World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
5669
World Ranking
9844
National Ranking
1236

Feng Lu 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 Feng Lu 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: 88 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Feng Lu 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 Feng Lu 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Feng Lu is affiliated with Beihang University in China and has made extensive contributions across multiple domains in science and engineering. Their research spans computer science, medicine, and engineering, with a notable focus on computer vision, human-computer interaction, and biomedical engineering.

Their work notably intersects several subfields of study including:

  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Biomedical Engineering
  • Molecular Biology
  • Artificial Intelligence

Feng Lu's research also covers a variety of specialized topics, with significant publications related to:

  • Gaze Tracking and Assistive Technology
  • Advanced Computing and Algorithms
  • Hand Gesture Recognition Systems
  • Image Enhancement Techniques
  • Retinal Imaging and Analysis
  • Video Surveillance and Tracking Methods
  • Visual Attention and Saliency Detection

Their recent influential papers include:

  • "Understanding adversarial attacks on deep learning based medical image analysis systems," published in 2020 in Pattern Recognition
  • "Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study," published in 2020 in IEEE Transactions on Image Processing
  • "Attention Guided Low-Light Image Enhancement with a Large Scale Low-Light Simulation Dataset," published in 2021 in International Journal of Computer Vision
  • "A deep learning system for predicting time to progression of diabetic retinopathy," published in 2024 in Nature Medicine
  • "Gaze Estimation by Exploring Two-Eye Asymmetry," published in 2020 in IEEE Transactions on Image Processing

Feng Lu frequently collaborates with several researchers. The most common coauthors include:

  • Haofei Wang
  • Yunfei Liu
  • Yihua Cheng
  • Qijun Yao
  • Yiwei Bao

Their work has been published in numerous venues, with multiple papers appearing in:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • SID Symposium Digest of Technical Papers
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Visualization and Computer Graphics

Best Publications

  • Understanding adversarial attacks on deep learning based medical image analysis systems

    Xingjun Ma;Yuhao Niu;Lin Gu;Yisen Wang

  • Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks

    Yunfei Liu;Xingjun Ma;James Bailey;Feng Lu

  • MBLLEN: Low-Light Image/Video Enhancement Using CNNs.

    Feifan Lv;Feng Lu;Jianhua Wu;Chongsoon Lim

  • Attention Guided Low-Light Image Enhancement with a Large Scale Low-Light Simulation Dataset

    Feifan Lv;Yu Li;Feng Lu

  • Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study

    Wenhan Yang;Ye Yuan;Wenqi Ren;Jiaying Liu

  • Adaptive Linear Regression for Appearance-Based Gaze Estimation.

    Feng Lu;Yusuke Sugano;Takahiro Okabe;Yoichi Sato

  • Appearance-Based Gaze Estimation via Evaluation-Guided Asymmetric Regression

    Yihua Cheng;Feng Lu;Xucong Zhang

  • Inferring human gaze from appearance via adaptive linear regression

    Feng Lu;Yusuke Sugano;Takahiro Okabe;Yoichi Sato

  • A Coarse-to-Fine Adaptive Network for Appearance-Based Gaze Estimation

    Yihua Cheng;Shiyao Huang;Fei Wang;Chen Qian

  • Gaze Estimation by Exploring Two-Eye Asymmetry

    Yihua Cheng;Xucong Zhang;Feng Lu;Yoichi Sato

  • VoxSegNet: Volumetric CNNs for Semantic Part Segmentation of 3D Shapes

    Zongji Wang;Feng Lu

  • Unsupervised Learning for Intrinsic Image Decomposition From a Single Image

    Yunfei Liu;Yu Li;Shaodi You;Feng Lu

  • A Head Pose-free Approach for Appearance-based Gaze Estimation

    Feng Lu;Takahiro Okabe;Yusuke Sugano;Yoichi Sato

  • Learning gaze biases with head motion for head pose-free gaze estimation

    Feng Lu;Takahiro Okabe;Yusuke Sugano;Yoichi Sato

  • Detail Preserving Depth Estimation from a Single Image Using Attention Guided Networks

    Zhixiang Hao;Yu Li;Shaodi You;Feng Lu

  • Polarization Guided Specular Reflection Separation

    Sijia Wen;Yinqiang Zheng;Feng Lu

  • PureGaze: Purifying Gaze Feature for Generalizable Gaze Estimation.

    Yihua Cheng;Yiwei Bao;Feng Lu

  • Uncalibrated Photometric Stereo for Unknown Isotropic Reflectances

    Feng Lu;Yasuyuki Matsushita;Imari Sato;Takahiro Okabe

  • Gaze Estimation From Eye Appearance: A Head Pose-Free Method via Eye Image Synthesis

    Feng Lu;Yusuke Sugano;Takahiro Okabe;Yoichi Sato

  • Adaptive Feature Fusion Network for Gaze Tracking in Mobile Tablets

    Yiwei Bao;Yihua Cheng;Yunfei Liu;Feng Lu

  • Look, Perceive and Segment: Finding the Salient Objects in Images via Two-stream Fixation-Semantic CNNs

    Xiaowu Chen;Anlin Zheng;Jia Li;Feng Lu

  • Head pose-free appearance-based gaze sensing via eye image synthesis

    Feng Lu;Yusuke Sugano;Takahiro Okabe;Yoichi Sato

  • Explainable Diabetic Retinopathy Detection and Retinal Image Generation

    Yuhao Niu;Lin Gu;Yitian Zhao;Feng Lu

Frequent Co-Authors

Yoichi Sato
Yoichi Sato University of Tokyo
Yinqiang Zheng
Yinqiang Zheng National Institute of Informatics
Shaodi You
Shaodi You University of Amsterdam
Yusuke Sugano
Yusuke Sugano University of Tokyo
Yitian Zhao
Yitian Zhao Chinese Academy of Sciences
Yasuyuki Matsushita
Yasuyuki Matsushita Microsoft Research Asia Tokyo
James Bailey
James Bailey University of Melbourne
Yue Gao
Yue Gao Tsinghua University
Qionghai Dai
Qionghai Dai Tsinghua University
Sai-Kit Yeung
Sai-Kit Yeung Hong Kong University of Science and Technology

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 computer science opens access to a range of online programs and career opportunities beyond a traditional degree. For those interested in strong technical foundations, an online bachelor’s in electrical engineering blends well with computer science skills, offering expertise in areas like hardware design, embedded systems, and IoT technologies.

If you are looking to quickly elevate your credentials, numerous certificate programs that pay well are available online. These certification courses are ideal for specialization in fields such as cybersecurity, cloud computing, or IT project management, and often lead to lucrative roles without the need for a full degree.

For career advancement or a swift entry into specialized positions, consider the fastest online master's degree options. These accelerated programs allow working professionals to gain advanced skills efficiently and flexibly.

When choosing a master’s program, focus on masters degrees that are worth it. These valuable degrees tend to be in high demand across technology sectors and can significantly boost your marketability and long-term earning potential.

Best Scientists Citing Feng Lu

Trending Scientists

Recently Published Articles