World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Environmental Sciences 80 968 920 417 384 366 22870

Ming Xue publications per year

The chart shows the history of publications by Ming Xue between 1991 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Ming Xue published across 36 years, from 1991 to 2026, averaging 12.9 papers a year. Output peaked at 39 publications in 2013. 26 of the 465 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1991 to 2026. Vertical axis: number of publications, 0 to 39. Peak 39 publications in 2013. 1991: 1 publication 1992: 0 publications 1993: 1 publication 1994: 2 publications 1995: 2 publications 1996: 2 publications 1997: 2 publications 1998: 0 publications 1999: 1 publication 2000: 3 publications 2001: 4 publications 2002: 3 publications 2003: 2 publications 2004: 8 publications 2005: 5 publications 2006: 16 publications 2007: 11 publications 2008: 17 publications 2009: 13 publications 2010: 13 publications 2011: 11 publications 2012: 20 publications 2013: 39 publications 2014: 21 publications 2015: 13 publications 2016: 30 publications 2017: 21 publications 2018: 23 publications 2019: 30 publications 2020: 22 publications 2021: 26 publications 2022: 27 publications 2023: 27 publications 2024: 23 publications 2025: 25 publications 2026: 1 publication
1991 2026

465 publications in total across all disciplines

View publications per year as a table
Ming Xue: publications per year, 1991 to 2026
Year Publications
1991 1
1992 0
1993 1
1994 2
1995 2
1996 2
1997 2
1998 0
1999 1
2000 3
2001 4
2002 3
2003 2
2004 8
2005 5
2006 16
2007 11
2008 17
2009 13
2010 13
2011 11
2012 20
2013 39
2014 21
2015 13
2016 30
2017 21
2018 23
2019 30
2020 22
2021 26
2022 27
2023 27
2024 23
2025 25
2026 1
Total 465
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Ming Xue 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 Ming Xue 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, 361–370 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: 366 publications — 92nd percentile

92% 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
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 69 366
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
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Ming Xue 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 Ming Xue 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, 80 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: 80 D-Index — 90th percentile

90% 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
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 80
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
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Overview

Ming Xue is affiliated with the University of Oklahoma in the United States and specializes in Earth and Planetary Sciences, with a particular focus on Atmospheric Science and Global and Planetary Change. Their body of research spans across several main topics including meteorological phenomena and simulations, climate variability and models, tropical and extratropical cyclones research, precipitation measurement and analysis, wind and air flow studies, atmospheric and environmental gas dynamics, and atmospheric aerosols and clouds.

The scientist's research outputs are distributed across prominent publication venues such as Monthly Weather Review, Journal of Geophysical Research Atmospheres, Advances in Atmospheric Sciences, Journal of the Atmospheric Sciences, and Weather and Forecasting. These journals reflect their involvement in advancing understanding in atmospheric and environmental sciences.

Ming Xue has collaborated extensively with a range of coauthors, among the most frequent being Xiao-Ming Hu, Kefeng Zhu, Youngsun Jung, Chengsi Liu, and Rong Kong. These collaborative efforts have contributed to a diverse and comprehensive research portfolio.

Some recent papers featuring Ming Xue's research include:

  • "On the Key Dynamical Processes Supporting the 21.7 Zhengzhou Record-breaking Hourly Rainfall in China" (2022) published in Advances in Atmospheric Sciences
  • "Absence of near-ambient superconductivity in LuH2±xNy" (2023) published in Nature
  • "Variability of microphysical characteristics in the '21·7' Henan extremely heavy rainfall event" (2022) published in Science China Earth Sciences
  • "Direct Assimilation of Radar Data With Ensemble Kalman Filter and Hybrid Ensemble-Variational Method in the National Weather Service Operational Data Assimilation System GSI for the Stand-Alone Regional FV3 Model at a Convection-Allowing Resolution" (2020) published in Geophysical Research Letters
  • "Evaluation of Simulated Drop Size Distributions and Microphysical Processes Using Polarimetric Radar Observations for Landfalling Typhoon Matmo (2014)" (2020) published in Journal of Geophysical Research Atmospheres

Best Publications

  • The Advanced Regional Prediction System (ARPS) – A multi-scale nonhydrostatic atmospheric simulation and prediction model. Part I: Model dynamics and verification

    M. Xue;K. K. Droegemeier;V. Wong

  • The Advanced Regional Prediction System (ARPS), storm-scale numerical weather prediction and data assimilation

    Ming Xue;Donghai Wang;Jidong Gao;Keith Brewster

  • Ensemble kalman filter assimilation of doppler radar data with a compressible nonhydrostatic model : OSS experiments

    Mingjing Tong;Ming Xue

  • Use of NWP for Nowcasting Convective Precipitation: Recent Progress and Challenges

    Juanzhen Sun;Ming Xue;James W. Wilson;Isztar Zawadzki

  • The Advanced Regional Prediction System (ARPS) – A multi-scale nonhydrostatic atmospheric simulation and prediction tool. Part II: Model physics and applications

    Unknown

  • Convective-scale warn-on-forecast system: A vision for 2020

    David J. Stensrud;Ming Xue;Louis J. Wicker;Kevin E. Kelleher

  • A Three-Dimensional Variational Data Analysis Method with Recursive Filter for Doppler Radars

    Jidong Gao;Ming Xue;Keith Brewster;Kelvin K. Droegemeier

  • 3DVAR and Cloud Analysis with WSR-88D Level-II Data for the Prediction of the Fort Worth, Texas, Tornadic Thunderstorms. Part I: Cloud Analysis and Its Impact

    Ming Hu;Ming Xue;Keith Brewster

  • A Variational Method for the Analysis of Three-Dimensional Wind Fields from Two Doppler Radars

    Jidong Gao;Ming Xue;Alan Shapiro;Kelvin K. Droegemeier

  • 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

  • Explicit Filtering and Reconstruction Turbulence Modeling for Large-Eddy Simulation of Neutral Boundary Layer Flow

    Fotini Katopodes Chow;Robert L. Street;Ming Xue;Joel H. Ferziger

  • Evaluation of the updated YSU planetary boundary layer scheme within WRF for wind resource and air quality assessments

    Xiao-Ming Hu;Petra M. Klein;Ming Xue

  • 3DVAR and Cloud Analysis with WSR-88D Level-II Data for the Prediction of the Fort Worth, Texas, Tornadic Thunderstorms. Part II: Impact of Radial Velocity Analysis via 3DVAR

    Ming Hu;Ming Xue;Jidong Gao;Keith Brewster

  • An OSSE Framework Based on the Ensemble Square Root Kalman Filter for Evaluating the Impact of Data from Radar Networks on Thunderstorm Analysis and Forecasting

    Ming Xue;Mingjing Tong;Kelvin K. Droegemeier

  • Assimilation of Simulated Polarimetric Radar Data for a Convective Storm Using the Ensemble Kalman Filter. Part I: Observation Operators for Reflectivity and Polarimetric Variables

    Youngsun Jung;Guifu Zhang;Ming Xue

  • High-Resolution Large-Eddy Simulations of Flow in a Steep Alpine Valley. Part I: Methodology, Verification, and Sensitivity Experiments

    Fotini Katopodes Chow;Andreas P. Weigel;Robert L. Street;Mathias W. Rotach

  • Comparison of Evaporation and Cold Pool Development between Single-Moment and Multimoment Bulk Microphysics Schemes in Idealized Simulations of Tornadic Thunderstorms

    Daniel T. Dawson;Ming Xue;Jason A. Milbrandt;M. K. Yau

  • Progress and challenges with Warn-on-Forecast

    David J. Stensrud;Louis J. Wicker;Ming Xue;Daniel T. Dawson;Daniel T. Dawson

Frequent Co-Authors

Fanyou Kong
Fanyou Kong University of Oklahoma
Guifu Zhang
Guifu Zhang University of Oklahoma
Kelvin K. Droegemeier
Kelvin K. Droegemeier University of Oklahoma
Wen-Chau Lee
Wen-Chau Lee National Center for Atmospheric Research
David J. Stensrud
David J. Stensrud Pennsylvania State University
Yao Zhang
Yao Zhang Peking University
Kenneth J. Davis
Kenneth J. Davis Pennsylvania State University
Richard J. Doviak
Richard J. Doviak National Oceanic and Atmospheric Administration
William A. Gallus
William A. Gallus Iowa State University
Stanley G. Benjamin
Stanley G. Benjamin National Oceanic and Atmospheric Administration

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