World's Best Scientists 2026 revealed!
Yoshimasa Tsuruoka

Yoshimasa Tsuruoka

D-Index & Metrics

Computer Science

D-Index
40
Citations
7211
World Ranking
9267
National Ranking
133

Yoshimasa Tsuruoka 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 Yoshimasa Tsuruoka 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: 148 publications — 26th percentile

26% of scientists in this discipline score the same or lower.

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

Yoshimasa Tsuruoka 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 Yoshimasa Tsuruoka 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Yoshimasa Tsuruoka is affiliated with the University of Tokyo in Japan. Their research spans multiple areas within computer science and engineering, with a primary focus on artificial intelligence and control systems.

The main fields of study in Tsuruoka's work include:

  • Computer Science
  • Engineering

Their subfields of study cover a range of topics:

  • Artificial Intelligence
  • Control and Systems Engineering
  • Computer Vision and Pattern Recognition
  • Molecular Biology
  • Electrical and Electronic Engineering

Tsuruoka's research interests are reflected in the main topics they have worked on:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Reinforcement Learning in Robotics
  • Advanced Control Systems Optimization
  • Multimodal Machine Learning Applications
  • Fault Detection and Control Systems
  • Speech Recognition and Synthesis

The scientist has authored papers in a variety of publication venues, with several frequent outlets for their work:

  • arXiv (Cornell University)
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • SICE Journal of Control Measurement and System Integration
  • Journal of Natural Language Processing
  • Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Notable recent papers by Yoshimasa Tsuruoka include:

  • "mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models," 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • "EASE: Entity-Aware Contrastive Learning of Sentence Embedding," 2022, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  • "Dropout Q-Functions for Doubly Efficient Reinforcement Learning," 2021, arXiv (Cornell University)
  • "Pretraining with Artificial Language: Studying Transferable Knowledge in Language Models," 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • "Computing operation procedures for chemical plants using whole-plant simulation models," 2021, Control Engineering Practice

Tsuruoka collaborates frequently with several researchers, including:

  • Takashi Onishi
  • Ryokan Ri
  • T. HIRAOKA
  • Shumpei Kubosawa
  • Ikuya Yamada

Best Publications

  • Introduction to the bio-entity recognition task at JNLPBA

    Jin-Dong Kim;Tomoko Ohta;Yoshimasa Tsuruoka;Yuka Tateisi

  • Developing a robust part-of-speech tagger for biomedical text

    Yoshimasa Tsuruoka;Yuka Tateishi;Jin-Dong Kim;Tomoko Ohta

  • A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks

    Kazuma Hashimoto;Caiming Xiong;Yoshimasa Tsuruoka;Richard Socher

  • Traction control of electric vehicle: basic experimental results using the test EV "UOT electric march"

    Y. Hori;Y. Toyoda;Y. Tsuruoka

  • Bidirectional Inference with the Easiest-First Strategy for Tagging Sequence Data

    Yoshimasa Tsuruoka;Jun'ichi Tsujii

  • Tree-to-Sequence Attentional Neural Machine Translation

    Akiko Eriguchi;Kazuma Hashimoto;Yoshimasa Tsuruoka

  • Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty

    Yoshimasa Tsuruoka;Jun'ichi Tsujii;Sophia Ananiadou

  • FACTA: a text search engine for finding associated biomedical concepts

    Yoshimasa Tsuruoka;Jun'ichi Tsujii;Sophia Ananiadou

  • Extraction of gene-disease relations from Medline using domain dictionaries and machine learning.

    Hong-Woo Chun;Yoshimasa Tsuruoka;Jin-Dong Kim;Rie Shiba

  • Learning to Parse and Translate Improves Neural Machine Translation

    Akiko Eriguchi;Yoshimasa Tsuruoka;Kyunghyun Cho

  • Boosting Precision and Recall of Dictionary-Based Protein Name Recognition

    Yoshimasa Tsuruoka;Jun'ichi Tsujii

  • Discovering and visualizing indirect associations between biomedical concepts

    Yoshimasa Tsuruoka;Makoto Miwa;Kaisei Hamamoto;Jun'ichi Tsujii

  • Improving the performance of dictionary-based approaches in protein name recognition

    Yoshimasa Tsuruoka;Jun'ichi Tsujii

  • Game-tree Search Algorithm based on Realization Probability

    Yoshimasa Tsuruoka;Daisaku Yokoyama;Takashi Chikayama

  • Learning string similarity measures for gene/protein name dictionary look-up using logistic regression

    Yoshimasa Tsuruoka;John McNaught;Jun'i;chi Tsujii

  • Simple Customization of Recursive Neural Networks for Semantic Relation Classification

    Kazuma Hashimoto;Makoto Miwa;Yoshimasa Tsuruoka;Takashi Chikayama

  • Semantic Retrieval for the Accurate Identification of Relational Concepts in Massive Textbases

    Yusuke Miyao;Tomoko Ohta;Katsuya Masuda;Yoshimasa Tsuruoka

  • Integration of metabolic databases for the reconstruction of genome-scale metabolic networks

    Karin Radrich;Karin Radrich;Yoshimasa Tsuruoka;Yoshimasa Tsuruoka;Paul D. Dobson;Albert Gevorgyan;Albert Gevorgyan

  • Improving the Scalability of Semi-Markov Conditional Random Fields for Named Entity Recognition

    Daisuke Okanohara;Yusuke Miyao;Yoshimasa Tsuruoka;Jun'ichi Tsujii

  • Improving Chinese Word Segmentation and POS Tagging with Semi-supervised Methods Using Large Auto-Analyzed Data

    Yiou Wang;Jun'ichi Kazama;Yoshimasa Tsuruoka;Wenliang Chen

Frequent Co-Authors

Jun'ichi Tsujii
Jun'ichi Tsujii University of Manchester
Sophia Ananiadou
Sophia Ananiadou University of Manchester
Makoto Miwa
Makoto Miwa Toyota Technological Institute
Yusuke Miyao
Yusuke Miyao University of Tokyo
Tomoko Ohta
Tomoko Ohta University of Tokyo
Naoaki Okazaki
Naoaki Okazaki Tokyo Institute of Technology
Xu Sun
Xu Sun Peking University
Yoichi Hori
Yoichi Hori University of Tokyo
Hiroaki Kitano
Hiroaki Kitano Okinawa Institute of Science and Technology
Neil Swainston
Neil Swainston Epoch BioDesign

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