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:

Verification, improvement and application of aerosol optical depths in China Part 1: Inter-comparison of NPP-VIIRS and Aqua-MODIS
Jing Wei, Lin Sun, Bo Huang, et al.
Atmospheric Environment (2017) Vol. 175, pp. 221-233
Closed Access | Times Cited: 86

Showing 1-25 of 86 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: 852

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: 483

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: 478

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: 362

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: 257

Long-term aerosol climatology over Indo-Gangetic Plain: Trend, prediction and potential source fields
Manish Kumar, Kulwinder Singh Parmar, Dudam Bharath Kumar, et al.
Atmospheric Environment (2018) Vol. 180, pp. 37-50
Closed Access | Times Cited: 204

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: 145

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: 108

Evaluation of MAIAC aerosol retrievals over China
Zhaoyang Zhang, Weiling Wu, Meng Fan, et al.
Atmospheric Environment (2019) Vol. 202, pp. 8-16
Closed Access | Times Cited: 106

Validation of Himawari-8 aerosol optical depth retrievals over China
Zhaoyang Zhang, Weiling Wu, Meng Fan, et al.
Atmospheric Environment (2018) Vol. 199, pp. 32-44
Closed Access | Times Cited: 101

Evaluation and comparison of MODIS Collection 6.1 aerosol optical depth against AERONET over regions in China with multifarious underlying surfaces
Yuan Wang, Qiangqiang Yuan, Tongwen Li, et al.
Atmospheric Environment (2018) Vol. 200, pp. 280-301
Open Access | Times Cited: 99

Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities
Sujan Ghimire, Ravinesh C. Deo, Nathan Downs, et al.
Remote Sensing of Environment (2018) Vol. 212, pp. 176-198
Closed Access | Times Cited: 86

Aerosol optical and radiative properties and their environmental effects in China: A review
Huizheng Che, Xiangao Xia, Hujia Zhao, et al.
Earth-Science Reviews (2023) Vol. 248, pp. 104634-104634
Open Access | Times Cited: 34

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

Spatiotemporal PM2.5 variations and its response to the industrial structure from 2000 to 2018 in the Beijing-Tianjin-Hebei region
Wenhao Xue, Jing Zhang, Chao Zhong, et al.
Journal of Cleaner Production (2020) Vol. 279, pp. 123742-123742
Closed Access | Times Cited: 70

Long-term validation of MODIS C6 and C6.1 Dark Target aerosol products over China using CARSNET and AERONET
Huizheng Che, Leiku Yang, Chao Liu, et al.
Chemosphere (2019) Vol. 236, pp. 124268-124268
Closed Access | Times Cited: 65

Fire Detection and Fire Radiative Power in Forests and Low-Biomass Lands in Northeast Asia: MODIS versus VIIRS Fire Products
Yuyun Fu, Rui Li, Xuewen Wang, et al.
Remote Sensing (2020) Vol. 12, Iss. 18, pp. 2870-2870
Open Access | Times Cited: 64

Satellite-derived spatiotemporal PM2.5 concentrations and variations from 2006 to 2017 in China
Wenhao Xue, Jing Zhang, Chao Zhong, et al.
The Science of The Total Environment (2019) Vol. 712, pp. 134577-134577
Closed Access | Times Cited: 63

MODIS Collection 6.1 3 km resolution aerosol optical depth product: global evaluation and uncertainty analysis
Jing Wei, Zhanqing Li, Lin Sun, et al.
Atmospheric Environment (2020) Vol. 240, pp. 117768-117768
Closed Access | Times Cited: 58

Predicting annual PM2.5 in mainland China from 2014 to 2020 using multi temporal satellite product: An improved deep learning approach with spatial generalization ability
Zhige Wang, Bifeng Hu, Bo Huang, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2022) Vol. 187, pp. 141-158
Closed Access | Times Cited: 35

A New MODIS C6 Dark Target and Deep Blue Merged Aerosol Product on a 3 km Spatial Grid
Muhammad Bilal, Zhongfeng Qiu, James R. Campbell, et al.
Remote Sensing (2018) Vol. 10, Iss. 3, pp. 463-463
Open Access | Times Cited: 57

Global Validation of MODIS C6 and C6.1 Merged Aerosol Products over Diverse Vegetated Surfaces
Muhammad Bilal, Majid Nazeer, Zhongfeng Qiu, et al.
Remote Sensing (2018) Vol. 10, Iss. 3, pp. 475-475
Open Access | Times Cited: 56

Evaluation of Terra-MODIS C6 and C6.1 Aerosol Products against Beijing, XiangHe, and Xinglong AERONET Sites in China during 2004-2014
Muhammad Bilal, Majid Nazeer, Janet E. Nichol, et al.
Remote Sensing (2019) Vol. 11, Iss. 5, pp. 486-486
Open Access | Times Cited: 54

An Improved High‐Spatial‐Resolution Aerosol Retrieval Algorithm for MODIS Images Over Land
Jing Wei, Lin Sun, Yiran Peng, et al.
Journal of Geophysical Research Atmospheres (2018) Vol. 123, Iss. 21
Closed Access | Times Cited: 49

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