Youmin Guo

782 citations
31 papers · 579 · h-index 10

Impact in

    • MRI in cancer diagnosis
    • COVID-19 diagnosis using AI
    • Radiomics and Machine Learning in Medical Imaging
    • Advanced Neuroimaging Techniques and Applications
    • Cardiac Imaging and Diagnostics
    • Advanced MRI Techniques and Applications

Papers in

Youmin Guo

31 papers receiving 564 citations

Peers

Youmin Guo
Comparison fields: 5 of 56
  • Health Informatics 34
  • Radiology, Nuclear Medicine and Imaging 455
  • Infectious Diseases 52
  • Critical Care and Intensive Care Medicine 13
  • Health Information Management 13
Replace Zhenchao Tang with:
Zhenchao Tang China
Chiara D. Arru United States
Yazdan Salimi Switzerland
Zeno Falaschi Italy
Victor Savevski Italy
Ivan A. Blokhin Russia
Nishanth Arun United States
Dariush Askari Iran
Jocelyn Zhu United States
Emi Yamaga Japan
Youmin Guo relative to Zhenchao Tang China Zhenchao Tang's profile →
Citations per field
00.5×10×13×
Zhenchao Tang · 1×
Citations per year

Countries citing papers authored by Youmin Guo

Since Specialization
Citations

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

Fields of papers citing papers by Youmin Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010177
2 2020115
3 202059
4 201136
5 202035
6 201031
7 201227
8 200715
9 202214
10 201414
11 20209
12 20208
13 20215
14 20195
15 20174
16 20204
17 20184
18 20202
19 20172
20 20052

About Youmin Guo

Youmin Guo is a scholar working on Radiology, Nuclear Medicine and Imaging, Infectious Diseases, Biomedical Engineering, Molecular Biology and Oncology, having authored 31 papers that have together received 579 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), COVID-19 Clinical Research Studies (5 papers), Advanced X-ray and CT Imaging (3 papers), Radiation Dose and Imaging (3 papers), Cardiac Imaging and Diagnostics (3 papers), MRI in cancer diagnosis (2 papers) and Advanced Radiotherapy Techniques (1 paper). The work is most often cited by research in Health Informatics (34 citations), Radiology, Nuclear Medicine and Imaging (455 citations), Infectious Diseases (52 citations), Critical Care and Intensive Care Medicine (13 citations) and Health Information Management (13 citations). Youmin Guo has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qian Wu, Xin Chen, Wenling Li, Yili Zhang, Cong Shen, Gang Niu, Shubo Cai, Nan Yu, Jie Zhou and Kang Liu. Their work appears in journals such as Journal of X-Ray Science and Technology, Academic Radiology, BMC Cancer, European Radiology and Radiation Protection Dosimetry.

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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