World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
11377
World Ranking
4580
National Ranking
613

Helen Meng 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 Helen Meng 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: 461 publications — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Helen Meng 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 Helen Meng 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: 54 D-Index — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Overview

Helen Meng is affiliated with the Chinese University of Hong Kong in China and has contributed extensively to the fields of computer science, particularly focusing on artificial intelligence and signal processing. Their research intersects with several subfields, including computer vision and pattern recognition, physiology, and experimental and cognitive psychology.

Their work spans multiple key topics such as:

  • Speech Recognition and Synthesis
  • Speech and Audio Processing
  • Music and Audio Processing
  • Natural Language Processing Techniques
  • Topic Modeling
  • Speech and dialogue systems
  • Voice and Speech Disorders

Helen Meng has published numerous papers, including recent notable works such as:

  • "MFA-Conformer: Multi-scale Feature Aggregation Conformer for Automatic Speaker Verification," 2022, Interspeech 2022
  • "Recent Progress in the CUHK Dysarthric Speech Recognition System," 2021, IEEE/ACM Transactions on Audio Speech and Language Processing
  • "Any-to-Many Voice Conversion With Location-Relative Sequence-to-Sequence Modeling," 2021, IEEE/ACM Transactions on Audio Speech and Language Processing
  • "InstructTTS: Modelling Expressive TTS in Discrete Latent Space With Natural Language Style Prompt," 2024, IEEE/ACM Transactions on Audio Speech and Language Processing
  • "DiffSVC: A Diffusion Probabilistic Model for Singing Voice Conversion," 2021, 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)

The scientist frequently collaborates with other researchers, including Xunying Liu, Xixin Wu, Zhiyong Wu, Mengzhe Geng, and Shoukang Hu, reflecting strong collaborative ties in the field.

Helen Meng's research has been published predominantly in venues such as:

  • arXiv (Cornell University)
  • Interspeech 2022
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Annals of the Rheumatic Diseases

The overall scholarly output of Helen Meng reflects a focused investment in advancing computational techniques for speech and audio analysis through multiple perspectives, combining signal processing methods with artificial intelligence to address challenges in voice conversion, speech recognition for impaired speech, and expressive text-to-speech modeling.

Best Publications

  • Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings

    Pengfei Liu;Shafiq Joty;Helen Meng

  • A form-based dialogue manager for spoken language applications

    D. Goddeau;H. Meng;J. Polifroni;S. Seneff

  • WHEELS: a conversational system in the automobile classifieds domain

    H. Meng;S. Busayapongchai;J. Giass;D. Goddeau

  • Phonetic posteriorgrams for many-to-one voice conversion without parallel data training

    Lifa Sun;Kun Li;Hao Wang;Shiyin Kang

  • Deep Learning for Acoustic Modeling in Parametric Speech Generation: A systematic review of existing techniques and future trends

    Zhen-Hua Ling;Shi-Yin Kang;Heiga Zen;Andrew Senior

  • Voice conversion using deep Bidirectional Long Short-Term Memory based Recurrent Neural Networks

    Lifa Sun;Shiyin Kang;Kun Li;Helen Meng

  • From interface to content: translingual access and delivery of on-line information.

    Victor W. Zue;Stephanie Seneff;James R. Glass;I. Lee Hetherington

  • Generating phonetic cognates to handle named entities in English-Chinese cross-language spoken document retrieval

    H.M. Meng;Wai-Kit Lo;Berlin Chen;K. Tang

  • VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice Conversion

    Unknown

  • Replay and Synthetic Speech Detection with Res2Net Architecture

    Xu Li;Na Li;Chao Weng;Xunying Liu

  • Mispronunciation Detection and Diagnosis in L2 English Speech Using Multidistribution Deep Neural Networks

    Kun Li;Xiaojun Qian;Helen Meng

  • Spoken language resources for Cantonese speech processing

    Tan Lee;W. K. Lo;P. C. Ching;Helen Meng

  • Multi-distribution deep belief network for speech synthesis

    Shiyin Kang;Xiaojun Qian;Helen Meng

  • Semi-Supervised Graph Classification: A Hierarchical Graph Perspective

    Jia Li;Yu Rong;Hong Cheng;Helen Meng

  • Implementation of an extended recognition network for mispronunciation detection and diagnosis in computer-assisted pronunciation training.

    Alissa M. Harrison;Wai-Kit Lo;Xiaojun Qian;Helen Meng

  • Crowdsourcing for Speech Processing: Applications to Data Collection, Transcription and Assessment

    Maxine Eskenazi;Gina-Anne Levow;Helen Meng;Gabriel Parent

  • InstructTTS: Modelling Expressive TTS in Discrete Latent Space With Natural Language Style Prompt

    Unknown

  • Speech Emotion Recognition Using Capsule Networks

    Xixin Wu;Songxiang Liu;Yuewen Cao;Xu Li

  • Multi-level fusion of audio and visual features for speaker identification

    Zhiyong Wu;Lianhong Cai;Helen Meng

  • The use of belief networks for mixed-initiative dialog modeling

    H.M. Meng;C. Wai;R. Pieraccini

  • A system for spoken query information retrieval on mobile devices

    E. Chang;F. Seide;H.M. Meng;Zhuoran Chen

  • Deep Learning for Acoustic Modeling in Parametric Speech Generation

    Zhen-Hua Ling;Shi-yin Kang;Heiga Zen;Andrew Senior

Frequent Co-Authors

Dong Yu
Dong Yu Tencent (China)
Wai Lam
Wai Lam Chinese University of Hong Kong
Man-Wai Mak
Man-Wai Mak Hong Kong Polytechnic University
Frank K. Soong
Frank K. Soong Microsoft Research Asia (China)
Hsin-Min Wang
Hsin-Min Wang Academia Sinica
Zhifeng Li
Zhifeng Li Tencent (China)
Hung-yi Lee
Hung-yi Lee National Taiwan University
Roberto Pieraccini
Roberto Pieraccini Google (United States)

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