World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
47
Citations
15454
World Ranking
6318
National Ranking
2823

Juyang Weng 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 Juyang Weng 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: 268 publications — 67th percentile

67% of scientists in this discipline score the same or lower.

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

Juyang Weng 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 Juyang Weng 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: 47 D-Index — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Overview

Juyang Weng is affiliated with Michigan State University in the United States and has contributed extensively to the field of computer science. Their research primarily spans areas such as artificial intelligence, cognitive neuroscience, computational theory and mathematics, electrical and electronic engineering, and computer vision and pattern recognition.

The main topics of Weng's work include:

  • Computability, Logic, AI Algorithms
  • Reinforcement Learning in Robotics
  • Advanced Memory and Neural Computing
  • EEG and Brain-Computer Interfaces
  • Neural Networks and Applications
  • Neural dynamics and brain function
  • Domain Adaptation and Few-Shot Learning

Weng has published numerous papers with a focus on autonomous programming, developmental networks, and conscious learning. Some of the recent papers include:

  • "Autonomous Programming for General Purposes: Theory" (2020), published in the International Journal of Humanoid Robotics
  • "20 Million-Dollar Problems for Any Brain Models and a Holistic Solution: Conscious Learning" (2022), presented at the 2022 International Joint Conference on Neural Networks (IJCNN)
  • "Developmental Network-2: The Autonomous Generation of Optimal Internal-Representation Hierarchy" (2021), published in IEEE Transactions on Neural Networks and Learning Systems
  • "3D-to-2D-to-3D Conscious Learning" (2022), presented at the 2022 IEEE International Conference on Consumer Electronics (ICCE)
  • "Developmental Network Two, Its Optimality, and Emergent Turing Machines" (2022), available on arXiv (Cornell University)

Their frequent collaborators include Xiang Wu, Zejia Zheng, Sri Hrushikesh Varma Bhupathiraju, Tanisha Samant, and Alex Dresner. Weng's work is regularly published in venues such as arXiv (Cornell University), International Journal of Humanoid Robotics, the 2022 International Joint Conference on Neural Networks (IJCNN), IEEE Transactions on Neural Networks and Learning Systems, and the 2022 IEEE International Conference on Consumer Electronics (ICCE).

Juyang Weng has contributed to the book "Conscious Learning," published by World Scientific in 2022.

Best Publications

  • Camera calibration with distortion models and accuracy evaluation

    J. Weng;P. Cohen;M. Herniou

  • Using discriminant eigenfeatures for image retrieval

    D.L. Swets;J.J. Weng

  • Discriminant analysis of principal components for face recognition

    Wenyi Zhao;A. Krishnaswamy;R. Chellappa;D. L. Swets

  • Autonomous Mental Development by Robots and Animals

    Juyang Weng;James McClelland;Alex Pentland;Olaf Sporns

  • Motion and structure from two perspective views: algorithms, error analysis, and error estimation

    J. Weng;T.S. Huang;N. Ahuja

  • Candid covariance-free incremental principal component analysis

    Juyang Weng;Yilu Zhang;Wey-Shiuan Hwang

  • Optimal motion and structure estimation

    J. Weng;N. Ahuja;T.S. Huang

  • Motion and Structure from Image Sequences

    Juyang Weng;Narendra Ahuja;Thomas S. Huang

  • Motion and structure from line correspondences; closed-form solution, uniqueness, and optimization

    J. Weng;T.S. Huang;N. Ahuja

  • Matching two perspective views

    J. Weng;N. Ahuja;T.S. Huang

  • DEVELOPMENTAL ROBOTICS: THEORY AND EXPERIMENTS

    Juyang Weng

  • 3-D Motion Estimation, Understanding, and Prediction from Noisy Image Sequences

    Juyang Weng;Thomas S. Huang;Narendra Ahuja

  • Optimal registration of object views using range data

    C. Dorai;J. Weng;A.K. Jain

  • Learning recognition and segmentation of 3-D objects from 2-D images

    J.J. Weng;N. Ahuja;T.S. Huang

  • Hierarchical discriminant analysis for image retrieval

    D.L. Swets;Juyang Weng

  • Appearance-based hand sign recognition from intensity image sequences

    Yuntao Cui;Juyang Weng

  • Hierarchical discriminant regression

    W.-S. Hwang;J. Weng

  • Learning-based hand sign recognition using SHOSLIF-M

    Yuntao Cui;D.L. Swets;J.J. Weng

  • Dually Optimal Neuronal Layers: Lobe Component Analysis

    Juyang Weng;M. Luciw

  • Cresceptron: a self-organizing neural network which grows adaptively

    J. Weng;N. Ahuja;T.S. Huang

  • ESTIMATING MOTION/STRUCTURE FROM LINE CORRESPONDENCES:

    Juyang Weng;Yuncai Liu;Thomas S. Huang;Narendra Ahuja

Frequent Co-Authors

Thomas S. Huang
Thomas S. Huang University of Illinois at Urbana-Champaign
Narendra Ahuja
Narendra Ahuja University of Illinois at Urbana-Champaign
Xiangyang Xue
Xiangyang Xue Fudan University
Danil V. Prokhorov
Danil V. Prokhorov Toyota Motor Corporation (Japan)
Anil K. Jain
Anil K. Jain Michigan State University
James L. McClelland
James L. McClelland Stanford University
Philip K. McKinley
Philip K. McKinley Michigan State University
Roger J. Calantone
Roger J. Calantone Michigan State University
Olaf Sporns
Olaf Sporns Indiana University

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