Keisuke Usui

575 total citations
34 papers, 418 citations indexed

About

Keisuke Usui is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Biomedical Engineering. According to data from OpenAlex, Keisuke Usui has authored 34 papers receiving a total of 418 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Radiology, Nuclear Medicine and Imaging, 20 papers in Radiation and 11 papers in Biomedical Engineering. Recurrent topics in Keisuke Usui's work include Medical Imaging Techniques and Applications (18 papers), Advanced Radiotherapy Techniques (18 papers) and Advanced X-ray and CT Imaging (9 papers). Keisuke Usui is often cited by papers focused on Medical Imaging Techniques and Applications (18 papers), Advanced Radiotherapy Techniques (18 papers) and Advanced X-ray and CT Imaging (9 papers). Keisuke Usui collaborates with scholars based in Japan, Netherlands and United States. Keisuke Usui's co-authors include Hiroki Ito, Kazuko Fujitani, Daisuke Yamamoto, Satoshi Tanaka, Keiko Shimizu‐Nishikawa, K. Ogawa, Tatsuya Inoue, Hiroyuki Daida, Joachim Widder and Masahiko Koizumi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Keisuke Usui

26 papers receiving 415 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Keisuke Usui Japan 8 189 139 117 107 97 34 418
Anthony Melillo United States 7 51 0.3× 27 0.2× 13 0.1× 98 0.9× 55 0.6× 9 310
Inês Ribeiro United States 5 123 0.7× 87 0.6× 52 0.4× 8 0.1× 24 0.2× 8 455
Bartley Brown United States 8 28 0.1× 25 0.2× 56 0.5× 4 0.0× 70 0.7× 13 349
Philipp D. Lösel Germany 8 10 0.1× 50 0.4× 72 0.6× 21 0.2× 28 0.3× 13 258
James D.B. O’Sullivan United Kingdom 11 26 0.1× 24 0.2× 11 0.1× 11 0.1× 14 0.1× 20 349
Benjamin Titze Switzerland 6 40 0.2× 16 0.1× 9 0.1× 12 0.1× 12 0.1× 6 391
Rachel Patel United States 12 27 0.1× 35 0.3× 24 0.2× 1 0.0× 133 1.4× 20 398
Robert Serafin United States 5 74 0.4× 46 0.3× 33 0.3× 1 0.0× 17 0.2× 11 164
Gianni M. Castiglione Canada 10 88 0.5× 33 0.2× 41 0.4× 51 0.5× 16 468
Manju Patel United States 7 107 0.6× 54 0.4× 18 0.2× 487 5.0× 9 849

Countries citing papers authored by Keisuke Usui

Since Specialization
Citations

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

Fields of papers citing papers by Keisuke Usui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keisuke Usui

This figure shows the co-authorship network connecting the top 25 collaborators of Keisuke Usui. A scholar is included among the top collaborators of Keisuke Usui 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 Keisuke Usui. Keisuke Usui 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
1.
Usui, Keisuke, et al.. (2025). Short-term outcomes of triplet therapy in metastatic hormone-sensitive prostate cancer in older adults: a retrospective, single-center real-world cohort study. International Urology and Nephrology. 57(11). 3543–3551. 1 indexed citations
2.
3.
Usui, Keisuke, et al.. (2025). Scatter and beam hardening effect corrections in pelvic region cone beam CT images using a convolutional neural network. Radiological Physics and Technology. 18(2). 457–468.
4.
Muro, Isao, et al.. (2025). Using Deep Learning to Simultaneously Reduce Noise and Motion Artifacts in Brain MR Imaging. Magnetic Resonance in Medical Sciences. 24(4). n/a–n/a.
5.
Hiyama, Yoshinori, Keisuke Usui, Masami Goto, et al.. (2025). Predicting perceived exertion during high-intensity exercise using quantitative MRI: insights from T2* value and muscle cross-sectional area. Radiological Physics and Technology. 18(3). 746–755. 1 indexed citations
6.
Tachibana, H., Yoshihiko Hoshino, Yusuke Watanabe, et al.. (2024). Quality assurance of magnetic resonance imaging for a polymer gel dosimeter using a 3D-printed phantom. Radiation Physics and Chemistry. 226. 112196–112196.
7.
Hiyama, Yoshinori, Keisuke Usui, Masami Goto, et al.. (2024). Differential T2* changes in tibialis anterior and soleus: Influence of exercise type and perceived exertion. Journal of Biomechanics. 177. 112437–112437. 1 indexed citations
8.
Usui, Keisuke, et al.. (2024). Reducing image artifacts in sparse projection CT using conditional generative adversarial networks. Scientific Reports. 14(1). 3917–3917. 3 indexed citations
9.
Usui, Keisuke & Anneyuko I. Saito. (2024). Radiosensitization treatment using hydrogen peroxide for inoperable rectal cancer. Molecular and Clinical Oncology. 21(4). 68–68.
10.
Usui, Keisuke, Tomoya Hirota, Koji Kimura, et al.. (2023). Atomic structure of ZrO2-doped Li2O–SiO2-based multi-component glasses revealed by molecular dynamics–reverse Monte Carlo modeling. Journal of Non-Crystalline Solids. 616. 122472–122472. 4 indexed citations
11.
Usui, Keisuke, Isao Muro, Masami Goto, et al.. (2023). Evaluation of motion artefact reduction depending on the artefacts’ directions in head MRI using conditional generative adversarial networks. Scientific Reports. 13(1). 8526–8526. 3 indexed citations
12.
Shikama, Naoto, et al.. (2022). Development of deep-inspiration breath-hold system that monitors the position of the chest wall using infrared rangefinder. Journal of Radiation Research. 64(1). 171–179. 1 indexed citations
13.
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Usui, Keisuke, et al.. (2021). Quantitative evaluation of deep convolutional neural network-based image denoising for low-dose computed tomography. SHILAP Revista de lepidopterología. 4(1). 21–21. 17 indexed citations
15.
16.
Usui, Keisuke, et al.. (2018). Effect of region extraction and assigned mass-density values on the accuracy of dose calculation with magnetic resonance-based volumetric arc therapy planning. Radiological Physics and Technology. 11(2). 174–183. 1 indexed citations
17.
Usui, Keisuke, et al.. (2014). An Experimental Study on Attenuation of Radiant Heat Flux from Flame through Water Droplets. Fire Safety Science. 11. 1196–1207. 8 indexed citations
18.
Usui, Keisuke, et al.. (2012). Dose calculation with a cone beam CT image in image-guided radiation therapy. Radiological Physics and Technology. 6(1). 107–114. 19 indexed citations
19.
Okuaki, Tomoyuki, et al.. (2008). Trail of Artifact Reduction in Body Diffusion Weighted Imaging Development and Basic Examination of "TRacking Only Navigator"(TRON method). Japanese Journal of Radiological Technology. 64(9). 1157–1166. 2 indexed citations
20.
Okumura, Yasuhiro, et al.. (2008). Basic Examination of CEMRA with 4D Time-resolved Angiography Using Keyhole (4D-TRAK) in 3T Pelvic Region. Japanese Journal of Radiological Technology. 64(12). 1532–1539. 3 indexed citations

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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