World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
9011
World Ranking
5402
National Ranking
722

Zhen-Hua Ling 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 Zhen-Hua Ling 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: 241 publications — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Zhen-Hua Ling 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 Zhen-Hua Ling 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: 51 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

Zhen-Hua Ling is affiliated with the University of Science and Technology of China in China. Their research primarily focuses on the field of Computer Science, with a total of 370 publications. Within this broad area, their work encompasses various subfields including Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, and Computational Mechanics.

The scientist's research topics cover a wide range of areas related to speech and audio technologies. These include Speech Recognition and Synthesis, Speech and Audio Processing, Natural Language Processing Techniques, Topic Modeling, Music and Audio Processing, Speech and Dialogue Systems, and Blind Source Separation Techniques.

Zhen-Hua Ling has contributed to a number of recent scientific papers, including:

  • ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech, 2020, published in Computer Speech & Language
  • Encrypted Network Traffic Classification Using Deep and Parallel Network-in-Network Models, 2020, published in IEEE Access
  • Deep learning-based speech analysis for Alzheimer's disease detection: a literature review, 2022, published in Alzheimer s Research & Therapy
  • Corrective Retrieval Augmented Generation, 2025, published in SSRN Electronic Journal
  • Voice Conversion Challenge 2020: Intra-lingual semi-parallel and cross-lingual voice conversion, 2020, published in arXiv (Cornell University)

The scientist frequently publishes in venues such as arXiv (Cornell University), IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Signal Processing Letters, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), and IEEE Transactions on Audio Speech and Language Processing.

Frequent collaborators of Zhen-Hua Ling include Yang Ai, Jia-Chen Gu, Ye-Xin Lu, Quan Liu, and Hui-Peng Du. These coauthors have contributed to multiple publications alongside Ling, highlighting a network of ongoing research partnerships.

In addition to journal articles, Zhen-Hua Ling has contributed to book publications with Springer Science+Business Media. One such book is titled "Man-Machine Speech Communication," published in 2024.

Best Publications

  • Enhanced LSTM for Natural Language Inference

    Qian Chen;Xiaodan Zhu;Zhen-Hua Ling;Si Wei

  • ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech

    Xin Wang;Junichi Yamagishi;Junichi Yamagishi;Massimiliano Todisco;Héctor Delgado

  • The Voice Conversion Challenge 2018: Promoting Development of Parallel and Nonparallel Methods

    Jaime Lorenzo-Trueba;Junichi Yamagishi;Tomoki Toda;Daisuke Saito

  • 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

  • Neural Natural Language Inference Models Enhanced with External Knowledge

    Qian Chen;Xiaodan Zhu;Zhen-Hua Ling;Diana Inkpen

  • Voice conversion using deep neural networks with layer-wise generative training

    Ling-Hui Chen;Zhen-Hua Ling;Li-Juan Liu;Li-Rong Dai

  • Robust Speaker-Adaptive HMM-Based Text-to-Speech Synthesis

    J. Yamagishi;T. Nose;H. Zen;Zhen-Hua Ling

  • Learning Latent Representations for Style Control and Transfer in End-to-end Speech Synthesis

    Ya-Jie Zhang;Shifeng Pan;Lei He;Zhen-Hua Ling

  • Modeling Spectral Envelopes Using Restricted Boltzmann Machines and Deep Belief Networks for Statistical Parametric Speech Synthesis

    Zhen-Hua Ling;Li Deng;Dong Yu

  • Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots

    Jia-Chen Gu;Tianda Li;Quan Liu;Zhen-Hua Ling

  • Learning Semantic Word Embeddings based on Ordinal Knowledge Constraints

    Quan Liu;Hui Jiang;Si Wei;Zhen-Hua Ling

  • USTC System for Blizzard Challenge 2006 an Improved HMM-based Speech Synthesis Method

    Zhen-Hua Ling;Yi-Jian Wu;Yu-Ping Wang;Long Qin

  • Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification

    Zhi-Xiu Ye;Zhen-Hua Ling

  • WaveNet Vocoder with Limited Training Data for Voice Conversion.

    Li-Juan Liu;Zhen-Hua Ling;Yuan Jiang;Ming Zhou

  • Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions

    Zhi-Xiu Ye;Zhen-Hua Ling

  • Voice Conversion Challenge 2020: Intra-lingual semi-parallel and cross-lingual voice conversion.

    Yi Zhao;Wen-Chin Huang;Xiaohai Tian;Junichi Yamagishi

  • Enhancing and Combining Sequential and Tree LSTM for Natural Language Inference.

    Qian Chen;Xiaodan Zhu;Zhen-Hua Ling;Si Wei

  • Integrating Articulatory Features Into HMM-Based Parametric Speech Synthesis

    Zhen-Hua Ling;K. Richmond;J. Yamagishi;Ren-Hua Wang

  • Non-Parallel Sequence-to-Sequence Voice Conversion With Disentangled Linguistic and Speaker Representations

    Jing-Xuan Zhang;Zhen-Hua Ling;Li-Rong Dai

  • Sequence-to-Sequence Acoustic Modeling for Voice Conversion

    Jing-Xuan Zhang;Zhen-Hua Ling;Li-Juan Liu;Yuan Jiang

  • Deep Learning for Acoustic Modeling in Parametric Speech Generation

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

Frequent Co-Authors

Li-Rong Dai
Li-Rong Dai University of Science and Technology of China
Junichi Yamagishi
Junichi Yamagishi National Institute of Informatics
Xiaodan Zhu
Xiaodan Zhu Queen's University
Tomoki Toda
Tomoki Toda Nagoya University
Hui Jiang
Hui Jiang York University
Korin Richmond
Korin Richmond University of Edinburgh
Tomi Kinnunen
Tomi Kinnunen University of Eastern Finland
Diana Inkpen
Diana Inkpen University of Ottawa
Jun Du
Jun Du University of Science and Technology of China
Lei He
Lei He University of California, Los Angeles

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