World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
11266
World Ranking
6110
National Ranking
805

Benjamin W. Wah 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 Benjamin W. Wah 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: 308 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Benjamin W. Wah 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 Benjamin W. Wah 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: 48 D-Index — 58th percentile

58% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2006 - W. Wallace McDowell Award, IEEE Computer Society For fundamental contributions to the theory and applications of nonlinear and resource-constrained optimization.
  • 2004 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2004 - ACM Fellow For leadership in the computer science community and contributions to system optimization.
  • 1998 - Edward J. McCluskey Technical Achievement Award, IEEE Computer Society For outstanding and pioneering contributions to search optimization with parallel and neural networks approaches.
  • 1991 - IEEE Fellow For contributions to the field of parallel processing.

Overview

Benjamin W. Wah is affiliated with the Chinese University of Hong Kong in China. Their research primarily spans the fields of Computer Science and Engineering, with notable focus areas including Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics, Computer Science Applications, and Aerospace Engineering.

The scientist's work covers several main topics, such as:

  • Online Learning and Analytics
  • Intelligent Tutoring Systems and Adaptive Learning
  • Explainable Artificial Intelligence (XAI)
  • Advanced Vision and Imaging
  • Advanced Image and Video Retrieval Techniques
  • Robotics and Sensor-Based Localization
  • 3D Shape Modeling and Analysis

Benjamin W. Wah has contributed to multiple peer-reviewed papers, including:

  • "Using Kernels to Harness the Complexity of Big Data Applications," 2022, International Journal of Artificial Intelligence Tools
  • "Optimizing Multidimensional Perceptual Quality in Online Interactive Multimedia," 2023, IEEE Multimedia
  • "Dominance Pruning in Machine Learning for Solving Financial Trading and Real-Time Multimedia Applications," 2023, American Journal of Artificial Intelligence

Although not the primary author for all, a paper associated with their recent network includes "Vision, challenges, roles and research issues of Artificial Intelligence in Education," 2020, published in Computers and Education Artificial Intelligence.

Frequent publication venues for Benjamin W. Wah include:

  • Computers and Education Artificial Intelligence
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • International Journal of Artificial Intelligence Tools
  • IEEE Multimedia
  • American Journal of Artificial Intelligence

Benjamin collaborates often with other researchers including Feihu Zhang, Gwo-Jen Hwang, Haoran Xie, Dragan Gašević, and Xiaojuan Qi.

The following recognitions have been awarded to Benjamin W. Wah:

  • W. Wallace McDowell Award, IEEE Computer Society, 2006, for fundamental contributions to the theory and applications of nonlinear and resource-constrained optimization
  • Fellow of the American Association for the Advancement of Science (AAAS), 2004
  • ACM Fellow, 2004, for leadership in the computer science community and contributions to system optimization
  • Edward J. McCluskey Technical Achievement Award, IEEE Computer Society, 1998, for outstanding and pioneering contributions to search optimization with parallel and neural networks approaches
  • IEEE Fellow, 1991, for contributions to the field of parallel processing

Best Publications

  • Vision, challenges, roles and research issues of Artificial Intelligence in Education

    Gwo-Jen Hwang;Haoran Xie;Benjamin W. Wah;Dragan Gašević

  • Knowledge and data engineering

    C.V. Ramamoorthy;B.W. Wah

  • Significance and Challenges of Big Data Research

    Xiaolong Jin;Benjamin W. Wah;Xueqi Cheng;Yuanzhuo Wang

  • Algorithms for the Satisfiability (SAT) Problem: A Survey,

    Jun Gu;Paul W. Purdom;John Franco;Benjamin W. Wah

  • Multi-dimensional regression analysis of time-series data streams

    Yixin Chen;Guozhu Dong;Jiawei Han;Benjamin W. Wah

  • Global optimization for neural network training

    Yi Shang;B.W. Wah

  • A survey of error-concealment schemes for real-time audio and video transmissions over the Internet

    B.W. Wah;Xiao Su;Dong Lin

  • Stream Cube: An Architecture for Multi-Dimensional Analysis of Data Streams

    Jiawei Han;Yixin Chen;Guozhu Dong;Jian Pei

  • Temporal planning using subgoal partitioning and resolution in SGPlan

    Yixin Chen;Benjamin W. Wah;Chih-Wei Hsu

  • Star-cubing: computing iceberg cubes by top-down and bottom-up integration

    Dong Xin;Jiawei Han;Xiaolei Li;Benjamin W. Wah

  • A Discrete Lagrangian-Based Global-SearchMethod for Solving Satisfiability Problems

    Yi Shang;Benjamin W. Wah

  • Artificial Neural Networks: Concepts and Theory

    Pankaj Mehra;Benjamin W. Wah

  • Domain-invariant stereo matching networks

    Feihu Zhang;Xiaojuan Qi;Ruigang Yang;Victor Prisacariu

  • Scheduling of genetic algorithms in a noisy environment

    Akiko N. Aizawa;Benjamin W. Wah

  • Coping with Anomalies in Parallel Branch-and-Bound Algorithms

    Guo-Jie Li;Benjamin W. Wah

  • Deep FusionNet for Point Cloud Semantic Segmentation

    Feihu Zhang;Jin Fang;Benjamin W. Wah;Philip H. S. Torr

  • A Unix-Based Local Computer Network with Load Balancing

    Kai Hwang;Croft;Goble;Wah

  • Systematic approaches to the design of algorithmically specified systolic arrays

    J. Fortes;K. Fu;B. Wah

  • Recent development in multimedia e-learning technologies

    Rynson W. Lau;Neil Y. Yen;Frederick Li;Benjamin Wah

  • Wiley Encyclopedia of Computer Science and Engineering

    Benjamin W. Wah

  • Design of optimal systolic arrays

    G.J. Li;B.W. Wah

Frequent Co-Authors

Yixin Chen
Yixin Chen Washington University in St. Louis
Yi Shang
Yi Shang University of Missouri
Rynson W. H. Lau
Rynson W. H. Lau City University of Hong Kong
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Guozhu Dong
Guozhu Dong Wright State University
Qing Li
Qing Li Hong Kong Polytechnic University
Jianyong Wang
Jianyong Wang Tsinghua University
Jian Pei
Jian Pei Duke University
Cha Zhang
Cha Zhang Microsoft (United States)
Philip H. S. Torr
Philip H. S. Torr University of Oxford

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 related online degrees can open new doors for students pursuing Computer Science in the USA. With the demand for tech talent growing, learners have more flexible options to acquire skills and credentials without breaking the bank. Many universities now offer the cheapest bachelor degree programs online, making it possible to start a technical or computing career with reduced tuition costs.

Students interested in more specialized fields, such as engineering, should consider engineering schools online. These programs often include IT, software, and systems engineering tracks—ideal for those wanting to broaden their technical expertise.

For professionals seeking advancement, executive mba programs online blend management education with strategic skills, which is especially valuable for leading tech teams or launching tech ventures.

Additionally, a online library science degree appeals to those interested in data management, digital archiving, or information science—fields closely related to computer science in today’s digital landscape.

Best Scientists Citing Benjamin W. Wah

Trending Scientists

Recently Published Articles