Jingyun Shi

1.9k citations
42 papers · 1.3k indexed · 1 hit paper · h-index 16
Topics
Lung Cancer Diagnosis and Treatment (16 papers)Lung Cancer Treatments and Mutations (14 papers)Radiomics and Machine Learning in Medical Imaging (11 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEClinical Cancer Research

In The Last Decade

Jingyun Shi

42 papers receiving 1.3k citations

Hit Papers

Predicting EGFR mutation status in lung adenocarcinoma on...20192026202120232019100200300

Peers

Jingyun Shi
Comparison fields: 5 of 85
  • Pulmonary and Respiratory Medicine 816
  • Radiology, Nuclear Medicine and Imaging 737
  • Oncology 267
  • Biomedical Engineering 168
  • Artificial Intelligence 149
Replace Constantinos Zamboglou with:
Constantinos Zamboglou Germany
Yingli Sun China
Stefanie J. Hectors United States
Marco Calandri Italy
Merina Ahmed United Kingdom
Sung Ui Shin South Korea
Ji Hye Min South Korea
Luca Alessandro Carbonaro Italy
Youichi Kumagai Japan
Sujuan Xi China
Jingyun Shi relative to Constantinos Zamboglou Germany Constantinos Zamboglou's profile →
Citations per field
00.5×2.9×
Constantinos Zamboglou · 1×
Citations per year

Countries citing papers authored by Jingyun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Jingyun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingyun Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Jingyun Shi. A scholar is included among the top collaborators of Jingyun Shi 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 Jingyun Shi. Jingyun Shi 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
#WorkIndexed citations
1 1
2 6
3 9
4 6
5 40
6 10
7 149
8 10
9 2
10 26
11 8
12 108
13 22
14 27
15 77
16 3
17 5
18 29
19 78
20 24

About Jingyun Shi

Jingyun Shi is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (16 papers), Lung Cancer Treatments and Mutations (14 papers) and Radiomics and Machine Learning in Medical Imaging (11 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (737 citations), Pulmonary and Respiratory Medicine (816 citations) and Health Informatics (19 citations). Jingyun Shi has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jie Tian, Di Dong, Zhenyu Liu, Dongdong Yu, Kun Wang, Yongbei Zhu, Mengjie Fang, Olivier Gevaert, Mu Zhou and Zhaoxiang Ye. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Cancer Research.

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

Rankless by CCL
2026