World's Best Scientists 2026 revealed!
Award Badge
Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
98
Citations
34623
World Ranking
408
National Ranking
53

DeLiang Wang 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 DeLiang Wang 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: 498 publications — 93rd percentile

93% of scientists in this discipline score the same or lower.

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

DeLiang Wang 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 DeLiang Wang 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: 98 D-Index — 97th percentile

97% 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

  • 2026 - Research.com Computer Science in China Leader Award
  • 2004 - IEEE Fellow For contributions to advancing oscillatory correlation theory and its application to auditory and visual scene analysis.

Overview

DeLiang Wang is affiliated with The Ohio State University in the United States. Their research spans primarily the fields of Computer Science and Engineering, with significant contributions in subfields such as Signal Processing, Artificial Intelligence, Computational Mechanics, Cognitive Neuroscience, and Electrical and Electronic Engineering.

The main topics of their work focus heavily on Speech and Audio Processing, Speech Recognition and Synthesis, and Advanced Adaptive Filtering Techniques. Additional areas of research include Music and Audio Processing, Hearing Loss and Rehabilitation, Indoor and Outdoor Localization Technologies, and Acoustic Wave Phenomena Research.

DeLiang Wang has coauthored extensively with several collaborators, including Ashutosh Pandey, Heming Wang, Buye Xu, Hassan Taherian, and Zhong-Qiu Wang.

The scientist has published research in multiple reputable venues, notably:

  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • arXiv (Cornell University)
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • The Journal of the Acoustical Society of America
  • Interspeech 2022

Among recent publications are the following works:

  • Complex Spectral Mapping for Single- and Multi-Channel Speech Enhancement and Robust ASR (2020), IEEE/ACM Transactions on Audio Speech and Language Processing
  • Dense CNN With Self-Attention for Time-Domain Speech Enhancement (2021), IEEE/ACM Transactions on Audio Speech and Language Processing
  • Deep ANC: A deep learning approach to active noise control (2021), Neural Networks
  • Monaural Speech Dereverberation Using Temporal Convolutional Networks With Self Attention (2020), IEEE/ACM Transactions on Audio Speech and Language Processing
  • Multi-microphone Complex Spectral Mapping for Utterance-wise and Continuous Speech Separation (2021), IEEE/ACM Transactions on Audio Speech and Language Processing

DeLiang Wang was recognized as an IEEE Fellow in 2004 for contributions to advancing oscillatory correlation theory and its application to auditory and visual scene analysis.

Best Publications

  • Supervised Speech Separation Based on Deep Learning: An Overview

    DeLiang Wang;Jitong Chen

  • Computational Auditory Scene Analysis: Principles, Algorithms, and Applications

    DeLiang Wang;Guy J. Brown

  • On training targets for supervised speech separation

    Yuxuan Wang;Arun Narayanan;DeLiang Wang

  • Complex ratio masking for monaural speech separation

    Donald S. Williamson;Yuxuan Wang;DeLiang Wang

  • On Ideal Binary Mask As the Computational Goal of Auditory Scene Analysis

    DeLiang Wang

  • Ideal ratio mask estimation using deep neural networks for robust speech recognition

    Arun Narayanan;DeLiang Wang

  • Speech segregation based on sound localization

    Nicoleta Roman;DeLiang Wang;Guy J. Brown

  • Monaural speech segregation based on pitch tracking and amplitude modulation

    Guoning Hu;DeLiang Wang

  • Towards Scaling Up Classification-Based Speech Separation

    Yuxuan Wang;DeLiang Wang

  • The unimportance of phase in speech enhancement

    D. Wang;Jae Lim

  • Global competition and local cooperation in a network of neural oscillators

    David Terman;DeLiang Wang

  • Isolating the energetic component of speech-on-speech masking with ideal time-frequency segregation.

    Douglas S. Brungart;Peter S. Chang;Brian D. Simpson;DeLiang Wang

  • A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement.

    Ke Tan;DeLiang Wang

  • Image segmentation based on oscillatory correlation

    DeLiang Wang;David Terman

  • Separation of speech from interfering sounds based on oscillatory correlation

    DeLiang L. Wang;G.J. Brown

  • A multipitch tracking algorithm for noisy speech

    Mingyang Wu;DeLiang Wang;G.J. Brown

  • A Tandem Algorithm for Pitch Estimation and Voiced Speech Segregation

    Guoning Hu;DeLiang Wang

  • Locally excitatory globally inhibitory oscillator networks

    DeLiang Wang;D. Terman

  • TCNN: Temporal Convolutional Neural Network for Real-time Speech Enhancement in the Time Domain

    Ashutosh Pandey;DeLiang Wang

  • Learning Complex Spectral Mapping With Gated Convolutional Recurrent Networks for Monaural Speech Enhancement

    Ke Tan;DeLiang Wang

  • A multi-pitch tracking algorithm for noisy speech

    Mingyang Wu;DeLiang Wang;Guy J. Brown

  • MONAURAL SPEECH SEGREGATION BASED ON PITCH TRACKING AND

    Biophysics Program;DeLiang Wang

Frequent Co-Authors

Yuxuan Wang
Yuxuan Wang ByteDance
Guy J. Brown
Guy J. Brown University of Sheffield
Zhong-Qiu Wang
Zhong-Qiu Wang Southern University of Science and Technology
Xiuwen Liu
Xiuwen Liu Florida State University
Michael A. Arbib
Michael A. Arbib University of Southern California
Tao Zhang
Tao Zhang Chinese Academy of Sciences
Anuj Srivastava
Anuj Srivastava Florida State University
Jan Larsen
Jan Larsen Technical University of Denmark
Ken Nakayama
Ken Nakayama Harvard University
Barbara G. Shinn-Cunningham
Barbara G. Shinn-Cunningham Carnegie Mellon 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

As the demand for tech professionals continues to grow, students now have more flexibility and options than ever before. Many seek computer science accelerated program options to complete their degrees faster and enter the workforce sooner. For those who may have struggled academically, there are also online colleges that accept low gpa, making higher education accessible to a broader range of learners.

Studying computer science also opens the door to interdisciplinary pathways. Individuals interested in sustainability, technology, and the environment can consider pursuing related fields. For example, you might explore what you can do with an environmental science degree, connecting computing skills to ecological and environmental challenges. Alternatively, online programs focused on engineering, such as the environmental engineering online degree, offer affordable, flexible routes into specialized career paths that benefit from expertise in both computer science and sustainability.

Best Scientists Citing DeLiang Wang

Trending Scientists

Recently Published Articles