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Joong-Sun Won

Joong-Sun Won

Joong-Sun Won publication distribution in Earth Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Earth Science in 2026. The highlighted bar marks where Joong-Sun Won sits on this spectrum.

38–42 publications: 1 scientists 43–47 publications: 0 scientists 48–52 publications: 3 scientists 53–57 publications: 8 scientists 58–62 publications: 11 scientists 63–67 publications: 16 scientists 68–72 publications: 24 scientists 73–77 publications: 31 scientists 78–82 publications: 49 scientists 83–87 publications: 77 scientists 88–92 publications: 86 scientists 93–97 publications: 88 scientists 98–102 publications: 92 scientists 103–107 publications: 84 scientists 108–112 publications: 102 scientists 113–117 publications: 108 scientists 118–122 publications: 117 scientists 123–127 publications: 126 scientists 128–132 publications: 146 scientists 133–137 publications: 114 scientists 138–142 publications: 102 scientists 143–147 publications: 127 scientists 148–152 publications: 102 scientists 153–157 publications: 112 scientists 158–162 publications: 102 scientists 163–167 publications: 127 scientists 168–172 publications: 121 scientists 173–177 publications: 112 scientists 178–182 publications: 109 scientists 183–187 publications: 98 scientists 188–192 publications: 92 scientists 193–197 publications: 105 scientists 198–202 publications: 77 scientists 203–207 publications: 80 scientists 208–212 publications: 89 scientists 213–217 publications: 70 scientists 218–222 publications: 74 scientists 223–227 publications: 74 scientists 228–232 publications: 70 scientists 233–237 publications: 67 scientists 238–242 publications: 59 scientists 243–247 publications: 67 scientists 248–252 publications: 51 scientists 253–257 publications: 46 scientists 258–262 publications: 41 scientists 263–267 publications: 39 scientists 268–272 publications: 34 scientists 273–277 publications: 39 scientists 278–282 publications: 35 scientists 283–287 publications: 36 scientists 288–292 publications: 35 scientists 293–297 publications: 29 scientists 298–302 publications: 23 scientists 303–307 publications: 39 scientists 308–312 publications: 34 scientists 313–317 publications: 23 scientists 318–322 publications: 18 scientists 323–327 publications: 18 scientists 328–332 publications: 21 scientists 333–337 publications: 20 scientists 338–342 publications: 15 scientists 343–347 publications: 13 scientists 348–352 publications: 24 scientists 353–357 publications: 25 scientists 358–362 publications: 10 scientists 363–367 publications: 20 scientists 368–372 publications: 17 scientists 373–377 publications: 18 scientists 378–382 publications: 15 scientists 383–387 publications: 7 scientists 388–392 publications: 22 scientists 393–397 publications: 9 scientists 398–402 publications: 11 scientists 403–407 publications: 16 scientists 408–412 publications: 4 scientists 413–417 publications: 5 scientists 418–422 publications: 14 scientists 423–427 publications: 8 scientists 428–432 publications: 7 scientists 433–437 publications: 7 scientists 438–442 publications: 10 scientists 443–447 publications: 10 scientists 448–452 publications: 3 scientists 453–457 publications: 9 scientists 458–462 publications: 11 scientists 463–467 publications: 4 scientists 468–472 publications: 6 scientists 473–477 publications: 11 scientists 478–482 publications: 8 scientists 483–487 publications: 2 scientists 488–492 publications: 3 scientists 493–497 publications: 4 scientists 498–502 publications: 4 scientists 503–507 publications: 4 scientists 508–509 publications: 4 scientists 510+ publications: 100 scientists
38 publications 510+

The last bar groups every scientist with 510 publications or more.

Joong-Sun Won D-index placement in Earth Science in 2026

The chart shows the D-index (discipline H-index) distribution of Earth Science scientists ranked by Research.com in 2026. The highlighted bar marks where Joong-Sun Won sits on this spectrum.

30 D-Index: 15 scientists 31 D-Index: 42 scientists 32 D-Index: 60 scientists 33 D-Index: 90 scientists 34 D-Index: 103 scientists 35 D-Index: 108 scientists 36 D-Index: 142 scientists 37 D-Index: 147 scientists 38 D-Index: 147 scientists 39 D-Index: 152 scientists 40 D-Index: 143 scientists 41 D-Index: 157 scientists 42 D-Index: 141 scientists 43 D-Index: 151 scientists 44 D-Index: 140 scientists 45 D-Index: 135 scientists 46 D-Index: 121 scientists 47 D-Index: 108 scientists 48 D-Index: 128 scientists 49 D-Index: 111 scientists 50 D-Index: 106 scientists 51 D-Index: 112 scientists 52 D-Index: 102 scientists 53 D-Index: 103 scientists 54 D-Index: 94 scientists 55 D-Index: 61 scientists 56 D-Index: 101 scientists 57 D-Index: 71 scientists 58 D-Index: 65 scientists 59 D-Index: 78 scientists 60 D-Index: 93 scientists 61 D-Index: 56 scientists 62 D-Index: 58 scientists 63 D-Index: 52 scientists 64 D-Index: 63 scientists 65 D-Index: 49 scientists 66 D-Index: 53 scientists 67 D-Index: 57 scientists 68 D-Index: 50 scientists 69 D-Index: 44 scientists 70 D-Index: 44 scientists 71 D-Index: 31 scientists 72 D-Index: 33 scientists 73 D-Index: 33 scientists 74 D-Index: 23 scientists 75 D-Index: 32 scientists 76 D-Index: 24 scientists 77 D-Index: 17 scientists 78 D-Index: 19 scientists 79 D-Index: 9 scientists 80 D-Index: 21 scientists 81 D-Index: 20 scientists 82 D-Index: 17 scientists 83 D-Index: 19 scientists 84 D-Index: 19 scientists 85 D-Index: 14 scientists 86 D-Index: 6 scientists 87 D-Index: 14 scientists 88 D-Index: 17 scientists 89 D-Index: 10 scientists 90 D-Index: 8 scientists 91 D-Index: 8 scientists 92 D-Index: 9 scientists 93 D-Index: 6 scientists 94+ D-Index: 98 scientists
30 D-Index 94+

The last bar groups every scientist with 94 D-Index or more.

Overview

Joong-Sun Won is affiliated with Yonsei University in South Korea and specializes in engineering with a focus on aerospace and environmental engineering. Their research contributions primarily center around synthetic aperture radar (SAR) applications and techniques, with significant work also spanning advanced SAR imaging techniques and remote sensing in environmental contexts.

The scientist's main fields of study include:

  • Engineering

Within these fields, their subfields of study encompass:

  • Aerospace Engineering
  • Environmental Engineering
  • Atmospheric Science
  • Oceanography
  • Management, Monitoring, Policy and Law

Key research topics pursued by Joong-Sun Won include:

  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Advanced SAR Imaging Techniques
  • Underwater Acoustics Research
  • Soil Moisture and Remote Sensing
  • 3D Surveying and Cultural Heritage
  • Arctic and Antarctic ice dynamics
  • Climate change and permafrost

Notable recent papers by the scientist demonstrate a diverse application of remote sensing and SAR technology in environmental monitoring and geospatial analysis:

  • Classification of sea ice types in Sentinel-1 synthetic aperture radar images, 2020, published in The Cryosphere
  • InSAR time-series analysis and susceptibility mapping for land subsidence in Semarang, Indonesia using convolutional neural network and support vector regression, 2023, published in Remote Sensing of Environment
  • Acceleration Compensation for Estimation of Along-Track Velocity of Ground Moving Target from Single-Channel SAR SLC Data, 2020, published in Remote Sensing
  • Advanced time-series InSAR analysis to estimate surface deformation and utilization of hybrid deep learning for susceptibility mapping in the Jakarta metropolitan region, 2025, published in GIScience & Remote Sensing
  • An Atmospheric Correction Using High Resolution Numerical Weather Prediction Models for Satellite-Borne Single-Channel Mid-Wavelength and Thermal Infrared Imaging Sensors, 2020, published in Remote Sensing

Joong-Sun Won frequently collaborates with several researchers in their field, including:

  • Wahyu Luqmanul Hakim
  • Muhammad Fulki Fadhillah
  • Chang-Wook Lee
  • Wook Park
  • Hyung-Sup Jung

The scientist's work has been published predominantly in peer-reviewed journals specializing in geospatial science, remote sensing, and environmental monitoring. Frequent publication venues include:

  • Remote Sensing
  • The Cryosphere
  • Remote Sensing of Environment
  • GIScience & Remote Sensing
  • Journal of Coastal Research

Best Publications

  • Determination and application of the weights for landslide susceptibility mapping using an artificial neural network

    Saro Lee;Joo Hyung Ryu;Joong Sun Won;Hyuck Jin Park

  • Waterline extraction from Landsat TM data in a tidal flat: a case study in Gomso Bay, Korea

    Joo Hyung Ryu;Joong Sun Won;Kyung Duck Min

  • Landslide susceptibility analysis using GIS and artificial neural network

    Saro Lee;Joo Hyung Ryu;Kyungduck Min;Joong Sun Won

  • Mapping Three-Dimensional Surface Deformation by Combining Multiple-Aperture Interferometry and Conventional Interferometry: Application to the June 2007 Eruption of Kilauea Volcano, Hawaii

    H S Jung;Z Lu;J S Won;M P Poland

  • Detecting the intertidal morphologic change using satellite data

    Joo Hyung Ryu;Chang Hwan Kim;Yoon Kyung Lee;Joong Sun Won

  • An Improvement of the Performance of Multiple-Aperture SAR Interferometry (MAI)

    Hyung-Sup Jung;Joong-Sun Won;Sang-Wan Kim

  • Use of an artificial neural network for analysis of the susceptibility to landslides at Boun, Korea

    Saro Lee;Joo Hyung Ryu;Moung Jin Lee;Joong Sun Won

  • Assessment of ground subsidence hazard near an abandoned underground coal mine using GIS

    Ki Dong Kim;Saro Lee;Hyun Joo Oh;Jong Kuk Choi

  • Satellite observation of coal mining subsidence by persistent scatterer analysis

    Hahn Chul Jung;Sang Wan Kim;Hyung Sup Jung;Kyung Duck Min

  • The Application of Artificial Neural Networks to Landslide Susceptibility Mapping at Janghung, Korea

    Saro Lee;Joo Hyung Ryu;Moung Jin Lee;Joong Sun Won

  • Multi-temporal monitoring of wetland water levels in the Florida Everglades using interferometric synthetic aperture radar (InSAR)

    Sang Hoon Hong;Sang Hoon Hong;Sang Hoon Hong;Shimon Wdowinski;Sang Wan Kim;Joong Sun Won

  • Validation of an artificial neural network model for landslide susceptibility mapping

    Jaewon Choi;Hyun Joo Oh;Joong Sun Won;Saro Lee

  • Ionospheric Correction of SAR Interferograms by Multiple-Aperture Interferometry

    Hyung-Sup Jung;Dong-Taek Lee;Zhong Lu;Joong-Sun Won

  • Application of a fuzzy operator to susceptibility estimations of coal mine subsidence in Taebaek City, Korea

    Jong Kuk Choi;Ki Dong Kim;Saro Lee;Joong Sun Won

  • Ensemble-based landslide susceptibility maps in Jinbu area, Korea

    Moung Jin Lee;Jae Won Choi;Hyun Joo Oh;Joong Sun Won

  • Measurements and predictions of subsidence induced by soil consolidation using persistent scatterer InSAR and a hyperbolic model

    Sang Wan Kim;Sang Wan Kim;Shimon Wdowinski;Timothy H. Dixon;Falk Amelung

  • Classification of sea ice types in Sentinel-1 synthetic aperture radar images

    Jeong Won Park;Anton Andreevich Korosov;Mohamed Babiker;Joong Sun Won

  • A critical grain size for Landsat ETM+ investigations into intertidal sediments: a case study of the Gomso tidal flats, Korea

    Joo Hyung Ryu;Young Ho Na;Joong Sun Won;Roland Doerffer

  • Interferometric Coherence Analysis of the Everglades Wetlands, South Florida

    Sang-Wan Kim;Shimon Wdowinski;Falk Amelung;Timothy H. Dixon

  • Spatial Landslide Hazard Prediction Using Rainfall Probability and a Logistic Regression Model

    Saro Lee;Joong Sun Won;Seong Woo Jeon;Inhye Park

Frequent Co-Authors

Saro Lee
Saro Lee Korea Institute of Geoscience and Mineral Resources
Zhong Lu
Zhong Lu Southern Methodist University
Shimon Wdowinski
Shimon Wdowinski Florida International University
Falk Amelung
Falk Amelung University of Miami
Timothy H. Dixon
Timothy H. Dixon University of South Florida
Daniel Dzurisin
Daniel Dzurisin United States Geological Survey
Asta Miklius
Asta Miklius United States Geological Survey
Michael P. Poland
Michael P. Poland United States Geological Survey
Paul Lundgren
Paul Lundgren California Institute of Technology
Jhoon Kim
Jhoon Kim Yonsei University

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