Junyu Chen

979 citations
38 papers · 553 · h-index 12

Impact in

Papers in

Junyu Chen

36 papers receiving 531 citations

Peers

Junyu Chen
Comparison fields: 5 of 94
  • Radiology, Nuclear Medicine and Imaging 172
  • Neurology 68
  • Computer Vision and Pattern Recognition 86
  • Computational Mathematics 2
  • Health Informatics 4
Replace Haiqing Li with:
Haiqing Li China
Daesung Kang South Korea
Chengjun Yao China
Jan Novák United Kingdom
Feiyu Chen China
Neda Haj‐Hosseini Sweden
Ali‐Reza Moradi Iran
Haipeng Si China
Po‐Lin Chen Taiwan
Junyu Chen relative to Haiqing Li China Haiqing Li's profile →
Citations per field
00.5×2.6×
Haiqing Li · 1×
Citations per year

Countries citing papers authored by Junyu Chen

Since Specialization
Citations

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

Fields of papers citing papers by Junyu Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005122
2 201990
3 201741
4 202338
5 202031
6 201928
7 202119
8 202117
9 202213
10 202313
11 202212
12 202311
13 202410
14 202410
15 20249
16 20249
17 20218
18 20228
19 20228
20 20228

About Junyu Chen

Junyu Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Aerospace Engineering and Biomedical Engineering, having authored 38 papers that have together received 553 indexed citations. Recurring topics across this work include Plasma Diagnostics and Applications (10 papers), Plasma Applications and Diagnostics (10 papers), Radiomics and Machine Learning in Medical Imaging (7 papers), Medical Imaging Techniques and Applications (6 papers), Aerosol Filtration and Electrostatic Precipitation (5 papers), Medical Image Segmentation Techniques (4 papers), Electrohydrodynamics and Fluid Dynamics (4 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (172 citations), Neurology (68 citations), Computer Vision and Pattern Recognition (86 citations), Computational Mathematics (2 citations) and Health Informatics (4 citations). Junyu Chen has collaborated with scholars based in China, United States and Hungary. Frequent co-authors include M. Flint Beal, Noel Y. Calingasan, John P. Crow, Pengying Jia, Xuechen Li, Kaiyue Wu, Jiacun Wu, Lichao Jia, Jian Pu and Jian Li. Their work appears in journals such as Physics of Plasmas, International Journal of Computer Vision, Annals of Neurology, Medical Physics and Plasma Sources Science and Technology.

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.

Explore authors with similar magnitude of impact