Junyu Chen

945 citations
35 papers · 488 indexed · h-index 11

Impact in

Papers in

Junyu Chen

30 papers receiving 468 citations

Peers

Junyu Chen
Comparison fields: 5 of 93
  • Radiology, Nuclear Medicine and Imaging 161
  • Neurology 65
  • Computer Vision and Pattern Recognition 72
  • Computational Mathematics 2
  • Health Informatics 4
Replace Haiqing Li with:
Haiqing Li China
Dong Yoon Kim South Korea
Jiarong Wu China
Jan Novák United Kingdom
Giorgos Papanastasiou United Kingdom
Haipeng Si China
Feiyu Chen China
Rachel Kast United States
Gen Li China
Junyu Chen relative to Haiqing Li China Haiqing Li's profile →
Citations per field
00.5×1.5×
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 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005113
2 201988
3 201739
4 202329
5 201928
6 202026
7 202118
8 202117
9 202213
10 202211
11 202311
12 202310
13 20249
14 20248
15 20248
16 20248
17 20218
18 20227
19 20227
20 20245

About Junyu Chen

Junyu Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Aerospace Engineering, having authored 35 papers that have together received 488 indexed citations. Recurring topics across this work include Plasma Applications and Diagnostics (10 papers), Plasma Diagnostics and Applications (10 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Medical Imaging Techniques and Applications (6 papers), Aerosol Filtration and Electrostatic Precipitation (5 papers), Electrohydrodynamics and Fluid Dynamics (4 papers), Medical Image Segmentation Techniques (3 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (161 citations), Neurology (65 citations), Computer Vision and Pattern Recognition (72 citations), Computational Mathematics (2 citations) and Health Informatics (4 citations). Junyu Chen has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include M. Flint Beal, John P. Crow, Noel Y. Calingasan, Kaiyue Wu, Pengying Jia, Xuechen Li, Jiacun Wu, Jian Pu, Lichao Jia and Jian Li. Their work appears in journals such as Physics of Plasmas, Medical Physics, International Journal of Surgery, Analytical Chemistry and IEEE Transactions on Applied Superconductivity.

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