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 71 1618 1540 684 630 289 16046

Jun Wang publications per year

The chart shows the history of publications by Jun Wang between 1994 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Jun Wang published across 32 years, from 1994 to 2025, averaging 15.6 papers a year. Output peaked at 56 publications in 2023. 91 of the 500 publications appeared in the last two years.

No. of publications
10 20 30 40 50
Bar chart. Horizontal axis: year, 1994 to 2025. Vertical axis: number of publications, 0 to 56. Peak 56 publications in 2023. 1994: 1 publication 1995: 0 publications 1996: 0 publications 1997: 0 publications 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 1 publication 2003: 13 publications 2004: 6 publications 2005: 0 publications 2006: 3 publications 2007: 3 publications 2008: 5 publications 2009: 2 publications 2010: 13 publications 2011: 11 publications 2012: 10 publications 2013: 20 publications 2014: 13 publications 2015: 13 publications 2016: 24 publications 2017: 34 publications 2018: 31 publications 2019: 35 publications 2020: 33 publications 2021: 27 publications 2022: 55 publications 2023: 56 publications 2024: 40 publications 2025: 51 publications
1994 2025

500 publications in total across all disciplines

View publications per year as a table
Jun Wang: publications per year, 1994 to 2025
Year Publications
1994 1
1995 0
1996 0
1997 0
1998 0
1999 0
2000 0
2001 0
2002 1
2003 13
2004 6
2005 0
2006 3
2007 3
2008 5
2009 2
2010 13
2011 11
2012 10
2013 20
2014 13
2015 13
2016 24
2017 34
2018 31
2019 35
2020 33
2021 27
2022 55
2023 56
2024 40
2025 51
Total 500
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Jun 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 Jun 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, 281–290 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: 289 publications — 84th percentile

84% 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
281–290 130 289
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
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Jun 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 Jun 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, 71 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: 71 D-Index — 84th percentile

84% 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 71
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
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Overview

Jun Wang is a researcher affiliated with the University of Iowa in the United States. Their work is primarily situated within the fields of Environmental Science and Earth and Planetary Sciences, with a strong focus on Atmospheric Science and related subfields.

Their main research topics cover various aspects of atmospheric chemistry and aerosols, including:

  • Atmospheric chemistry and aerosols
  • Atmospheric aerosols and clouds
  • Atmospheric and Environmental Gas Dynamics
  • Air Quality and Health Impacts
  • Atmospheric Ozone and Climate
  • Air Quality Monitoring and Forecasting
  • Climate variability and models

Jun Wang has contributed to several recent papers published in notable scientific journals. Some of the key publications include:

  • Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China, 2021, Remote Sensing of Environment
  • Evaluation of the ERA5 reanalysis precipitation dataset over Chinese Mainland, 2020, Journal of Hydrology
  • Six global biomass burning emission datasets: intercomparison and application in one global aerosol model, 2020, Atmospheric chemistry and physics
  • Ground-level gaseous pollutants (NO2, SO2, and CO) in China: daily seamless mapping and spatiotemporal variations, 2023, Atmospheric chemistry and physics
  • Ground-Level NO2 Surveillance from Space Across China for High Resolution Using Interpretable Spatiotemporally Weighted Artificial Intelligence, 2022, Environmental Science & Technology

The publication venues where Jun Wang frequently publishes include:

  • Harvard Dataverse
  • Atmospheric chemistry and physics
  • Journal of Geophysical Research Atmospheres
  • Zenodo (CERN European Organization for Nuclear Research)
  • SSRN Electronic Journal

Jun Wang often collaborates with several other researchers, reflecting a network of frequent co-authors, which include:

  • Daven K. Henze
  • Zhen Qu
  • Meng Zhou
  • Nicolas Theys
  • Jing Wei

Overall, Jun Wang's body of work reflects a comprehensive engagement with the study of atmospheric processes, pollution mapping, emission datasets, and the application of artificial intelligence for environmental monitoring. Their research contributes to a better understanding of air quality variations and the implications of atmospheric chemicals on health and climate.

Best Publications

  • Intercomparison between satellite-derived aerosol optical thickness and PM2.5 mass: Implications for air quality studies

    Jun Wang;Sundar A. Christopher

  • Satellite remote sensing of particulate matter and air quality assessment over global cities

    Pawan Gupta;Sundar A. Christopher;Jun Wang;Robert Gehrig

  • Full-coverage mapping and spatiotemporal variations of ground-level ozone (O3) pollution from 2013 to 2020 across China

    Jing Wei;Jing Wei;Zhanqing Li;Ke Li;Russell R. Dickerson

  • Tropospheric emissions: Monitoring of pollution (TEMPO)

    P. Zoogman;X. Liu;R.M. Suleiman;W.F. Pennington

  • Observing and understanding the Southeast Asian aerosol system by remote sensing: An initial review and analysis for the Seven Southeast Asian Studies (7SEAS) program

    Jeffrey S. Reid;Edward J. Hyer;Randall S. Johnson;Brent N. Holben

  • Global Monitoring and Forecasting of Biomass-Burning Smoke: Description of and Lessons From the Fire Locating and Modeling of Burning Emissions (FLAMBE) Program

    J.S. Reid;E.J. Hyer;E.M. Prins;D.L. Westphal

  • Global budget and radiative forcing of black carbon aerosol: Constraints from pole-to-pole (HIPPO) observations across the Pacific

    Qiaoqiao Wang;Daniel James Jacob;J. Ryan Spackman;Anne E. Perring;Anne E. Perring

  • Intercomparison of SCIAMACHY and OMI Tropospheric NO2 Columns: Observing the Diurnal Evolution of Chemistry and Emissions from Space

    K. Folkert Boersma;K. Folkert Boersma;Daniel J. Jacob;Henk J. Eskes;Robert W. Pinder

  • Six global biomass burning emission datasets: intercomparison and application in one global aerosol model

    Xiaohua Pan;Xiaohua Pan;Charles Ichoku;Mian Chin;Huisheng Bian;Huisheng Bian

  • Origin and radiative forcing of black carbon transported to the Himalayas and Tibetan Plateau

    M. Kopacz;Denise Leonore Mauzerall;J. Wang;E. M. Leibensperger

  • Variation in the urban vegetation, surface temperature, air temperature nexus.

    Sheri A. Shiflett;Liyin L. Liang;Liyin L. Liang;Steven M. Crum;Gudina L. Feyisa

  • Synthesis of satellite (MODIS), aircraft (ICARTT), and surface (IMPROVE, EPA-AQS, AERONET) aerosol observations over eastern North America to improve MODIS aerosol retrievals and constrain surface aerosol concentrations and sources

    Easan Drury;Easan Drury;Daniel James Jacob;Robert J. D. Spurr;Jun Wang

  • NCEP Climate Forecast System Reanalysis (CFSR) 6-hourly Products, January 1979 to December 2010

    Suranjana Saha;Shrinivas Moorthi;Hua-Lu Pan;Xingren Wu

  • Directional Polarimetric Camera (DPC): Monitoring aerosol spectral optical properties over land from satellite observation

    Zhengqiang Li;Weizhen Hou;Jin Hong;Fengxun Zheng

  • An overview of the Amazonian Aerosol Characterization Experiment 2008 (AMAZE-08)

    S. T. Martin;M. O. Andreae;D. Althausen;P. Artaxo

  • Mesoscale modeling of Central American smoke transport to the United States: 1. “Top-down” assessment of emission strength and diurnal variation impacts

    Jun Wang;Jun Wang;Sundar A. Christopher;U. S. Nair;Jeffrey S. Reid

  • Multidecadal trends in aerosol radiative forcing over the Arctic: Contribution of changes in anthropogenic aerosol to Arctic warming since 1980

    Thomas J. Breider;Loretta J. Mickley;Daniel J. Jacob;Cui Ge

  • Himawari-8-derived diurnal variations in ground-level PM 2.5 pollution across China using the fast space-time Light Gradient Boosting Machine (LightGBM)

    Jing Wei;Jing Wei;Jing Wei;Zhanqing Li;Rachel T. Pinker;Jun Wang

  • Unusually high soil nitrogen oxide emissions influence air quality in a high-temperature agricultural region

    P. Y. Oikawa;C. Ge;J. Wang;J. R. Eberwein

  • Advances in multiangle satellite remote sensing of speciated airborne particulate matter and association with adverse health effects: from MISR to MAIA

    David J. Diner;Stacey W. Boland;Michael Brauer;Carol Bruegge

  • Optimal estimation for global ground-level fine particulate matter concentrations

    Aaron van Donkelaar;Randall V. Martin;Randall V. Martin;Robert J. D. Spurr;Easan Drury

Frequent Co-Authors

Jeffrey S. Reid
Jeffrey S. Reid United States Naval Research Laboratory
Sundar A. Christopher
Sundar A. Christopher University of Alabama in Huntsville
Edward J. Hyer
Edward J. Hyer United States Naval Research Laboratory
Daniel J. Jacob
Daniel J. Jacob Harvard University
Daven K. Henze
Daven K. Henze University of Colorado Boulder
Charles Ichoku
Charles Ichoku Goddard Space Flight Center
Xiangao Xia
Xiangao Xia Chinese Academy of Sciences
Randall V. Martin
Randall V. Martin Washington University in St. Louis
Robert Spurr
Robert Spurr Harvard University
Nickolay A. Krotkov
Nickolay A. Krotkov Goddard Space Flight Center

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