Kejun Wang

777 citations
47 papers · 652 · h-index 10

Impact in

Papers in

Kejun Wang

42 papers receiving 641 citations

Peers

Kejun Wang
Comparison fields: 5 of 71
  • Biomedical Engineering 508
  • Polymers and Plastics 143
  • Cognitive Neuroscience 193
  • Bioengineering 50
  • Automotive Engineering 49
Replace Jean Won Kwak with:
Jean Won Kwak United States
Daobing Chen China
Sohail F. Shaikh Saudi Arabia
Siyuan Yao China
Bohan Sun United States
Sherjeel M. Khan Saudi Arabia
Jiangtao Su China
Yegor Piskarev Switzerland
Min‐gu Kim South Korea
Qinwu Gao China
Kejun Wang relative to Jean Won Kwak United States Jean Won Kwak's profile →
Citations per field
00.5×1.5×2.1×
Jean Won Kwak · 1×
Citations per year

Countries citing papers authored by Kejun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kejun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018143
2 2020117
3 2016106
4 201860
5 201930
6 201926
7 202124
8 201918
9 201916
10 202316
11 20068
12 20128
13 20216
14 20226
15 20066
16 20215
17 20145
18 20065
19 20234
20 20194

About Kejun Wang

Kejun Wang is a scholar working on Biomedical Engineering, Atomic and Molecular Physics, and Optics, Mechanical Engineering, Control and Systems Engineering and Cognitive Neuroscience, having authored 47 papers that have together received 652 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (13 papers), Tactile and Sensory Interactions (8 papers), Advanced Surface Polishing Techniques (6 papers), Advanced machining processes and optimization (5 papers), Mechanical and Optical Resonators (5 papers), Force Microscopy Techniques and Applications (5 papers), Advanced Sensor and Control Systems (4 papers) and Advanced Measurement and Metrology Techniques (4 papers). The work is most often cited by research in Biomedical Engineering (508 citations), Polymers and Plastics (143 citations), Cognitive Neuroscience (193 citations), Bioengineering (50 citations) and Automotive Engineering (49 citations). Kejun Wang has collaborated with scholars based in China, Saint Kitts and Nevis and Australia. Frequent co-authors include Zhiwu Han, Honglie Song, Junqiu Zhang, Shichao Niu, Daobing Chen, Linpeng Liu, Luquan Ren, Luquan Ren, Ze Wang and Qigang Han. Their work appears in journals such as Advanced Science, Advanced Materials Technologies, The International Journal of Advanced Manufacturing Technology, Applied Sciences and Nanoscale.

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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