World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
45
Citations
8258
World Ranking
6371
National Ranking
2296

Computer Science

D-Index
45
Citations
8197
World Ranking
7208
National Ranking
3148

Le Wang publication distribution in Environmental Sciences in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Environmental Sciences in 2026. The highlighted bar marks where Le Wang sits on this spectrum.

41–50 publications: 21 scientists 51–60 publications: 62 scientists 61–70 publications: 133 scientists 71–80 publications: 257 scientists 81–90 publications: 361 scientists 91–100 publications: 440 scientists 101–110 publications: 492 scientists 111–120 publications: 541 scientists 121–130 publications: 617 scientists 131–140 publications: 544 scientists 141–150 publications: 541 scientists 151–160 publications: 539 scientists 161–170 publications: 444 scientists 171–180 publications: 444 scientists 181–190 publications: 400 scientists 191–200 publications: 377 scientists 201–210 publications: 318 scientists 211–220 publications: 283 scientists 221–230 publications: 263 scientists 231–240 publications: 220 scientists 241–250 publications: 217 scientists 251–260 publications: 180 scientists 261–270 publications: 181 scientists 271–280 publications: 155 scientists 281–290 publications: 130 scientists 291–300 publications: 127 scientists 301–310 publications: 130 scientists 311–320 publications: 85 scientists 321–330 publications: 106 scientists 331–340 publications: 80 scientists 341–350 publications: 83 scientists 351–360 publications: 75 scientists 361–370 publications: 69 scientists 371–380 publications: 52 scientists 381–390 publications: 54 scientists 391–400 publications: 56 scientists 401–410 publications: 44 scientists 411–420 publications: 40 scientists 421–430 publications: 36 scientists 431–440 publications: 25 scientists 441–450 publications: 25 scientists 451–460 publications: 32 scientists 461–470 publications: 29 scientists 471–480 publications: 21 scientists 481–490 publications: 26 scientists 491–500 publications: 25 scientists 501–510 publications: 17 scientists 511–520 publications: 18 scientists 521–530 publications: 15 scientists 531–540 publications: 22 scientists 541–550 publications: 12 scientists 551–560 publications: 15 scientists 561–570 publications: 11 scientists 571–580 publications: 19 scientists 581–590 publications: 9 scientists 591–600 publications: 9 scientists 601–610 publications: 7 scientists 611–620 publications: 11 scientists 621–630 publications: 5 scientists 631–640 publications: 5 scientists 641–650 publications: 6 scientists 651–660 publications: 3 scientists 661–670 publications: 3 scientists 671–680 publications: 4 scientists 681–686 publications: 3 scientists 687+ publications: 100 scientists
41 publications 687+

This scientist: 111 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 687 publications or more.

Le Wang D-index placement in Environmental Sciences in 2026

The chart shows the D-index (discipline H-index) distribution of Environmental Sciences scientists ranked by Research.com in 2026. The highlighted bar marks where Le Wang sits on this spectrum.

30 D-Index: 12 scientists 31 D-Index: 26 scientists 32 D-Index: 51 scientists 33 D-Index: 88 scientists 34 D-Index: 123 scientists 35 D-Index: 163 scientists 36 D-Index: 206 scientists 37 D-Index: 267 scientists 38 D-Index: 265 scientists 39 D-Index: 275 scientists 40 D-Index: 321 scientists 41 D-Index: 343 scientists 42 D-Index: 305 scientists 43 D-Index: 336 scientists 44 D-Index: 330 scientists 45 D-Index: 348 scientists 46 D-Index: 291 scientists 47 D-Index: 275 scientists 48 D-Index: 272 scientists 49 D-Index: 273 scientists 50 D-Index: 263 scientists 51 D-Index: 232 scientists 52 D-Index: 266 scientists 53 D-Index: 217 scientists 54 D-Index: 199 scientists 55 D-Index: 177 scientists 56 D-Index: 202 scientists 57 D-Index: 204 scientists 58 D-Index: 166 scientists 59 D-Index: 177 scientists 60 D-Index: 166 scientists 61 D-Index: 152 scientists 62 D-Index: 143 scientists 63 D-Index: 150 scientists 64 D-Index: 124 scientists 65 D-Index: 119 scientists 66 D-Index: 120 scientists 67 D-Index: 118 scientists 68 D-Index: 82 scientists 69 D-Index: 98 scientists 70 D-Index: 94 scientists 71 D-Index: 105 scientists 72 D-Index: 74 scientists 73 D-Index: 84 scientists 74 D-Index: 70 scientists 75 D-Index: 67 scientists 76 D-Index: 78 scientists 77 D-Index: 60 scientists 78 D-Index: 59 scientists 79 D-Index: 52 scientists 80 D-Index: 47 scientists 81 D-Index: 38 scientists 82 D-Index: 48 scientists 83 D-Index: 42 scientists 84 D-Index: 42 scientists 85 D-Index: 43 scientists 86 D-Index: 29 scientists 87 D-Index: 37 scientists 88 D-Index: 29 scientists 89 D-Index: 30 scientists 90 D-Index: 34 scientists 91 D-Index: 20 scientists 92 D-Index: 22 scientists 93 D-Index: 17 scientists 94 D-Index: 19 scientists 95 D-Index: 24 scientists 96 D-Index: 21 scientists 97 D-Index: 20 scientists 98 D-Index: 24 scientists 99 D-Index: 17 scientists 100 D-Index: 17 scientists 101 D-Index: 21 scientists 102 D-Index: 25 scientists 103 D-Index: 18 scientists 104 D-Index: 26 scientists 105 D-Index: 19 scientists 106 D-Index: 15 scientists 107 D-Index: 10 scientists 108 D-Index: 13 scientists 109 D-Index: 15 scientists 110 D-Index: 12 scientists 111 D-Index: 8 scientists 112 D-Index: 7 scientists 113 D-Index: 9 scientists 114 D-Index: 6 scientists 115 D-Index: 12 scientists 116 D-Index: 7 scientists 117 D-Index: 8 scientists 118 D-Index: 3 scientists 119 D-Index: 5 scientists 120 D-Index: 7 scientists 121 D-Index: 2 scientists 122 D-Index: 4 scientists 123 D-Index: 8 scientists 124 D-Index: 7 scientists 125+ D-Index: 99 scientists
30 D-Index 125+

This scientist: 45 D-Index — 36th percentile

36% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 125 D-Index or more.

Overview

Le Wang is affiliated with the University at Buffalo, State University of New York in the United States. Their research primarily focuses on environmental science, with a significant emphasis on the study of coastal wetland ecosystem dynamics and remote sensing applications.

The scientist's main fields of study include:

  • Environmental Science

Within this broader area, their subfields of expertise encompass:

  • Ecology
  • Environmental Engineering
  • Global and Planetary Change
  • Earth-Surface Processes
  • Plant Science

Le Wang's work covers several key research topics such as:

  • Coastal wetland ecosystem dynamics
  • Remote Sensing in Agriculture
  • Land Use and Ecosystem Services
  • Remote Sensing and LiDAR Applications
  • Remote-Sensing Image Classification
  • Wind and Air Flow Studies
  • Aeolian processes and effects

Their frequently contributing publication venues include:

  • International Journal of Applied Earth Observation and Geoinformation
  • International Journal of Remote Sensing
  • Remote Sensing of Environment
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • SSRN Electronic Journal

Significant recent papers authored or co-authored by Le Wang are:

  • "A summary of the special issue on remote sensing of land change science with Google earth engine," 2020, Remote Sensing of Environment
  • "Numerical study on flow field and pollutant dispersion in an ideal street canyon within a real tree model at different wind velocities," 2020, Computers & Mathematics with Applications

Other notable papers connected to their research network include works such as:

  • "Deep learning for change detection in remote sensing: a review," 2022, Geo-spatial Information Science
  • "Development of spectral-phenological features for deep learning to understand Spartina alterniflora invasion," 2020, Remote Sensing of Environment
  • "Effects of physicochemical factors on the transport of aged polystyrene nanoparticles in saturated porous media," 2021, Chemosphere

Le Wang frequently collaborates with several researchers in their field. Prominent co-authors include:

  • Dameng Yin
  • Huili Gong
  • Chunyuan Diao
  • Ying Lu
  • Jinyan Tian

Best Publications

  • Comparison of IKONOS and QuickBird images for mapping mangrove species on the Caribbean coast of Panama

    Le Wang;Wayne P. Sousa;Peng Gong;Gregory S. Biging

  • Integration of object-based and pixel-based classification for mapping mangroves with IKONOS imagery

    L. Wang;W. P. Sousa;P. Gong

  • Individual Tree-Crown Delineation and Treetop Detection in High-Spatial-Resolution Aerial Imagery

    Le Wang;Peng Gong;Gregory S. Biging

  • A review of remote sensing for mangrove forests: 1956–2018

    Le Wang;Mingming Jia;Dameng Yin;Jinyan Tian

  • Population Estimation Methods in GIS and Remote Sensing: A Review

    Shuo-sheng Wu;Xiaomin Qiu;Le Wang

  • Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network

    Hongruixuan Chen;Chen Wu;Bo Du;Liangpei Zhang

  • A multi-directional ground filtering algorithm for airborne LIDAR

    Xuelian Meng;Le Wang;José Luis Silván-Cárdenas;Nate Currit

  • Incorporating spatial information in spectral unmixing: A review

    Chen Shi;Chen Shi;Le Wang;Le Wang

  • Comparison of UAV and WorldView-2 imagery for mapping leaf area index of mangrove forest

    Jinyan Tian;Le Wang;Xiaojuan Li;Huili Gong

  • The spatial distribution patterns of biological soil crusts in the Gurbantunggut Desert, Northern Xinjiang, China

    Y.M. Zhang;J. Chen;L. Wang;X.Q. Wang

  • Individual mangrove tree measurement using UAV-based LiDAR data: Possibilities and challenges

    Dameng Yin;Dameng Yin;Le Wang

  • Multicriteria decision approach for land use land cover change using Markov chain analysis and a cellular automata approach

    Soe W Myint;Le Wang

  • A new index for mapping lichen-dominated biological soil crusts in desert areas

    Jin Chen;Ming Yuan Zhang;Le Wang;Hiroto Shimazaki

  • Automated urban land-use classification with remote sensing

    Shougeng Hu;Le Wang

  • Evaluation of Morphological Texture Features for Mangrove Forest Mapping and Species Discrimination Using Multispectral IKONOS Imagery

    Xin Huang;Liangpei Zhang;Le Wang

  • Distinguishing mangrove species with laboratory measurements of hyperspectral leaf reflectance

    Le Wang;Wayne P. Sousa

  • Identifying Mangrove Species and Their Surrounding Land Use and Land Cover Classes Using an Object-Oriented Approach with a Lacunarity Spatial Measure

    Soe W. Myint;Chandra P. Giri;Le Wang;Zhiliang Zhu

  • Spatio-temporal urban landscape change analysis using the Markov chain model and a modified genetic algorithm

    J. Tang;L. Wang;Z. Yao

  • A summary of the special issue on remote sensing of land change science with Google earth engine

    Le Wang;Chunyuan Diao;George Xian;Dameng Yin

  • MORPHOLOGY-BASED BUILDING DETECTION FROM AIRBORNE LIDAR DATA

    Xuelian Meng;Le Wang;Nate Currit

  • Sub-pixel confusion-uncertainty matrix for assessing soft classifications

    J.L. Silván-Cárdenas;L. Wang

  • A multi-resolution approach for filtering LiDAR altimetry data

    J.L. Silván-Cárdenas;L. Wang

Frequent Co-Authors

Jin Chen
Jin Chen Beijing Normal University
Peng Gong
Peng Gong University of Hong Kong
Jianya Gong
Jianya Gong Wuhan University
Soe W. Myint
Soe W. Myint Arizona State University
Liangpei Zhang
Liangpei Zhang Wuhan University
Peter A. Rogerson
Peter A. Rogerson University at Buffalo, State University of New York
Qiuming Cheng
Qiuming Cheng China University of Geosciences
Massimo Menenti
Massimo Menenti Delft University of Technology
Zhenfeng Shao
Zhenfeng Shao Wuhan University
Zhiliang Zhu
Zhiliang Zhu United States Geological Survey

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Pursuing a career in Environmental Sciences often intersects with fields like sociology, education, and social work. For those interested in understanding the societal impacts on the environment, programs such as the best online sociology bachelor degree offer foundational knowledge that complements environmental studies. These programs explore human behavior and social dynamics, crucial for tackling environmental challenges in diverse communities.

For professionals aiming to advance into education roles within environmental fields, considering pathways like online ed d programs without dissertation can provide flexible, research-focused alternatives. These programs emphasize practical leadership skills without the extended commitment of a dissertation, making them ideal for working professionals.

Similarly, those targeting doctoral-level credentials might explore eds to edd programs online, designed to bridge the gap between master’s and doctoral studies in education. This pathway supports career development in academic or policy positions related to environmental education and advocacy.

Additionally, the intersection of environmental work and community support can lead to exploring dsw programs online. Doctorate degrees in social work equip professionals to address social determinants of environmental issues and promote sustainable, equitable solutions on the ground.

Best Scientists Citing Le Wang

Trending Scientists

Recently Published Articles