World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
8274
World Ranking
5171
National Ranking
24

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
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
Hernando Ombao
Hernando Ombao King Abdullah University of Science and Technology
Baohua Jia
Baohua Jia RMIT University
Mark Tester
Mark Tester King Abdullah University of Science and Technology
Klaus Pillen
Klaus Pillen Martin Luther University Halle-Wittenberg
Zhao-Qing Liu
Zhao-Qing Liu Guangzhou University
Wenping Sun
Wenping Sun Zhejiang University

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