World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
76
Citations
21245
World Ranking
1352
National Ranking
180

Research.com Recognitions

  • 2021 - IEEE Fellow For contributions to high performance computing in processing, analysis and applications of remote sensing imagery

Overview

Lizhe Wang is affiliated with the China University of Geosciences in China. Their research spans multiple fields, including Environmental Science, Engineering, and Computer Science, with significant contributions reflected across these disciplines.

The research topics that dominate Lizhe Wang's work include:

  • Remote-Sensing Image Classification
  • Remote Sensing and Land Use
  • Remote Sensing and LiDAR Applications
  • Remote Sensing in Agriculture
  • Land Use and Ecosystem Services
  • Advanced Image and Video Retrieval Techniques
  • Advanced Image Fusion Techniques

The scientist has published extensively in notable venues such as:

  • IEEE Transactions on Geoscience and Remote Sensing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Remote Sensing
  • International Journal of Digital Earth
  • International Journal of Applied Earth Observation and Geoinformation

Among the recent papers associated with their work are:

  • "Identifying the impacts of natural and human factors on ecosystem service in the Yangtze and Yellow River Basins" (2021), published in Journal of Cleaner Production
  • "Temporal Convolutional Networks for the Advance Prediction of ENSO" (2020), published in Scientific Reports
  • "A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities" (2023), published in ISPRS Journal of Photogrammetry and Remote Sensing
  • "Potential assessment of photovoltaic power generation in China" (2021), published in Renewable and Sustainable Energy Reviews
  • "Cross-View Locality Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection" (2021), published in IEEE Transactions on Knowledge and Data Engineering

Frequent collaborators include:

  • Jining Yan
  • Ruyi Feng
  • Wei Han
  • Jun Li
  • Lunche Wang

Throughout their career, Lizhe Wang has also contributed notably to subfields such as Media Technology, Global and Planetary Change, Computer Vision and Pattern Recognition, Atmospheric Science, and Environmental Engineering.

In 2021, Lizhe Wang was recognized as an IEEE Fellow for contributions to high performance computing in processing, analysis, and applications of remote sensing imagery.

Best Publications

  • Cloud Computing: a Perspective Study

    Lizhe Wang;Gregor von Laszewski;Andrew J. Younge;Xi He

  • Scientific Cloud Computing: Early Definition and Experience

    Lizhe Wang;Jie Tao;M. Kunze;A.C. Castellanos

  • Remote sensing big data computing

    Yan Ma;Haiping Wu;Lizhe Wang;Bormin Huang

  • Power-aware scheduling of virtual machines in DVFS-enabled clusters

    Gregor von Laszewski;Lizhe Wang;Andrew J. Younge;Xi He

  • G-Hadoop: MapReduce across distributed data centers for data-intensive computing

    Lizhe Wang;Jie Tao;Rajiv Ranjan;Holger Marten

  • Efficient resource management for Cloud computing environments

    Andrew J. Younge;Gregor von Laszewski;Lizhe Wang;Sonia Lopez-Alarcon

  • SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery

    Junjun Jiang;Jiayi Ma;Chen Chen;Zhongyuan Wang

  • Towards Energy Aware Scheduling for Precedence Constrained Parallel Tasks in a Cluster with DVFS

    Lizhe Wang;Gregor von Laszewski;Jay Dayal;Fugang Wang

  • Temporal Convolutional Networks for the Advance Prediction of ENSO.

    Jining Yan;Lin Mu;Lin Mu;Lizhe Wang;Rajiv Ranjan

  • An overview of energy efficiency techniques in cluster computing systems

    Giorgio Luigi Valentini;Walter Lassonde;Samee Ullah Khan;Nasro Min-Allah

  • Big Data Privacy in the Internet of Things Era

    Charith Perera;Rajiv Ranjan;Lizhe Wang;Samee U. Khan

  • Learning a Joint Affinity Graph for Multiview Subspace Clustering

    Chang Tang;Xinzhong Zhu;Xinwang Liu;Miaomiao Li

  • SVM or deep learning? A comparative study on remote sensing image classification

    Peng Liu;Kim-Kwang Raymond Choo;Lizhe Wang;Fang Huang

  • MuR-DPA: Top-Down Levelled Multi-Replica Merkle Hash Tree Based Secure Public Auditing for Dynamic Big Data Storage on Cloud

    Chang Liu;Rajiv Ranjan;Chi Yang;Xuyun Zhang

  • Review of performance metrics for green data centers: a taxonomy study

    Lizhe Wang;Samee U. Khan

  • Energy-aware parallel task scheduling in a cluster

    Lizhe Wang;Lizhe Wang;Samee U. Khan;Dan Chen;Joanna KołOdziej

  • Natural Disaster Monitoring with Wireless Sensor Networks: A Case Study of Data-intensive Applications upon Low-Cost Scalable Systems

    Dan Chen;Zhixin Liu;Lizhe Wang;Minggang Dou

  • Scientific big data and Digital Earth

    Huadong Guo;Lizhe Wang;Fang Chen;Dong Liang

  • A semi-supervised generative framework with deep learning features for high-resolution remote sensing image scene classification

    Wei Han;Ruyi Feng;Lizhe Wang;Yafan Cheng

  • pipsCloud: High performance cloud computing for remote sensing big data management and processing

    Lizhe Wang;Lizhe Wang;Yan Ma;Jining Yan;Victor Chang

  • Privacy of Big Data in the Internet of Things Era.

    Charith Perera;Rajiv Ranjan;Lizhe Wang;Samee Ullah Khan

Frequent Co-Authors

Rajiv Ranjan
Rajiv Ranjan Newcastle University
Albert Y. Zomaya
Albert Y. Zomaya University of Sydney
Dan Chen
Dan Chen Wuhan University
Samee U. Khan
Samee U. Khan Mississippi State University
Joanna Kolodziej
Joanna Kolodziej NASK National Research Institute
Gregor von Laszewski
Gregor von Laszewski University of Virginia
Kim-Kwang Raymond Choo
Kim-Kwang Raymond Choo The University of Texas at San Antonio
Sajjad Ahmad Madani
Sajjad Ahmad Madani COMSATS University Islamabad
Wentong Cai
Wentong Cai Nanyang Technological University
Chang Tang
Chang Tang China University of Geosciences

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