World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

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

Lizhe Wang 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 Lizhe Wang 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: 422 publications — 89th percentile

89% of scientists in this discipline score the same or lower.

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

Lizhe Wang 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 Lizhe Wang 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: 76 D-Index — 91st percentile

91% 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

  • 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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