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Kaiguang Zhao

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Environmental Sciences 48 5451 5225 1994 1845 111 10912

Kaiguang Zhao publications per year

The chart shows the history of publications by Kaiguang Zhao between 1997 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Kaiguang Zhao published across 30 years, from 1997 to 2026, averaging 4.9 papers a year. Output peaked at 14 publications in 2022. 14 of the 147 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 1997 to 2026. Vertical axis: number of publications, 0 to 14. Peak 14 publications in 2022. 1997: 1 publication 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 1 publication 2003: 4 publications 2004: 2 publications 2005: 0 publications 2006: 0 publications 2007: 1 publication 2008: 5 publications 2009: 4 publications 2010: 4 publications 2011: 3 publications 2012: 10 publications 2013: 4 publications 2014: 8 publications 2015: 9 publications 2016: 3 publications 2017: 8 publications 2018: 7 publications 2019: 10 publications 2020: 7 publications 2021: 9 publications 2022: 14 publications 2023: 5 publications 2024: 14 publications 2025: 11 publications 2026: 3 publications
1997 2026

147 publications in total across all disciplines

View publications per year as a table
Kaiguang Zhao: publications per year, 1997 to 2026
Year Publications
1997 1
1998 0
1999 0
2000 0
2001 0
2002 1
2003 4
2004 2
2005 0
2006 0
2007 1
2008 5
2009 4
2010 4
2011 3
2012 10
2013 4
2014 8
2015 9
2016 3
2017 8
2018 7
2019 10
2020 7
2021 9
2022 14
2023 5
2024 14
2025 11
2026 3
Total 147
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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.

No. of scientists
200 400 600
Bar chart with 66 bars. Horizontal axis: publications, 41–50 to 690+. Vertical axis: number of scientists, 0 to 617. Most scientists, 617, have 121–130 publications. The last bar groups every scientist with 690 publications or more. The highlighted bar, 111–120 publications, is where this scientist sits. 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
41–50 publications 690+

This scientist: 111 publications — 19th percentile

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

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

View publications distribution as a table
Number of Environmental Sciences scientists by publication count, Research.com 2026 ranking edition. Based on 9,676 ranked scientists.
Publications Scientists This scientist
41–50 21
51–60 62
61–70 133
71–80 257
81–90 361
91–100 440
101–110 492
111–120 541 111
121–130 617
131–140 544
141–150 541
151–160 539
161–170 444
171–180 444
181–190 400
191–200 377
201–210 318
211–220 282
221–230 263
231–240 220
241–250 217
251–260 180
261–270 181
271–280 155
281–290 130
291–300 127
301–310 130
311–320 85
321–330 106
331–340 80
341–350 83
351–360 75
361–370 69
371–380 52
381–390 54
391–400 56
401–410 44
411–420 40
421–430 36
431–440 25
441–450 25
451–460 32
461–470 29
471–480 21
481–490 26
491–500 26
501–510 17
511–520 19
521–530 15
531–540 22
541–550 12
551–560 15
561–570 11
571–580 19
581–590 9
591–600 9
601–610 7
611–620 11
621–630 5
631–640 5
641–650 6
651–660 3
661–670 3
671–680 4
681–689 4
690+ 100
Download as CSV

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.

No. of scientists
100 200 300
Bar chart with 97 bars. Horizontal axis: D-Index, 30 to 126+. Vertical axis: number of scientists, 0 to 348. Most scientists, 348, have 45 D-Index. The last bar groups every scientist with 126 D-Index or more. The highlighted bar, 48 D-Index, is where this scientist sits. 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: 48 D-Index — 44th percentile

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

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

View D-Index distribution as a table
Number of Environmental Sciences scientists by D-index, Research.com 2026 ranking edition. Based on 9,676 ranked scientists.
D-Index Scientists This scientist
30 12
31 26
32 51
33 88
34 123
35 163
36 206
37 267
38 265
39 275
40 321
41 343
42 305
43 336
44 330
45 348
46 291
47 275
48 272 48
49 273
50 263
51 232
52 266
53 217
54 198
55 177
56 202
57 204
58 166
59 177
60 166
61 152
62 143
63 150
64 124
65 119
66 120
67 118
68 82
69 98
70 94
71 105
72 74
73 84
74 70
75 67
76 78
77 60
78 59
79 52
80 47
81 38
82 48
83 42
84 42
85 43
86 29
87 37
88 29
89 30
90 34
91 20
92 22
93 17
94 19
95 24
96 21
97 20
98 24
99 17
100 17
101 21
102 25
103 18
104 26
105 20
106 15
107 10
108 13
109 15
110 12
111 8
112 7
113 9
114 6
115 12
116 7
117 8
118 3
119 5
120 7
121 2
122 4
123 8
124 7
125 9
126+ 92
Download as CSV

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

External Links

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Related Online Degrees & Career Pathways

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In addition, leadership roles in environmental agencies often require skills beyond science. Pursuing the best online masters in public administration can equip graduates with management strategies to effectively advocate for sustainable policies.

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.

Best Scientists Citing Kaiguang Zhao

Qinghua Guo

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Publications: 35

Xuesong Zhang

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Publications: 29

Avner Vengosh

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Duke University

Publications: 29

Andrew K. Skidmore

Andrew K. Skidmore

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Publications: 27

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Thomas H. Darrah

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Publications: 26

Susan L. Ustin

Susan L. Ustin

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Publications: 21

Marco Heurich

Marco Heurich

University of Freiburg

Publications: 21

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Nicholas C. Coops

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Publications: 21

Xuecao Li

Xuecao Li

China Agricultural University

Publications: 20

Erik Næsset

Erik Næsset

Norwegian University of Life Sciences

Publications: 19

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Juha Hyyppä

Finnish Geospatial Research Institute

Publications: 18

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