Yasushi Hirano

731 total citations
76 papers, 523 citations indexed

About

Yasushi Hirano is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yasushi Hirano has authored 76 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Radiology, Nuclear Medicine and Imaging, 23 papers in Pulmonary and Respiratory Medicine and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yasushi Hirano's work include Radiomics and Machine Learning in Medical Imaging (29 papers), Lung Cancer Diagnosis and Treatment (20 papers) and COVID-19 diagnosis using AI (15 papers). Yasushi Hirano is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (29 papers), Lung Cancer Diagnosis and Treatment (20 papers) and COVID-19 diagnosis using AI (15 papers). Yasushi Hirano collaborates with scholars based in Japan, China and United States. Yasushi Hirano's co-authors include Shoji Kido, Shingo Mabu, Hyoung Seop Kim, Shoji Kajita, Kenji Mase, Yoichi Tsumuraya, Yohichi Hashimoto, Satoshi Tanaka, Huimin Lu and Kazuyoshi Suga and has published in prestigious journals such as The Journal of the Acoustical Society of America, Physiologia Plantarum and Advances in experimental medicine and biology.

In The Last Decade

Yasushi Hirano

69 papers receiving 509 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yasushi Hirano Japan 13 266 209 119 68 67 76 523
K. Gunavathi India 11 254 1.0× 164 0.8× 178 1.5× 75 1.1× 47 0.7× 38 547
Qingling Sun China 7 213 0.8× 55 0.3× 248 2.1× 324 4.8× 51 0.8× 16 646
Weiwei Zheng China 8 121 0.5× 31 0.1× 129 1.1× 25 0.4× 39 0.6× 33 450
Jianjiang Feng China 10 377 1.4× 44 0.2× 219 1.8× 257 3.8× 128 1.9× 13 694
Ruikai Zhang China 10 253 1.0× 84 0.4× 249 2.1× 153 2.3× 64 1.0× 16 585
José Marquês Soares Brazil 9 155 0.6× 152 0.7× 71 0.6× 90 1.3× 41 0.6× 30 427
Paul Liu United States 8 94 0.4× 155 0.7× 38 0.3× 82 1.2× 49 0.7× 26 332
Gulistan Raja Pakistan 12 272 1.0× 78 0.4× 101 0.8× 177 2.6× 69 1.0× 58 570
Yijie Zhang China 10 44 0.2× 25 0.1× 131 1.1× 125 1.8× 31 0.5× 33 417

Countries citing papers authored by Yasushi Hirano

Since Specialization
Citations

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

Fields of papers citing papers by Yasushi Hirano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasushi Hirano

This figure shows the co-authorship network connecting the top 25 collaborators of Yasushi Hirano. A scholar is included among the top collaborators of Yasushi Hirano 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 Yasushi Hirano. Yasushi Hirano 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.
2.
Chen, Xu, Yasushi Hirano, & Shoji Kido. (2020). Detection of lung nodules on CT images by use of YOLO. IEICE Technical Report; IEICE Tech. Rep.. 119(399). 61–65. 1 indexed citations
3.
Kido, Shoji, et al.. (2019). Segmentation for diffuse lung disease opacities on CT images using U-Net and residual U-Net. IEICE Technical Report; IEICE Tech. Rep.. 118(412). 175–179. 1 indexed citations
4.
Tanaka, Takahisa, Huimin Lu, Joo Kooi Tan, et al.. (2017). Detection of lung nodules on temporal subtraction images Using 3D sparse coding. 1455–1457. 1 indexed citations
5.
Lu, Huimin, Hyoung Seop Kim, Seiichi Murakami, et al.. (2017). Automatic classification of lung nodules on MDCT images with the temporal subtraction technique. International Journal of Computer Assisted Radiology and Surgery. 12(10). 1789–1798. 16 indexed citations
6.
Kido, Shoji & Yasushi Hirano. (2013). Texture Analysis of Hepatic Fibrosis in CT Images. 51. 1 indexed citations
7.
Ishikawa, Seiji, et al.. (2012). A Temporal Subtraction Technique for 3-D Non-rigid Warping Method Based on Free Form Deformation from Thoracic MDCT Image. IEICE Technical Report; IEICE Tech. Rep.. 112(271). 11–16. 1 indexed citations
8.
Xu, Rui, et al.. (2012). A Computer-aided Diagnosis Method for Classification of Pneumoconiosis Patterns on HRCT Images. IEICE technical report. Speech. 112(271). 29–34.
9.
Zhou, Xiangrong, et al.. (2012). Improvement of MDL Method by Adaptive Sampling on Spherical Parameter Space. IEICE Technical Report; IEICE Tech. Rep.. 111(389). 173–178. 1 indexed citations
10.
Hirano, Yasushi, et al.. (2010). Computer analysis system of the physician‐patient consultation process. International Journal of Health Care Quality Assurance. 23(4). 378–399. 4 indexed citations
11.
Yanai, Toshimasa, et al.. (2010). A New Approach for Assessing Kinematics of Torso Twist in Baseball Batting: A Preliminary Report. ISBS - Conference Proceedings Archive. 1(1). 1 indexed citations
12.
Ishihara, Kazuyuki, et al.. (2008). An Evaluation on the Recommendation Method for Personal Taste Recipe Based on the FF-IRF. IEICE Technical Report; IEICE Tech. Rep.. 107(454). 51–56. 2 indexed citations
13.
Hirano, Yasushi, et al.. (2008). Smart Card Authentication System accessing Roaming User Profile Folders on Samba File Server. IPSJ SIG Notes. 2008(21). 7–12. 1 indexed citations
14.
Tehrani, Mehrdad Panahpour, Kenta Niwa, Norishige Fukushima, et al.. (2008). 3DAV integrated system featuring arbitrary listening-point and viewpoint generation. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 6490. 855–860. 7 indexed citations
15.
Tehrani, Mehrdad Panahpour, Yasushi Hirano, Toshiaki Fujii, et al.. (2007). AN INTEGRATED AUDIO-VISUAL VIEWER FOR A LARGE SCALE MULTIPOINT CAMERAS AND MICROPHONES. 106(448). 223–226. 1 indexed citations
16.
Hirano, Yasushi, Jun‐ichi Hasegawa, Jun‐ichiro Toriwaki, Hironobu Ohmatsu, & Kenji Eguchi. (2003). Analysis of the Relationship between Lung Arteries and Pleura Using 3D Extended Voronoi Tessellation. IEICE technical report. Speech. 102(576). 43–47.
17.
Kondo, Masaki, Yasushi Hirano, Jun‐ichi Hasegawa, et al.. (2000). Classification of tumors in chest X-ray CT images into the solid and air-containing type and its application to discrimination of the benign and malignant tumors. IEICE technical report. Speech. 100(46). 27–32. 2 indexed citations
18.
Hirano, Yasushi, Jun‐ichiro Toriwaki, Yoshito Mekada, et al.. (1997). Quantification of vessels convergence in three-dimensional chest X-ray CT images with three-dimensional concentration index. 15(3). 228–236. 8 indexed citations
19.
Hirano, Yasushi, et al.. (1991). Reactivity Effect of Non-Uniformly Distributed Fuel in Fuel Solution Systems.. Journal of Nuclear Science and Technology. 28(7). 595–607. 4 indexed citations
20.
Fukunaga, M, et al.. (1989). [Accumulation of 99mTc-phosphorous compounds uptake by liver tumors].. PubMed. 26(4). 559–63. 1 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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