World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
32
Citations
13907
World Ranking
9590
National Ranking
3436

Qiaozhen Mu 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 Qiaozhen Mu 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: 282 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: 26 scientists 501–510 publications: 17 scientists 511–520 publications: 19 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 681–689 publications: 4 scientists 690+ publications: 100 scientists
41 publications 690+

This scientist: 79 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 690 publications or more.

Qiaozhen Mu 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 Qiaozhen Mu 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: 198 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: 20 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: 9 scientists 126+ D-Index: 92 scientists
30 D-Index 126+

This scientist: 32 D-Index — 1st percentile

1% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 126 D-Index or more.

Overview

Qiaozhen Mu is affiliated with Science Systems & Applications, Inc. in the United States. Their research primarily spans the fields of Environmental Science and Engineering, with a notable focus on calibration and measurement techniques in remote sensing applications.

Mu's main areas of study include:

  • Global and Planetary Change
  • Aerospace Engineering
  • Atmospheric Science
  • Ecology
  • Pulmonary and Respiratory Medicine

Their research covers several key topics, including:

  • Calibration and Measurement Techniques
  • Atmospheric Ozone and Climate
  • Remote Sensing in Agriculture
  • Atmospheric and Environmental Gas Dynamics
  • Infrared Target Detection Methodologies
  • Atmospheric aerosols and clouds
  • Plant Water Relations and Carbon Dynamics

Several frequent coauthors have collaborated with Mu, such as:

  • Xiaoxiong Xiong
  • Amit Angal
  • Aisheng Wu
  • Sainbuyan Bayarsaikhan
  • Sherry Li

Mu has published multiple papers across various respected venues, with a concentration in remote sensing research. Notable venues where Mu has contributed include:

  • Remote Sensing
  • Journal of Applied Remote Sensing
  • Geographical Issues
  • Remote Sensing of Environment
  • Measurement

Selected recent publications featuring Mu as an author or coauthor are:

  • "Impacts of the scale effect on quantifying the response of spring vegetation phenology to urban intensity," 2024, Remote Sensing of Environment
  • "Surface roughness prediction based on fusion of dynamic-static data," 2024, Measurement
  • "Positional Dependence of SNPP VIIRS Solar Diffuser BRDF Change Factor: An Empirical Approach," 2021, IEEE Transactions on Geoscience and Remote Sensing
  • "An Assessment of SNPP and NOAA20 VIIRS RSB Calibration Performance in NASA SIPS Reprocessed Collection-2 L1B Data Products," 2022, Remote Sensing
  • "Assessment of SNPP VIIRS RSB detector-to-detector differences using deep convective clouds and deserts," 2020, Journal of Applied Remote Sensing

Best Publications

  • Improvements to a MODIS global terrestrial evapotranspiration algorithm

    Qiaozhen Mu;Maosheng Zhao;Steven W. Running

  • Recent decline in the global land evapotranspiration trend due to limited moisture supply

    Martin Jung;Markus Reichstein;Philippe Ciais;Sonia I. Seneviratne

  • Development of a global evapotranspiration algorithm based on MODIS and global meteorology data

    Qiaozhen Mu;Faith Ann Heinsch;Maosheng Zhao;Steven W. Running

  • Regional evaporation estimates from flux tower and MODIS satellite data

    Helen A. Cleugh;Ray Leuning;Qiaozhen Mu;Steven W. Running

  • Local cooling and warming effects of forests based on satellite observations

    Yan Li;Maosheng Zhao;Safa Motesharrei;Qiaozhen Mu;Qiaozhen Mu

  • A Remotely Sensed Global Terrestrial Drought Severity Index

    Qiaozhen Mu;Maosheng Zhao;John S. Kimball;Nathan G. McDowell

  • The WACMOS-ET project – Part 2: Evaluation of global terrestrial evaporation data sets

    Diego Miralles;Diego Miralles;C Jiménez;M Jung;D Michel

  • Comparison of satellite-based evapotranspiration models over terrestrial ecosystems in China

    Yang Chen;Jiangzhou Xia;Shunlin Liang;Shunlin Liang;Jinming Feng;Jinming Feng

  • Satellite based analysis of northern ET trends and associated changes in the regional water balance from 1983 to 2005

    Ke Zhang;John S. Kimball;Qiaozhen Mu;Lucas A. Jones

  • Direct impacts on local climate of sugar-cane expansion in Brazil

    Scott R. Loarie;David B. Lobell;Gregory P. Asner;Qiaozhen Mu

  • Bayesian multimodel estimation of global terrestrial latent heat flux from eddy covariance, meteorological, and satellite observations

    Yunjun Yao;Shunlin Liang;Shunlin Liang;Xianglan Li;Yang Hong;Yang Hong

  • Upscaling key ecosystem functions across the conterminous United States by a water‐centric ecosystem model

    Ge Sun;Peter Caldwell;Asko Noormets;Steven G. McNulty

  • Validation of MODIS 16 global terrestrial evapotranspiration products in various climates and land cover types in Asia

    Hyun Woo Kim;Kyotaek Hwang;Qiaozhen Mu;Seung Oh Lee

  • The WACMOS-ET project – Part 1: Tower-scale evaluation of four remote-sensing-based evapotranspiration algorithms

    D. Michel;C. Jiménez;Diego G. Miralles;Diego G. Miralles;M. Jung

  • Potential and Actual impacts of deforestation and afforestation on land surface temperature

    Yan Li;Yan Li;Maosheng Zhao;David J. Mildrexler;Safa Motesharrei

  • Assessment of the MODIS global evapotranspiration algorithm using eddy covariance measurements and hydrological modelling in the Rio Grande basin

    A. L. Ruhoff;A. R. Paz;L. E.O.C. Aragao;Qiaozhen Mu

  • Evaluating water stress controls on primary production in biogeochemical and remote sensing based models

    Qiaozhen Mu;Maosheng Zhao;Faith Ann Heinsch;Mingliang Liu

  • Assessing the remotely sensed Drought Severity Index for agricultural drought monitoring and impact analysis in North China

    Unknown

  • Improving global terrestrial evapotranspiration estimation using support vector machine by integrating three process-based algorithms.

    Yunjun Yao;Shunlin Liang;Xianglan Li;Jiquan Chen

  • A satellite-based hybrid algorithm to determine the Priestley–Taylor parameter for global terrestrial latent heat flux estimation across multiple biomes

    Yunjun Yao;Shunlin Liang;Shunlin Liang;Xianglan Li;Jiquan Chen

  • Satellite assessment of land surface evapotranspiration for the pan-Arctic domain

    Qiaozhen Mu;Lucas A. Jones;John S. Kimball;Kyle C. McDonald

Frequent Co-Authors

Steven W. Running
Steven W. Running University of Montana
Xiaoxiong Xiong
Xiaoxiong Xiong Goddard Space Flight Center
Maosheng Zhao
Maosheng Zhao Science Systems and Applications (United States)
John S. Kimball
John S. Kimball University of Montana
Shunlin Liang
Shunlin Liang University of Hong Kong
Joshua B. Fisher
Joshua B. Fisher Chapman University
Kaicun Wang
Kaicun Wang Beijing Normal University
Jiquan Chen
Jiquan Chen Michigan State University
Diego G. Miralles
Diego G. Miralles Ghent University
Nate G. McDowell
Nate G. McDowell Pacific Northwest National Laboratory

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