Yusuke Matsui

3.2k citations
123 papers · 2.2k · 1 hit paper · h-index 26

Impact in

    • Artificial Intelligence in Healthcare and Education
  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

Yusuke Matsui

113 papers receiving 2.1k citations

Yusuke Matsui's Hit Papers

Fairness of artificial intelligence in healthcare: review and recommendations 2023 · 274 citations
2740+1+2Years since publication50100150200250

Peers

Yusuke Matsui
Comparison fields: 5 of 121
  • Health Informatics 274
  • Hepatology 232
  • Pulmonary and Respiratory Medicine 893
  • Radiology, Nuclear Medicine and Imaging 364
  • Radiation 84
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Fereidoun Abtin United States
Christoph Wald United States
Felix Nensa Germany
J. Titano United States
Martina Sollini Italy
Akira Yamamoto Japan
Maria Vakalopoulou France
Lucian Beer Austria
Roman Kloeckner Germany
Farzad Khalvati Canada
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Citations per year

Countries citing papers authored by Yusuke Matsui

Since Specialization
Citations

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

Fields of papers citing papers by Yusuke Matsui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fairness of artificial intelligence in healthcare: review and recommendations
Hit paper breakdown →
2023274
2 2009181
3 2010163
4 201172
5 200871
6 202465
7 202353
8 202343
9 201442
10 200942
11 201541
12 201440
13 201739
14 201138
15 202437
16 201737
17 201036
18 201534
19 202330
20 201829

About Yusuke Matsui

Yusuke Matsui is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Hepatology and Biomedical Engineering, having authored 123 papers that have together received 2.2k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (20 papers), Lung Cancer Diagnosis and Treatment (17 papers), Hepatocellular Carcinoma Treatment and Prognosis (15 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Advanced X-ray and CT Imaging (10 papers), Artificial Intelligence in Healthcare and Education (6 papers), MRI in cancer diagnosis (5 papers) and Abdominal vascular conditions and treatments (5 papers). The work is most often cited by research in Health Informatics (274 citations), Hepatology (232 citations), Pulmonary and Respiratory Medicine (893 citations), Radiology, Nuclear Medicine and Imaging (364 citations) and Radiation (84 citations). Yusuke Matsui has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Takao Hiraki, Hideo Gobara, Susumu Kanazawa, Toshihiro Iguchi, Hiroyasu Fujiwara, Hidefumi Mimura, Shinichi Toyooka, Jun Sakùrai, Daisaku Inoue and Yasutaka Fushimi. Their work appears in journals such as Diagnostic and Interventional Imaging, Journal of Vascular and Interventional Radiology, CardioVascular and Interventional Radiology, European Radiology and European Journal of Radiology.

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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