World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
54
Citations
12095
World Ranking
3154
National Ranking
645

Environmental Sciences

D-Index
58
Citations
13218
World Ranking
3240
National Ranking
339

Huadong Guo publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Huadong Guo sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 134 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 117 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 59 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 481 publications — 94th percentile

94% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Huadong Guo D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Huadong Guo sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 128 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 349 scientists 41 D-Index: 362 scientists 42 D-Index: 425 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 94 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 24 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 54 D-Index — 68th percentile

68% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Huadong Guo is affiliated with the Chinese Academy of Sciences in China, focusing on Environmental Science and Earth and Planetary Sciences. Their research covers several subfields, including Global and Planetary Change, Atmospheric Science, Aerospace Engineering, Astronomy and Astrophysics, and Environmental Engineering.

Their notable research topics include:

  • Land Use and Ecosystem Services
  • Cryospheric studies and observations
  • Planetary Science and Exploration
  • Impact of Light on Environment and Health
  • Climate change and permafrost
  • Synthetic Aperture Radar (SAR) Applications and Techniques
  • Arctic and Antarctic ice dynamics

Key recent publications authored or co-authored by Guo include:

  • Annual 30 m dataset for glacial lakes in High Mountain Asia from 2008 to 2017, 2021, published in Earth system science data
  • Challenges and opportunities in remote sensing-based crop monitoring: a review, 2022, National Science Review
  • Big Data in Earth system science and progress towards a digital twin, 2023, Nature Reviews Earth & Environment
  • SDGSAT-1: the world's first scientific satellite for sustainable development goals, 2022, Science Bulletin
  • Measuring and evaluating SDG indicators with Big Earth Data, 2022, Science Bulletin

Frequently collaborating co-authors of Guo are Dong Liang, Guang Liu, Zhongchang Sun, Xinwu Li, and Hanlin Ye.

The principal venues where Guo has published multiple works include:

  • Remote Sensing
  • International Journal of Digital Earth
  • Science Bulletin
  • The Innovation
  • Remote Sensing of Environment

Huadong Guo has also contributed to the field through several book publications with Springer International Publishing, including:

  • Big Earth Data in Support of the Sustainable Development Goals (2022)-The Belt and Road, 2024
  • Big Earth Data in Support of the Sustainable Development Goals (2022) - China, 2024
  • Big Earth Data in Support of the Sustainable Development Goals (2023) - The Belt and Road, 2025

Best Publications

  • Tensile ductility and necking of metallic glass

    H. Guo;P. F. Yan;Y. B. Wang;J. Tan

  • A Global Human Settlement Layer From Optical HR/VHR RS Data: Concept and First Results

    Martino Pesaresi;Guo Huadong;Xavier Blaes;Daniele Ehrlich

  • Next-generation Digital Earth

    Michael F. Goodchild;Huadong Guo;Alessandro Annoni;Ling Bian

  • Digital Earth 2020: towards the vision for the next decade

    Max Craglia;Kees de Bie;Davina Jackson;Martino Pesaresi

  • Flood Mapping and Flood Dynamics of the Mekong Delta: ENVISAT-ASAR-WSM Based Time Series Analyses

    Claudia Kuenzer;Huadong Guo;Juliane Huth;Patrick Leinenkugel

  • Airborne and spaceborne remote sensing for archaeological and cultural heritage applications: A review of the century (1907–2017)

    Lei Luo;Xinyuan Wang;Huadong Guo;Rosa Lasaponara

  • The 2010 spring drought reduced primary productivity in southwestern China

    Li Zhang;Li Zhang;Jingfeng Xiao;Jing Li;Kun Wang

  • Challenges and opportunities in remote sensing-based crop monitoring: a review

    Unknown

  • Destriping CMODIS data by power filtering

    Jinsong Chen;Yun Shao;Huadong Guo;Weiming Wang

  • Big Earth data: A new frontier in Earth and information sciences

    Huadong Guo

  • Scientific big data and Digital Earth

    Huadong Guo;Lizhe Wang;Fang Chen;Dong Liang

  • Earth observation satellite sensors for biodiversity monitoring: potentials and bottlenecks

    Claudia Kuenzer;Marco Ottinger;Martin Wegmann;Huadong Guo

  • Annual 30-meter Dataset for Glacial Lakes in High Mountain Asia from 2008 to 2017

    Fang Chen;Meimei Zhang;Huadong Guo;Simon Allen;Simon Allen

  • Big Earth Data: a new challenge and opportunity for Digital Earth’s development

    Huadong Guo;Zhen Liu;Hao Jiang;Changlin Wang

  • Surface deformation related to the 2008 Wenchuan earthquake, and mountain building of the Longmen Shan, eastern Tibetan Plateau

    Bihong Fu;Pilong Shi;Huadong Guo;Satoshi Okuyama

  • Earth observation big data for climate change research

    Hua-Dong Guo;Li Zhang;Lan-Wei Zhu

  • SVM-Based Sea Ice Classification Using Textural Features and Concentration From RADARSAT-2 Dual-Pol ScanSAR Data

    Huiying Liu;Huadong Guo;Lu Zhang

  • Identifying damage caused by the 2008 Wenchuan earthquake from VHR remote sensing data

    Daniele Ehrlich;Huadong Guo;Katrin Molch;J. W. Ma

  • Evaluation of Three MODIS-Derived Vegetation Index Time Series for Dryland Vegetation Dynamics Monitoring

    Linlin Lu;Claudia Kuenzer;Cuizhen Wang;Huadong Guo

  • Big Earth Data Science: an Information Framework for a Sustainable Planet

    Huadong Guo;Stefano Nativi;Dong Liang;Max Craglia

  • Vegetation greenness trend (2000 to 2009) and the climate controls in the Qinghai-Tibetan Plateau

    Li Zhang;Li Zhang;Huadong Guo;Lei Ji;Liping Lei

  • Introduction: The Pan-Eurasian Experiment (PEEX) – multidisciplinary, multiscale and multicomponent research and capacity-building initiative

    M. Kulmala;H. K. Lappalainen;H. K. Lappalainen;T. Petaja;T. Kurten

Frequent Co-Authors

Jiancheng Shi
Jiancheng Shi Chinese Academy of Sciences
Markku Kulmala
Markku Kulmala University of Helsinki
Tuukka Petäjä
Tuukka Petäjä University of Helsinki
Gerrit de Leeuw
Gerrit de Leeuw Royal Netherlands Meteorological Institute
Aijun Ding
Aijun Ding Nanjing University
Alexander Baklanov
Alexander Baklanov University of Copenhagen
Juha Lemmetyinen
Juha Lemmetyinen Finnish Meteorological Institute
Jaana Bäck
Jaana Bäck University of Helsinki
Sergej Zilitinkevich
Sergej Zilitinkevich Finnish Meteorological Institute
Claudia Kuenzer
Claudia Kuenzer German Aerospace Center

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