World's Best Scientists 2026 revealed!
Minghuai Wang

Minghuai Wang

D-Index & Metrics

Environmental Sciences

D-Index
51
Citations
9785
World Ranking
4734
National Ranking
491

Minghuai Wang 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 Minghuai Wang 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: 166 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Minghuai Wang 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 Minghuai Wang 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: 51 D-Index — 52nd percentile

52% of scientists in this discipline score the same or lower.

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

Overview

Minghuai Wang is affiliated with Nanjing University in China and has contributed extensively to research in Earth and Planetary Sciences as well as Environmental Science. Their work primarily focuses on Atmospheric Science and Global and Planetary Change, with additional publications that touch on Health, Toxicology and Mutagenesis, Environmental Engineering, and Molecular Biology.

The scientist has addressed a wide range of topics within their research, including:

  • Atmospheric chemistry and aerosols
  • Atmospheric aerosols and clouds
  • Climate variability and models
  • Atmospheric ozone and climate
  • Meteorological phenomena and simulations
  • Air quality and health impacts
  • Atmospheric and environmental gas dynamics

Minghuai Wang's recent papers illustrate their research scope and include studies such as:

  • Protecting ice from melting under sunlight via radiative cooling, 2022, Science Advances
  • Emergent constraints on future projections of the western North Pacific Subtropical High, 2020, Nature Communications
  • Aerosol-boundary-layer-monsoon interactions amplify semi-direct effect of biomass smoke on low cloud formation in Southeast Asia, 2021, Nature Communications
  • Surprising similarities in model and observational aerosol radiative forcing estimates, 2020, Atmospheric chemistry and physics
  • Development and Assessment of a High-Resolution Biogenic Emission Inventory from Urban Green Spaces in China, 2021, Environmental Science & Technology

The researcher frequently collaborates with several co-authors, including:

  • Daniel Rosenfeld
  • Yannian Zhu
  • Xinyi Dong
  • Yawen Liu
  • Yuan Liang

Minghuai Wang has also published numerous articles in prominent scientific journals, with multiple contributions to:

  • Journal of Geophysical Research Atmospheres (18 publications)
  • Geophysical Research Letters (9 publications)
  • Journal of Advances in Modeling Earth Systems (8 publications)
  • Atmospheric chemistry and physics (7 publications)
  • Atmospheric Research (6 publications)

Best Publications

  • Enhanced haze pollution by black carbon in megacities in China

    A. J. Ding;X. Huang;W. Nie;J. N. Sun

  • Aerosol indirect effects – general circulation model intercomparison and evaluation with satellite data

    Johannes Quaas;Yi Ming;Surabi Menon;Surabi Menon;T. Takemura

  • Aerosol-driven droplet concentrations dominate coverage and water of oceanic low level clouds

    Daniel Rosenfeld;Daniel Rosenfeld;Yannian Zhu;Minghuai Wang;Youtong Zheng

  • Polar amplification in a coupled climate model with locked albedo

    Rune Grand Graversen;Rune Grand Graversen;Minghuai Wang

  • Protecting ice from melting under sunlight via radiative cooling

    Unknown

  • Aerosol indirect forcing in a global model with particle nucleation

    M. Wang;J. E. Penner

  • Constraining cloud lifetime effects of aerosols using A‐Train satellite observations

    Minghuai Wang;Steven Ghan;Xiaohong Liu;Tristan S. L'Ecuyer

  • Inclusion of Ice Microphysics in the NCAR Community Atmospheric Model Version 3 (CAM3)

    Xiaohong Liu;Joyce E. Penner;Steven J. Ghan;Minghuai Wang

  • Challenges in constraining anthropogenic aerosol effects on cloud radiative forcing using present-day spatiotemporal variability

    Steven Ghan;Minghuai Wang;Shipeng Zhang;Sylvaine Ferrachat

  • Have Australian rainfall and cloudiness increased due to the remote effects of Asian anthropogenic aerosols

    Leon D. Rotstayn;Wenju Cai;Martin R. Dix;Graham D. Farquhar

  • Sensitivity of remote aerosol distributions to representation of cloud–aerosol interactions in a global climate model

    Hailong Wang;Richard C. Easter;Philip J. Rasch;Minghuai Wang

  • Assessing the effects of anthropogenic aerosols on Pacific storm track using a multiscale global climate model

    Yuan Wang;Minghuai Wang;Renyi Zhang;Steven J. Ghan

  • A numerical study of the effect of different aerosol types on East Asian summer clouds and precipitation

    Yiquan Jiang;Yiquan Jiang;Xiaohong Liu;Xiu-Qun Yang;Minghuai Wang

  • Satellite methods underestimate indirect climate forcing by aerosols.

    Joyce E. Penner;Li Xu;Minghuai Wang

  • Aerosol indirect effects in a multi-scale aerosol-climate model PNNL-MMF

    M. Wang;S. Ghan;M. Ovchinnikov;Xiaohong Liu

  • Constraining the instantaneous aerosol influence on cloud albedo.

    Edward Gryspeerdt;Johannes Quaas;Sylvaine Ferrachat;Andrew Gettelman

  • Constraining the influence of natural variability to improve estimates of global aerosol indirect effects in a nudged version of the Community Atmosphere Model 5

    Gabriel J. Kooperman;Michael S. Pritchard;Steven J. Ghan;Minghuai Wang

  • Effects of aerosol-radiation interaction on precipitation during biomass-burning season in East China

    Xin Huang;Aijun Ding;Lixia Liu;Qiang Liu

  • Uncertainty quantification and parameter tuning in the CAM5 Zhang‐McFarlane convection scheme and impact of improved convection on the global circulation and climate

    Ben Yang;Ben Yang;Yun Qian;Guang Lin;L. Ruby Leung

  • Possible influence of anthropogenic aerosols on cirrus clouds and anthropogenic forcing

    Joyce E. Penner;Yang Chen;Yang Chen;Minghuai Wang;Xiaohong Liu

  • Influence of anthropogenic sulfate and black carbon on upper tropospheric clouds in the NCAR CAM3 model coupled to the IMPACT global aerosol model

    Xiaohong Liu;Joyce E. Penner;Minghuai Wang

Frequent Co-Authors

Xiaohong Liu
Xiaohong Liu Texas A&M University
Steven J. Ghan
Steven J. Ghan Pacific Northwest National Laboratory
Joyce E. Penner
Joyce E. Penner University of Michigan–Ann Arbor
Yun Qian
Yun Qian Pacific Northwest National Laboratory
Hailong Wang
Hailong Wang Pacific Northwest National Laboratory
Hugh Morrison
Hugh Morrison National Center for Atmospheric Research
Andrew Gettelman
Andrew Gettelman Pacific Northwest National Laboratory
Vincent E. Larson
Vincent E. Larson University of Wisconsin–Milwaukee
Philip J. Rasch
Philip J. Rasch Pacific Northwest National Laboratory
Richard C. Easter
Richard C. Easter Pacific Northwest National Laboratory

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