Fajin Dong

1.9k citations
99 papers · 1.0k indexed · 1 hit paper · h-index 15

Impact in

Papers in

Fajin Dong

86 papers receiving 1000 citations

Hit Papers

Segment anything model for medical images? 2023 · 215 citations
215202320262024202550100150200

Peers

Fajin Dong
Comparison fields: 5 of 129
  • Health Informatics 61
  • Radiology, Nuclear Medicine and Imaging 335
  • Cardiology and Cardiovascular Medicine 148
  • Computer Vision and Pattern Recognition 111
  • Artificial Intelligence 174
Replace Alexander D. Weston with:
Alexander D. Weston United States
Theresa Thai United States
Hiroyuki Sugimori Japan
Rohit Ghosh United States
Jaron Chong Canada
Rebecca E. Thornhill Canada
Massimo Salvi Italy
Chui-Mei Tiu Taiwan
Hyunna Lee South Korea
Young Jun Chai South Korea
Fajin Dong relative to Alexander D. Weston United States Alexander D. Weston's profile →
Citations per field
00.5×10×14×
Alexander D. Weston · 1×
Citations per year

Countries citing papers authored by Fajin Dong

Since Specialization
Citations

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

Fields of papers citing papers by Fajin Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20246
4 20241
5 20241
6 20241
7 20240
8 20243
9 202311
10 20233
11 202333
12 20232
13 20232
14 202218
15 20218
16 20219
17 20211
18 20196
19 20187
20 20157

About Fajin Dong

Fajin Dong is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging, Equine, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 99 papers that have together received 1.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (26 papers), Photoacoustic and Ultrasonic Imaging (22 papers), AI in cancer detection (17 papers), Ultrasound and Hyperthermia Applications (12 papers), Ultrasound Imaging and Elastography (9 papers), Infrared Thermography in Medicine (8 papers), Cerebrovascular and Carotid Artery Diseases (8 papers) and Cardiovascular Health and Disease Prevention (6 papers). The work is most often cited by research in Health Informatics (61 citations), Radiology, Nuclear Medicine and Imaging (335 citations), Cardiology and Cardiovascular Medicine (148 citations), Computer Vision and Pattern Recognition (111 citations) and Artificial Intelligence (174 citations). Fajin Dong has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jinfeng Xu, Huaiyu Wu, Jing Xu, Zongyi Xie, Zhen Lin, Zhipeng Wu, Ning Sun, Yuting Duan, Kejuan Yue and Sijing Liu. Their work appears in journals such as Academic Radiology, Photoacoustics, Journal of Ultrasound in Medicine, Clinical Breast Cancer and Ultrasound in Medicine & Biology.

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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