World's Best Scientists 2026 revealed!
Toshihiko Yamasaki

Toshihiko Yamasaki

D-Index & Metrics

Computer Science

D-Index
36
Citations
6506
World Ranking
11141
National Ranking
165

Toshihiko Yamasaki publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Toshihiko Yamasaki sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 522 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Toshihiko Yamasaki D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Toshihiko Yamasaki sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Toshihiko Yamasaki is affiliated with the University of Tokyo in Japan. Their research contributions are primarily in the field of Computer Science, with a particular focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Cognitive Neuroscience, and Computational Mechanics.

The scientist's work spans a variety of main research topics including:

  • Generative Adversarial Networks and Image Synthesis
  • Advanced Neural Network Applications
  • Adversarial Robustness in Machine Learning
  • Image Retrieval and Classification Techniques
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Video Surveillance and Tracking Methods

Yamasaki has published extensively, with a notable presence in venues such as:

  • arXiv (Cornell University)
  • IEEE Access
  • IEICE Transactions on Information and Systems
  • Multimedia Tools and Applications
  • Proceedings of the AAAI Conference on Artificial Intelligence

Recent papers illustrate a focus on image and video processing challenges, including:

  • "Detecting Deepfakes with Self-Blended Images" (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Software" (2020), published in the Proceedings of the AAAI Conference on Artificial Intelligence
  • "Learning From Synthetic Shadows for Shadow Detection and Removal" (2020), in IEEE Transactions on Circuits and Systems for Video Technology
  • "An Improved Inter-Intra Contrastive Learning Framework on Self-Supervised Video Representation" (2022), IEEE Transactions on Circuits and Systems for Video Technology
  • "Learning Where to Learn in Cross-View Self-Supervised Learning" (2022), presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

The scientist frequently collaborates with several co-authors, including:

  • Xueting Wang
  • Hiroshi Kera
  • Soichiro Kumano
  • Subhajit Chaudhury
  • Ling Xiao

Best Publications

  • Sketch-based manga retrieval using manga109 dataset

    Yusuke Matsui;Kota Ito;Yuji Aramaki;Toshihiko Yamasaki

  • Sketch-based Manga Retrieval using Manga109 Dataset

    Yusuke Matsui;Kota Ito;Yuji Aramaki;Toshihiko Yamasaki

  • Joint Optimization Framework for Learning with Noisy Labels

    Daiki Tanaka;Daiki Ikami;Toshihiko Yamasaki;Kiyoharu Aizawa

  • Cross-Domain Weakly-Supervised Object Detection Through Progressive Domain Adaptation

    Naoto Inoue;Ryosuke Furuta;Toshihiko Yamasaki;Kiyoharu Aizawa

  • Efficient retrieval of life log based on context and content

    Kiyoharu Aizawa;Datchakorn Tancharoen;Shinya Kawasaki;Toshihiko Yamasaki

  • Manga109 dataset and creation of metadata

    Azuma Fujimoto;Toru Ogawa;Kazuyoshi Yamamoto;Yusuke Matsui

  • FoodLog: capture, analysis and retrieval of personal food images via web

    Keigo Kitamura;Toshihiko Yamasaki;Kiyoharu Aizawa

  • PixelRL: Fully Convolutional Network With Reinforcement Learning for Image Processing

    Ryosuke Furuta;Naoto Inoue;Toshihiko Yamasaki

  • Food log by analyzing food images

    Keigo Kitamura;Toshihiko Yamasaki;Kiyoharu Aizawa

  • Practical experience recording and indexing of Life Log video

    Datchakorn Tancharoen;Toshihiko Yamasaki;Kiyoharu Aizawa

  • Affective Audio-Visual Words and Latent Topic Driving Model for Realizing Movie Affective Scene Classification

    G Irie;T Satou;A Kojima;T Yamasaki

  • Joint Optimization Framework for Learning with Noisy Labels

    Daiki Tanaka;Daiki Ikami;Toshihiko Yamasaki;Kiyoharu Aizawa

  • Mask-SLAM: Robust Feature-Based Monocular SLAM by Masking Using Semantic Segmentation

    Masaya Kaneko;Kazuya Iwami;Torn Ogawa;Toshihiko Yamasaki

  • Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Software

    Satoshi Kosugi;Toshihiko Yamasaki

  • Image-based indoor positioning system: fast image matching using omnidirectional panoramic images

    Hisato Kawaji;Koki Hatada;Toshihiko Yamasaki;Kiyoharu Aizawa

  • Analog soft-pattern-matching classifier using floating-gate MOS technology

    T. Yamasaki;T. Shibata

  • Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework

    Li Tao;Xueting Wang;Toshihiko Yamasaki

  • Time-Varying Mesh Compression Using an Extended Block Matching Algorithm

    Seung-Ryong Han;T. Yamasaki;K. Aizawa

  • Learning From Synthetic Shadows for Shadow Detection and Removal

    Naoto Inoue;Toshihiko Yamasaki

  • Evaluation of video summarization for a large number of cameras in ubiquitous home

    Gamhewage C. de Silva;Toshihiko Yamasaki;Kiyoharu Aizawa

  • Multi-label Fashion Image Classification with Minimal Human Supervision

    Naoto Inoue;Edgar Simo-Serra;Toshihiko Yamasaki;Hiroshi Ishikawa

  • Determination of emotional content of video clips by low-level audiovisual features: A dimensional and categorial experimental approach

    René Marcelino Abritta Teixeira;Toshihiko Yamasaki;Kiyoharu Aizawa

  • Efficient Optimization of Convolutional Neural Networks Using Particle Swarm Optimization

    Toshihiko Yamasaki;Takuto Honma;Kiyoharu Aizawa

  • Self-supervised Video Representation Learning Using Inter-intra Contrastive Framework

    Li Tao;Xueting Wang;Toshihiko Yamasaki

Frequent Co-Authors

Kiyoharu Aizawa
Kiyoharu Aizawa University of Tokyo
Tsuhan Chen
Tsuhan Chen Cornell University
Andrew C. Gallagher
Andrew C. Gallagher Google (United States)
Wenjun Zeng
Wenjun Zeng Microsoft (United States)
Tao Mei
Tao Mei Jingdong (China)
Brian Price
Brian Price Adobe Systems (United States)
Roger Zimmermann
Roger Zimmermann National University of Singapore
Ja-Ling Wu
Ja-Ling Wu National Taiwan University
Osamu Ogawa
Osamu Ogawa Kyoto University
Yi Yu
Yi Yu Hiroshima University

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