World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
71
Citations
16046
World Ranking
1615
National Ranking
684

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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