World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
7809
World Ranking
8785
National Ranking
3756

Jie Shan 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 Jie Shan 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: 189 publications — 42nd percentile

42% of scientists in this discipline score the same or lower.

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

Jie Shan 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 Jie Shan 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Jie Shan is affiliated with Purdue University West Lafayette in the United States. Their research primarily spans the field of Engineering, with a particular focus on several subfields and specialized topics.

The main subfields of study Jie Shan has contributed to include:

  • Atomic and Molecular Physics, and Optics
  • Environmental Engineering
  • Geology
  • Materials Chemistry
  • Computer Vision and Pattern Recognition

Their work covers various main topics, notably:

  • Remote Sensing and LiDAR Applications
  • 3D Surveying and Cultural Heritage
  • Quantum and electron transport phenomena
  • Robotics and Sensor-Based Localization
  • 2D Materials and Applications
  • Topological Materials and Phenomena
  • Forest ecology and management

Jie Shan has published extensively in several academic venues. The most frequent publication outlets include:

  • arXiv (Cornell University)
  • Remote Sensing
  • IEEE Transactions on Geoscience and Remote Sensing
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Recent papers by Jie Shan detail their engagement with remote sensing technologies, 3D modeling, and detection techniques. Some representative publications are:

  • "RANSAC-based multi primitive building reconstruction from 3D point clouds", 2022, ISPRS Journal of Photogrammetry and Remote Sensing
  • "Comprehensive Evaluation of the ICESat-2 ATL08 Terrain Product", 2021, IEEE Transactions on Geoscience and Remote Sensing
  • "Geospatial Analysis of Urban Expansion Using Remote Sensing Methods and Data: A Case Study of Yangtze River Delta, China", 2020, Complexity
  • "Optimal Model Fitting for Building Reconstruction From Point Clouds", 2021, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • "Detection and Tracking of Pedestrians Using Doppler LiDAR", 2021, Remote Sensing

Jie Shan collaborates frequently with a group of co-authors including:

  • Takashi Taniguchi
  • Kin Fai Mak
  • Kenji Watanabe
  • Kaifei Kang
  • Fayez Tarsha Kurdi

This profile presents Jie Shan as an active contributor to research in engineering disciplines related to remote sensing, photogrammetry, and environmental applications. Their interdisciplinary approach spans physical sciences and advanced sensing techniques, demonstrated through numerous publications and partnerships in high-impact scientific venues.

Best Publications

  • Topographic laser ranging and scanning : principles and processing

    Jie Shan;Charles K. Toth

  • Graph Attention Convolution for Point Cloud Semantic Segmentation

    Lei Wang;Yuchun Huang;Yaolin Hou;Shenman Zhang

  • Principal Component Analysis for Hyperspectral Image Classification

    Craig Rodarmel;Jie Shan

  • A comprehensive review of earthquake-induced building damage detection with remote sensing techniques

    Laigen Dong;Jie Shan;Jie Shan

  • Segmentation and Reconstruction of Polyhedral Building Roofs From Aerial Lidar Point Clouds

    A. Sampath;Jie Shan

  • Building boundary tracing and regularization from airborne lidar point clouds

    Aparajithan Sampath;Jie Shan

  • CLASS-GUIDED BUILDING EXTRACTION FROM IKONOS IMAGERY

    D. Scott Lee;Jie Shan;James S. Bethel

  • Urban DEM generation from raw lidar data: A labeling algorithm and its performance

    Jie Shan;Sampath Aparajithan

  • A local descriptor based registration method for multispectral remote sensing images with non-linear intensity differences

    Yuanxin Ye;Yuanxin Ye;Jie Shan;Jie Shan

  • Robust Registration of Multimodal Remote Sensing Images Based on Structural Similarity

    Yuanxin Ye;Jie Shan;Lorenzo Bruzzone;Li Shen

  • A hybrid approach for detecting corn and soybean phenology with time-series MODIS data

    Linglin Zeng;Brian D. Wardlow;Rui Wang;Jie Shan

  • Building population mapping with aerial imagery and GIS data

    Serkan Ural;Ejaz Hussain;Jie Shan

  • RANSAC-based multi primitive building reconstruction from 3D point clouds

    Unknown

  • Investigation on the Weighted RANSAC Approaches for Building Roof Plane Segmentation from LiDAR Point Clouds

    Bo Xu;Wanshou Jiang;Jie Shan;Jing Zhang

  • Building roof modeling from airborne laser scanning data based on level set approach

    KyoHyouk Kim;Jie Shan

  • Road Centerline Extraction in Complex Urban Scenes From LiDAR Data Based on Multiple Features

    Xiangyun Hu;Yijing Li;Jie Shan;Jianqing Zhang

  • A global optimization approach to roof segmentation from airborne lidar point clouds

    Jixing Yan;Jie Shan;Jie Shan;Wanshou Jiang

  • Geomatics for Smart Cities - Concept, Key Techniques,and Applications

    Deren Li;Jie Shan;Zhenfeng Shao;Xiran Zhou

  • SEGMENTATION OF LIDAR POINT CLOUDS FOR BUILDING EXTRACTION

    Jun Wang;Jie Shan

  • Fuzzy inference guided cellular automata urban-growth modelling using multi-temporal satellite images

    S. Al-kheder;J. Wang;J. Shan

  • Combining Lidar Elevation Data and IKONOS Multispectral Imagery for Coastal Classification Mapping

    D. Scott Lee;Jie Shan

  • A local phase based invariant feature for remote sensing image matching

    Yuanxin Ye;Jie Shan;Siyuan Hao;Lorenzo Bruzzone

  • Performance evaluation for pan-sharpening techniques

    Qian Du;O. Gungor;Jie Shan

Frequent Co-Authors

Lorenzo Bruzzone
Lorenzo Bruzzone University of Trento
Randolph L. Kirk
Randolph L. Kirk United States Geological Survey
Frank Scholten
Frank Scholten German Aerospace Center
Jan-Peter Muller
Jan-Peter Muller University College London
Gerhard Neukum
Gerhard Neukum Freie Universität Berlin
Christian Heipke
Christian Heipke University of Hannover
Deren Li
Deren Li Wuhan University
Jianya Gong
Jianya Gong Wuhan University
Michael J. Hayes
Michael J. Hayes University of Nebraska–Lincoln
Brian D. Wardlow
Brian D. Wardlow University of Nebraska–Lincoln

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