World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
5446
World Ranking
11272
National Ranking
4655

Felix Juefei-Xu 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 Felix Juefei-Xu 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: 160 publications — 31st percentile

31% of scientists in this discipline score the same or lower.

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

Felix Juefei-Xu 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 Felix Juefei-Xu 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

Felix Juefei-Xu is affiliated with Facebook in the United States. Their research primarily lies within the domain of Computer Science, with a significant focus on Computer Vision and Pattern Recognition as well as Artificial Intelligence.

Their work encompasses a variety of topics including:

  • Adversarial Robustness in Machine Learning
  • Advanced Neural Network Applications
  • Anomaly Detection Techniques and Applications
  • Generative Adversarial Networks and Image Synthesis
  • Digital Media Forensic Detection
  • Advanced Image Processing Techniques
  • Image Enhancement Techniques

Felix Juefei-Xu has contributed to several recent papers, notable among them are:

  • Countering Malicious DeepFakes: Survey, Battleground, and Horizon (2022), published in International Journal of Computer Vision
  • EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • FakeLocator: Robust Localization of GAN-Based Face Manipulations (2022), published in IEEE Transactions on Information Forensics and Security
  • Fooling LiDAR Perception via Adversarial Trajectory Perturbation (2021), presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks (2022), published in ACM Transactions on Software Engineering and Methodology

The scientist has collaborated frequently with co-authors including Qing Guo, Yang Liu, Yihao Huang, Lei Ma, and Geguang Pu. The number of collaborations with these co-authors ranges from 22 to 52 publications.

Felix Juefei-Xu's work has appeared in multiple venues, with recurring publications in:

  • arXiv (Cornell University)
  • IEEE Transactions on Information Forensics and Security
  • IEEE Transactions on Multimedia
  • ACM Transactions on Software Engineering and Methodology
  • International Journal of Computer Vision

Best Publications

  • DeepGauge: multi-granularity testing criteria for deep learning systems

    Lei Ma;Felix Juefei-Xu;Fuyuan Zhang;Jiyuan Sun

  • DeepHunter: a coverage-guided fuzz testing framework for deep neural networks

    Xiaofei Xie;Lei Ma;Felix Juefei-Xu;Minhui Xue

  • DeepMutation: Mutation Testing of Deep Learning Systems

    Lei Ma;Lei Ma;Fuyuan Zhang;Jiyuan Sun;Minhui Xue

  • Local Binary Convolutional Neural Networks

    Felix Juefei-Xu;Vishnu Naresh Boddeti;Marios Savvides

  • FakeSpotter: A simple yet robust baseline for spotting AI-synthesized fake faces

    Run Wang;Felix Juefei-Xu;Lei Ma;Xiaofei Xie

  • DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms

    Hua Qi;Qing Guo;Felix Juefei-Xu;Xiaofei Xie

  • Investigating age invariant face recognition based on periocular biometrics

    Felix Juefei-Xu;Khoa Luu;Marios Savvides;Tien D. Bui

  • Countering Malicious DeepFakes: Survey, Battleground, and Horizon.

    Felix Juefei-Xu;Run Wang;Yihao Huang;Qing Guo

  • DeepCT: Tomographic Combinatorial Testing for Deep Learning Systems

    Lei Ma;Felix Juefei-Xu;Minhui Xue;Bo Li

  • NIR-VIS heterogeneous face recognition via cross-spectral joint dictionary learning and reconstruction

    Felix Juefei-Xu;Dipan K. Pal;Marios Savvides

  • Gait-ID on the move: Pace independent human identification using cell phone accelerometer dynamics

    Felix Juefei-Xu;Chandrasekhar Bhagavatula;Aaron Jaech;Unni Prasad

  • Auto-Exposure Fusion for Single-Image Shadow Removal

    Lan Fu;Changqing Zhou;Qing Guo;Felix Juefei-Xu

  • Driver cell phone usage detection on Strategic Highway Research Program (SHRP2) face view videos

    Keshav Seshadri;Felix Juefei-Xu;Dipan K. Pal;Marios Savvides

  • DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices

    Run Wang;Felix Juefei-Xu;Yihao Huang;Qing Guo

  • The Ninth Visual Object Tracking VOT2021 Challenge Results

    Matej Kristan;Jiri Matas;Ales Leonardis;Michael Felsberg

  • Subspace-Based Discrete Transform Encoded Local Binary Patterns Representations for Robust Periocular Matching on NIST’s Face Recognition Grand Challenge

    Felix Juefei-Xu;Marios Savvides

  • Spartans : Single-Sample Periocular-Based Alignment-Robust Recognition Technique Applied to Non-Frontal Scenarios

    Felix Juefei-Xu;Khoa Luu;Marios Savvides

  • EfficientDeRain: Learning pixel-wise dilation filtering for high-efficiency single-image deraining

    Qing Guo;Jingyang Sun;Felix Juefei-Xu;Lei Ma

  • FakeLocator: Robust Localization of GAN-Based Face Manipulations

    Yihao Huang;Felix Juefei-Xu;Run Wang;Qing Guo

  • SPARK: Spatial-Aware Online Incremental Attack Against Visual Tracking

    Qing Guo;Qing Guo;Xiaofei Xie;Felix Juefei-Xu;Lei Ma

  • DeepGender: Occlusion and Low Resolution Robust Facial Gender Classification via Progressively Trained Convolutional Neural Networks with Attention

    Felix Juefei-Xu;Eshan Verma;Parag Goel;Anisha Cherodian

  • DeepGauge: Comprehensive and Multi-Granularity Testing Criteria for Gauging the Robustness of Deep Learning Systems.

    Lei Ma;Felix Juefei-Xu;Jiyuan Sun;Chunyang Chen

  • Unconstrained periocular biometric acquisition and recognition using COTS PTZ camera for uncooperative and non-cooperative subjects

    Felix Juefei-Xu;Marios Savvides

  • EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining

    Qing Guo;Jingyang Sun;Felix Juefei-Xu;Lei Ma

Frequent Co-Authors

Xiaofei Xie
Xiaofei Xie Nanyang Technological University
Marios Savvides
Marios Savvides Carnegie Mellon University
Jianjun Zhao
Jianjun Zhao Kyushu University
Wei Feng
Wei Feng Tianjin University
Song Wang
Song Wang University of South Carolina
Chunyang Chen
Chunyang Chen Technical University of Munich
Yew-Soon Ong
Yew-Soon Ong Nanyang Technological University
Weisi Lin
Weisi Lin Nanyang Technological University
Chen Feng
Chen Feng New York University
Tien D. Bui
Tien D. Bui Concordia 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 online degrees related to Computer Science can open doors to exciting fields and in-demand careers. For example, pursuing an online electrical engineering degree offers competitive online electrical engineering career outcomes, including roles in automation, electronics, and renewable energy.

Looking for a faster entry into the tech sector? Consider the value of easy certifications to get that lead to well-paying jobs—ideal if you want to bolster your resume quickly or switch career paths without a full degree.

Time and budget are key factors when pursuing further education. If you need to accelerate your studies, check out the quickest cheapest masters degree options available online, many of which are highly relevant to computer science-related roles.

Finally, investing in a graduate degree can be a smart decision, but not all programs offer the same value. Research graduate degrees that are worth it to discover which pathways can drive long-term career success in the technology industry.

Best Scientists Citing Felix Juefei-Xu

Trending Scientists

Recently Published Articles