World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
12094
World Ranking
4547
National Ranking
606

Hui Liu 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 Hui Liu 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: 333 publications — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Hui Liu 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 Hui Liu 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.

Best Publications

  • Hybridizing particle swarm optimization with differential evolution for constrained numerical and engineering optimization

    Hui Liu;Zixing Cai;Yong Wang

  • Comparison of two new ARIMA-ANN and ARIMA-Kalman hybrid methods for wind speed prediction

    Hui Liu;Hui Liu;Hong-qi Tian;Yan-fei Li;Yan-fei Li

  • Wind speed forecasting method based on deep learning strategy using empirical wavelet transform, long short term memory neural network and Elman neural network

    Hui Liu;Xi-wei Mi;Yan-fei Li

  • Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM

    Hui Liu;Xiwei Mi;Yanfei Li

  • Data processing strategies in wind energy forecasting models and applications: A comprehensive review

    Hui Liu;Chao Chen

  • Forecasting models for wind speed using wavelet, wavelet packet, time series and Artificial Neural Networks

    Hui Liu;Hui Liu;Hong Qi Tian;Di Fu Pan;Yan Fei Li;Yan Fei Li

  • A hybrid model for wind speed prediction using empirical mode decomposition and artificial neural networks

    Hui Liu;Hui Liu;Hui Liu;Chao Chen;Hong-qi Tian;Yan-fei Li;Yan-fei Li

  • A hybrid statistical method to predict wind speed and wind power

    Hui Liu;Hong-Qi Tian;Chao Chen;Yan-fei Li

  • Wind speed forecasting approach using secondary decomposition algorithm and Elman neural networks

    Hui Liu;Hui Liu;Hong-qi Tian;Xi-feng Liang;Yan-fei Li

  • Smart deep learning based wind speed prediction model using wavelet packet decomposition, convolutional neural network and convolutional long short term memory network

    Hui Liu;Xiwei Mi;Yanfei Li

  • Deterministic wind energy forecasting: A review of intelligent predictors and auxiliary methods

    Hui Liu;Chao Chen;Xinwei Lv;Xing Wu

  • Wind speed prediction model using singular spectrum analysis, empirical mode decomposition and convolutional support vector machine

    Xiwei Mi;Hui Liu;Yanfei Li

  • Comparison of four Adaboost algorithm based artificial neural networks in wind speed predictions

    Hui Liu;Hui Liu;Hong-qi Tian;Yan-fei Li;Lei Zhang

  • Smart wind speed deep learning based multi-step forecasting model using singular spectrum analysis, convolutional Gated Recurrent Unit network and Support Vector Regression

    Hui Liu;Xiwei Mi;Yanfei Li;Zhu Duan

  • New wind speed forecasting approaches using fast ensemble empirical model decomposition, genetic algorithm, Mind Evolutionary Algorithm and Artificial Neural Networks

    Hui Liu;Hui Liu;Hongqi Tian;Xifeng Liang;Yanfei Li

  • An experimental investigation of three new hybrid wind speed forecasting models using multi-decomposing strategy and ELM algorithm

    Hui Liu;Xiwei Mi;Yanfei Li

  • A review on multi-objective optimization framework in wind energy forecasting techniques and applications

    Hui Liu;Ye Li;Zhu Duan;Chao Chen

  • A new hybrid ensemble deep reinforcement learning model for wind speed short term forecasting

    Hui Liu;Chengqing Yu;Haiping Wu;Zhu Duan

  • An EMD-recursive ARIMA method to predict wind speed for railway strong wind warning system

    Hui Liu;Hui Liu;Hong qi Tian;Yan fei Li

  • Multi-step wind speed forecasting using EWT decomposition, LSTM principal computing, RELM subordinate computing and IEWT reconstruction

    Yanfei Li;Haiping Wu;Hui Liu

Frequent Co-Authors

Suyun Huang
Suyun Huang Virginia Commonwealth University
Ying Huang
Ying Huang Northwestern Polytechnical University
Keping Xie
Keping Xie The University of Texas MD Anderson Cancer Center

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Best Scientists Citing Hui Liu