Shen

Since Specialization
Citations

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

Fields of papers citing papers by Li Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Li Shen. A scholar is included among the top collaborators of Li Shen 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 Li Shen. Li Shen 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.
Wang, Ruoxi, et al.. (2025). Decoupled Vector Processing Unit: Past, Present, and Future. Journal of Computer Science and Technology. 40(5). 1368–1385.
2.
Lü, Kai, et al.. (2025). TSN Cache: Exploiting Data Localities in Graph Computing Applications. ACM Transactions on Architecture and Code Optimization. 22(2). 1–26.
4.
Chen, Shi, et al.. (2024). A comprehensive survey on graph neural network accelerators. Frontiers of Computer Science. 19(2). 4 indexed citations
7.
Li, Tao, et al.. (2022). A High-performance SpMV Accelerator on HBM-equipped FPGAs. 1081–1087. 2 indexed citations
8.
Li, Tao & Li Shen. (2022). A sparse matrix vector multiplication accelerator based on high-bandwidth memory. Computers & Electrical Engineering. 105. 108488–108488. 1 indexed citations
9.
Huang, Libo, et al.. (2022). Stride Equality Prediction for Value Speculation. IEEE Computer Architecture Letters. 21(2). 57–60. 1 indexed citations
10.
Liu, Xinwang, et al.. (2021). Late Fusion Multiple Kernel Clustering With Local Kernel Alignment Maximization. IEEE Transactions on Multimedia. 25. 993–1007. 44 indexed citations
11.
Zhang, Liang, et al.. (2021). An Efficient Hybrid Parallel Compression Approximate Multiplier. 109–116. 6 indexed citations
12.
13.
Shen, Li, et al.. (2017). A statistic approach for power analysis of integrated GPU. Soft Computing. 23(3). 827–836. 8 indexed citations
14.
Shen, Li, et al.. (2012). HVD-TLS: A Novel Framework of Thread Level Speculation. 1912–1917. 2 indexed citations
16.
Chen, Xuhao, et al.. (2011). Performance model for OpenMP parallelized loops. 383–387. 4 indexed citations
17.
Shen, Li, et al.. (2011). Parallelizing Network Coding Using CUDA. Advanced materials research. 186. 484–488. 2 indexed citations
18.
Huang, Libo, et al.. (2010). SIF: Overcoming the limitations of SIMD devices via implicit permutation. 1–12. 10 indexed citations
19.
Shen, Li, et al.. (2010). A Dynamic Binary Translation Framework Based on Page Fault Mechanism in Linux Kernel. 2284–2289. 1 indexed citations
20.
Chen, Wei, Hongyi Lu, Li Shen, Zhiying Wang, & Nong Xiao. (2008). DBTIM: An Advanced Hardware Assisted Full Virtualization Architecture. 399–404. 5 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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