Shaojun Wei

7.6k citations
445 papers · 5.5k · h-index 35

Impact in

Papers in

Shaojun Wei

415 papers receiving 5.3k citations

Peers

Shaojun Wei
Comparison fields: 5 of 117
  • Hardware and Architecture 1.7k
  • Computer Vision and Pattern Recognition 1.5k
  • Computer Networks and Communications 1.4k
  • Computational Mathematics 30
  • Electrical and Electronic Engineering 2.6k
Replace Shouyi Yin with:
Shouyi Yin China
Leibo Liu China
Brucek Khailany United States
Sungjoo Yoo South Korea
Hadi Esmaeilzadeh United States
Zhongfeng wang China
Chaitali Chakrabarti United States
Sarma B. K. Vrudhula United States
Olivier Temam France
Srimat Chakradhar United States
Shaojun Wei relative to Shouyi Yin China Shouyi Yin's profile →
Citations per field
00.5×1.5×
Shouyi Yin · 1×
Citations per year

Countries citing papers authored by Shaojun Wei

Since Specialization
Citations

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

Fields of papers citing papers by Shaojun Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Shaojun Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shaojun Wei Line = papers co-authored together Shaojun Wei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 445 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017258
2 2017231
3 2017177
4 2019174
5 2020134
6 2022103
7 201975
8 201774
9 202371
10 201869
11 201865
12 201863
13 202260
14 202157
15 202254
16 202152
17 201351
18 201851
19 202151
20 202149

About Shaojun Wei

Shaojun Wei is a scholar working on Hardware and Architecture, Computer Networks and Communications, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence, having authored 445 papers that have together received 5.5k indexed citations. Recurring topics across this work include Embedded Systems Design Techniques (139 papers), Parallel Computing and Optimization Techniques (127 papers), Interconnection Networks and Systems (127 papers), Advanced Memory and Neural Computing (86 papers), Advanced Neural Network Applications (52 papers), CCD and CMOS Imaging Sensors (44 papers), Ferroelectric and Negative Capacitance Devices (41 papers) and Advanced Vision and Imaging (30 papers). The work is most often cited by research in Hardware and Architecture (1.7k citations), Computer Vision and Pattern Recognition (1.5k citations), Computer Networks and Communications (1.4k citations), Computational Mathematics (30 citations) and Electrical and Electronic Engineering (2.6k citations). Shaojun Wei has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Shouyi Yin, Leibo Liu, Peng Ouyang, Fengbin Tu, Shibin Tang, Xiudong Li, Chenchen Deng, Min Zhu, Shixuan Zheng and Jie Han. Their work appears in journals such as IEEE Journal of Solid-State Circuits, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Very Large Scale Integration (VLSI) Systems and IEEE Transactions on Circuits and Systems I Regular Papers.

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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