World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
56
Citations
22391
World Ranking
3555
National Ranking
1352

Zhiliang Zhu 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 Zhiliang Zhu 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: 180 publications — 56th percentile

56% of scientists in this discipline score the same or lower.

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

Zhiliang Zhu 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 Zhiliang Zhu 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: 56 D-Index — 63rd percentile

63% of scientists in this discipline score the same or lower.

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

Overview

Zhiliang Zhu is affiliated with the United States Geological Survey in the United States. Their research primarily focuses on environmental science with a detailed concentration on global and planetary change, ecology, environmental engineering, nature and landscape conservation, and atmospheric science.

The major topics within their body of work include:

  • Fire effects on ecosystems
  • Land use and ecosystem services
  • Remote sensing in agriculture
  • Coastal wetland ecosystem dynamics
  • Remote sensing and LiDAR applications
  • Plant water relations and carbon dynamics
  • Atmospheric and environmental gas dynamics

Zhu has contributed to various publication venues, with frequent appearances including:

  • SSRN Electronic Journal
  • Zenodo (CERN European Organization for Nuclear Research)
  • International Journal of Remote Sensing
  • Geophysical Monograph
  • Remote Sensing of Environment

Some of the recent papers authored or co-authored by Zhu are:

  • Mapping global urban boundaries from the global artificial impervious area (GAIA) data, 2020, Environmental Research Letters
  • Soil moisture content retrieval from Landsat 8 data using ensemble learning, 2022, ISPRS Journal of Photogrammetry and Remote Sensing
  • Detection and characterization of coastal tidal wetland change in the northeastern US using Landsat time series, 2022, Remote Sensing of Environment
  • Active forest management accelerates carbon storage in plantation forests in Lishui, southern China, 2022, Forest Ecosystems
  • Surface soil temperature seasonal variation estimation in a forested area using combined satellite observations and in-situ measurements, 2020, International Journal of Applied Earth Observation and Geoinformation

Zhu frequently collaborates with several researchers, including:

  • Peng Gong
  • Todd J. Hawbaker
  • Jinxun Liu
  • Hong S. He
  • Paul D. Henne

Best Publications

  • Status and distribution of mangrove forests of the world using earth observation satellite data

    Chandra Giri;E. Ochieng;Larry L. Tieszen;Zhi-Liang Zhu

  • DEVELOPMENT OF A GLOBAL LAND COVER CHARACTERISTICS DATABASE AND IGBP DISCOVER FROM 1 KM AVHRR DATA

    Thomas R. Loveland;B.C. Reed;Jesslyn F. Brown;D.O. Ohlen

  • Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data

    Peng Gong;Jie Wang;Le Yu;Yongchao Zhao

  • Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017

    Peng Gong;Han Liu;Meinan Zhang;Congcong Li

  • An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks

    Chengquan Huang;Samuel N. Goward;Jeffrey G. Masek;Nancy Thomas

  • Monitoring mangrove forest dynamics of the Sundarbans in Bangladesh and India using multi-temporal satellite data from 1973 to 2000

    Chandra Giri;Bruce Pengra;Zhiliang Zhu;Ashbindu Singh

  • Mapping global urban boundaries from the global artificial impervious area (GAIA) data

    Xuecao Li;Peng Gong;Yuyu Zhou;Jie Wang;Jie Wang

  • A comparative analysis of the Global Land Cover 2000 and MODIS land cover data sets

    Chandra Giri;Zhiliang Zhu;Bradley Reed

  • Mapping essential urban land use categories in China (EULUC-China): preliminary results for 2018

    Peng Gong;Bin Chen;Xuecao Li;Han Liu

  • Mangrove forest distributions and dynamics (1975–2005) of the tsunami-affected region of Asia†

    C. Giri;Z. Zhu;L. L. Tieszen;A. Singh

  • Mapping major land cover dynamics in Beijing using all Landsat images in Google Earth Engine

    Huabing Huang;Yanlei Chen;Nicholas Clinton;Jie Wang

  • An analysis of the IGBP global land-cover characterization process

    Thomas R. Loveland;Zhiliang Zhu;Donald O. Ohlen;Jesslyn F. Brown

  • U.S. forest types and predicted percent forest cover from AVHRR data

    Zhiliang Zhu;D. L. Evans

  • Land cover mapping of North and Central America—Global Land Cover 2000

    Rasim Latifovic;Zhi-Liang Zhu;Josef Cihlar;Chandra Giri

  • Automated masking of cloud and cloud shadow for forest change analysis using Landsat images

    Chengquan Huang;Nancy Thomas;Samuel N. Goward;Jeffrey G. Masek

  • Dynamics of national forests assessed using the Landsat record: Case studies in eastern United States

    Chengquan Huang;Samuel N. Goward;Karen Schleeweis;Nancy Thomas

  • Detection rates of the MODIS active fire product in the United States

    Todd J. Hawbaker;Volker C. Radeloff;Alexandra D. Syphard;Zhiliang Zhu

  • Scenarios of land use and land cover change in the conterminous United States: Utilizing the special report on emission scenarios at ecoregional scales

    Benjamin M. Sleeter;Terry L. Sohl;Michelle A. Bouchard;Ryan R. Reker

  • Monitoring forest changes in the southwestern United States using multitemporal Landsat data

    James E. Vogelmann;Brian L. Tolk;Zhiliang Zhu

  • The first all-season sample set for mapping global land cover with Landsat-8 data

    Congcong Li;Congcong Li;Peng Gong;Jie Wang;Zhiliang Zhu

  • Meta-discoveries from a synthesis of satellite-based land-cover mapping research

    Le Yu;Lu Liang;Jie Wang;Yuanyuan Zhao

Frequent Co-Authors

Peng Gong
Peng Gong University of Hong Kong
Todd J. Hawbaker
Todd J. Hawbaker United States Geological Survey
Hong S. He
Hong S. He University of Missouri
Chengquan Huang
Chengquan Huang University of Maryland, College Park
Nicholas Clinton
Nicholas Clinton Google (United States)
Le Yu
Le Yu Tsinghua University
James E. Vogelmann
James E. Vogelmann United States Geological Survey
Shuguang Liu
Shuguang Liu Central South University of Forestry and Technology
Xuecao Li
Xuecao Li China Agricultural University
Stephen V. Stehman
Stephen V. Stehman SUNY College of Environmental Science and Forestry

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

For students interested in expanding their expertise beyond Environmental Sciences, pursuing advanced online degrees can open new career opportunities. Many professionals consider programs like an education doctoral programs without dissertation to balance rigorous study with practical experience. These programs are ideal for those wanting to deepen their knowledge without the traditional dissertation process.

Educators looking to advance their credentials might explore eds to edd bridge programs online. These pathways provide a seamless transition from a master's to a doctoral degree completely online, supporting career growth in educational leadership within environmental and related fields.

For those passionate about social impact, online dsw programs in social work offer affordable, flexible education. These programs enable graduates to address environmental justice and community wellness through advanced social work practice.

Lastly, students seeking diverse knowledge bases can consider an accredited affordable online general studies degree. This broad program equips learners with interdisciplinary skills applicable to various environmental science careers, emphasizing cost-effectiveness and accessibility.

Best Scientists Citing Zhiliang Zhu

Trending Scientists