Tomoharu Kiyuna

507 total citations
29 papers, 396 citations indexed

About

Tomoharu Kiyuna is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Tomoharu Kiyuna has authored 29 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Tomoharu Kiyuna's work include AI in cancer detection (21 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Digital Imaging for Blood Diseases (7 papers). Tomoharu Kiyuna is often cited by papers focused on AI in cancer detection (21 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Digital Imaging for Blood Diseases (7 papers). Tomoharu Kiyuna collaborates with scholars based in Japan, United States and United Kingdom. Tomoharu Kiyuna's co-authors include Akira Saito, Hiroshi Yoshida, Eric Cosatto, Yoshiko Yamashita, Masahiko Kuroda, Kosuke Oikawa, Atsushi Ochiai, Hideyuki Tanabe, Hirokazu Taniguchi and Keiichi Yoshida and has published in prestigious journals such as NeuroImage, Biochemical and Biophysical Research Communications and Journal of Cell Science.

In The Last Decade

Tomoharu Kiyuna

29 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomoharu Kiyuna Japan 9 161 138 115 85 57 29 396
Ken Takasawa Japan 15 142 0.9× 188 1.4× 264 2.3× 50 0.6× 25 0.4× 27 652
Jerome Cheng United States 14 305 1.9× 185 1.3× 117 1.0× 101 1.2× 75 1.3× 49 627
Sara Kuntz Germany 6 86 0.5× 107 0.8× 53 0.5× 80 0.9× 11 0.2× 7 303
Ksenija Kanjer Serbia 13 93 0.6× 103 0.7× 90 0.8× 110 1.3× 34 0.6× 32 336
Felipe Giuste United States 11 94 0.6× 82 0.6× 225 2.0× 29 0.3× 13 0.2× 36 519
Satoko Takemoto Japan 8 45 0.3× 69 0.5× 176 1.5× 70 0.8× 38 0.7× 24 350
Eun-Yeong Oh United States 6 67 0.4× 91 0.7× 85 0.7× 36 0.4× 40 0.7× 8 364
Adrian Gherman United States 7 41 0.3× 80 0.6× 95 0.8× 16 0.2× 44 0.8× 10 295
Matthias Jung Germany 12 52 0.3× 134 1.0× 86 0.7× 47 0.6× 16 0.3× 40 460

Countries citing papers authored by Tomoharu Kiyuna

Since Specialization
Citations

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

Fields of papers citing papers by Tomoharu Kiyuna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoharu Kiyuna

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoharu Kiyuna. A scholar is included among the top collaborators of Tomoharu Kiyuna 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 Tomoharu Kiyuna. Tomoharu Kiyuna 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.
Kiyuna, Tomoharu, Eric Cosatto, Kanako C. Hatanaka, et al.. (2024). Evaluating Cellularity Estimation Methods: Comparing AI Counting with Pathologists’ Visual Estimates. Diagnostics. 14(11). 1115–1115. 2 indexed citations
2.
Osamura, R. Yoshiyuki, et al.. (2021). Digital/Computational Technology for Molecular Cytology Testing: A Short Technical Note with Literature Review. Acta Cytologica. 65(4). 342–347. 3 indexed citations
3.
Yoshida, Hiroshi & Tomoharu Kiyuna. (2021). Requirements for implementation of artificial intelligence in the practice of gastrointestinal pathology. World Journal of Gastroenterology. 27(21). 2818–2833. 21 indexed citations
4.
Kiyuna, Tomoharu, et al.. (2020). Impact of blurs on machine-learning aided digital pathology image analysis. 1(1). 31–38. 7 indexed citations
5.
Yoshida, Hiroshi, Hideo Yokota, Rajendra Singh, et al.. (2019). Meeting Report: The International Workshop on Harmonization and Standardization of Digital Pathology Image, Held on April 4, 2019 in Tokyo. Pathobiology. 86(5-6). 322–324. 3 indexed citations
6.
Yoshida, Hiroshi, Taichi Shimazu, Tomoharu Kiyuna, et al.. (2017). Automated histological classification of whole-slide images of gastric biopsy specimens. Gastric Cancer. 21(2). 249–257. 77 indexed citations
7.
Oikawa, Kosuke, Akira Saito, Tomoharu Kiyuna, et al.. (2017). Pathological Diagnosis of Gastric Cancers with a Novel Computerized Analysis System. Journal of Pathology Informatics. 8(1). 5–5. 16 indexed citations
8.
Kanazawa, Hiroshi, Yuri Murakami, Masahiro Yamaguchi, et al.. (2015). Enhancing automatic classification of hepatocellular carcinoma images through image masking, tissue changes and trabecular features. Journal of Pathology Informatics. 6(1). 26–26. 9 indexed citations
9.
Murakami, Yuri, Tokiya Abe, Yoshiko Yamashita, et al.. (2014). Color processing in pathology image analysis system for liver biopsy. Color and Imaging Conference. 22(1). 184–188. 2 indexed citations
10.
Yamashita, Yoshiko, Tomoharu Kiyuna, Michiie Sakamoto, et al.. (2014). Development of a Prototype for Hepatocellular Carcinoma Classification Based on Morphological Features Automatically Measured in Whole Slide Images. Analytical Cellular Pathology. 2014. 1–2. 6 indexed citations
11.
Abe, Tokiya, Yuri Murakami, Yoshiko Yamashita, et al.. (2014). Whole Slide Image Analysis System for Quantification of Liver Fibrosis. Analytical Cellular Pathology. 2014. 1–2. 1 indexed citations
12.
Saito, Akira, Eric Cosatto, Tomoharu Kiyuna, & Michiie Sakamoto. (2013). Dawn of the digital diagnosis assisting system, can it open a new age for pathology?. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 8676. 867602–867602. 8 indexed citations
13.
Kerr, Elizabeth, Tomoharu Kiyuna, Shelagh Boyle, et al.. (2010). Changes in chromatin structure during processing of wax-embedded tissue sections. Chromosome Research. 18(6). 677–688. 6 indexed citations
14.
Oikawa, Kosuke, Keiichi Yoshida, Masakatsu Takanashi, et al.. (2008). Dioxin interferes in chromosomal positioning through the aryl hydrocarbon receptor. Biochemical and Biophysical Research Communications. 374(2). 361–364. 4 indexed citations
15.
Kiyuna, Tomoharu, Akira Saito, Elizabeth Kerr, & Wendy A. Bickmore. (2008). Characterization of chromatin texture by contour complexity for cancer cell classification. 30. 1–6. 6 indexed citations
16.
Kuroda, Masahiko, Hideyuki Tanabe, Keiichi Yoshida, et al.. (2004). Alteration of chromosome positioning during adipocyte differentiation. Journal of Cell Science. 117(24). 5897–5903. 95 indexed citations
17.
Kamijo, Kenichi, et al.. (2002). Visual Event-Related Potentials During Movement Imagery and the Dipole Analysis. Brain Topography. 14(4). 279–292. 7 indexed citations
18.
Ochi, Ayako, Hiroshi Otsubo, Rohit Sharma, et al.. (2002). Electroencephalographic Dipoles of Spikes With and Without Myoclonic Jerks Caused by Epilepsia Partialis Continua. Journal of Child Neurology. 17(2). 127–131. 4 indexed citations
19.
Kiyuna, Tomoharu, Kenichi Kamijo, Toshimasa Yamazaki, Noriyuki Moriyama, & Ryuzo Sekiguchi. (2001). Automated reconstruction of a three-dimensional brain model from magnetic resonance images. NeuroImage. 13(6). 173–173. 1 indexed citations
20.
Yamazaki, Toshimasa, et al.. (2001). Multiple Dipole Analysis of Visual Event-Related Potentials During Oddball Paradigm with Silent Counting. Brain Topography. 13(3). 161–168. 28 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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