World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
46
Citations
9152
World Ranking
5113
National Ranking
990

Xiaolin Zhu 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 Xiaolin Zhu sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 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: 118 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: 60 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: 123 publications — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Xiaolin Zhu 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 Xiaolin Zhu sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 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: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 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: 95 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: 25 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: 46 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Overview

Xiaolin Zhu is affiliated with Hong Kong Polytechnic University in China, focusing on environmental science and engineering disciplines. Their work primarily spans across environmental science, with 156 publications, and engineering, contributing 65 publications to the field.

The subfields covered in their research include ecology, environmental engineering, global and planetary change, media technology, and atmospheric science. These areas reflect a broad engagement with environmental processes, technological methodologies, and atmospheric interactions.

The scientific topics addressed in their studies feature:

  • Remote Sensing in Agriculture
  • Remote Sensing and Land Use
  • Urban Heat Island Mitigation
  • Remote-Sensing Image Classification
  • Land Use and Ecosystem Services
  • Advanced Image Fusion Techniques
  • Remote Sensing and LiDAR Applications

Among the recent papers authored or co-authored by Xiaolin Zhu are:

  • Maps of cropping patterns in China during 2015-2021, 2022, Scientific Data
  • A robust index to extract paddy fields in cloudy regions from SAR time series, 2022, Remote Sensing of Environment
  • Sensitivity of six typical spatiotemporal fusion methods to different influential factors: A comparative study for a normalized difference vegetation index time series reconstruction, 2020, Remote Sensing of Environment
  • Future Simulation of Land Use Changes in Rapidly Urbanizing South China Based on Land Change Modeler and Remote Sensing Data, 2020, Sustainability
  • FSDAF 2.0: Improving the performance of retrieving land cover changes and preserving spatial details, 2020, Remote Sensing of Environment

Frequent co-authors associated with Xiaolin Zhu's research include Jin Chen, Xuehong Chen, Xiaoyue Tan, Miaogen Shen, and Ruyin Cao. The collaboration network indicates a consistent partnership with multiple researchers contributing to environmental and remote sensing topics.

Xiaolin Zhu's publications appear prominently in several scientific journals such as:

  • Remote Sensing of Environment (26 publications)
  • Remote Sensing (7 publications)
  • Agricultural and Forest Meteorology (5 publications)
  • IEEE Transactions on Geoscience and Remote Sensing (5 publications)
  • International Journal of Applied Earth Observation and Geoinformation (5 publications)

Best Publications

  • Plant phenology and global climate change: Current progresses and challenges

    Shilong Piao;Shilong Piao;Qiang Liu;Anping Chen;Ivan A. Janssens

  • An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions

    Xiaolin Zhu;Jin Chen;Feng Gao;Xuehong Chen

  • A flexible spatiotemporal method for fusing satellite images with different resolutions

    Xiaolin Zhu;Eileen H. Helmer;Feng Gao;Desheng Liu

  • A simple and effective method for filling gaps in Landsat ETM+ SLC-off images

    Jin Chen;Xiaolin Zhu;Xiaolin Zhu;James E. Vogelmann;Feng Gao

  • Spatiotemporal Fusion of Multisource Remote Sensing Data: Literature Survey, Taxonomy, Principles, Applications, and Future Directions

    Xiaolin Zhu;Fangyi Cai;Jiaqi Tian;Trecia Kay Ann Williams

  • Influences of temperature and precipitation before the growing season on spring phenology in grasslands of the central and eastern Qinghai-Tibetan Plateau

    Miaogen Shen;Yanhong Tang;Jin Chen;Xiaolin Zhu

  • Improving forest aboveground biomass estimation using seasonal Landsat NDVI time-series

    Xiaolin Zhu;Desheng Liu

  • Disaggregation of remotely sensed land surface temperature: Literature survey, taxonomy, issues, and caveats

    Wenfeng Zhan;Wenfeng Zhan;Wenfeng Zhan;Yunhao Chen;Ji Zhou;Jinfei Wang;Jinfei Wang

  • Fusing Landsat and MODIS Data for Vegetation Monitoring

    Feng Gao;Thomas Hilker;Xiaolin Zhu;Martha Anderson

  • A new geostatistical approach for filling gaps in Landsat ETM+ SLC-off images

    Xiaolin Zhu;Xiaolin Zhu;Desheng Liu;Jin Chen

  • A Modified Neighborhood Similar Pixel Interpolator Approach for Removing Thick Clouds in Landsat Images

    Xiaolin Zhu;Feng Gao;Desheng Liu;Jin Chen

  • Maps of cropping patterns in China during 2015–2021

    Unknown

  • An Improved Flexible Spatiotemporal DAta Fusion (IFSDAF) method for producing high spatiotemporal resolution normalized difference vegetation index time series

    Meng Liu;Meng Liu;Wei Yang;Xiaolin Zhu;Jin Chen

  • Accurate mapping of forest types using dense seasonal Landsat time-series

    Xiaolin Zhu;Desheng Liu

  • An Improved Method for Producing High Spatial-Resolution NDVI Time Series Datasets with Multi-Temporal MODIS NDVI Data and Landsat TM/ETM+ Images

    Yuhan Rao;Xiaolin Zhu;Jin Chen;Jianmin Wang

  • An automatic method for screening clouds and cloud shadows in optical satellite image time series in cloudy regions

    Xiaolin Zhu;Eileen H. Helmer

  • A robust index to extract paddy fields in cloudy regions from SAR time series

    Unknown

  • Blending MODIS and Landsat images for urban flood mapping

    Fang Zhang;Xiaolin Zhu;Desheng Liu

  • Automatic detection of individual oil palm trees from UAV images using HOG features and an SVM classifier

    Yiran Wang;Xiaolin Zhu;Bo Wu

  • NDVI and vegetation phenology dynamics under the influence of sunshine duration on the Tibetan plateau

    Hongshuo Wang;Hongshuo Wang;Desheng Liu;Desheng Liu;Hui Lin;Alvaro Montenegro;Alvaro Montenegro

  • An Improved Image Fusion Approach Based on Enhanced Spatial and Temporal the Adaptive Reflectance Fusion Model

    Dongjie Fu;Baozhang Chen;Juan Wang;Xiaolin Zhu

  • Manejo y evaluaci�n de los datos obtenidos en los muestreos aerobiol�gicos

    Unknown

Frequent Co-Authors

Jin Chen
Jin Chen Beijing Normal University
Miaogen Shen
Miaogen Shen Chinese Academy of Sciences
Wenzhong Shi
Wenzhong Shi Hong Kong Polytechnic University
Slavé Petrovski
Slavé Petrovski AstraZeneca (United Kingdom)
Eileen H. Helmer
Eileen H. Helmer US Forest Service
David Goldstein
David Goldstein University of New South Wales
Wei Yang
Wei Yang Chinese Academy of Sciences
Yanhong Tang
Yanhong Tang Peking University
Erin L. Heinzen
Erin L. Heinzen University of North Carolina at Chapel Hill
James Hone
James Hone Columbia University

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