Jun Yu

64 papers receiving 791 citations

Peers

Jun Yu
Comparison fields: 5 of 97
  • Renewable Energy, Sustainability and the Environment 135
  • Automotive Engineering 84
  • Electrical and Electronic Engineering 403
  • Biomedical Engineering 223
  • Paleontology 34
Replace Aldo A. Peracchio with:
Aldo A. Peracchio United States
Shuxian Wang China
D. Wiedenmann Switzerland
Jean‐Christophe Perrin France
Peng Lu China
Jeffrey S. Allen United States
R. J. Davis United Kingdom
Bibhudutta Rout United States
Tom Weier Germany
Yufan Zhou China
Jun Yu relative to Aldo A. Peracchio United States Aldo A. Peracchio's profile →
Citations per field
00.5×8.5×
Aldo A. Peracchio · 1×
Citations per year

Countries citing papers authored by Jun Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jun Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011383
2 199748
3 199746
4 202228
5 202324
6 201820
7
Felsic volcanic rocks from northern Tarim, NW China: Zircon U-Pb dating and geochemical characteristics
201119
8 202119
9 202217
10 202217
11 201715
12 202213
13 202212
14 202310
15 201810
16 20219
17 20228
18 20218
19 20198
20 20237

About Jun Yu

Jun Yu is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering, Biomedical Engineering, Radiation and Computer Vision and Pattern Recognition, having authored 74 papers that have together received 818 indexed citations. Recurring topics across this work include Advanced X-ray Imaging Techniques (13 papers), Optical measurement and interference techniques (7 papers), Laser Material Processing Techniques (7 papers), Advanced Measurement and Metrology Techniques (6 papers), Adaptive optics and wavefront sensing (6 papers), Advanced Surface Polishing Techniques (6 papers), Astrophysical Phenomena and Observations (6 papers) and Silicon Carbide Semiconductor Technologies (5 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (135 citations), Automotive Engineering (84 citations), Electrical and Electronic Engineering (403 citations), Biomedical Engineering (223 citations) and Paleontology (34 citations). Jun Yu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Drew Higgins, Zhongwei Chen, Michael Fowler, Hadis Zarrin, Zhanshan Wang, Lingen Chen, Fengrui Sun, Chih Wu, Zhengxiang Shen and Xiaoqiang Wang. Their work appears in journals such as Optics Express, Applied Optics, Journal of Astronomical Telescopes Instruments and Systems, Ocean Engineering and Materials.

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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