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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

MODIS Collection 6.1 aerosol optical depth products over land and ocean: validation and comparison
Jing Wei, Zhanqing Li, Yiran Peng, et al.
Atmospheric Environment (2018) Vol. 201, pp. 428-440
Open Access | Times Cited: 356

Showing 1-25 of 356 citing articles:

Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications
Jing Wei, Zhanqing Li, Alexei Lyapustin, et al.
Remote Sensing of Environment (2020) Vol. 252, pp. 112136-112136
Closed Access | Times Cited: 819
Estimating 1-km-resolution PM2.5 concentrations across China using the space-time random forest approach
Jing Wei, Wei Huang, Zhanqing Li, et al.
Remote Sensing of Environment (2019) Vol. 231, pp. 111221-111221
Open Access | Times Cited: 477
Improved 1 km resolution PM2.5 estimates across China using enhanced space–time extremely randomized trees
Jing Wei, Zhanqing Li, Maureen Cribb, et al.
Atmospheric chemistry and physics (2020) Vol. 20, Iss. 6, pp. 3273-3289
Open Access | Times Cited: 473
The ChinaHighPM10 dataset: generation, validation, and spatiotemporal variations from 2015 to 2019 across China
Jing Wei, Zhanqing Li, Wenhao Xue, et al.
Environment International (2020) Vol. 146, pp. 106290-106290
Open Access | Times Cited: 289
Satellite-Derived 1-km-Resolution PM1 Concentrations from 2014 to 2018 across China
Jing Wei, Zhanqing Li, Jianping Guo, et al.
Environmental Science & Technology (2019) Vol. 53, Iss. 22, pp. 13265-13274
Closed Access | Times Cited: 251
Merging regional and global aerosol optical depth records from major available satellite products
Larisa Sogacheva, Thomas Popp, A. M. Sayer, et al.
Atmospheric chemistry and physics (2020) Vol. 20, Iss. 4, pp. 2031-2056
Open Access | Times Cited: 179
Himawari-8-derived diurnal variations in ground-level PM<sub>2.5</sub> pollution across China using the fast space-time Light Gradient Boosting Machine (LightGBM)
Jing Wei, Zhanqing Li, R. T. Pinker, et al.
Atmospheric chemistry and physics (2021) Vol. 21, Iss. 10, pp. 7863-7880
Open Access | Times Cited: 154
ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set
Antonis Gkikas, Emmanouil Proestakis, Vassilis Amiridis, et al.
Atmospheric measurement techniques (2021) Vol. 14, Iss. 1, pp. 309-334
Open Access | Times Cited: 108
LGHAP: the Long-term Gap-free High-resolution Air Pollutant concentration dataset, derived via tensor-flow-based multimodal data fusion
Kaixu Bai, Ke Li, Mingliang Ma, et al.
Earth system science data (2022) Vol. 14, Iss. 2, pp. 907-927
Open Access | Times Cited: 95
Dynamic assessment of PM2.5 exposure and health risk using remote sensing and geo-spatial big data
Yimeng Song, Bo Huang, Qingqing He, et al.
Environmental Pollution (2019) Vol. 253, pp. 288-296
Closed Access | Times Cited: 142
Satellite remote sensing of aerosol optical depth: advances, challenges, and perspectives
Xiaoli Wei, Ni‐Bin Chang, Kaixu Bai, et al.
Critical Reviews in Environmental Science and Technology (2019) Vol. 50, Iss. 16, pp. 1640-1725
Closed Access | Times Cited: 142
Intercomparison in spatial distributions and temporal trends derived from multi-source satellite aerosol products
Jing Wei, Yiran Peng, Rashed Mahmood, et al.
Atmospheric chemistry and physics (2019) Vol. 19, Iss. 10, pp. 7183-7207
Open Access | Times Cited: 113
Performance of MODIS Collection 6.1 Level 3 aerosol products in spatial-temporal variations over land
Jing Wei, Yiran Peng, Jianping Guo, et al.
Atmospheric Environment (2019) Vol. 206, pp. 30-44
Open Access | Times Cited: 106
The Dark Target Algorithm for Observing the Global Aerosol System: Past, Present, and Future
L. A. Remer, R. C. Levy, S. Mattoo, et al.
Remote Sensing (2020) Vol. 12, Iss. 18, pp. 2900-2900
Open Access | Times Cited: 98
Google Earth Engine based spatio-temporal analysis of air pollutants before and during the first wave COVID-19 outbreak over Turkey via remote sensing
Fatemeh Ghasempour, Aliihsan Şekertekin, Şenol Hakan Kutoğlu
Journal of Cleaner Production (2021) Vol. 319, pp. 128599-128599
Open Access | Times Cited: 90
The Impact of the Direct Effect of Aerosols on Meteorology and Air Quality Using Aerosol Optical Depth Assimilation During the KORUS‐AQ Campaign
Jia Jung, Amir H. Souri, David C. Wong, et al.
Journal of Geophysical Research Atmospheres (2019) Vol. 124, Iss. 14, pp. 8303-8319
Open Access | Times Cited: 88
Evaluation and uncertainty estimate of next-generation geostationary meteorological Himawari-8/AHI aerosol products
Jing Wei, Zhanqing Li, Lin Sun, et al.
The Science of The Total Environment (2019) Vol. 692, pp. 879-891
Open Access | Times Cited: 76
Cloud Detection for Satellite Imagery Using Attention-Based U-Net Convolutional Neural Network
Yanan Guo, Xiaoqun Cao, Bainian Liu, et al.
Symmetry (2020) Vol. 12, Iss. 6, pp. 1056-1056
Open Access | Times Cited: 76
Effects of atmospheric aerosols on terrestrial carbon fluxes and CO2 concentrations in China
Xiaodong Xie, Tijian Wang, Xu Yue, et al.
Atmospheric Research (2020) Vol. 237, pp. 104859-104859
Open Access | Times Cited: 70
Atmospheric Dynamics and Numerical Simulations of Six Frontal Dust Storms in the Middle East Region
Nasim Hossein Hamzeh‎, Sara Karami, Dimitris G. Kaskaoutis, et al.
Atmosphere (2021) Vol. 12, Iss. 1, pp. 125-125
Open Access | Times Cited: 64
Validation and comparison of high-resolution MAIAC aerosol products over Central Asia
Xiangyue Chen, Jianli Ding, Jie Liu, et al.
Atmospheric Environment (2021) Vol. 251, pp. 118273-118273
Open Access | Times Cited: 64
Long-term trends in Aerosol Optical Depth obtained across the globe using multi-satellite measurements
Gopika Gupta, M. Venkat Ratnam, B.L. Madhavan, et al.
Atmospheric Environment (2022) Vol. 273, pp. 118953-118953
Open Access | Times Cited: 47
Long-term three-dimensional distribution and transport of Saharan dust: Observation from CALIPSO, MODIS, and reanalysis data
Abou Bakr Merdji, Chunsong Lu, Xiaofeng Xu, et al.
Atmospheric Research (2023) Vol. 286, pp. 106658-106658
Open Access | Times Cited: 24
Mineral dust optical properties for remote sensing and global modeling: A review
Patricia Castellanos, Peter R. Colarco, R. Espinosa, et al.
Remote Sensing of Environment (2024) Vol. 303, pp. 113982-113982
Open Access | Times Cited: 14
Climate-specific and global validation of MODIS Aqua and Terra aerosol optical depth at 452 AERONET stations
Jamie M. Bright, Christian A. Gueymard
Solar Energy (2019) Vol. 183, pp. 594-605
Closed Access | Times Cited: 73
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