Li Shen

991 citations
86 papers · 706 indexed · h-index 14
Topics
Parallel Computing and Optimization Techniques (51 papers)Distributed and Parallel Computing Systems (21 papers)Embedded Systems Design Techniques (18 papers)
Partner nations
ChinaUnited StatesJapan

In The Last Decade

Li Shen

79 papers receiving 684 citations

Peers

Li Shen
Comparison fields: 5 of 64
  • Hardware and Architecture 278
  • Electrical and Electronic Engineering 231
  • Computer Vision and Pattern Recognition 219
  • Computer Networks and Communications 211
  • Signal Processing 155
Replace Rabi Mahapatra with:
Rabi Mahapatra United States
M. Watheq El‐Kharashi Egypt
Wanghong Yuan United States
Benjamin Grégoire France
Pallab Dasgupta India
Joo-Young Kim South Korea
Debjit Das Sarma United States
Michel A. Kinsy United States
Akhilesh Tyagi United States
A. Wolfe United States
Li Shen relative to Rabi Mahapatra United States Rabi Mahapatra's profile →
Citations per field
00.5×2.8×
Rabi Mahapatra · 1×
Citations per year

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
#WorkIndexed citations
1 0
2 0
3 0
4 4
5 2
6 1
7 2
8 1
9 1
10 44
11 6
12 4
13 8
14 2
15 1
16 4
17 2
18 10
19 1
20 5

About Li Shen

Li Shen is a scholar working on Hardware and Architecture, Computer Networks and Communications and Signal Processing, having authored 86 papers that have together received 706 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (51 papers), Distributed and Parallel Computing Systems (21 papers) and Embedded Systems Design Techniques (18 papers). The work is most often cited by research in Hardware and Architecture (278 citations), Signal Processing (155 citations) and Computer Vision and Pattern Recognition (219 citations). Li Shen has collaborated with scholars based in China, United States and Japan. Frequent 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. Their work appears in journals such as Advanced Energy Materials, ACS Applied Materials & Interfaces and IEEE Journal of Solid-State Circuits.

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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