Jun Wen

473 citations
40 papers · 347 · h-index 11

Impact in

Papers in

Jun Wen

39 papers receiving 335 citations

Peers

Jun Wen
Comparison fields: 5 of 81
  • Computer Networks and Communications 92
  • Aerospace Engineering 73
  • Industrial and Manufacturing Engineering 24
  • Artificial Intelligence 67
  • General Energy 2
Replace Shengjun Huang with:
Shengjun Huang China
Wende Ke China
Jie Dong China
Wei Bai China
Yongjian Yang China
Anoj Kumar India
Zhiwei Cao China
Yin Cheng China
Saurav Raj India
Jun Wen relative to Shengjun Huang China Shengjun Huang's profile →
Citations per field
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Shengjun Huang · 1×
Citations per year

Countries citing papers authored by Jun Wen

Since Specialization
Citations

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

Fields of papers citing papers by Jun Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201147
2 202145
3 201633
4 201025
5 202220
6 202318
7 202217
8 202217
9 202214
10 200813
11 201011
12 202310
13 20099
14
Fuzzy comprehensive evaluation of risk in airline safety system
20107
15 20206
16 20225
17 20095
18 20185
19 20095
20 20243

About Jun Wen

Jun Wen is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Aerospace Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 40 papers that have together received 347 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (6 papers), Satellite Communication Systems (4 papers), Optimization and Search Problems (3 papers), Energy Harvesting in Wireless Networks (3 papers), Mobile Ad Hoc Networks (3 papers), Human Pose and Action Recognition (2 papers), Advanced materials and composites (2 papers) and Asphalt Pavement Performance Evaluation (2 papers). The work is most often cited by research in Computer Networks and Communications (92 citations), Aerospace Engineering (73 citations), Industrial and Manufacturing Engineering (24 citations), Artificial Intelligence (67 citations) and General Energy (2 citations). Jun Wen has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Ming Chen, Jie Jiang, Jun Li, Hongmei Wang, Wenhua Dou, Yanjie Song, Yingwu Chen, Lining Xing, Hui Zhao and Wei Zhou. Their work appears in journals such as Scientific Reports, Chem, Ocean Engineering, Thin Solid Films and Engineering Applications of Artificial Intelligence.

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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