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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
100
Citations
29765
World Ranking
377
National Ranking
44

Kwok-wing Chau 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-wing Chau 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: 308 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Kwok-wing Chau 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-wing Chau 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: 100 D-Index — 97th percentile

97% 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

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award

Overview

Kwok-wing Chau is affiliated with the Hong Kong Polytechnic University in China. Their research contributions primarily span the fields of Environmental Science and Engineering, focusing on areas such as Environmental Engineering, Water Science and Technology, Electrical and Electronic Engineering, and Artificial Intelligence.

The scientist's publication record includes substantial work related to hydrology and water resources, emphasizing applications of artificial intelligence in hydrological forecasting and watershed management. Their research topics include:

  • Hydrological Forecasting Using AI
  • Hydrology and Watershed Management Studies
  • Energy Load and Power Forecasting
  • Flood Risk Assessment and Management
  • Hydrology and Sediment Transport Processes
  • Metaheuristic Optimization Algorithms Research
  • Evolutionary Algorithms and Applications

Frequent publication venues for Kwok-wing Chau include:

  • Engineering Applications of Computational Fluid Mechanics
  • Water Resources Management
  • arXiv (Cornell University)
  • Water
  • Zenodo (CERN European Organization for Nuclear Research)

Key recent papers authored or co-authored by Kwok-wing Chau are:

  • "Predicting Standardized Streamflow index for hydrological drought using machine learning models," 2020, Engineering Applications of Computational Fluid Mechanics
  • "Comparative Analysis of Recurrent Neural Network Architectures for Reservoir Inflow Forecasting," 2020, Water
  • "Machine learning based marine water quality prediction for coastal hydro-environment management," 2021, Journal of Environmental Management
  • "Multilayer Ensemble Pruning via Novel Multi-sub-swarm Particle Swarm Optimization," 2020, Zenodo (CERN European Organization for Nuclear Research)
  • "Application of photovoltaic system to modify energy use, environmental damages and cumulative exergy demand of two irrigation systems-A case study: Barley production of Iran," 2020, Renewable Energy

Collaboration is a significant aspect of their work. Frequent co-authors include:

  • Amir Mosavi
  • Shahab S. Band
  • Wenchuan Wang
  • Narjes Nabipour
  • Dongmei Xu

Best Publications

  • Flood prediction using machine learning models: Literature review

    Amir Mosavi;Pinar Ozturk;Kwok Wing Chau

  • A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series

    Wen-Chuan Wang;Kwok-Wing Chau;Chun-Tian Cheng;Lin Qiu

  • An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction

    Zaher Mundher Yaseen;Sadeq Oleiwi Sulaiman;Ravinesh C. Deo;Kwok Wing Chau

  • Using support vector machines for long-term discharge prediction

    Jian-Yi Lin;Chun-Tian Cheng;Kwok-Wing Chau

  • Improving Forecasting Accuracy of Annual Runoff Time Series Using ARIMA Based on EEMD Decomposition

    Wen chuan Wang;Kwok Wing Chau;Dong mei Xu;Xiao Yun Chen

  • Sustainable Business Models: A Review

    Saeed Nosratabadi;Amir Mosavi;Shahaboddin Shamshirband;Edmundas Kazimieras Zavadskas

  • Predicting monthly streamflow using data-driven models coupled with data-preprocessing techniques

    C. L. Wu;Kwok-wing Chau;Y. S. Li

  • Artificial neural network simulation of hourly groundwater levels in a coastal aquifer system of the Venice lagoon

    Riccardo Taormina;Kwok-Wing Chau;Rajandrea Sethi

  • Comparison of Several Flood Forecasting Models in Yangtze River

    Kwok Wing Chau;Kwok Wing Chau;C. L. Wu;C. L. Wu;Yok Sheung Li;Yok Sheung Li

  • Prediction of rainfall time series using modular artificial neural networks coupled with data-preprocessing techniques

    C. L. Wu;C. L. Wu;Kwok Wing Chau;C. Fan

  • Combining a fuzzy optimal model with a genetic algorithm to solve multi-objective rainfall–runoff model calibration

    Chuntian Cheng;Chunping Ou;Kwok-wing Chau

  • Rainfall–runoff modeling using artificial neural network coupled with singular spectrum analysis

    C. L. Wu;C. L. Wu;Kwok Wing Chau

  • Neural network and genetic programming for modelling coastal algal blooms

    Nitin Muttil;Kwok Wing Chau

  • Particle Swarm Optimization Training Algorithm for ANNs in Stage Prediction of Shing Mun River

    Kwok Wing Chau

  • Prediction of rainfall time series using modular soft computingmethods

    C. L. Wu;K. W. Chau

  • Survey of computational intelligence as basis to big flood management: challenges, research directions and future work

    Farnaz Fotovatikhah;Manuel Herrera;Shahaboddin Shamshirband;Kwok-wing Chau

  • Methods to improve neural network performance in daily flows prediction

    C. L. Wu;Kwok Wing Chau;Yok Sheung Li

  • Optimizing Hydropower Reservoir Operation Using Hybrid Genetic Algorithm and Chaos

    Chun Tian Cheng;Wen Chuan Wang;Dong Mei Xu;Kwok Wing Chau

  • Data-driven input variable selection for rainfall-runoff modeling using binary-coded particle swarm optimization and Extreme Learning Machines

    Riccardo Taormina;Kwok Wing Chau

  • Coupling a firefly algorithm with support vector regression to predict evaporation in northern Iran

    Roozbeh Moazenzadeh;Babak Mohammadi;Shahaboddin Shamshirband;Kwok Wing Chau

  • Application of a PSO-based neural network in analysis of outcomes of construction claims

    Kwok Wing Chau

Frequent Co-Authors

Amir Mosavi
Amir Mosavi Óbuda University
Shahab S. Band
Shahab S. Band National Yunlin University of Science and Technology
Chuntian Cheng
Chuntian Cheng Dalian University of Technology
Mohammad Hossein Ahmadi
Mohammad Hossein Ahmadi Shahrood University of Technology
Faris Albermani
Faris Albermani Central Queensland University
Nadhir Al-Ansari
Nadhir Al-Ansari Luleå University of Technology
Zaher Mundher Yaseen
Zaher Mundher Yaseen King Fahd University of Petroleum and Minerals
Shahin Rafiee
Shahin Rafiee University of Tehran
Seyed Saeid Mohtasebi
Seyed Saeid Mohtasebi University of Tehran
Shamsuddin Shahid
Shamsuddin Shahid University of Technology Malaysia

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