World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
7497
World Ranking
8006
National Ranking
104

Eng Siong Chng 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 Eng Siong Chng 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: 311 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Eng Siong Chng 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 Eng Siong Chng 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

Eng Siong Chng is affiliated with Nanyang Technological University in Singapore and has contributed extensively to the field of computer science, with a primary focus on artificial intelligence and signal processing.

Their research covers various subfields including:

  • Artificial Intelligence
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Experimental and Cognitive Psychology
  • Computational Mechanics

In terms of main research topics, their work spans:

  • Speech Recognition and Synthesis
  • Speech and Audio Processing
  • Music and Audio Processing
  • Natural Language Processing Techniques
  • Topic Modeling
  • Speech and Dialogue Systems
  • Advanced Data Compression Techniques

Eng Siong Chng has published numerous papers, including the following representative recent works:

  • "Speech Emotion Recognition with Co-Attention Based Multi-Level Acoustic Information", 2022, published in ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • "GDPNet: Refining Latent Multi-View Graph for Relation Extraction", 2021, published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Convmixer: Feature Interactive Convolution with Curriculum Learning for Small Footprint and Noisy Far-Field Keyword Spotting", 2022, published in ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • "Interactive Feature Fusion for End-to-End Noise-Robust Speech Recognition", 2022, published in ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • "Learning affective representations based on magnitude and dynamic relative phase information for speech emotion recognition", 2021, published in Speech Communication

Frequent co-authors collaborating with Eng Siong Chng include:

  • Yu-Chen Hu
  • Jia Qi Yip
  • Chen Chen
  • Dianwen Ng

Their publications appear prominently in venues such as:

  • arXiv (Cornell University)
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
  • Interspeech 2022
  • IEEE Transactions on Audio Speech and Language Processing

Best Publications

  • Regularized orthogonal least squares algorithm for constructing radial basis function networks

    S. Chen;E. S. Chng;K. Alkadhimi

  • A learning-based approach to direction of arrival estimation in noisy and reverberant environments

    Xiong Xiao;Shengkui Zhao;Xionghu Zhong;Douglas L. Jones

  • SpEx: Multi-Scale Time Domain Speaker Extraction Network

    Chenglin Xu;Wei Rao;Eng Siong Chng;Haizhou Li

  • Gradient radial basis function networks for nonlinear and nonstationary time series prediction

    E.S. Chng;S. Chen;B. Mulgrew

  • Vulnerability of speaker verification systems against voice conversion spoofing attacks: The case of telephone speech

    Tomi Kinnunen;Zhi-Zheng Wu;Kong Aik Lee;Filip Sedlak

  • Exemplar-based sparse representation with residual compensation for voice conversion

    Zhizheng Wu;Tuomas Virtanen;Eng Siong Chng;Haizhou Li

  • A first speech recognition system for Mandarin-English code-switch conversational speech

    Ngoc Thang Vu;Dau-Cheng Lyu;Jochen Weiner;Dominic Telaar

  • Unsupervised Domain Adaptation via Domain Adversarial Training for Speaker Recognition

    Qing Wang;Wei Rao;Sining Sun;Leib Xie

  • SpEx+: A Complete Time Domain Speaker Extraction Network.

    Meng Ge;Chenglin Xu;Longbiao Wang;Eng Siong Chng

  • Spoofing speech detection using high dimensional magnitude and phase features: the NTU approach for ASVspoof 2015 challenge.

    Xiong Xiao;Xiaohai Tian;Steven Du;Haihua Xu

  • Synthetic speech detection using temporal modulation feature

    Zhizheng Wu;Xiong Xiao;Eng Siong Chng;Haizhou Li

  • Sports highlight detection from keyword sequences using HMM

    Jinjun Wang;Changsheng Xu;Engsiong Chng;Qi Tian

  • SEAME: a Mandarin-English code-switching speech corpus in south-east asia.

    Dau-Cheng Lyu;Tien Ping Tan;Engsiong Chng;Haizhou Li

  • A study on spoofing attack in state-of-the-art speaker verification: the telephone speech case

    Zhizheng Wu;Tomi Kinnunen;Eng Siong Chng;Haizhou Li

  • Image Feature Representation of the Subband Power Distribution for Robust Sound Event Classification

    J. Dennis;Huy Dat Tran;Eng Siong Chng

  • Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on

    Tomi Kinnunen;Zhizheng Wu;Kong Aik Lee;Filip Sedlak

  • Overlapping sound event recognition using local spectrogram features and the generalised hough transform

    J. Dennis;J. Dennis;H.D. Tran;E.S. Chng

  • On time-frequency mask estimation for MVDR beamforming with application in robust speech recognition

    Xiong Xiao;Shengkui Zhao;Douglas L. Jones;Eng Siong Chng

  • Integrating Acoustic, Prosodic and Phonotactic Features for Spoken Language Identification

    Rong Tong;Bin Ma;Donglai Zhu;Haizhou Li

  • Normalization of the Speech Modulation Spectra for Robust Speech Recognition

    Xiong Xiao;Eng Siong Chng;Haizhou Li

Frequent Co-Authors

Haizhou Li
Haizhou Li Chinese University of Hong Kong, Shenzhen
Zhizheng Wu
Zhizheng Wu Chinese University of Hong Kong, Shenzhen
Tomi Kinnunen
Tomi Kinnunen University of Eastern Finland
Bernard Mulgrew
Bernard Mulgrew University of Edinburgh
Lei Wang
Lei Wang University of Wollongong
Sheng Chen
Sheng Chen University of Southampton
Jinjun Wang
Jinjun Wang Xi'an Jiaotong University
Changsheng Xu
Changsheng Xu Chinese Academy of Sciences
Chin-Hui Lee
Chin-Hui Lee Georgia Institute of Technology
Douglas L. Jones
Douglas L. Jones University of Illinois at Urbana-Champaign

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