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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Environmental Sciences 46 6157 5910 2228 2065 77 7191

Carey Jang publications per year

The chart shows the history of publications by Carey Jang between 1997 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Carey Jang published across 29 years, from 1997 to 2025, averaging 2.8 papers a year. Output peaked at 11 publications in 2019. 2 of the 81 publications appeared in the last two years.

No. of publications
2 4 6 8 10
Bar chart. Horizontal axis: year, 1997 to 2025. Vertical axis: number of publications, 0 to 11. Peak 11 publications in 2019. 1997: 1 publication 1998: 0 publications 1999: 0 publications 2000: 0 publications 2001: 0 publications 2002: 1 publication 2003: 0 publications 2004: 1 publication 2005: 2 publications 2006: 1 publication 2007: 5 publications 2008: 7 publications 2009: 3 publications 2010: 7 publications 2011: 7 publications 2012: 3 publications 2013: 0 publications 2014: 2 publications 2015: 6 publications 2016: 2 publications 2017: 5 publications 2018: 3 publications 2019: 11 publications 2020: 6 publications 2021: 3 publications 2022: 1 publication 2023: 2 publications 2024: 0 publications 2025: 2 publications
1997 2025

81 publications in total across all disciplines

View publications per year as a table
Carey Jang: publications per year, 1997 to 2025
Year Publications
1997 1
1998 0
1999 0
2000 0
2001 0
2002 1
2003 0
2004 1
2005 2
2006 1
2007 5
2008 7
2009 3
2010 7
2011 7
2012 3
2013 0
2014 2
2015 6
2016 2
2017 5
2018 3
2019 11
2020 6
2021 3
2022 1
2023 2
2024 0
2025 2
Total 81
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Carey Jang 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 Carey Jang 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, 71–80 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: 77 publications — 4th percentile

4% 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 77
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
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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Carey Jang 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 Carey Jang 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, 46 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: 46 D-Index — 39th percentile

39% 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 46
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
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

Carey Jang is affiliated with the Environmental Protection Agency in the United States. Their research primarily focuses on the fields of Environmental Science and Earth and Planetary Sciences, with notable contributions in Atmospheric Science, Health, Toxicology and Mutagenesis, Environmental Engineering, Automotive Engineering, and Renewable Energy, Sustainability and the Environment.

The scientist's work encompasses several main topics including Atmospheric chemistry and aerosols, Air Quality and Health Impacts, Air Quality Monitoring and Forecasting, Vehicle emissions and performance, Energy, Environment, and Transportation Policies, as well as Atmospheric Ozone and Climate.

Carey Jang has published research in various academic venues such as Geoscientific Model Development, Journal of Environmental Management, Atmospheric Research, Atmosphere, and Environmental Science Atmospheres.

  • The Detailed Emissions Scaling, Isolation, and Diagnostic (DESID) module in the Community Multiscale Air Quality (CMAQ) modeling system version 5.3.2, 2021, Geoscientific model development
  • Estimation of abatement potentials and costs of air pollution emissions in China, 2020, Journal of Environmental Management
  • Mimicking atmospheric photochemical modeling with a deep neural network, 2021, Atmospheric Research
  • Predicting the Nonlinear Response of PM2.5 and Ozone to Precursor Emission Changes with a Response Surface Model, 2021, Atmosphere
  • Evaluating reduced-form modeling tools for simulating ozone and PM 2.5 monetized health impacts, 2023, Environmental Science Atmospheres

The scientist has collaborated frequently with Jia Xing, Shuxiao Wang, Yun Zhu, James T. Kelly, and Benjamin N. Murphy. These co-authors have worked together on multiple projects reflecting interdisciplinary approaches and combinations of expertise.

Best Publications

  • Air quality during the 2008 Beijing Olympic Games

    David G. Streets;Joshua S. Fu;Carey J. Jang;Jiming Hao

  • NOx emission trends for China, 1995–2004: The view from the ground and the view from space

    Qiang Zhang;David G. Streets;Kebin He;Yuxuan Wang

  • Linking ozone pollution and climate change: The case for controlling methane

    Arlene M. Fiore;Daniel J. Jacob;Brendan D. Field;David G. Streets

  • Simulating chemistry–aerosol–cloud–radiation–climate feedbacks over the continental U.S. using the online-coupled Weather Research Forecasting Model with chemistry (WRF/Chem)

    Yang Zhang;X.-Y. Wen;C.J. Jang

  • Scientific uncertainties in atmospheric mercury models I: Model science evaluation

    Che-Jen Lin;Pruek Pongprueksa;Steve E. Lindberg;Steve E. Lindberg;Simo O. Pehkonen

  • Impact assessment of ammonia emissions on inorganic aerosols in East China using response surface modeling technique.

    Shuxiao Wang;Jia Xing;Carey Jang;Yun Zhu

  • Nonlinear response of ozone to precursor emission changes in China: a modeling study using response surface methodology

    J. Xing;S. X. Wang;C. Jang;Y. Zhu

  • Understanding of regional air pollution over China using CMAQ, part II. Process analysis and sensitivity of ozone and particulate matter to precursor emissions

    Xiao-Huan Liu;Xiao-Huan Liu;Yang Zhang;Jia Xing;Qiang Zhang

  • On the future of carbonaceous aerosol emissions

    D. G. Streets;T. C. Bond;T. Lee;C. Jang

  • Understanding of regional air pollution over China using CMAQ, part I performance evaluation and seasonal variation

    Xiao-Huan Liu;Xiao-Huan Liu;Yang Zhang;Shu-Hui Cheng;Shu-Hui Cheng;Jia Xing

  • The Environmental Benefits Mapping and Analysis Program – Community Edition (BenMAP–CE): A tool to estimate the health and economic benefits of reducing air pollution

    Jason D Sacks;Jennifer M Lloyd;Yun Zhu;Jim Anderton

  • Meteorological and chemical impacts on ozone formation: A case study in Hangzhou, China

    Kangwei Li;Kangwei Li;Linghong Chen;Fang Ying;Stephen J. White

  • Effectiveness of national air pollution control policies on the air quality in metropolitan areas of China.

    Shuxiao Wang;Jia Xing;Bin Zhao;Carey Jang

  • Air quality and emissions in the Yangtze River Delta, China

    L. Li;C. H. Chen;Joshua Fu;C. Huang

  • Process analysis of regional ozone formation over the Yangtze River Delta, China using the Community Multi-scale Air Quality modeling system

    L. Li;C. H. Chen;C. Huang;H. Y. Huang

  • Modeling study on the air quality impacts from emission reductions and atypical meteorological conditions during the 2008 Beijing Olympics

    Jia Xing;Jia Xing;Yang Zhang;Shuxiao Wang;Xiaohuan Liu

  • Model estimate of mercury emission from natural sources in East Asia

    Suraj K. Shetty;Che-Jen Lin;Che-Jen Lin;David G. Streets;Carey Jang

  • Deep learning for prediction of the air quality response to emission changes

    Jia Xing;Shuxin Zheng;Dian Ding;James T Kelly

  • Impacts of global, regional, and sectoral black carbon emission reductions on surface air quality and human mortality

    S. C. Anenberg;S. C. Anenberg;K. Talgo;S. Arunachalam;P. Dolwick

  • A modeling study of the nonlinear response of fine particles to air pollutant emissions in the Beijing-Tianjin-Hebei region

    Bin Zhao;Bin Zhao;Wenjing Wu;Shuxiao Wang;Jia Xing

  • Assessment of air quality benefits from national air pollution control policies in China. Part II: Evaluation of air quality predictions and air quality benefits assessment

    Litao Wang;Litao Wang;Carey Jang;Yang Zhang;Kai Wang

  • Effects of using the CB05 vs. SAPRC99 vs. CB4 chemical mechanism on model predictions : Ozone and gas-phase photochemical precursor concentrations

    D.J. Luecken;S. Phillips;G. Sarwar;C. Jang

Frequent Co-Authors

Shuxiao Wang
Shuxiao Wang Tsinghua University
Jia Xing
Jia Xing Tsinghua University
Che-Jen Lin
Che-Jen Lin Lamar University
Joshua S. Fu
Joshua S. Fu University of Tennessee at Knoxville
Jiming Hao
Jiming Hao Tsinghua University
David G. Streets
David G. Streets Harvard University
Qiang Zhang
Qiang Zhang Peking University
Qiang Zhang
Qiang Zhang Tsinghua University
Yang Zhang
Yang Zhang Northeastern University
Steve E. Lindberg
Steve E. Lindberg Oak Ridge National Laboratory

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