World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
8274
World Ranking
5172
National Ranking
23

Ying Sun 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 Ying Sun 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: 226 publications — 55th percentile

55% of scientists in this discipline score the same or lower.

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

Ying Sun 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 Ying Sun 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Ying Sun is affiliated with King Abdullah University of Science and Technology in Saudi Arabia. Their research spans multiple areas within engineering and computer science, focusing notably on artificial intelligence, environmental engineering, control and systems engineering, and related fields.

The scientist's work emphasizes a variety of specialized topics, including:

  • Anomaly Detection Techniques and Applications
  • Fault Detection and Control Systems
  • Soil Geostatistics and Mapping
  • Spatial and Panel Data Analysis
  • Advanced Statistical Methods and Models
  • Time Series Analysis and Forecasting
  • Energy Load and Power Forecasting

Ying Sun has contributed to well-known peer-reviewed venues, with frequent publications in:

  • arXiv (Cornell University)
  • IEEE Access
  • Spatial Statistics
  • Environmetrics
  • Energies

Among recent research outputs, selected papers include:

  • "Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study," published in 2020 in Chaos Solitons & Fractals
  • "Early Detection of Parkinson's Disease Using Deep Learning and Machine Learning," published in 2020 in IEEE Access
  • "Effects of Cadmium Exposure on the Immune System and Immunoregulation," published in 2021 in Frontiers in Immunology
  • "Comparative study of machine learning methods for COVID-19 transmission forecasting," published in 2021 in Journal of Biomedical Informatics
  • "Reliable solar irradiance prediction using ensemble learning-based models: A comparative study," published in 2020 in Energy Conversion and Management

Ying Sun's collaborations include work with multiple researchers including:

  • Fouzi Harrou
  • Marc G. Genton
  • Abdelkader Dairi
  • Sameh Abdulah
  • Muddu Madakyaru

The scientist has also contributed book chapters, including a publication with IntechOpen titled "Advanced Statistical Modeling, Forecasting, and Fault Detection in Renewable Energy Systems" released in 2020.

Their extensive research production primarily covers the fields of engineering and computer science, with a focus on developing techniques and models relevant to forecasting, control systems, and environmental data analysis.

Best Publications

  • Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study

    Abdelhafid Zeroual;Fouzi Harrou;Abdelkader Dairi;Ying Sun

  • Early Detection of Parkinson’s Disease Using Deep Learning and Machine Learning

    Wu Wang;Junho Lee;Fouzi Harrou;Ying Sun

  • Statistical fault detection in photovoltaic systems

    Elyes Garoudja;Fouzi Harrou;Ying Sun;Kamel Kara

  • Reliable fault detection and diagnosis of photovoltaic systems based on statistical monitoring approaches

    Fouzi Harrou;Ying Sun;Bilal Taghezouit;Ahmed Saidi

  • Titanium-Phosphonate-Based Metal-Organic Frameworks with Hierarchical Porosity for Enhanced Photocatalytic Hydrogen Evolution

    Hui Li;Ying Sun;Zhong‐Yong Yuan;Yun‐Pei Zhu

  • Geostatistics for Large Datasets

    Ying Sun;Bo Li;Marc G. Genton

  • A Valid Matérn Class of Cross-Covariance Functions for Multivariate Random Fields With Any Number of Components

    Tatiyana V. Apanasovich;Marc G. Genton;Ying Sun

  • Comparative study of machine learning methods for COVID-19 transmission forecasting.

    Abdelkader Dairi;Fouzi Harrou;Abdelhafid Zeroual;Mohamad Mazen Hittawe

  • Gaussian processes for short-term traffic volume forecasting

    Yuanchang Xie;Kaiguang Zhao;Ying Sun;Dawei Chen

  • An unsupervised monitoring procedure for detecting anomalies in photovoltaic systems using a one-class Support Vector Machine

    Fouzi Harrou;Abdelkader Dairi;Bilal Taghezouit;Bilal Taghezouit;Ying Sun

  • Reliable solar irradiance prediction using ensemble learning-based models: A comparative study

    Junho Lee;Wu Wang;Fouzi Harrou;Ying Sun

  • Vision-based fall detection system for improving safety of elderly people

    Fouzi Harrou;Nabil Zerrouki;Ying Sun;Amrane Houacine

  • Improved $k$ NN-Based Monitoring Schemes for Detecting Faults in PV Systems

    Fouzi Harrou;Bilal Taghezouit;Ying Sun

  • Short-term forecasting of photovoltaic solar power production using variational auto-encoder driven deep learning approach

    Abdelkader Dairi;Fouzi Harrou;Ying Sun;Sofiane Khadraoui

  • Forecasting of Wastewater Treatment Plant Key Features Using Deep Learning-Based Models: A Case Study

    Tuoyuan Cheng;Fouzi Harrou;Farid Kadri;Ying Sun

  • Adjusted functional boxplots for spatio-temporal data visualization and outlier detection †

    Ying Sun;Marc G. Genton

  • Improved principal component analysis for anomaly detection

    Fouzi Harrou;Farid Kadri;Sondes Chaabane;Christian Tahon

  • Seasonal ARMA-based SPC charts for anomaly detection

    Farid Kadri;Fouzi Harrou;Sondès Chaabane;Ying Sun

  • Obstacle Detection for Intelligent Transportation Systems Using Deep Stacked Autoencoder and $k$ -Nearest Neighbor Scheme

    Abdelkader Dairi;Fouzi Harrou;Ying Sun;Mohamed Senouci

  • An Integrated Vision-Based Approach for Efficient Human Fall Detection in a Home Environment

    Fouzi Harrou;Nabil Zerrouki;Ying Sun;Amrane Houacine

  • Simplicial band depth for multivariate functional data

    Sara López-Pintado;Ying Sun;Juan K. Lin;Marc G. Genton

Frequent Co-Authors

Fouzi Harrou
Fouzi Harrou King Abdullah University of Science and Technology
Marc G. Genton
Marc G. Genton King Abdullah University of Science and Technology
David E. Keyes
David E. Keyes King Abdullah University of Science and Technology
Tianyi Ma
Tianyi Ma Swinburne University of Technology
TorOve Leiknes
TorOve Leiknes King Abdullah University of Science and Technology
Mark Tester
Mark Tester King Abdullah University of Science and Technology
Baohua Jia
Baohua Jia RMIT University
Hernando Ombao
Hernando Ombao King Abdullah University of Science and Technology
Michael L. Stein
Michael L. Stein Rutgers, The State University of New Jersey
Zhao-Qing Liu
Zhao-Qing Liu Guangzhou University

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