World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
34
Citations
4348
World Ranking
9459
National Ranking
3389

Fanyou Kong 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 Fanyou Kong 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: 68 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Fanyou Kong 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 Fanyou Kong 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: 34 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Fanyou Kong is a researcher affiliated with the University of Oklahoma in the United States. Their research primarily focuses on environmental science and earth and planetary sciences, with particular emphasis on global and planetary change, atmospheric science, and astronomy and astrophysics as subfields of study.

Their work addresses various topics within meteorological phenomena and simulations, climate variability and models, as well as interactions involving fire effects on ecosystems. Additional topics of interest include lightning and electromagnetic phenomena, atmospheric aerosols and clouds, plant water relations and carbon dynamics, and precipitation measurement and analysis.

Kong's publications have appeared frequently in several peer-reviewed venues, notably:

  • Monthly Weather Review (2 publications)
  • Weather and Forecasting (1 publication)
  • Geophysical Research Letters (1 publication)

Recent papers authored or co-authored by Kong include:

  • "Sensitivities of the WRF Lightning Forecasting Algorithm to Parameterized Microphysics and Boundary Layer Schemes," 2020, Weather and Forecasting
  • "Assessing the Impact of Stochastic Perturbations in Cloud Microphysics using GOES-16 Infrared Brightness Temperatures," 2020, Monthly Weather Review
  • "Error Growth Dynamics within Convection-Allowing Ensemble Forecasts over Central U.S. Regions for Days of Active Convection," 2021, Monthly Weather Review
  • "Comparison and Verification of Point-Wise and Patch-Wise Localized Probability-Matched Mean Algorithms for Ensemble Consensus Precipitation Forecasts," 2020, Geophysical Research Letters

Collaborative work is evident in Kong's research, with frequent co-authors including Ming Xue, Eugene W. McCaul, George Priftis, Jonathan L. Case, and Themis Chronis. These collaborations span diverse aspects of atmospheric and environmental science.

Best Publications

  • Toward Improved Convection-Allowing Ensembles: Model Physics Sensitivities and Optimizing Probabilistic Guidance with Small Ensemble Membership

    Craig S. Schwartz;John S. Kain;Steven J. Weiss;Ming Xue

  • Next-Day Convection-Allowing WRF Model Guidance: A Second Look at 2-km versus 4-km Grid Spacing

    Craig S. Schwartz;John S. Kain;Steven J. Weiss;Ming Xue

  • A Comparison of Precipitation Forecast Skill between Small Convection-Allowing and Large Convection-Parameterizing Ensembles

    Adam J. Clark;William A. Gallus;Ming Xue;Fanyou Kong

  • An Overview of the 2010 Hazardous Weather Testbed Experimental Forecast Program Spring Experiment

    Adam J. Clark;Steven J. Weiss;John S. Kain;Israel L. Jirak

  • Verification of Convection-Allowing WRF Model Forecasts of the Planetary Boundary Layer Using Sounding Observations

    Michael C. Coniglio;James Correia;Patrick T. Marsh;Fanyou Kong

  • Probabilistic Precipitation Forecast Skill as a Function of Ensemble Size and Spatial Scale in a Convection-Allowing Ensemble

    Adam J. Clark;John S. Kain;David J. Stensrud;Ming Xue

  • An explicit approach to microphysics in MC2

    Fanyou Kong;M.K. Yau

  • A Feasibility Study for Probabilistic Convection Initiation Forecasts Based on Explicit Numerical Guidance

    John S. Kain;Michael C. Coniglio;James Correia;Adam J. Clark

  • Explicitly-coupled cloud physics and radiation parameterizations and subsequent evaluation in WRF high-resolution convective forecasts

    Gregory Thompson;Mukul Tewari;Kyoko Ikeda;Sarah Tessendorf

  • Evaluating the Performance of Planetary Boundary Layer and Cloud Microphysical Parameterization Schemes in Convection-Permitting Ensemble Forecasts Using Synthetic GOES-13 Satellite Observations

    Rebecca Cintineo;Jason A. Otkin;Ming Xue;Fanyou Kong

  • Assessing Advances in the Assimilation of Radar Data and Other Mesoscale Observations within a Collaborative Forecasting-Research Environment

    John S. Kain;Ming Xue;Michael C. Coniglio;Steven J. Weiss

  • Application of Object-Based Time-Domain Diagnostics for Tracking Precipitation Systems in Convection-Allowing Models

    Adam J. Clark;Randy G. Bullock;Tara L. Jensen;Ming Xue

  • Breaking New Ground in Severe Weather Prediction: The 2015 NOAA/Hazardous Weather Testbed Spring Forecasting Experiment

    Burkely T. Gallo;Adam J. Clark;Israel Jirak;John S. Kain

  • Tornado Pathlength Forecasts from 2010 to 2011 Using Ensemble Updraft Helicity

    Adam J. Clark;Adam J. Clark;Jidong Gao;Patrick T. Marsh;Patrick T. Marsh;Patrick T. Marsh;Travis Smith;Travis Smith

  • Object-Based Evaluation of the Impact of Horizontal Grid Spacing on Convection-Allowing Forecasts

    Aaron Johnson;Xuguang Wang;Fanyou Kong;Ming Xue

  • Forecasting Tornado Pathlengths Using a Three-Dimensional Object Identification Algorithm Applied to Convection-Allowing Forecasts

    Adam J. Clark;Adam J. Clark;John S. Kain;Patrick T. Marsh;Patrick T. Marsh;Patrick T. Marsh;James Correia;James Correia

  • Multiscale Characteristics and Evolution of Perturbations for Warm Season Convection-Allowing Precipitation Forecasts: Dependence on Background Flow and Method of Perturbation

    Aaron Johnson;Xuguang Wang;Ming Xue;Fanyou Kong

  • The community leveraged unified ensemble (CLUE) in the 2016 NOAA/hazardous weather testbed spring forecasting experiment

    Adam J. Clark;Israel L. Jirak;Scott R. Dembek;Gerry J. Creager

  • Hierarchical Cluster Analysis of a Convection-Allowing Ensemble during the Hazardous Weather Testbed 2009 Spring Experiment. Part II: Ensemble Clustering over the Whole Experiment Period

    Aaron Johnson;Xuguang Wang;Ming Xue;Fanyou Kong

  • Convection-Allowing and Convection-Parameterizing Ensemble Forecasts of a Mesoscale Convective Vortex and Associated Severe Weather Environment

    Adam J. Clark;William A. Gallus;Ming Xue;Fanyou Kong

  • The Diurnal Cycle of Precipitation from Continental Radar Mosaics and Numerical Weather Prediction Models. Part II: Intercomparison among Numerical Models and with Nowcasting

    Marc Berenguer;Madalina Surcel;Isztar Zawadzki;Ming Xue

Frequent Co-Authors

Ming Xue
Ming Xue University of Oklahoma
Kelvin K. Droegemeier
Kelvin K. Droegemeier University of Oklahoma
Gregory Thompson
Gregory Thompson National Center for Atmospheric Research
William A. Gallus
William A. Gallus Iowa State University
Jason A. Otkin
Jason A. Otkin University of Wisconsin–Madison
Efi Foufoula-Georgiou
Efi Foufoula-Georgiou University of California, Irvine
Steven J. Goodman
Steven J. Goodman National Oceanic and Atmospheric Administration
Conrad L. Ziegler
Conrad L. Ziegler National Oceanic and Atmospheric Administration
Isztar Zawadzki
Isztar Zawadzki McGill University
Guifu Zhang
Guifu Zhang University of Oklahoma

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