World's Best Scientists 2026 revealed!
Qingyun Duan

Qingyun Duan

Award Badge
Environmental Sciences
China
2023

D-Index & Metrics

Environmental Sciences

D-Index
81
Citations
39838
World Ranking
906
National Ranking
90

Qingyun Duan 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 Qingyun Duan 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: 236 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Qingyun Duan 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 Qingyun Duan 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: 81 D-Index — 91st percentile

91% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2023 - Research.com Environmental Sciences in China Leader Award
  • 2012 - Fellow of American Geophysical Union (AGU)

Overview

Qingyun Duan is affiliated with Hohai University in China. Their research primarily focuses on environmental science and earth and planetary sciences, with specific attention to subfields including global and planetary change, atmospheric science, water science and technology, environmental engineering, and ecology.

The main topics in Duan's body of work include climate variability and models, hydrology and watershed management studies, meteorological phenomena and simulations, flood risk assessment and management, hydrological forecasting using artificial intelligence, precipitation measurement and analysis, and cryospheric studies and observations.

Frequent coauthors in Duan's research include Chiyuan Miao, Xuewei Fan, Jiaojiao Gou, Ruochen Sun, and Chenwei Shen.

Duan's publications have appeared repeatedly in several scientific journals. Notably, these venues include Journal of Hydrology, Reviews of Geophysics, Water Resources Research, Journal of Geophysical Research Atmospheres, and Earth's Future.

Some of Duan's recent papers include:

  • The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support (2020, Environmental Modelling & Software)
  • Ensemble flood forecasting: Current status and future opportunities (2020, Wiley Interdisciplinary Reviews Water)
  • Global surface air temperatures in CMIP6: historical performance and future changes (2020, Environmental Research Letters)
  • Sensitivity Analysis-Based Automatic Parameter Calibration of the VIC Model for Streamflow Simulations Over China (2020, Water Resources Research)
  • The Performance of CMIP6 Versus CMIP5 in Simulating Temperature Extremes Over the Global Land Surface (2020, Journal of Geophysical Research Atmospheres)

Qingyun Duan was awarded the status of Fellow of the American Geophysical Union (AGU) in 2012.

Best Publications

  • Effective and efficient global optimization for conceptual rainfall‐runoff models

    Qingyun Duan;Soroosh Sorooshian;Vijai Gupta

  • Shuffled complex evolution approach for effective and efficient global minimization

    Q. Y. Duan;V. K. Gupta;S. Sorooshian

  • Optimal use of the SCE-UA global optimization method for calibrating watershed models

    Qingyun Duan;Soroosh Sorooshian;Vijai K. Gupta

  • A Review of Global Precipitation Data Sets: Data Sources, Estimation, and Intercomparisons

    Qiaohong Sun;Chiyuan Miao;Qingyun Duan;Hamed Ashouri

  • The multi-institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system

    Kenneth E. Mitchell;Dag Lohmann;Paul R. Houser;Eric F. Wood

  • Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products

    Youlong Xia;Kenneth Mitchell;Michael Ek;Justin Sheffield

  • Modeling of land surface evaporation by four schemes and comparison with FIFE observations

    Fei Chen;Kenneth Mitchell;John Schaake;Yongkang Xue

  • Multi-model ensemble hydrologic prediction using Bayesian model averaging

    Qingyun Duan;Newsha K. Ajami;Xiaogang Gao;Soroosh Sorooshian

  • Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops

    Q. Duan;J. Schaake;V. Andréassian;S. Franks

  • Real‐time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project

    Brian A. Cosgrove;Brian A. Cosgrove;Dag Lohmann;Kenneth E. Mitchell;Paul R. Houser

  • An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction

    Newsha K. Ajami;Qingyun Duan;Soroosh Sorooshian

  • A parameterization of snowpack and frozen ground intended for NCEP weather and climate models

    V. Koren;J. Schaake;K. Mitchell;Q.-Y. Duan

  • A global soil data set for earth system modeling

    Wei Shangguan;Yongjiu Dai;Qingyun Duan;Baoyuan Liu

  • Calibration of rainfall‐runoff models: Application of global optimization to the Sacramento Soil Moisture Accounting Model

    Soroosh Sorooshian;Qingyun Duan;Vijai Kumar Gupta

  • A China data set of soil properties for land surface modeling

    Wei Shangguan;Yongjiu Dai;Baoyuan Liu;Axing Zhu

  • The Art and Science of Climate Model Tuning

    Frédéric Hourdin;Thorsten Mauritsen;Andrew Gettelman;Jean-Christophe Golaz

  • Simple water balance model for estimating runoff at different spatial and temporal scales

    John C. Schaake;Victor I. Koren;Qing-Yun Duan;Kenneth Mitchell

  • Development of a large-sample watershed-scale hydrometeorological data set for the contiguous USA: data set characteristics and assessment of regional variability in hydrologic model performance

    A. J. Newman;M. P. Clark;K. Sampson;A. Wood

  • Continental‐scale water and energy flux analysis and validation for North American Land Data Assimilation System project phase 2 (NLDAS‐2): 2. Validation of model‐simulated streamflow

    Youlong Xia;Kenneth Mitchell;Michael Ek;Brian Cosgrove

  • The distributed model intercomparison project (DMIP): Motivation and experiment design

    Michael B. Smith;Dong Jun Seo;Victor I. Koren;Seann M. Reed

Frequent Co-Authors

Chiyuan Miao
Chiyuan Miao Beijing Normal University
Lifeng Luo
Lifeng Luo Michigan State University
Kenneth E. Mitchell
Kenneth E. Mitchell National Oceanic and Atmospheric Administration
Eric F. Wood
Eric F. Wood Princeton University
Alan Robock
Alan Robock Rutgers, The State University of New Jersey
Soroosh Sorooshian
Soroosh Sorooshian University of California, Irvine
Justin Sheffield
Justin Sheffield University of Southampton
R. Wayne Higgins
R. Wayne Higgins National Oceanic and Atmospheric Administration
Paul R. Houser
Paul R. Houser George Mason University
Rachel T. Pinker
Rachel T. Pinker University of Maryland, College Park

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those interested in advancing their expertise beyond a bachelor's in Environmental Sciences, exploring related online degrees can open new career avenues. Programs such as an EdD without dissertation offer a flexible route for professionals who want to deepen their knowledge without the traditional dissertation hurdle. This approach suits working individuals seeking a practical terminal degree in education and leadership.

Moreover, students can consider the best online EDS to EdD programs, which provide a streamlined path for educators and environmental advocates aiming to impact policy and educational frameworks. These programs emphasize leadership development alongside environmental and educational knowledge.

For professionals interested in community-focused work, pursuing a DSW program online can be highly beneficial. It equips students with skills in social work applicable to environmental justice and sustainability efforts, bridging environmental science with social impact.

Lastly, those looking for broad foundational studies might explore the cheapest online general studies degree programs. Such degrees offer customizable learning paths, allowing students to integrate environmental themes with other disciplines, creating unique career platforms tailored to emerging market needs.

Exploring these varied options can significantly enhance career prospects in environmental fields. To learn more, visit the links for edd without dissertation, best online eds to edd programs, dsw program, and cheapest online general studies degree programs.

Best Scientists Citing Qingyun Duan

Trending Scientists