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Minghuai Wang

Minghuai Wang

Nanjing University
China

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Environmental Sciences 51 4736 4532 494 490 166 9785

Minghuai Wang publications per year

The chart shows the history of publications by Minghuai Wang between 2005 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Minghuai Wang published across 22 years, from 2005 to 2026, averaging 11.3 papers a year. Output peaked at 32 publications in 2025. 36 of the 248 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 2005 to 2026. Vertical axis: number of publications, 0 to 32. Peak 32 publications in 2025. 2005: 1 publication 2006: 0 publications 2007: 5 publications 2008: 1 publication 2009: 7 publications 2010: 1 publication 2011: 10 publications 2012: 7 publications 2013: 9 publications 2014: 8 publications 2015: 11 publications 2016: 9 publications 2017: 10 publications 2018: 12 publications 2019: 13 publications 2020: 16 publications 2021: 21 publications 2022: 19 publications 2023: 24 publications 2024: 28 publications 2025: 32 publications 2026: 4 publications
2005 2026

248 publications in total across all disciplines

View publications per year as a table
Minghuai Wang: publications per year, 2005 to 2026
Year Publications
2005 1
2006 0
2007 5
2008 1
2009 7
2010 1
2011 10
2012 7
2013 9
2014 8
2015 11
2016 9
2017 10
2018 12
2019 13
2020 16
2021 21
2022 19
2023 24
2024 28
2025 32
2026 4
Total 248
Download as CSV

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.

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, 161–170 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: 166 publications — 50th percentile

50% 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
161–170 444 166
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
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
Download as CSV

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.

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, 51 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: 51 D-Index — 52nd percentile

52% 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 51
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
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
Download as CSV

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

External Links

Personal website of Minghuai Wang

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Related Online Degrees & Career Pathways

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Best Scientists Citing Minghuai Wang

Xiaohong Liu

Xiaohong Liu

Texas A&M University

Publications: 113

Markku Kulmala

Markku Kulmala

University of Helsinki

Publications: 73

Hailong Wang

Hailong Wang

Pacific Northwest National Laboratory

Publications: 58

Yun Qian

Yun Qian

Pacific Northwest National Laboratory

Publications: 55

Philip J. Rasch

Philip J. Rasch

Pacific Northwest National Laboratory

Publications: 54

Andrew Gettelman

Andrew Gettelman

Pacific Northwest National Laboratory

Publications: 53

Philip Stier

Philip Stier

University of Oxford

Publications: 51

Steven J. Ghan

Steven J. Ghan

Pacific Northwest National Laboratory

Publications: 49

Kenneth S. Carslaw

Kenneth S. Carslaw

University of Leeds

Publications: 45

Joyce E. Penner

Joyce E. Penner

University of Michigan–Ann Arbor

Publications: 45

Tuukka Petäjä

Tuukka Petäjä

University of Helsinki

Publications: 43

Ulrike Lohmann

Ulrike Lohmann

ETH Zurich

Publications: 43

Richard C. Easter

Richard C. Easter

Pacific Northwest National Laboratory

Publications: 41

Nicolas Bellouin

Nicolas Bellouin

University of Reading

Publications: 40

Aijun Ding

Aijun Ding

Nanjing University

Publications: 40

Johannes Quaas

Johannes Quaas

Leipzig University

Publications: 40

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Dennis M. Dacey

Dennis M. Dacey

University of Washington

Bob van der Zwaan

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Norwegian Meteorological Institute

Martin J. J. Ronis

Martin J. J. Ronis

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Dik Lun Lee

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