World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
48
Citations
10912
World Ranking
5449
National Ranking
1994

Kaiguang Zhao 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 Kaiguang Zhao 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.

Kaiguang Zhao 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 Kaiguang Zhao 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: 48 D-Index — 44th percentile

44% of scientists in this discipline score the same or lower.

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

Overview

Kaiguang Zhao is affiliated with The Ohio State University in the United States and engages primarily in environmental science research. Their work encompasses a variety of fields related to environmental dynamics, with a focus on applying remote sensing and modeling techniques to ecological and climatic challenges.

The scientist's main fields of study include:

  • Environmental Science

The subfields of study Kaiguang Zhao contributes to are:

  • Global and Planetary Change
  • Ecology
  • Environmental Engineering
  • Atmospheric Science
  • Environmental Chemistry

Their work covers several specialized research topics listed as:

  • Remote Sensing in Agriculture
  • Remote Sensing and LiDAR Applications
  • Land Use and Ecosystem Services
  • Soil and Water Nutrient Dynamics
  • Urban Heat Island Mitigation
  • Hydrology and Watershed Management Studies
  • Climate variability and models

Kaiguang Zhao has frequently published in the following venues:

  • Remote Sensing
  • Remote Sensing of Environment
  • The Science of The Total Environment
  • Agricultural and Forest Meteorology
  • Environmental Modelling & Software

Recent papers by Kaiguang Zhao demonstrate a breadth of research interests and include:

  • "Increasing global urban exposure to flooding: An analysis of long-term annual dynamics," 2022, The Science of The Total Environment
  • "Quantifying the response of surface urban heat island to urbanization using the annual temperature cycle model," 2021, Geoscience Frontiers
  • "Crop yield prediction via explainable AI and interpretable machine learning: Dangers of black box models for evaluating climate change impacts on crop yield," 2023, Agricultural and Forest Meteorology
  • "Climate change impacts on crop yields: A review of empirical findings, statistical crop models, and machine learning methods," 2024, Environmental Modelling & Software
  • "Mapping fine-scale human disturbances in a working landscape with Landsat time series on Google Earth Engine," 2021, ISPRS Journal of Photogrammetry and Remote Sensing

Kaiguang Zhao collaborates regularly with a number of peers, including:

  • Yuyu Zhou
  • Tongxi Hu
  • Xuesong Zhang
  • Yang Li
  • Sami Khanal

Best Publications

  • Increased stray gas abundance in a subset of drinking water wells near Marcellus shale gas extraction

    Robert B. Jackson;Avner Vengosh;Thomas H. Darrah;Nathaniel R. Warner

  • Ground Filtering Algorithms for Airborne LiDAR Data: A Review of Critical Issues

    Xuelian Meng;Nathan Currit;Kaiguang Zhao

  • Geochemical evidence for possible natural migration of Marcellus Formation brine to shallow aquifers in Pennsylvania

    Nathaniel R. Warner;Robert B. Jackson;Thomas H. Darrah;Stephen G. Osborn

  • Lidar remote sensing of forest biomass : A scale-invariant estimation approach using airborne lasers

    Kaiguang Zhao;Sorin Popescu;Ross Nelson

  • Detecting change-point, trend, and seasonality in satellite time series data to track abrupt changes and nonlinear dynamics: A Bayesian ensemble algorithm

    Kaiguang Zhao;Kaiguang Zhao;Michael A. Wulder;Tongxi Hu;Ryan Bright

  • A voxel-based lidar method for estimating crown base height for deciduous and pine trees

    Sorin C. Popescu;Kaiguang Zhao

  • Local temperature response to land cover and management change driven by non-radiative processes

    Ryan M. Bright;Edouard Léopold Davin;Thomas O'Halloran;Julia Pongratz

  • A cluster-based method to map urban area from DMSP/OLS nightlights

    Yuyu Zhou;Steven J. Smith;Christopher Elvidge;Kaiguang Zhao

  • Mapping urban pipeline leaks: Methane leaks across Boston

    Nathan G. Phillips;Robert C. Ackley;Eric R. Crosson;Adrian Down

  • A global map of urban extent from nightlights

    Yuyu Zhou;Steven J. Smith;Kaiguang Zhao;Marc L. Imhoff

  • Lidar-based mapping of leaf area index and its use for validating GLOBCARBON satellite LAI product in a temperate forest of the southern USA

    Kaiguang Zhao;Sorin Popescu

  • Natural Gas Pipeline Leaks Across Washington, DC

    Robert B. Jackson;Adrian Down;Nathan G. Phillips;Robert C. Ackley

  • Utility of multitemporal lidar for forest and carbon monitoring: Tree growth, biomass dynamics, and carbon flux

    Kaiguang Zhao;Juan C. Suarez;Mariano Garcia;Tongxi Hu

  • Satellite lidar vs. small footprint airborne lidar: Comparing the accuracy of aboveground biomass estimates and forest structure metrics at footprint level

    Sorin C. Popescu;Kaiguang Zhao;Amy L Neuenschwander;Chinsu Lin

  • Analysis of driver injury severity in rural single-vehicle crashes

    Yuanchang Xie;Kaiguang Zhao;Nathan Huynh

  • Evaluation of global optimization algorithms for parameter calibration of a computationally intensive hydrologic model

    Xuesong Zhang;Raghavan Srinivasan;Kaiguang Zhao;Mike Van Liew

  • Quantifying surface albedo and other direct biogeophysical climate forcings of forestry activities.

    Ryan M. Bright;Ryan M. Bright;Kaiguang Zhao;Robert B. Jackson;Francesco Cherubini

  • Characterizing forest canopy structure with lidar composite metrics and machine learning

    Kaiguang Zhao;Sorin Popescu;Xuelian Meng;Yong Pang

  • Biophysical forcings of land-use changes from potential forestry activities in North America

    Kaiguang Zhao;Robert B. Jackson

  • Integrating LiDAR data and multi-temporal aerial imagery to map wetland inundation dynamics using Google Earth Engine.

    Qiusheng Wu;Charles R. Lane;Xuecao Li;Kaiguang Zhao

  • Hyperspectral remote sensing of plant biochemistry using Bayesian model averaging with variable and band selection

    Kaiguang Zhao;Denis Valle;Sorin Popescu;Xuesong Zhang

Frequent Co-Authors

Xuesong Zhang
Xuesong Zhang Agricultural Research Service
Sorin C. Popescu
Sorin C. Popescu Texas A&M University
Robert B. Jackson
Robert B. Jackson Stanford University
Yuyu Zhou
Yuyu Zhou Iowa State University
Jiancheng Shi
Jiancheng Shi Chinese Academy of Sciences
David Riaño
David Riaño Spanish National Research Council
Allison M. Thomson
Allison M. Thomson University of Maryland, College Park
Ghassem R. Asrar
Ghassem R. Asrar Universities Space Research Association
Qinghua Guo
Qinghua Guo Chinese Academy of Sciences
Roberto C. Izaurralde
Roberto C. Izaurralde University of Maryland, College Park

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Related Online Degrees & Career Pathways

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Understanding social dynamics is equally important when addressing environmental issues. Online programs such as online bachelors degree programs in sociology provide insights into human behavior and community engagement, both critical for implementing environmental initiatives.

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