Jun Chen

5.2k total citations · 1 hit paper
216 papers, 2.9k citations indexed

About

Jun Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Jun Chen has authored 216 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Radiology, Nuclear Medicine and Imaging, 49 papers in Pulmonary and Respiratory Medicine and 42 papers in Epidemiology. Recurrent topics in Jun Chen's work include Radiomics and Machine Learning in Medical Imaging (25 papers), Hepatocellular Carcinoma Treatment and Prognosis (17 papers) and MRI in cancer diagnosis (14 papers). Jun Chen is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (25 papers), Hepatocellular Carcinoma Treatment and Prognosis (17 papers) and MRI in cancer diagnosis (14 papers). Jun Chen collaborates with scholars based in China, United States and United Kingdom. Jun Chen's co-authors include Hong Bu, Long-Hai Feng, Yu-Yao Zhu, Hui Dong, Wen‐Ming Cong, Jie Chen, Padmaja Magadala, Betty Chang, Jeremy Sokolove and Michelle Francesco and has published in prestigious journals such as Physical Review Letters, Circulation and Nature Communications.

In The Last Decade

Jun Chen

191 papers receiving 2.8k citations

Hit Papers

Practice guidelines for the pathological diagnosis of pri... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers

Jun Chen
Comparison fields: 5 of 166
  • Radiology, Nuclear Medicine and Imaging 644
  • Pulmonary and Respiratory Medicine 619
  • Molecular Biology 514
  • Surgery 466
  • Hepatology 368
Replace Yu Shi with:
Yu Shi China
Ailian Liu China
Kwon‐Ha Yoon South Korea
Chiung‐Nien Chen Taiwan
Atsushi Kawaguchi Japan
Jian Liang China
Jung Bok Lee South Korea
Hong Zhang China
Hongyu Wang China
Hong Shen China
Yu Shi China View profile →
Citations per field, relative to Jun Chen
Jun Chen · 1×
Citations per year, relative to Jun Chen
Jun Chen · 1×

Countries citing papers authored by Jun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Chen. A scholar is included among the top collaborators of Jun Chen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Chen. Jun Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 2
4 0
5 2
6 6
7 12
8 2
9 8
10 6
11 0
12 2
13 7
14 4
15 11
16 9
17 23
18 5
19 52
20 18

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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