Ren Togo

946 citations
136 papers · 581 · h-index 12

Impact in

Papers in

    • Multimodal Machine Learning Applications 37
    • Advanced Image and Video Retrieval Techniques 32
    • Generative Adversarial Networks and Image Synthesis 15
    • Image Retrieval and Classification Techniques 13
    • Video Analysis and Summarization 12
    • Domain Adaptation and Few-Shot Learning 22

Ren Togo

110 papers receiving 562 citations

Peers

Ren Togo
Comparison fields: 5 of 95
  • Computer Vision and Pattern Recognition 211
  • Artificial Intelligence 212
  • Radiology, Nuclear Medicine and Imaging 133
  • Health Informatics 5
  • Media Technology 27
Replace Qingyao Wu with:
Qingyao Wu China
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Ibtissam Bakkouri Morocco
Muyi Sun China
Shuchao Pang China
L. Jani Anbarasi India
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Citations per field
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Citations per year

Countries citing papers authored by Ren Togo

Since Specialization
Citations

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

Fields of papers citing papers by Ren Togo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ren Togo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ren Togo Line = papers co-authored together Ren Togo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201839
2 202134
3 201830
4 202223
5 202222
6 201921
7 202219
8 201914
9 202213
10 202212
11 202212
12 202011
13 202010
14 202010
15 201910
16 20239
17 20219
18 20209
19 20219
20 20229

About Ren Togo

Ren Togo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Signal Processing and Civil and Structural Engineering, having authored 136 papers that have together received 581 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (37 papers), Advanced Image and Video Retrieval Techniques (32 papers), Domain Adaptation and Few-Shot Learning (22 papers), Generative Adversarial Networks and Image Synthesis (15 papers), Image Retrieval and Classification Techniques (13 papers), Video Analysis and Summarization (12 papers), COVID-19 diagnosis using AI (11 papers) and Music and Audio Processing (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (211 citations), Artificial Intelligence (212 citations), Radiology, Nuclear Medicine and Imaging (133 citations), Health Informatics (5 citations) and Media Technology (27 citations). Ren Togo has collaborated with scholars based in Japan, Italy and United States. Frequent co-authors include Takahiro Ogawa, Guang Li, Keisuke Maeda, Zongyao Li, Kenji Hirata, Osamu Manabe, Tohru Shiga, Kohsuke Kudo, Mototsugu Kato and Kazuhiro Kitajima. Their work appears in journals such as Sensors, IEEE Access, Computers in Biology and Medicine, ITE Transactions on Media Technology and Applications and International Journal of Computer Assisted Radiology and Surgery.

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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