World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
17450
World Ranking
2588
National Ranking
1290

Jenq-Neng Hwang 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 Jenq-Neng Hwang 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: 522 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

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

Jenq-Neng Hwang 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 Jenq-Neng Hwang 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: 64 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Overview

Jenq-Neng Hwang is affiliated with the University of Washington in the United States. Their research spans multiple fields within computer science and engineering, with a focus on areas such as computer vision, pattern recognition, and artificial intelligence.

The scientist has contributed extensively to research in several specialized topics, including:

  • Video Surveillance and Tracking Methods
  • Human Pose and Action Recognition
  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Robotics and Sensor-Based Localization
  • Advanced Image and Video Retrieval Techniques

Recent notable publications by Jenq-Neng Hwang document advances in semantic segmentation, salient object detection, and radar object detection, among other topics. These include:

  • GMNet: Graded-Feature Multilabel-Learning Network for RGB-Thermal Urban Scene Semantic Segmentation, 2021, IEEE Transactions on Image Processing
  • ECFFNet: Effective and Consistent Feature Fusion Network for RGB-T Salient Object Detection, 2021, IEEE Transactions on Circuits and Systems for Video Technology
  • RODNet: A Real-Time Radar Object Detection Network Cross-Supervised by Camera-Radar Fused Object 3D Localization, 2021, IEEE Journal of Selected Topics in Signal Processing
  • MFFENet: Multiscale Feature Fusion and Enhancement Network For RGB-Thermal Urban Road Scene Parsing, 2021, IEEE Transactions on Multimedia
  • WaveNet: Wavelet Network With Knowledge Distillation for RGB-T Salient Object Detection, 2023, IEEE Transactions on Image Processing

The scientist frequently publishes in several key venues for their research, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Journal of Selected Topics in Signal Processing

Collaborations form an important aspect of Jenq-Neng Hwang's work, with frequent coauthors including:

  • Zhongyu Jiang
  • Cheng-Yen Yang
  • Gaoang Wang
  • Wenhao Chai
  • Hsiang-Wei Huang

Their interdisciplinary expertise touches several engineering subfields such as aerospace engineering, radiology and nuclear medicine imaging, and ocean engineering, alongside a core focus on computer vision and artificial intelligence techniques.

Best Publications

  • Handbook of Neural Network Signal Processing

    Yu Hen Hu;Jeng-Neng Hwang;Jenq-Neng Hwang

  • Fast and automatic video object segmentation and tracking for content-based applications

    Changick Kim;Jenq-Neng Hwang

  • DesnowNet: Context-Aware Deep Network for Snow Removal

    Y-Fu. Liu;D-Wei. Jaw;S-Chia. Huang;J-Neng. Hwang

  • A Review on Video-Based Human Activity Recognition

    Shian-Ru Ke;Hoang Le Uyen Thuc;Yong-Jin Lee;Jenq-Neng Hwang

  • CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification

    Zheng Tang;Milind Naphade;Ming-Yu Liu;Xiaodong Yang

  • Nonparametric multivariate density estimation: a comparative study

    Jenq-Neng Hwang;Shyh-Rong Lay;A. Lippman

  • Regression modeling in back-propagation and projection pursuit learning

    Unknown

  • Finite precision error analysis of neural network hardware implementations

    J.L. Holi;J.-N. Hwang

  • GMNet: Graded-Feature Multilabel-Learning Network for RGB-Thermal Urban Scene Semantic Segmentation

    Wujie Zhou;Jinfu Liu;Jingsheng Lei;Lu Yu

  • GLIPv2: Unifying Localization and Vision-Language Understanding

    Unknown

  • ECFFNet: Effective and Consistent Feature Fusion Network for RGB-T Salient Object Detection

    Wujie Zhou;Qinling Guo;Jingsheng Lei;Lu Yu

  • Lipreading from color video

    G.I. Chiou;Jenq-Neng Hwang

  • Query-based learning applied to partially trained multilayer perceptrons

    J.-N. Hwang;J.J. Choi;S. Oh;R.J. Marks

  • Neural network architectures for robotic applications

    S.-Y. King;J.-N. Hwang

  • Exploit the Connectivity: Multi-Object Tracking with TrackletNet

    Gaoang Wang;Yizhou Wang;Haotian Zhang;Renshu Gu

  • RODNet: A Real-Time Radar Object Detection Network Cross-Supervised by Camera-Radar Fused Object 3D Localization

    Yizhou Wang;Zhongyu Jiang;Yudong Li;Jenq-Neng Hwang

  • A real-time interactive virtual classroom multimedia distance learning system

    S.G. Deshpande;Jenq-Neng Hwang

  • Closed contour edge detection of blood vessel lumen and outer wall boundaries in black-blood MR images.

    Chun Yuan;Eugene Lin;Jacob Millard;Jenq–Neng Hwang

  • Object-based video abstraction for video surveillance systems

    Changick Kim;Jenq-Neng Hwang

  • Single-Camera and Inter-Camera Vehicle Tracking and 3D Speed Estimation Based on Fusion of Visual and Semantic Features

    Zheng Tang;Gaoang Wang;Hao Xiao;Aotian Zheng

  • Object-based analysis and interpretation of human motion in sports video sequences by dynamic Bayesian networks

    Ying Luo;Tzong-Der Wu;Jenq-Neng Hwang

  • An integrated scheme for object-based video abstraction

    Changick Kim;Jenq-Neng Hwang

  • A unified systolic architecture for artificial neural networks

    S. Y. Kung;J. N. Hwang

Frequent Co-Authors

Chun Yuan
Chun Yuan University of Utah
Leung Tsang
Leung Tsang University of Michigan–Ann Arbor
Sun-Yuan Kung
Sun-Yuan Kung Princeton University
Changick Kim
Changick Kim Korea Advanced Institute of Science and Technology
Shih-Chia Huang
Shih-Chia Huang National Taipei University of Technology
David B. Tanner
David B. Tanner University of Florida
Linda G. Shapiro
Linda G. Shapiro University of Washington
Ming-Ting Sun
Ming-Ting Sun University of Washington
Wenjun Zhang
Wenjun Zhang Shanghai Jiao Tong University
Yu Hen Hu
Yu Hen Hu University of Wisconsin–Madison

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