Takayuki Ishida

2.3k total citations
105 papers, 1.6k citations indexed

About

Takayuki Ishida 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, Takayuki Ishida has authored 105 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Radiology, Nuclear Medicine and Imaging, 27 papers in Pulmonary and Respiratory Medicine and 25 papers in Computer Vision and Pattern Recognition. Recurrent topics in Takayuki Ishida's work include Lung Cancer Diagnosis and Treatment (22 papers), Radiomics and Machine Learning in Medical Imaging (22 papers) and COVID-19 diagnosis using AI (18 papers). Takayuki Ishida is often cited by papers focused on Lung Cancer Diagnosis and Treatment (22 papers), Radiomics and Machine Learning in Medical Imaging (22 papers) and COVID-19 diagnosis using AI (18 papers). Takayuki Ishida collaborates with scholars based in Japan, United States and United Kingdom. Takayuki Ishida's co-authors include Shigehiko Katsuragawa, Heber MacMahon, Junko Ota, Kunio Doi, Kazuto Ashizawa, Kunio Doi, Roger Engelmann, Katsumi Nakamura, Yoshinori Tanabe and Hiroyuki Yoshida and has published in prestigious journals such as Scientific Reports, Radiology and Biophysical Journal.

In The Last Decade

Takayuki Ishida

94 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takayuki Ishida Japan 22 1.0k 704 351 289 258 105 1.6k
Liyuan Chen China 22 833 0.8× 321 0.5× 266 0.8× 218 0.8× 376 1.5× 89 1.5k
Hans Roehrig United States 23 859 0.8× 910 1.3× 263 0.7× 404 1.4× 377 1.5× 151 1.9k
Du‐Yih Tsai Japan 14 485 0.5× 450 0.6× 188 0.5× 317 1.1× 408 1.6× 59 1.2k
Jason Dowling Australia 24 1.7k 1.6× 550 0.8× 381 1.1× 437 1.5× 662 2.6× 129 2.7k
Yipeng Hu United Kingdom 24 1.1k 1.1× 938 1.3× 474 1.4× 871 3.0× 617 2.4× 91 2.7k
Lena Costaridou Greece 18 850 0.8× 380 0.5× 715 2.0× 506 1.8× 262 1.0× 86 1.5k
Lukas Ebner Switzerland 22 1.5k 1.4× 939 1.3× 604 1.7× 304 1.1× 362 1.4× 101 2.9k
Xiaokun Liang China 18 910 0.9× 237 0.3× 181 0.5× 268 0.9× 506 2.0× 71 1.3k
Yuan Xu China 22 999 1.0× 122 0.2× 314 0.9× 257 0.9× 544 2.1× 82 1.7k
Mark J. Gooding United Kingdom 21 1.1k 1.1× 378 0.5× 252 0.7× 197 0.7× 453 1.8× 64 1.6k

Countries citing papers authored by Takayuki Ishida

Since Specialization
Citations

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

Fields of papers citing papers by Takayuki Ishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takayuki Ishida

This figure shows the co-authorship network connecting the top 25 collaborators of Takayuki Ishida. A scholar is included among the top collaborators of Takayuki Ishida 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 Takayuki Ishida. Takayuki Ishida 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.
Nagatani, Yukihiro, et al.. (2025). Development of a No-Reference CT Image Quality Assessment Method Using RadImageNet Pre-trained Deep Learning Models. Journal of Imaging Informatics in Medicine. 39(1). 46–58. 1 indexed citations
2.
Nagatani, Yukihiro, et al.. (2023). Applicability Evaluation of Full-Reference Image Quality Assessment Methods for Computed Tomography Images. Journal of Digital Imaging. 36(6). 2623–2634. 16 indexed citations
3.
Yamamoto, Kōichi, Rie Tomizawa, Szilvia Mészáros, et al.. (2022). Utilizing Graphical Analysis of Chest Radiographs for Primary Screening of Osteoporosis. Medicina. 58(12). 1765–1765. 2 indexed citations
4.
Fukuda, Seisuke, et al.. (2020). Thermal Cycle Tests of CLCC Solder Joints: Influence of Substrate, Solder, and Pad Patterns. TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES AEROSPACE TECHNOLOGY JAPAN. 18(3). 51–56. 2 indexed citations
5.
6.
Tanabe, Yoshinori, et al.. (2019). Evaluation of the correlation between prostatic displacement and rectal deformation using the Dice similarity coefficient of the rectum. Medical dosimetry. 44(4). e39–e43. 23 indexed citations
8.
Okada, Satoshi, Hiroyuki Kamata, Keiki Takadama, et al.. (2017). Detection of the Position and the Size of Craters using Principal Component Analysis and its Evaluations. 17(0). 61–67. 2 indexed citations
9.
Näppi, Janne J., et al.. (2017). Deep ensemble learning of virtual endoluminal views for polyp detection in CT colonography. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10134. 101340G–101340G. 6 indexed citations
10.
Ishida, Takayuki, et al.. (2016). Deblurring Algorithm for Blurred Images Caused by Patient Motion in Radiography. Japanese Journal of Radiological Technology. 72(10). 961–969. 1 indexed citations
11.
Yamamoto, Kouichi, Naoto Kato, Yukihiro Isogai, et al.. (2015). Induction and antagonism of pica induced by teriparatide in rats. European Journal of Pharmacology. 764. 457–462. 6 indexed citations
12.
Ishida, Takayuki, et al.. (2010). Computerized Analysis of Pneumoconiosis in Digital Chest Radiography: Effect of Artificial Neural Network Trained with Power Spectra. Journal of Digital Imaging. 24(6). 1126–1132. 25 indexed citations
13.
Smith, Alfred R., Michael T. Gillin, Martin Bues, et al.. (2009). The M. D. Anderson proton therapy system. Medical Physics. 36(9Part1). 4068–4083. 143 indexed citations
14.
Harada, Kengo, et al.. (2003). Detection of Acute Cerebral Infarction by Dual Echo Subtraction Technique in MR Imaging. Japanese Journal of Radiological Technology. 59(5). 656–662. 1 indexed citations
15.
Abé, Hiroyuki, Heber MacMahon, Roger Engelmann, et al.. (2003). Computer-aided Diagnosis in Chest Radiography: Results of Large-Scale Observer Tests at the 1996–2001 RSNA Scientific Assemblies. Radiographics. 23(1). 255–265. 58 indexed citations
16.
Ishida, Takayuki, Hidetaka Arimura, Shigehiko Katsuragawa, et al.. (2003). Report on the Radiological Society of North America 88th Scientific Assembly and Annual Meeting. Japanese Journal of Radiological Technology. 59(3). 396–397.
17.
Ishida, Takayuki. (2000). 2.The Basis of Image Processing, Feature Analysis and Performance Test for CAD Study. Japanese Journal of Radiological Technology. 56(3). 363–369. 2 indexed citations
18.
Ishida, Takayuki, Shigehiko Katsuragawa, Kazuto Ashizawa, Heber MacMahon, & Kunio Doi. (1998). Application of artificial neural networks for quantitative analysis of image data in chest radiographs for detection of interstitial lung disease. Journal of Digital Imaging. 11(4). 182–192. 21 indexed citations
19.
Nakanishi, Katsuyuki, Shuji Horibe, Yoshiki Shiozaki, et al.. (1997). MRI of normal anterior cruciate ligament (ACL) and reconstructed ACL: comparison of when the knee is extended with when the knee is flexed. European Radiology. 7(7). 1020–1024. 13 indexed citations
20.
Ishida, Takayuki, et al.. (1990). MEASUREMENTS OF MTF BY MEANS OF DIGITIZED IMAGE DATA. Japanese Journal of Radiological Technology. 46(1). 22–28.

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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