Yuta Hiasa

667 citations
15 papers · 282 indexed · h-index 9
Topics
Advanced X-ray and CT Imaging (7 papers)Medical Imaging Techniques and Applications (4 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)
Partner nations
JapanIran

In The Last Decade

Yuta Hiasa

15 papers receiving 276 citations

Peers

Yuta Hiasa
Comparison fields: 5 of 68
  • Biomedical Engineering 119
  • Surgery 111
  • Radiology, Nuclear Medicine and Imaging 79
  • Computer Vision and Pattern Recognition 71
  • Artificial Intelligence 32
Replace Moritz Ehlke with:
Moritz Ehlke Germany
Felix Ambellan Germany
Alexander Tack Germany
Jérôme Schmid Switzerland
Rafeef Garbi Canada
Leonardo Tanzi Italy
Fuk Tang Hong Kong
Guochen Ning China
Evangelos Georgiou Greece
Nóra Baka Netherlands
Yuta Hiasa relative to Moritz Ehlke Germany Moritz Ehlke's profile →
Citations per field
00.5×1.5×1.9×
Moritz Ehlke · 1×
Citations per year

Countries citing papers authored by Yuta Hiasa

Since Specialization
Citations

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

Fields of papers citing papers by Yuta Hiasa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuta Hiasa

This figure shows the co-authorship network connecting the top 25 collaborators of Yuta Hiasa. A scholar is included among the top collaborators of Yuta Hiasa 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 Yuta Hiasa. Yuta Hiasa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 8
2 1
3 28
4 5
5 55
6 12
7 6
8 20
9 9
10 96
11 6
12 5
13
Automatic segmentation of hip and thigh muscles from CT Images using convolutional neural networks
1
14 11
15 19

About Yuta Hiasa

Yuta Hiasa is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 15 papers that have together received 282 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (7 papers), Medical Imaging Techniques and Applications (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Health Informatics (19 citations), Computer Vision and Pattern Recognition (71 citations) and Radiology, Nuclear Medicine and Imaging (79 citations). Yuta Hiasa has collaborated with scholars based in Japan and Iran. Frequent co-authors include Yoshinobu Sato, Yoshito Otake, Masaki Takao, Nobuhiko Sugano, Taro Oshikiri, Satoshi Suzuki, Yoshihiro Kakeji, Takeru Matsuda, Shingo Kanaji and Tetsu Nakamura. Their work appears in journals such as Scientific Reports, Journal of Biomechanics and IEEE Transactions on Medical Imaging.

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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