World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
12512
World Ranking
4077
National Ranking
541

King Ngi Ngan 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 King Ngi Ngan 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: 428 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

King Ngi Ngan 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 King Ngi Ngan 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: 56 D-Index — 72nd percentile

72% 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

  • 2000 - IEEE Fellow For contributions to the theory and applications of visual signal processing and communications.

Overview

King Ngi Ngan is affiliated with the University of Electronic Science and Technology of China in China. Their research primarily focuses on computer science, with a significant number of publications in the subfield of computer vision and pattern recognition. Their work also spans areas such as artificial intelligence, media technology, signal processing, and computer graphics and computer-aided design.

The scientist's research topics cover a range of advanced techniques and applications, including:

  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Image Enhancement Techniques
  • Image and Video Quality Assessment
  • Multimodal Machine Learning Applications
  • Advanced Image Processing Techniques

King Ngi Ngan has published extensively in several venues, with the most frequent publication outlets being:

  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Multimedia
  • arXiv (Cornell University)
  • Neurocomputing
  • Displays

Some of their recent papers include:

  • High-Quality R-CNN Object Detection Using Multi-Path Detection Calibration Network, 2020, IEEE Transactions on Circuits and Systems for Video Technology
  • Subjective and Objective De-Raining Quality Assessment Towards Authentic Rain Image, 2020, IEEE Transactions on Circuits and Systems for Video Technology
  • Hierarchical Context Features Embedding for Object Detection, 2020, IEEE Transactions on Multimedia
  • Query Reconstruction Network for Referring Expression Image Segmentation, 2020, IEEE Transactions on Multimedia
  • Parametric Deformable Exponential Linear Units for deep neural networks, 2020, Neural Networks

The scientist has collaborated frequently with several co-authors, including:

  • Qingbo Wu
  • Hongliang Li
  • Fanman Meng
  • Linfeng Xu
  • Heqian Qiu

King Ngi Ngan has been recognized with the IEEE Fellow award in 2000 for contributions to the theory and applications of visual signal processing and communications.

Best Publications

  • Face segmentation using skin-color map in videophone applications

    D. Chai;K.N. Ngan

  • Automatic segmentation of moving objects for video object plane generation

    T. Meier;K.N. Ngan

  • Unsupervised extraction of visual attention objects in color images

    J. Han;K.N. Ngan;Mingjing Li;Hong-Jiang Zhang

  • Video segmentation for content-based coding

    T. Meier;K.N. Ngan

  • Spatio-Temporal Just Noticeable Distortion Profile for Grey Scale Image/Video in DCT Domain

    Zhenyu Wei;K.N. Ngan

  • Locating facial region of a head-and-shoulders color image

    D. Chai;K.N. Ngan

  • A Co-Saliency Model of Image Pairs

    Hongliang Li;King Ngi Ngan

  • Image Quality Assessment by Separately Evaluating Detail Losses and Additive Impairments

    Songnan Li;Fan Zhang;Lin Ma;King Ngi Ngan

  • Admission control in IEEE 802.11e wireless LANs

    Deyun Gao;Jianfei Cai;King Ngi Ngan

  • Reduced-Reference Image Quality Assessment Using Reorganized DCT-Based Image Representation

    Lin Ma;Songnan Li;Fan Zhang;King Ngi Ngan

  • Recent advances in rate control for video coding

    Zhenzhong Chen;King Ngi Ngan

  • Reduction of blocking artifacts in image and video coding

    T. Meier;K.N. Ngan;G. Crebbin

  • Object Co-Segmentation Based on Shortest Path Algorithm and Saliency Model

    Fanman Meng;Hongliang Li;Guanghui Liu;King Ngi Ngan

  • Adaptive cosine transform coding of images in perceptual domain

    K.N. Ngan;K.S. Leong;H. Singh

  • A memory learning framework for effective image retrieval

    J. Han;K.N. Ngan;Mingjing Li;Hong-Jiang Zhang

  • Blind Image Quality Assessment Based on Multichannel Feature Fusion and Label Transfer

    Qingbo Wu;Hongliang Li;Fanman Meng;King N. Ngan

  • Image Retargeting Quality Assessment: A Study of Subjective Scores and Objective Metrics

    Lin Ma;Weisi Lin;Chenwei Deng;King Ngi Ngan

  • Unsupervised Salient Object Segmentation Based on Kernel Density Estimation and Two-Phase Graph Cut

    Zhi Liu;Ran Shi;Liquan Shen;Yinzhu Xue

  • Co-Salient Object Detection From Multiple Images

    Hongliang Li;Fanman Meng;King Ngi Ngan

  • MVF-Net: Multi-View 3D Face Morphable Model Regression

    Fanzi Wu;Linchao Bao;Yajing Chen;Yonggen Ling

  • Weighted Adaptive Lifting-Based Wavelet Transform for Image Coding

    Yu Liu;King Ngi Ngan

Frequent Co-Authors

Hongliang Li
Hongliang Li University of Electronic Science and Technology of China
Fanman Meng
Fanman Meng University of Electronic Science and Technology of China
Zhenzhong Chen
Zhenzhong Chen Wuhan University
Jianfei Cai
Jianfei Cai Monash University
Weisi Lin
Weisi Lin Nanyang Technological University
Junwei Han
Junwei Han Northwestern Polytechnical University
Feng Wu
Feng Wu University of Science and Technology of China
Mingjing Li
Mingjing Li Microsoft (United States)
Tat-Jen Cham
Tat-Jen Cham Nanyang Technological University

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 further education and career opportunities is a smart move for students of computer science. The field often overlaps with many of the top 10 best majors for the future, giving graduates versatility across growing industries.

For those seeking to advance their credentials without excessive time or difficulty, there are several options available. Some pursue the easiest masters degrees, which offer faster completion and lower stress while still enhancing job prospects.

If you aim for the highest level of education, there are cheap doctorate degree online programs to help minimize financial burden while still reaching advanced roles in academia or industry.

Alternatively, educators and administrators might be interested in edd online programs designed for the fastest possible completion. This flexible pathway is ideal for advancing your career while managing ongoing commitments.

Best Scientists Citing King Ngi Ngan

Trending Scientists

Recently Published Articles