World's Best Scientists 2026 revealed!
Yoichi Hayashi

Yoichi Hayashi

D-Index & Metrics

Computer Science

D-Index
37
Citations
11517
World Ranking
10467
National Ranking
156

Yoichi Hayashi 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 Yoichi Hayashi 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: 179 publications — 38th percentile

38% of scientists in this discipline score the same or lower.

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

Yoichi Hayashi 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 Yoichi Hayashi 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Yoichi Hayashi is affiliated with Meiji University in Japan and has contributed extensively to the fields of computer science and medicine, with a specific focus on artificial intelligence and its applications. Their research spans multiple subfields including artificial intelligence, computer vision and pattern recognition, information systems, health informatics, and radiology, nuclear medicine, and imaging.

Their primary topics of work include:

  • Explainable Artificial Intelligence (XAI)
  • Artificial Intelligence in Healthcare and Education
  • Imbalanced Data Classification Techniques
  • AI in cancer detection
  • Data Mining Algorithms and Applications
  • Machine Learning in Healthcare
  • Financial Distress and Bankruptcy Prediction

Hayashi has published in several venues, notably:

  • Electronics
  • Journal of Artificial Intelligence and Soft Computing Research
  • The Journal of Physical Fitness and Sports Medicine
  • Information Fusion
  • arXiv (Cornell University)

Recent papers authored or coauthored by Hayashi include:

  • "Emerging Trends in Deep Learning for Credit Scoring: A Review" (2022) published in Electronics
  • "One-Dimensional Convolutional Neural Networks with Feature Selection for Highly Concise Rule Extraction from Credit Scoring Datasets with Heterogeneous Attributes" (2020) published in Electronics

Other recent papers in related collaborations feature work on explainable AI and user identification methods, such as:

  • "Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions" (2024) published in Information Fusion
  • "Browser Fingerprint Coding Methods Increasing the Effectiveness of User Identification in the Web Traffic" (2020) published in Journal of Artificial Intelligence and Soft Computing Research

Hayashi frequently collaborates with the following researchers:

  • Shun Wakatabe
  • Luca Longo
  • Mario Brčić
  • Federico Cabitza
  • Jaesik Choi

Best Publications

  • Fuzzy hierarchical analysis

    J.J. Buckley;T. Feuring;Y. Hayashi

  • Neuro-fuzzy rule generation: survey in soft computing framework

    S. Mitra;Y. Hayashi

  • Fuzzy neural networks: a survey

    James J. Buckley;Yoichi Hayashi

  • Fuzzy neural network with fuzzy signals and weights

    Yoichi Hayashi;James J. Buckley;Ernest Czogala

  • Fuzzy hierarchical analysis revisited

    James J. Buckley;Thomas Feuring;Yoichi Hayashi

  • Neural expert system using fuzzy teaching input and its application to medical diagnosis

    Yoichi Hayashi

  • Can fuzzy neural nets approximate continuous fuzzy functions

    James J. Buckley;Yoichi Hayashi

  • Neural nets for fuzzy systems

    James J. Buckley;Yoichi Hayashi

  • Knowledge acquisition in the fuzzy knowledge representation framework of a medical consultation system

    Karl Boegl;Klaus-Peter Adlassnig;Yoichi Hayashi;Thomas E. Rothenfluh

  • Fuzzy genetic algorithm and applications

    James J. Buckley;Yoichi Hayashi

  • Bioinformatics with soft computing

    S. Mitra;Y. Hayashi

  • Fuzzy input-output controllers are universal approximators

    James J. Buckley;Yoichi Hayashi

  • On the equivalence of neural nets and fuzzy expert systems

    James J. Buckley;Yoichi Hayashi;Ernest Czogała

  • A novel control of a current source active filter for AC power system harmonic compensation

    Y. Hayashi;N. Sato;K. Takahashi

  • Genetic learning algorithms for fuzzy neural nets

    P.V. Krishnamraju;J.J. Buckley;K.D. Reilly;Y. Hayashi

  • A new approach to calculating core losses in the SRM

    Y. Hayashi;T.J.E. Miller

  • Rule extraction using Recursive-Rule extraction algorithm with J48graft combined with sampling selection techniques for the diagnosis of type 2 diabetes mellitus in the Pima Indian dataset

    Yoichi Hayashi;Shonosuke Yukita

  • Characterization of symbolic rules embedded in deep DIMLP networks : a challenge to transparency of deep learning

    Guido Bologna;Yoichi Hayashi

  • A comparison between two neural network rule extraction techniques for the diagnosis of hepatobiliary disorders

    Yoichi Hayashi;Rudy Setiono;Katsumi Yoshida

  • Fuzzy neural controller

    Y. Hayashi;E. Czogala;J.J. Buckley

  • A NEURAL EXPERT SYSTEM WITH AUTOMATED EXTRACTION OF FUZZY IF-THEN RULES

    Yoichi Hayashi

Frequent Co-Authors

James J. Buckley
James J. Buckley University of Alabama at Birmingham
Rudy Setiono
Rudy Setiono National University of Singapore
Krzysztof Cpałka
Krzysztof Cpałka Częstochowa University of Technology
Sushmita Mitra
Sushmita Mitra Indian Statistical Institute
Włodzisław Duch
Włodzisław Duch Nicolaus Copernicus University
James M. Keller
James M. Keller University of Missouri
Nikhil R. Pal
Nikhil R. Pal Indian Statistical Institute

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring degrees and training online can open up many flexible pathways in computer science. Whether you're starting out or aiming to advance your career, it's important to consider programs that fit your goals and your current experience.

If you’re aiming for career advancement, exploring the best masters degree to get in computer science can align you with fields that are in high demand. Master’s programs can help you specialize, increase your earning potential, and access leadership positions.

For newcomers or those wanting to switch careers quickly, associates degrees online offer a faster route into the workforce. These programs cover foundational skills, often at a lower cost and time commitment.

Cost and academic history are major factors for many students. If you’re budgeting for your studies, cheap online college classes can help reduce expenses without sacrificing educational quality. Plus, individuals with less competitive transcripts can find online colleges that accept low gpa, helping keep your academic and career goals on track.

Best Scientists Citing Yoichi Hayashi

Trending Scientists

Recently Published Articles