World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
9293
World Ranking
7886
National Ranking
382

Bin Yang 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 Bin Yang 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: 272 publications — 68th percentile

68% of scientists in this discipline score the same or lower.

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

Bin Yang 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 Bin Yang 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Bin Yang is affiliated with the University of Stuttgart in Germany. Their research spans multiple intersecting fields including Computer Science, Medicine, and Engineering, with a notable focus on subfields such as Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cognitive Neuroscience, and Biomedical Engineering.

The scientist's work covers diverse topics with significant emphasis on:

  • Radiomics and Machine Learning in Medical Imaging
  • Domain Adaptation and Few-Shot Learning
  • Advanced MRI Techniques and Applications
  • Advanced Neural Network Applications
  • EEG and Brain-Computer Interfaces
  • Anomaly Detection Techniques and Applications
  • Muscle activation and electromyography studies

Frequent publication venues for Bin Yang include:

  • arXiv (Cornell University)
  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • 2022 International Joint Conference on Neural Networks (IJCNN)
  • 2021 29th European Signal Processing Conference (EUSIPCO)
  • Radiology Artificial Intelligence

Some recent papers authored or co-authored by Bin Yang include:

  • "CMGAN: Conformer-Based Metric-GAN for Monaural Speech Enhancement" (2024) published in IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Independent attenuation correction of whole body [18F]FDG-PET using a deep learning approach with Generative Adversarial Networks" (2020) published in EJNMMI Research
  • "Fully Automated and Standardized Segmentation of Adipose Tissue Compartments via Deep Learning in 3D Whole-Body MRI of Epidemiologic Cohort Studies" (2020) published in Radiology Artificial Intelligence
  • "Independent brain 18F-FDG PET attenuation correction using a deep learning approach with Generative Adversarial Networks." (2020) published in PubMed
  • "Uncertainty estimation and explainability in deep learning-based age estimation of the human brain: Results from the German National Cohort MRI study" (2021) published in Computerized Medical Imaging and Graphics

Bin Yang collaborates regularly with several researchers. Notable frequent co-authors include:

  • Sergios Gatidis
  • Tobias Hepp
  • Fritz Schick
  • Thomas Küstner
  • Karim Armanious

Best Publications

  • Projection approximation subspace tracking

    Bin Yang

  • MedGAN: Medical Image Translation using GANs

    Karim Armanious;Chenming Jiang;Marc Fischer;Thomas Küstner

  • MedGAN: Medical image translation using GANs

    Karim Armanious;Karim Armanious;Chenming Jiang;Marc Fischer;Thomas Küstner

  • High-Performance Automotive Radar: A review of signal processing algorithms and modulation schemes

    Gor Hakobyan;Bin Yang

  • Emotion recognition from speech signals using new harmony features

    B. Yang;M. Lugger

  • Cramer-Rao bound and optimum sensor array for source localization from time differences of arrival

    B. Yang;J. Scheuing

  • A new approach for supervised power disaggregation by using a deep recurrent LSTM network

    Lukas Mauch;Bin Yang

  • Camera-based drowsiness reference for driver state classification under real driving conditions

    Fabian Friedrichs;Bin Yang

  • An extension of the PASTd algorithm to both rank and subspace tracking

    Bin Yang

  • ${W}$ -Band Time-Domain Multiplexing FMCW MIMO Radar for Far-Field 3-D Imaging

    Daniela Bleh;Markus Rosch;Michael Kuri;Alexander Dyck

  • The Relevance of Voice Quality Features in Speaker Independent Emotion Recognition

    M. Lugger;Bin Yang

  • Rotation-based RLS algorithms: unified derivations, numerical properties, and parallel implementations

    B. Yang;J.F. Bohme

  • Retrospective correction of motion-affected MR images using deep learning frameworks.

    Thomas Küstner;Thomas Küstner;Karim Armanious;Jiahuan Yang;Bin Yang

  • Deep Learning-based Object Classification on Automotive Radar Spectra

    Kanil Patel;Kilian Rambach;Tristan Visentin;Daniel Rusev

  • Disambiguation of TDOA Estimation for Multiple Sources in Reverberant Environments

    J. Scheuing;Bin Yang

  • Automated reference-free detection of motion artifacts in magnetic resonance images.

    Thomas Küstner;Thomas Küstner;Annika Liebgott;Annika Liebgott;Lukas Mauch;Petros Martirosian

  • Asymptotic convergence analysis of the projection approximation subspace tracking algorithms

    Bin Yang

  • Unsupervised Medical Image Translation Using Cycle-MedGAN

    Karim Armanious;Chenming Jiang;Sherif Abdulatif;Thomas Kustner

  • Different Sensor Placement Strategies for TDOA Based Localization

    Bin Yang

  • Automated Detection of Solar Cell Defects with Deep Learning

    Alexander Bartler;Lukas Mauch;Bin Yang;Michael Reuter

  • Single snapshot DOA estimation

    P. Häcker;B. Yang

Frequent Co-Authors

Fritz Schick
Fritz Schick University of Tübingen
Konstantin Nikolaou
Konstantin Nikolaou University of Tübingen
Michael Pfeiffer
Michael Pfeiffer Bosch Center for Artificial Intelligence
Marc L. Fischer
Marc L. Fischer Lawrence Berkeley National Laboratory
Thierry Blu
Thierry Blu Chinese University of Hong Kong
René M. Botnar
René M. Botnar Pontificia Universidad Católica de Chile
Jürgen Machann
Jürgen Machann University of Tübingen
Claudia Prieto
Claudia Prieto Pontificia Universidad Católica de Chile
Michael Erb
Michael Erb Max Planck Institute for Biological Cybernetics
Aleksandar Kavcic
Aleksandar Kavcic University of Hawaii at Manoa

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