World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
74
Citations
24353
World Ranking
1479
National Ranking
771

Xuedong Huang 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 Xuedong Huang 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: 252 publications — 63rd percentile

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

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

Xuedong Huang 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 Xuedong Huang 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: 74 D-Index — 90th percentile

90% 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

  • 2016 - ACM Fellow For contributions to spoken language processing.

Overview

Xuedong Huang is affiliated with Microsoft in the United States. Their research predominantly occupies the fields of Engineering and Computer Science, with a focus on specific subfields such as Aerospace Engineering, Electrical and Electronic Engineering, Building and Construction, Artificial Intelligence, and Information Systems.

The scientist has contributed to multiple areas within their research domain. The main topics covered in their work include:

  • Air Traffic Management and Optimization
  • UAV Applications and Optimization
  • Traffic Prediction and Management Techniques
  • Vehicular Ad Hoc Networks (VANETs)
  • Machine Learning and ELM
  • Energy Load and Power Forecasting
  • Advanced Decision-Making Techniques

Xuedong Huang has coauthored publications with several frequent collaborators, including Zhaoyue Zhang, An Zhang, Cong Sun, Jichen Guan, and Shanmei Li.

Their work has been published in a variety of venues, reflecting the interdisciplinary nature of their research. These venues include:

  • IEEE Transactions on Intelligent Transportation Systems
  • Mobile Networks and Applications
  • IEEE Access
  • IEEE Transactions on Instrumentation and Measurement
  • 2022 IEEE International Conference on Unmanned Systems (ICUS)

Selected recent papers by Xuedong Huang demonstrate a focus on conflict detection, traffic flow forecasting, and positioning methods. These include:

  • "Cooperative Conflict Detection and Resolution and Safety Assessment for 6G Enabled Unmanned Aerial Vehicles" (2022), published in IEEE Transactions on Intelligent Transportation Systems
  • "Research on Air Traffic Flow Forecast Based on ELM Non-Iterative Algorithm" (2020), published in Mobile Networks and Applications
  • "The Reliability Analysis of Air Traffic Network Based on Trajectory Clustering of Terminal Area" (2020), published in IEEE Access
  • "A Novel GNSS Quality Control Method With Satellite Geometric Network for Dynamic Urban Positioning" (2024), published in IEEE Transactions on Instrumentation and Measurement
  • "An Artificial Potential Field Based Cooperative UAV Conflict Detection and Resolution under Uncertain Communication Environment" (2022), published in 2022 IEEE International Conference on Unmanned Systems (ICUS)

Their research contributions extend to topics in unmanned aerial vehicle (UAV) conflict resolution, air traffic flow forecast algorithms utilizing machine learning techniques such as Extreme Learning Machines (ELM), and quality control methods in global navigation satellite systems (GNSS) for dynamic urban positioning.

Xuedong Huang received recognition as an ACM Fellow in 2016 for contributions to spoken language processing, indicating a breadth of expertise extending into language-related computational research.

Best Publications

  • Spoken Language Processing: A Guide to Theory, Algorithm, and System Development

    Xuedong Huang;Alex Acero;Hsiao-Wuen Hon;Raj Reddy

  • Hidden Markov Models for Speech Recognition

    Xuedong Huang;Yasuo Ariki;Mervyn Jack

  • Spoken Language Processing

    Alex Acero;Xuedong Huang;Hsiao-Wuen Hon

  • The Microsoft 2017 Conversational Speech Recognition System

    W. Xiong;L. Wu;F. Alleva;J. Droppo

  • Achieving Human Parity on Automatic Chinese to English News Translation

    Hany Hassan;Anthony Aue;Chang Chen;Vishal Chowdhary

  • The SPHINX-II Speech Recognition System: An Overview

    Xuedong Huang;Fileno Alleva;Hsiao Hon;Mei Hwang

  • Achieving Human Parity in Conversational Speech Recognition

    Wayne Xiong;Jasha Droppo;Xuedong Huang;Frank Seide

  • An Introduction to Computational Networks and the Computational Network Toolkit

    Dong Yu;Adam Eversole;Mike Seltzer;Kaisheng Yao

  • Semi-continuous hidden Markov models for speech signals

    X. D. Huang;M. A. Jack

  • Method and system of runtime acoustic unit selection for speech synthesis

    Alejandro Acero;James L. Adcock;Xuedong D. Huang;Michael D. Plumpe

  • Information retrieval and speech recognition based on language models

    Milind V. Mahajan;Xuedong D. Huang

  • Proofreading with text to speech feedback

    Hsiao-Wuen Hon;Dong Li;Xuedong Huang;Yun-Chen Ju

  • Large-vocabulary speech recognition under adverse acoustic environments.

    Li Deng;Alex Acero;Mike Plumpe;Xuedong Huang

  • Text-to-speech using clustered context-dependent phoneme-based units

    Alejandro Acero;Hsiao-Wuen Hon;Xuedong D. Huang

  • The microsoft 2016 conversational speech recognition system

    W. Xiong;J. Droppo;X. Huang;F. Seide

  • Desktop search from mobile device

    Raymond E. Ozzie;Eric J. Horvitz;William H. Gates;Joshua T. Goodman

  • Predicting unseen triphones with senones

    Mei-Yuh Hwang;Xuedong Huang;F.A. Alleva

  • Toward Human Parity in Conversational Speech Recognition

    Wayne Xiong;Jasha Droppo;Xuedong Huang;Frank Seide

  • Challenges in adopting speech recognition

    Li Deng;Xuedong Huang

  • Efficient cepstral normalization for robust speech recognition

    Fu-Hua Liu;Richard M. Stern;Xuedong Huang;Alejandro Acero

  • Context-sensitive query enrichment

    Marc E. Davis;Matthew G. Dyor;William Gates;Xuedong Huang

Frequent Co-Authors

Marc Davis
Marc Davis Microsoft (United States)
Robert W. Lord
Robert W. Lord IBM (United States)
Mark A. Malamud
Mark A. Malamud Microsoft (United States)
Richard T. Lord
Richard T. Lord Microsoft (United States)
Mei-Yuh Hwang
Mei-Yuh Hwang Microsoft (United States)
Alejandro Acero
Alejandro Acero Apple (United States)
Li Deng
Li Deng Citadel
Hsiao-Wuen Hon
Hsiao-Wuen Hon Microsoft Research Asia (China)
Clarence T. Tegreene
Clarence T. Tegreene Microsoft (United States)
Roderick A. Hyde
Roderick A. Hyde Lawrence Livermore National Laboratory

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