Yoshito Mekada

857 citations
64 papers · 575 indexed · h-index 13
Topics
Radiomics and Machine Learning in Medical Imaging (13 papers)Video Surveillance and Tracking Methods (11 papers)AI in cancer detection (8 papers)
Partner nations
JapanUnited States

In The Last Decade

Yoshito Mekada

55 papers receiving 542 citations

Peers

Yoshito Mekada
Comparison fields: 5 of 76
  • Computer Vision and Pattern Recognition 319
  • Radiology, Nuclear Medicine and Imaging 87
  • Gastroenterology 70
  • Artificial Intelligence 68
  • Media Technology 64
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Citations per year

Countries citing papers authored by Yoshito Mekada

Since Specialization
Citations

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

Fields of papers citing papers by Yoshito Mekada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoshito Mekada

This figure shows the co-authorship network connecting the top 25 collaborators of Yoshito Mekada. A scholar is included among the top collaborators of Yoshito Mekada 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 Yoshito Mekada. Yoshito Mekada 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
#WorkIndexed citations
1 2
2 42
3 13
4 18
5
A study on the prediction of driver's pedestrian detectability considering characteristics of human fields-of-view while driving
3
6 7
7
Ego-Localization Based on Frame Correspondences between In-Vehicle Camera Images and Streetview Database
0
8
On-road Obstacle Detection by Comparing Present and Past In-vehicle Camera Images
12
9
Prediction of driving behavior using driver's gaze information
1
10
A study on image features for visibility estimation of traffic signs using in-vehicle camera
1
11
Recognition of Road Markings from In-Vehicle Camera Images using Generative Learning Method
1
12
Cascaded Traffic Sign Detector Using Generative Learning Considering Color Variance
2
13
Recognition of Very Low-Resolution Characters from Motion Images Taken by Portable Digital Cameras
1
14 2
15
Recognition of low-resolution characters by a generative learning method
13
16 10
17 0
18
Communication System for People with Physical Disability Using Voice Recognizer(Special Section of Papers Selected from ITC-CSCC'97)
0
19
Quantification of vessels convergence in three-dimensional chest X-ray CT images with three-dimensional concentration index
8
20
Efficient IIR filter design for approximation of complex frequency characteristics
2

About Yoshito Mekada

Yoshito Mekada is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Media Technology, having authored 64 papers that have together received 575 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (13 papers), Video Surveillance and Tracking Methods (11 papers) and AI in cancer detection (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (319 citations), Gastroenterology (70 citations) and Health Informatics (13 citations). Yoshito Mekada has collaborated with scholars based in Japan and United States. Frequent co-authors include Ichiro Ide, Hiroshi Murase, Yukimasa Tamatsu, T. Takahashi, Kensaku Mori, Md. Khayrul Bashar, Tomokazu Takahashi, Daisuke Deguchi, Takayuki Kitasaka and Yasuhito Suenaga. Their work appears in journals such as JAMA, Sensors and Pattern Recognition.

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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