World's Best Scientists 2026 revealed!
Junzo Watada

Junzo Watada

D-Index & Metrics

Computer Science

D-Index
35
Citations
6429
World Ranking
11561
National Ranking
172

Junzo Watada 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 Junzo Watada 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: 561 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Junzo Watada 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 Junzo Watada 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Junzo Watada is affiliated with Waseda University in Japan and has contributed extensively to research in computer science and engineering fields. Their work spans multiple subfields including artificial intelligence, electrical and electronic engineering, computational theory and mathematics, computer vision and pattern recognition, and ocean engineering.

Their research focuses on several main topics such as metaheuristic optimization algorithms, energy load and power forecasting, electric power system optimization, evolutionary algorithms and applications, multi-criteria decision making, advanced multi-objective optimization algorithms, and hydrocarbon exploration and reservoir analysis.

Watada has published in numerous journals and conferences, with frequent contributions to venues such as:

  • IEEE Access
  • Applied Soft Computing
  • Applied Sciences
  • SSRN Electronic Journal
  • Information Sciences

Their recent papers include:

  • Multi-objective prediction intervals for wind power forecast based on deep neural networks, 2020, Information Sciences
  • Conditional Style-Based Generative Adversarial Networks for Renewable Scenario Generation, 2022, IEEE Transactions on Power Systems
  • Optimization of the hydropower energy generation using Meta-Heuristic approaches: A review, 2020, Energy Reports
  • Multi-objective wind power scenario forecasting based on PG-GAN, 2021, Energy
  • Multi-criteria fuzzy portfolio selection based on three-way decisions and cumulative prospect theory, 2023, Applied Soft Computing

Watada frequently collaborates with several researchers, including:

  • Usman Ahmad Usmani
  • Jeng-Shyang Pan
  • Shu-Chuan Chu
  • Bo Wang
  • Izzatdin Abdul Aziz

In addition to journal publications, they have contributed to books published by Springer Nature and in the field of engineering cyber-physical systems and critical infrastructures. Notable book titles include:

  • Computational Intelligence for COVID-19 and Future Pandemics, 2022
  • Smart Applications with Advanced Machine Learning and Human-Centred Problem Design, 2023

The scope of Watada's work demonstrates an engagement with advanced computational methods applied to energy systems, optimization challenges, and applications integrating artificial intelligence techniques. Their interdisciplinary approach supports ongoing research at the intersection of computer science and engineering disciplines.

Best Publications

  • Possibilistic linear systems and their application to the linear regression model

    H. Tanaka;J. Watada

  • Possibilistic linear regression analysis for fuzzy data

    Hideo Tanaka;Isao Hayashi;Junzo Watada

  • Emerging Trends, Techniques and Open Issues of Containerization: A Review

    Unknown

  • A holistic review on optimization strategies for combined economic emission dispatch problem

    Fahad Parvez Mahdi;Pandian Vasant;Vish Kallimani;Junzo Watada

  • A hybrid modified PSO approach to VaR-based facility location problems with variable capacity in fuzzy random uncertainty

    Shuming Wang;Junzo Watada

  • Multi-objective prediction intervals for wind power forecast based on deep neural networks

    Min Zhou;Min Zhou;Bo Wang;Shudong Guo;Junzo Watada

  • Fuzzy-Portfolio-Selection Models With Value-at-Risk

    Bo Wang;Shuming Wang;J. Watada

  • Building Confidence-Interval-Based Fuzzy Random Regression Models

    J. Watada;Shuming Wang;W. Pedrycz

  • Value-at-Risk-Based Two-Stage Fuzzy Facility Location Problems

    Shuming Wang;J. Watada;W. Pedrycz

  • DNA Computing and Its Applications

    J. Watada;R. binti abu Bakar

  • Optimization of the hydropower energy generation using Meta-Heuristic approaches: A review

    Abdus Samad Azad;Shokor A. Rahaman;Junzo Watada;Pandian Vasant

  • FUzzy Portfolio Model for Decision Making In Investment

    Junzo Watada

  • Fuzzy Principal Component Analysis and Its Application

    Yoshiyuki Yabuuch;Junzo Watada

  • A holistic review on artificial intelligence techniques for well placement optimization problem

    Jahedul Islam;Pandian M. Vasant;Berihun Mamo Negash;Moacyr Bartholomeu Laruccia

  • Gaussian-PSO with fuzzy reasoning based on structural learning for training a Neural Network

    Haydee Melo;Junzo Watada

  • DNA approach to solve clustering problem based on a mutual order.

    Rohani Binti Abu Bakar;Junzo Watada;Witold Pedrycz

  • Evolutionary Fuzzy ARTMAP Neural Networks for Classification of Semiconductor Defects

    Shing Chiang Tan;Junzo Watada;Zuwairie Ibrahim;Marzuki Khalid

  • Multi-objective wind power scenario forecasting based on PG-GAN

    Ran Yuan;Bo Wang;Zhixin Mao;Junzo Watada

  • Fuzzy regression model of R&D project evaluation

    Shinji Imoto;Yoshiyuki Yabuuchi;Junzo Watada

  • Analysis of operation cost and wind curtailment using multi-objective unit commitment with battery energy storage

    Bo Wang;Min Zhou;Bo Xin;Xin Zhao

  • A Review of Unsupervised Machine Learning Frameworks for Anomaly Detection in Industrial Applications

    Unknown

  • Kolmogorov-Smirnov Two Sample Test with Continuous Fuzzy Data

    Pei-Chun Lin;Berlin Wu;Junzo Watada

  • Fuzzy random renewal process with queueing applications

    Shuming Wang;Yan-Kui Liu;Junzo Watada

  • Multi-period portfolio selection with dynamic risk/expected-return level under fuzzy random uncertainty

    Bo Wang;You Li;Junzo Watada

Frequent Co-Authors

Witold Pedrycz
Witold Pedrycz University of Alberta
Pandian Vasant
Pandian Vasant Ton Duc Thang University
Chee Peng Lim
Chee Peng Lim Swinburne University of Technology
Lakhmi C. Jain
Lakhmi C. Jain University of South Australia
Vladimir Pavlovic
Vladimir Pavlovic Rutgers, The State University of New Jersey
Didier Dubois
Didier Dubois Paul Sabatier University
Jeng-Shyang Pan
Jeng-Shyang Pan Shandong University of Science and Technology
Gwo-Hshiung Tzeng
Gwo-Hshiung Tzeng National Taipei University
Masahiro Inuiguchi
Masahiro Inuiguchi Osaka University
Said Broumi
Said Broumi University of Hassan II Casablanca

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