World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
46
Citations
8350
World Ranking
6070
National Ranking
2200

Jianglong Zhang 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 Jianglong Zhang 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: 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 publications 690+

This scientist: 167 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.

Jianglong Zhang 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 Jianglong Zhang 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: 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.

Overview

Jianglong Zhang is affiliated with the University of North Dakota in the United States. Their research spans key areas in Environmental Science and Earth and Planetary Sciences, focusing primarily on Global and Planetary Change and Atmospheric Science as subfields. The scientist's work covers topics including atmospheric aerosols and clouds, atmospheric chemistry and aerosols, atmospheric ozone and climate, atmospheric and environmental gas dynamics, the impact of light on the environment and health, remote sensing in agriculture, and fire effects on ecosystems.

Several recent publications by Jianglong Zhang illustrate the scope of their research interests and collaborations. Notable papers include:

  • "Quantifying uncertainties in nighttime light retrievals from Suomi-NPP and NOAA-20 VIIRS Day/Night Band data" (2021, Remote Sensing of Environment)
  • "Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses - Part 1: Climatology and trend" (2022, Atmospheric Chemistry and Physics)
  • "Arctic spring and summertime aerosol optical depth baseline from long-term observations and model reanalyses - Part 2: Statistics of extreme AOD events, and implications for the impact of regional biomass burning processes" (2022, Atmospheric Chemistry and Physics)
  • "Multiple Angle Observations Would Benefit Visible Band Remote Sensing Using Night Lights" (2022, Journal of Geophysical Research Atmospheres)
  • "A Coupled Evaluation of Operational MODIS and Model Aerosol Products for Maritime Environments Using Sun Photometry: Evaluation of the Fine and Coarse Mode" (2022, Remote Sensing)

Jianglong Zhang frequently publishes in journals with a focus on atmospheric and environmental sciences. Common publication venues include:

  • Atmospheric Chemistry and Physics
  • Atmospheric Measurement Techniques
  • Remote Sensing
  • Journal of Atmospheric and Oceanic Technology
  • Journal of Geophysical Research Atmospheres

The scientist collaborates often with several researchers in their field. Frequent co-authors include:

  • Jeffrey S. Reid
  • James R. Campbell
  • Peng Xian
  • Blake Sorenson
  • Peter R. Colarco

The breadth of Jianglong Zhang's research emphasizes atmospheric aerosols, remote sensing technologies, and the dynamic processes of the Earth's atmosphere and environment. Their contributions engage with quantitative analyses, climatology, aerosol optical depth baselines, and remote sensing data interpretation related to both regional and global environmental phenomena.

Best Publications

  • A review of biomass burning emissions part III: intensive optical properties of biomass burning particles

    J. S. Reid;T. F. Eck;S. A. Christopher;R. Koppmann

  • 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

  • A decadal regional and global trend analysis of the aerosol optical depth using a data-assimilation grade over-water MODIS and Level 2 MISR aerosol products

    J. Zhang;J. S. Reid

  • 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

  • MODIS aerosol product analysis for data assimilation: Assessment of over‐ocean level 2 aerosol optical thickness retrievals

    Jianglong Zhang;Jianglong Zhang;Jeffrey S. Reid

  • A system for operational aerosol optical depth data assimilation over global oceans

    Jianglong Zhang;Jianglong Zhang;Jeffrey S. Reid;Douglas L. Westphal;Nancy L. Baker

  • An over-land aerosol optical depth data set for data assimilation by filtering, correction, and aggregation of MODIS Collection 5 optical depth retrievals

    E. J. Hyer;J. S. Reid;J. Zhang

  • An analysis of potential cloud artifacts in MODIS over ocean aerosol optical thickness products

    Jianglong Zhang;Jeffery S. Reid;Brent N. Holben

  • Longwave Radiative Forcing of Saharan Dust Aerosols Estimated from MODIS, MISR and CERES Observations on Terra

    Jianglong Zhang;Sundar A. Christopher

  • Maritime aerosol network as a component of AERONET - first results and comparison with global aerosol models and satellite retrievals

    A. Smirnov;B. N. Holben;D. M. Giles;I. Slutsker

  • An 11-year global gridded aerosol optical thickness reanalysis (v1.0) for atmospheric and climate sciences

    Peng Lynch;Jeffrey S. Reid;Douglas L. Westphal;Jianglong Zhang

  • An analysis of the collection 5 MODIS over-ocean aerosol optical depth product for its implication in aerosol assimilation

    Y. Shi;J. Zhang;J. S. Reid;B. Holben

  • Global and regional evaluation of over-land spectral aerosol optical depth retrievals from SeaWiFS

    A. M. Sayer;A. M. Sayer;N. C. Hsu;C. Bettenhausen;M.-J. Jeong

  • SeaWiFS Ocean Aerosol Retrieval (SOAR): Algorithm, validation, and comparison with other data sets

    A. M. Sayer;A. M. Sayer;N. C. Hsu;C. Bettenhausen;Z. Ahmad;Z. Ahmad

  • Shortwave Aerosol Radiative Forcing from MODIS and CERES observations over the oceans

    Sundar A. Christopher;Jianglong Zhang

  • Critical evaluation of the MODIS Deep Blue aerosol optical depth product for data assimilation over North Africa

    Y. Shi;J. Zhang;J. S. Reid;E. J. Hyer

  • Current state of the global operational aerosol multi-model ensemble: An update from the International Cooperative for Aerosol Prediction (ICAP).

    Peng Xian;Jeffrey S. Reid;Edward J. Hyer;Charles R. Sampson

  • Shortwave aerosol radiative forcing over cloud‐free oceans from Terra: 2. Seasonal and global distributions

    Jianglong Zhang;Jianglong Zhang;Jianglong Zhang;Sundar A. Christopher;Lorraine A. Remer;Yoram J. Kaufman

  • Quantifying uncertainties in nighttime light retrievals from Suomi-NPP and NOAA-20 VIIRS Day/Night Band data

    Zhuosen Wang;Zhuosen Wang;Miguel O. Román;Virginia L. Kalb;Steven D. Miller

  • A critical examination of spatial biases between MODIS and MISR aerosol products – application for potential AERONET deployment

    Y. Shi;J. Zhang;J. S. Reid;E. J. Hyer

  • Evaluating the impact of assimilating CALIOP-derived aerosol extinction profiles on a global mass transport model

    Jianglong Zhang;James R. Campbell;Jeffrey S. Reid;Douglas L. Westphal

Frequent Co-Authors

Jeffrey S. Reid
Jeffrey S. Reid United States Naval Research Laboratory
Edward J. Hyer
Edward J. Hyer United States Naval Research Laboratory
James R. Campbell
James R. Campbell United States Naval Research Laboratory
Douglas L. Westphal
Douglas L. Westphal United States Naval Research Laboratory
Sundar A. Christopher
Sundar A. Christopher University of Alabama in Huntsville
Brent N. Holben
Brent N. Holben Goddard Space Flight Center
Steven D. Miller
Steven D. Miller Colorado State University
Robert E. Holz
Robert E. Holz University of Wisconsin–Madison
Lorraine A. Remer
Lorraine A. Remer University of Maryland, Baltimore County
Mark A. Vaughan
Mark A. Vaughan Langley Research Center

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