Jun Shen

28 papers receiving 421 citations

Peers

Jun Shen
Comparison fields: 5 of 62
  • Fluid Flow and Transfer Processes 29
  • Aerospace Engineering 111
  • Electrical and Electronic Engineering 231
  • Computer Networks and Communications 90
  • Polymers and Plastics 40
Replace Hongyi Lu with:
Hongyi Lu China
Jonghyeok Lee South Korea
Zhiqing Wang China
Dongming Li China
Ho‐Joon Lee South Korea
Yufeng Wang China
Xiangbo Zhang China
Yongshuai Wang China
Muhammad Abdul Wahab United States
Shuliang Ye China
Jun Shen relative to Hongyi Lu China Hongyi Lu's profile →
Citations per field
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Hongyi Lu · 1×
Citations per year

Countries citing papers authored by Jun Shen

Since Specialization
Citations

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

Fields of papers citing papers by Jun Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jun Shen, 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 Jun Shen Line = papers co-authored together Jun Shen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202190
2 201046
3 202233
4 202433
5 202026
6 202519
7 202218
8 202018
9 202214
10 201514
11 202014
12 201813
13 202312
14 200612
15 200911
16 200911
17 202310
18 202310
19 20237
20 20006

About Jun Shen

Jun Shen is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Fluid Flow and Transfer Processes, Biomedical Engineering and Energy Engineering and Power Technology, having authored 31 papers that have together received 431 indexed citations. Recurring topics across this work include Advanced MIMO Systems Optimization (6 papers), Phase Equilibria and Thermodynamics (5 papers), Chemical Thermodynamics and Molecular Structure (5 papers), Integrated Energy Systems Optimization (4 papers), Advanced Wireless Network Optimization (4 papers), Thermodynamic properties of mixtures (3 papers), Supercapacitor Materials and Fabrication (3 papers) and Advanced Battery Materials and Technologies (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (29 citations), Aerospace Engineering (111 citations), Electrical and Electronic Engineering (231 citations), Computer Networks and Communications (90 citations) and Polymers and Plastics (40 citations). Jun Shen has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Kun Yang, Haibo Mei, Qiang Liu, Maoqiong Gong, Xueqiang Dong, Yanxing Zhao, Haige Xiang, Huiyu Yang, Zhihua Zhang and Chaojun Cui. Their work appears in journals such as The Journal of Chemical Thermodynamics, Electrochimica Acta, IEEE Transactions on Vehicular Technology, International Journal of Refrigeration and International Journal of Biological Macromolecules.

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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