World's Best Scientists 2026 revealed!
Kwok-Leung Tsui

Kwok-Leung Tsui

D-Index & Metrics

Computer Science

D-Index
76
Citations
20218
World Ranking
1357
National Ranking
709

Kwok-Leung Tsui 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 Kwok-Leung Tsui 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: 350 publications — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Kwok-Leung Tsui 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 Kwok-Leung Tsui 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: 76 D-Index — 91st percentile

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

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

Overview

Kwok-Leung Tsui is affiliated with Virginia Tech in the United States and has contributed extensively to the field of Engineering, focusing particularly on Control and Systems Engineering, Mechanical Engineering, Electrical and Electronic Engineering, Transportation, and Automotive Engineering.

Their research addresses a range of technical and applied topics, including:

  • Machine Fault Diagnosis Techniques
  • Advanced Battery Technologies Research
  • Advancements in Battery Materials
  • Gear and Bearing Dynamics Analysis
  • Transportation Planning and Optimization
  • Balance, Gait, and Falls Prevention
  • Traffic Prediction and Management Techniques

Notable recent publications by Kwok-Leung Tsui include:

  • Early prediction of battery lifetime via a machine learning based framework, 2021, Energy
  • Online-review analysis based large-scale group decision-making for determining passenger demands and evaluating passenger satisfaction: Case study of high-speed rail system in China, 2020, Information Fusion
  • Lifespan prediction of lithium-ion batteries based on various extracted features and gradient boosting regression tree model, 2020, Journal of Power Sources
  • Life prediction of lithium-ion batteries based on stacked denoising autoencoders, 2020, Reliability Engineering & System Safety
  • Battery state of health modeling and remaining useful life prediction through time series model, 2020, Applied Energy

Frequent collaborators include Zijun Zhang, Yang Zhao, Fangfang Yang, Dong Wang, and Hailiang Wang, with whom Tsui has coauthored numerous works. This network of coauthors has contributed to advancing research in related engineering and technological domains.

Kwok-Leung Tsui's work has been published repeatedly in certain venues, such as:

  • arXiv (Cornell University)
  • Mechanical Systems and Signal Processing
  • SSRN Electronic Journal
  • IEEE Transactions on Instrumentation and Measurement
  • Sensors

The breadth of Kwok-Leung Tsui's research spans various aspects of engineering systems, including both theoretical developments and practical applications related to battery technologies, mechanical system reliability, and transportation efficiency.

Best Publications

  • A procedure for robust design: Minimizing variations caused by noise factors and control factors

    Wei Chen;J. K. Allen;Kwok Leung Tsui;F. Mistree

  • Signal-to-noise ratios, performance criteria, and transformations

    George Box;Anne C. Shoemaker;Kwok-Leung Tsui;Ramon V. León

  • An ensemble model for predicting the remaining useful performance of lithium-ion batteries

    Yinjiao Xing;Eden W. M. Ma;Kwok-Leung Tsui;Michael G. Pecht

  • Economical experimentation methods for robust design

    Anne C. Shoemaker;Kwok-Leung Tsui;C.F. Jeff Wu

  • An enhanced Kurtogram method for fault diagnosis of rolling element bearings

    Dong Wang;Peter W. Tse;Kwok Leung Tsui

  • Prognostics and Health Management: A Review of Vibration Based Bearing and Gear Health Indicators

    Dong Wang;Kwok-Leung Tsui;Qiang Miao

  • A review on design, modeling and applications of computer experiments

    Victoria C.P. Chen;Kwok Leung Tsui;Russell R. Barton;Martin Meckesheimer

  • AN OVERVIEW OF TAGUCHI METHOD AND NEWLY DEVELOPED STATISTICAL METHODS FOR ROBUST DESIGN

    Kwok-Leung Tsui

  • Degradation Data Analysis Using Wiener Processes With Measurement Errors

    Zhi-Sheng Ye;Yu Wang;Kwok-Leung Tsui;Michael Pecht

  • A naive Bayes model for robust remaining useful life prediction of lithium-ion battery

    Unknown

  • Forecasting tourist arrivals with machine learning and internet search index

    Shaolong Sun;Shaolong Sun;Yunjie Wei;Kwok-Leung Tsui;Shouyang Wang

  • A Two-Stage Data-Driven-Based Prognostic Approach for Bearing Degradation Problem

    Yu Wang;Yizhen Peng;Yanyang Zi;Xiaohang Jin

  • A systematic approach to planning for a designed industrial experiment

    David E. Coleman;Douglas C. Montgomery;Berton H. Gunter;Gerald J. Hahn

  • Combined CNN-LSTM Network for State-of-Charge Estimation of Lithium-Ion Batteries

    Xiangbao Song;Fangfang Yang;Dong Wang;Kwok-Leung Tsui

  • Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Spherical Cubature Particle Filter

    Dong Wang;Fangfang Yang;Kwok-Leung Tsui;Qiang Zhou

  • Sparsity guided empirical wavelet transform for fault diagnosis of rolling element bearings

    Dong Wang;Yang Zhao;Cai Yi;Cai Yi;Kwok-Leung Tsui

  • Early prediction of battery lifetime via a machine learning based framework

    Zicheng Fei;Fangfang Yang;Kwok-Leung Tsui;Lishuai Li

  • Identification and Quantification in Multivariate Quality Control Problems

    Anthony J. Hayter;Kwok Leung Tsui

  • A comparative study of three model-based algorithms for estimating state-of-charge of lithium-ion batteries under a new combined dynamic loading profile

    Fangfang Yang;Yinjiao Xing;Dong Wang;Kwok-Leung Tsui

  • A New SPC Monitoring Method: The ARMA Chart

    Wei Jiang;Kwok-Leung Tsui;William H. Woodall

  • A review and analysis of the Mahalanobis-Taguchi system

    William H. Woodall;Rachelle Koudelik;Kwok Leung Tsui;Seoung Bum Kim

  • A review of robust design methods for multiple responses

    Terrence E. Murphy;Kwok-Leung Tsui;Janet K. Allen

  • Forecasting tourist arrivals with machine learning and internet search index

    Shaolong Sun;Shouyang Wang;Yunjie Wei;Xianduan Yang

Frequent Co-Authors

Yang Zhao
Yang Zhao Beijing Institute of Technology
Dong Wang
Dong Wang Peking University
Kwai-Sang Chin
Kwai-Sang Chin City University of Hong Kong
David Goldsman
David Goldsman Georgia Institute of Technology
William H. Woodall
William H. Woodall Virginia Tech
Zhen-Song Chen
Zhen-Song Chen Wuhan University
Michael Pecht
Michael Pecht University of Maryland, College Park
Wei Chen
Wei Chen Northwestern University
Fugee Tsung
Fugee Tsung Hong Kong University of Science and Technology
Yanyang Zi
Yanyang Zi Xi'an Jiaotong University

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