Tomoaki Chono

2.0k total citations
3 papers, 18 citations indexed

About

Tomoaki Chono is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Tomoaki Chono has authored 3 papers receiving a total of 18 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Surgery. Recurrent topics in Tomoaki Chono's work include Medical Image Segmentation Techniques (2 papers), Optical measurement and interference techniques (1 paper) and Hemodynamic Monitoring and Therapy (1 paper). Tomoaki Chono is often cited by papers focused on Medical Image Segmentation Techniques (2 papers), Optical measurement and interference techniques (1 paper) and Hemodynamic Monitoring and Therapy (1 paper). Tomoaki Chono collaborates with scholars based in Japan. Tomoaki Chono's co-authors include Hideaki Mori, Toshiaki Hisada, Hirotsugu Yamada, Tsuyoshi Shiina, Seiryo Sugiura, Eriko Tohno, Junichi Okada, Masayasu Ito, Kenya Kusunose and Takumi Washio and has published in prestigious journals such as Medical Image Analysis, European Heart Journal - Cardiovascular Imaging and Journal of Medical Ultrasonics.

In The Last Decade

Tomoaki Chono

3 papers receiving 18 citations

Peers

Tomoaki Chono
Nicoló Savioli United Kingdom
Tomoaki Chono
Citations per year, relative to Tomoaki Chono Tomoaki Chono (= 1×) peers Nicoló Savioli

Countries citing papers authored by Tomoaki Chono

Since Specialization
Citations

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

Fields of papers citing papers by Tomoaki Chono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoaki Chono

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

All Works

3 of 3 papers shown
1.
Washio, Takumi, et al.. (2016). Deformable regions of interest with multiple points for tissue tracking in echocardiography. Medical Image Analysis. 35. 554–569. 6 indexed citations
2.
Kusunose, Kenya, Tomoaki Chono, Tomotsugu Tabata, Hirotsugu Yamada, & Masataka Sata. (2013). Echocardiographic image tracker with a speckle adaptive noise reduction filter for the automatic measurement of the left atrial volume curve. European Heart Journal - Cardiovascular Imaging. 15(5). 509–514. 5 indexed citations
3.
Ito, Masayasu, et al.. (2005). Quantitative evaluation of diagnostic information around the contours in ultrasound images. Journal of Medical Ultrasonics. 32(4). 135–144. 7 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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