World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
70
Citations
15808
World Ranking
1700
National Ranking
714

Kaiyu Guan 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 Kaiyu Guan 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: 204 publications — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Kaiyu Guan 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 Kaiyu Guan 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: 70 D-Index — 83rd percentile

83% of scientists in this discipline score the same or lower.

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

Overview

Kaiyu Guan is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research spans multiple disciplines within environmental and agricultural sciences, with a particular focus on remote sensing applications in agriculture, plant water relations, soil science, and climate change impacts on crop and ecosystem dynamics.

Their work is distributed across several main fields of study including Environmental Science and Agricultural and Biological Sciences. Within these, key subfields include Global and Planetary Change, Plant Science, Ecology, Soil Science, and Ecology, Evolution, Behavior and Systematics.

Kaiyu Guan's research topics cover areas such as Remote Sensing in Agriculture, Plant Water Relations and Carbon Dynamics, Climate change impacts on agriculture, Soil Carbon and Nitrogen Dynamics, Plant responses to elevated CO2, Atmospheric and Environmental Gas Dynamics, and Soil and Water Nutrient Dynamics.

The scientist has published extensively in certain venues, frequently contributing to Agricultural and Forest Meteorology, Remote Sensing of Environment, Environmental Research Letters, Global Change Biology, and the Journal of Hydrology.

Among their recent publications are:

  • "Do cover crops benefit soil microbiome? A meta-analysis of current research" (2020), Soil Biology and Biochemistry
  • "Towards a multiscale crop modelling framework for climate change adaptation assessment" (2020), Nature Plants
  • "Silver lining to a climate crisis in multiple prospects for alleviating crop waterlogging under future climates" (2023), Nature Communications
  • "Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing" (2022), Remote Sensing of Environment
  • "NIRVP: A robust structural proxy for sun-induced chlorophyll fluorescence and photosynthesis across scales" (2021), Remote Sensing of Environment

Kaiyu Guan frequently collaborates with co-authors such as Bin Peng, Chongya Jiang, Wang Zhou, Zhenong Jin, and Sheng Wang.

Best Publications

  • Excessive rainfall leads to maize yield loss of a comparable magnitude to extreme drought in the United States

    Yan Li;Yan Li;Kaiyu Guan;Gary D Schnitkey;Evan H Delucia

  • Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches

    Yaping Cai;Kaiyu Guan;David Lobell;Andries B. Potgieter

  • A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach

    Yaping Cai;Kaiyu Guan;Jian Peng;Shaowen Wang

  • Leaf development and demography explain photosynthetic seasonality in Amazon evergreen forests.

    Jin Wu;Loren P. Albert;Aline P. Lopes;Natalia Restrepo-Coupe;Natalia Restrepo-Coupe

  • A Drought Monitoring and Forecasting System for Sub-Sahara African Water Resources and Food Security

    Justin Sheffield;Eric F. Wood;Nathaniel Chaney;Kaiyu Guan

  • Photosynthetic seasonality of global tropical forests constrained by hydroclimate

    Kaiyu Guan;Kaiyu Guan;Ming Pan;Haibin Li;Adam Wolf

  • Interactions between urban heat islands and heat waves

    Lei Zhao;Michael Oppenheimer;Qing Zhu;Jane W. Baldwin

  • Do cover crops benefit soil microbiome? A meta-analysis of current research

    Nakian Kim;María C. Zabaloy;Kaiyu Guan;María B. Villamil

  • Diversity in plant hydraulic traits explains seasonal and inter-annual variations of vegetation dynamics in seasonally dry tropical forests

    Xiangtao Xu;David Medvigy;Jennifer S. Powers;Justin M. Becknell

  • Improving the monitoring of crop productivity using spaceborne solar-induced fluorescence

    Kaiyu Guan;Joseph A. Berry;Yongguang Zhang;Joanna Joiner

  • Silver lining to a climate crisis in multiple prospects for alleviating crop waterlogging under future climates

    Unknown

  • Towards a multiscale crop modelling framework for climate change adaptation assessment

    Bin Peng;Kaiyu Guan;Jinyun Tang;Elizabeth A. Ainsworth

  • Highland cropland expansion and forest loss in Southeast Asia in the twenty-first century

    Zhenzhong Zeng;Lyndon Estes;Alan D. Ziegler;Anping Chen

  • Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing

    Unknown

  • The shared and unique values of optical, fluorescence, thermal and microwave satellite data for estimating large-scale crop yields.

    Kaiyu Guan;Jin Wu;John S. Kimball;Martha C. Anderson

  • Satellite sun‐induced chlorophyll fluorescence detects early response of winter wheat to heat stress in the Indian Indo‐Gangetic Plains

    Lian Song;Lian Song;Luis Guanter;Kaiyu Guan;Liangzhi You;Liangzhi You

  • Temperature impacts on the water year 2014 drought in California

    Shraddhanand Shukla;Mohammad Safeeq;Mohammad Safeeq;Amir AghaKouchak;Kaiyu Guan

  • Dry-season greening of Amazon forests.

    Scott R. Saleska;Jin Wu;Kaiyu Guan;Alessandro C. Araujo

  • Sun‐Induced Chlorophyll Fluorescence, Photosynthesis, and Light Use Efficiency of a Soybean Field from Seasonally Continuous Measurements

    Guofang Miao;Kaiyu Guan;Xi Yang;Carl J. Bernacchi;Carl J. Bernacchi

  • High-throughput field phenotyping using hyperspectral reflectance and partial least squares regression (PLSR) reveals genetic modifications to photosynthetic capacity

    Katherine Meacham-Hensold;Christopher M. Montes;Jin Wu;Jin Wu;Kaiyu Guan

  • Terrestrial hydrological controls on land surface phenology of African savannas and woodlands

    Kaiyu Guan;Kaiyu Guan;Eric F. Wood;David Medvigy;John S Kimball

  • Partitioning controls on Amazon forest photosynthesis between environmental and biotic factors at hourly to interannual timescales

    Jin Wu;Kaiyu Guan;Matthew Hayek;Natalia Restrepo-Coupe;Natalia Restrepo-Coupe

Frequent Co-Authors

Carl J. Bernacchi
Carl J. Bernacchi University of Illinois at Urbana-Champaign
Elizabeth A. Ainsworth
Elizabeth A. Ainsworth University of Illinois at Urbana-Champaign
Joseph A. Berry
Joseph A. Berry Carnegie Institution for Science
Ming Pan
Ming Pan Princeton University
Natalia Restrepo-Coupe
Natalia Restrepo-Coupe University of Technology Sydney
Alfredo Huete
Alfredo Huete University of Technology Sydney
Kelly K. Caylor
Kelly K. Caylor University of California, Santa Barbara
John S. Kimball
John S. Kimball University of Montana
Eric F. Wood
Eric F. Wood Princeton University

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Related Online Degrees & Career Pathways

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