World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
57
Citations
12692
World Ranking
3851
National Ranking
515

Ke Gu 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 Ke Gu 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: 196 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Ke Gu 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 Ke Gu 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: 57 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Overview

Ke Gu is affiliated with Beijing University of Technology in China and has produced a substantial body of research primarily in the fields of computer science and engineering. Their work spans 66 publications in computer science and 28 in engineering, with a focus on subfields such as computer vision and pattern recognition, media technology, environmental engineering, artificial intelligence, and water science and technology.

Their research covers several key topics including image and video quality assessment, advanced image fusion techniques, image enhancement techniques, visual attention and saliency detection, advanced image processing techniques, water quality monitoring technologies, and machine learning and extreme learning machines (ELM).

Frequent publication venues for Ke Gu include:

  • IEEE Transactions on Multimedia
  • arXiv (Cornell University)
  • ACM Transactions on Multimedia Computing Communications and Applications
  • Advanced Healthcare Materials
  • IEEE Transactions on Instrumentation and Measurement

Ke Gu's notable recent papers include:

  • "Screen Content Quality Assessment: Overview, Benchmark, and Beyond" (2021) published in ACM Computing Surveys
  • "PM₂.₅ Monitoring: Use Information Abundance Measurement and Wide and Deep Learning" (2021) published in IEEE Transactions on Neural Networks and Learning Systems
  • "Blind Image Quality Assessment by Natural Scene Statistics and Perceptual Characteristics" (2020) published in ACM Transactions on Multimedia Computing Communications and Applications
  • "Semi-Reference Sonar Image Quality Assessment Based on Task and Visual Perception" (2020) published in IEEE Transactions on Multimedia
  • "Vision-Based Monitoring of Flare Soot" (2020) published in IEEE Transactions on Instrumentation and Measurement

Several researchers frequently collaborate with Ke Gu, including Chengxu Zhou, Hongyan Liu, Junfei Qiao, Guangtao Zhai, and Xiaokang Yang.

Ke Gu has also contributed to book publications, including a work published by Springer International Publishing titled "Quality Assessment of Visual Content" (2022).

Best Publications

  • Using free energy principle for blind image quality assessment

    Ke Gu;Guangtao Zhai;Xiaokang Yang;Wenjun Zhang

  • Blind Image Quality Estimation via Distortion Aggravation

    Xiongkuo Min;Guangtao Zhai;Ke Gu;Yutao Liu

  • Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data

    Ke Gu;Dacheng Tao;Jun-Fei Qiao;Weisi Lin

  • Blind Quality Assessment Based on Pseudo-Reference Image

    Xiongkuo Min;Ke Gu;Guangtao Zhai;Jing Liu

  • The Analysis of Image Contrast: From Quality Assessment to Automatic Enhancement

    Ke Gu;Guangtao Zhai;Weisi Lin;Min Liu

  • No-Reference Quality Metric of Contrast-Distorted Images Based on Information Maximization

    Ke Gu;Weisi Lin;Guangtao Zhai;Xiaokang Yang

  • No-Reference Image Sharpness Assessment in Autoregressive Parameter Space

    Ke Gu;Guangtao Zhai;Weisi Lin;Xiaokang Yang

  • Unified Blind Quality Assessment of Compressed Natural, Graphic, and Screen Content Images

    Xiongkuo Min;Kede Ma;Ke Gu;Guangtao Zhai

  • Saliency-Guided Quality Assessment of Screen Content Images

    Ke Gu;Shiqi Wang;Huan Yang;Weisi Lin

  • Objective Quality Evaluation of Dehazed Images

    Xiongkuo Min;Guangtao Zhai;Ke Gu;Xiaokang Yang

  • No-Reference Quality Assessment of Screen Content Pictures

    Ke Gu;Jun Zhou;Jun-Fei Qiao;Guangtao Zhai

  • Hybrid No-Reference Quality Metric for Singly and Multiply Distorted Images

    Ke Gu;Guangtao Zhai;Xiaokang Yang;Wenjun Zhang

  • Blind Quality Assessment of Tone-Mapped Images Via Analysis of Information, Naturalness, and Structure

    Ke Gu;Shiqi Wang;Guangtao Zhai;Siwei Ma

  • Automatic Contrast Enhancement Technology With Saliency Preservation

    Ke Gu;Guangtao Zhai;Xiaokang Yang;Wenjun Zhang

  • A Fast Reliable Image Quality Predictor by Fusing Micro- and Macro-Structures

    Ke Gu;Leida Li;Hong Lu;Xiongkuo Min

  • Quality Evaluation of Image Dehazing Methods Using Synthetic Hazy Images

    Xiongkuo Min;Guangtao Zhai;Ke Gu;Yucheng Zhu

  • Deep Dual-Channel Neural Network for Image-Based Smoke Detection

    Ke Gu;Zhifang Xia;Junfei Qiao;Weisi Lin

  • Optimizing Multistage Discriminative Dictionaries for Blind Image Quality Assessment

    Qiuping Jiang;Feng Shao;Weisi Lin;Ke Gu

  • MC360IQA: A Multi-channel CNN for Blind 360-Degree Image Quality Assessment

    Wei Sun;Xiongkuo Min;Guangtao Zhai;Ke Gu

  • Recurrent Air Quality Predictor Based on Meteorology- and Pollution-Related Factors

    Ke Gu;Junfei Qiao;Weisi Lin

  • Analysis of Distortion Distribution for Pooling in Image Quality Prediction

    Ke Gu;Shiqi Wang;Guangtao Zhai;Weisi Lin

Frequent Co-Authors

Guangtao Zhai
Guangtao Zhai Shanghai Jiao Tong University
Xiaokang Yang
Xiaokang Yang Shanghai Jiao Tong University
Weisi Lin
Weisi Lin Nanyang Technological University
Wenjun Zhang
Wenjun Zhang Shanghai Jiao Tong University
Junfei Qiao
Junfei Qiao Beijing University of Technology
Shiqi Wang
Shiqi Wang City University of Hong Kong
Xiongkuo Min
Xiongkuo Min Shanghai Jiao Tong University
Siwei Ma
Siwei Ma Peking University
Wen Gao
Wen Gao Peking University
Patrick Le Callet
Patrick Le Callet University of Nantes

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

If you’re interested in studying Computer Science in the USA, there are a variety of related online degrees and flexible career pathways to consider. Many students start their educational journey with foundational qualifications. For those wanting a faster or more accessible route, some of the easiest associate's degree to get options help lay the groundwork for entry-level tech careers.

Advancing further, pursuing one of the inexpensive masters degrees can provide valuable technical and leadership skills while keeping education costs manageable. Those driven toward academic or high-level executive roles might explore doctoral pathways. For technology professionals interested in management, a phd in organizational leadership can open doors to organizational strategy and leadership positions.

Additionally, the ed.d educational leadership prepares graduates for technology leadership and teaching roles in academic environments. By exploring these online degree options, you can find a pathway that suits your ambitions—whether you want to jumpstart your career, specialize, or move into leadership within education or industry.

Best Scientists Citing Ke Gu

Trending Scientists

Recently Published Articles