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:

A review of statistical methods used for developing large-scale and long-term PM2.5 models from satellite data
Zongwei Ma, Sagnik Dey, Sundar Christopher, et al.
Remote Sensing of Environment (2021) Vol. 269, pp. 112827-112827
Open Access | Times Cited: 99

Showing 1-25 of 99 citing articles:

Ground-level gaseous pollutants (NO2, SO2, and CO) in China: daily seamless mapping and spatiotemporal variations
Jing Wei, Zhanqing Li, Jun Wang, et al.
Atmospheric chemistry and physics (2023) Vol. 23, Iss. 2, pp. 1511-1532
Open Access | Times Cited: 147

Deep learning for air pollutant concentration prediction: A review
Bo Zhang, Yi Rong, Ruihan Yong, et al.
Atmospheric Environment (2022) Vol. 290, pp. 119347-119347
Closed Access | Times Cited: 127

Global synthesis of two decades of research on improving PM2.5 estimation models from remote sensing and data science perspectives
Kaixu Bai, Ke Li, Yibing Sun, et al.
Earth-Science Reviews (2023) Vol. 241, pp. 104461-104461
Closed Access | Times Cited: 42

A review of machine learning for modeling air quality: Overlooked but important issues
Dié Tang, Yu Zhan, Fumo Yang
Atmospheric Research (2024) Vol. 300, pp. 107261-107261
Closed Access | Times Cited: 37

How the Air Clean Plan and carbon mitigation measures co-benefited China in PM2.5 reduction and health from 2014 to 2020
Zhige Wang, Bifeng Hu, Ce Zhang, et al.
Environment International (2022) Vol. 169, pp. 107510-107510
Open Access | Times Cited: 48

Global validation and hybrid calibration of CAMS and MERRA-2 PM2.5 reanalysis products based on OpenAQ platform
Caiyi Jin, Yuan Wang, Tongwen Li, et al.
Atmospheric Environment (2022) Vol. 274, pp. 118972-118972
Open Access | Times Cited: 40

Clarifying Relationship between PM2.5 Concentrations and Spatiotemporal Predictors Using Multi-Way Partial Dependence Plots
Haoze Shi, Naisen Yang, Xin Yang, et al.
Remote Sensing (2023) Vol. 15, Iss. 2, pp. 358-358
Open Access | Times Cited: 26

Impact of Agricultural Activities on Climate Change: A Review of Greenhouse Gas Emission Patterns in Field Crop Systems
Yingying Xing, Xiukang Wang
Plants (2024) Vol. 13, Iss. 16, pp. 2285-2285
Open Access | Times Cited: 11

Spatiotemporally continuous PM2.5 dataset in the Mekong River Basin from 2015 to 2022 using a stacking model
D. Y. Chen, Xingfa Gu, Hong Guo, et al.
The Science of The Total Environment (2024) Vol. 914, pp. 169801-169801
Closed Access | Times Cited: 8

Remote Sensing Application in Ecological Restoration Monitoring: A Systematic Review
Ruozeng Wang, Yonghua Sun, Jinkun Zong, et al.
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2204-2204
Open Access | Times Cited: 8

Data Augmentation Strategies for Improved PM2.5 Forecasting Using Transformer Architectures
Phoebe Pan, Anusha Srirenganathan Malarvizhi, Xianjun Hao
Atmosphere (2025) Vol. 16, Iss. 2, pp. 127-127
Open Access | Times Cited: 1

Spatiotemporally continuous estimates of daily 1-km PM2.5 concentrations and their long-term exposure in China from 2000 to 2020
Qingqing He, Tong Ye, Weihang Wang, et al.
Journal of Environmental Management (2023) Vol. 342, pp. 118145-118145
Closed Access | Times Cited: 21

Application of machine learning (individual vs stacking) models on MERRA-2 data to predict surface PM2.5 concentrations over India
Abisheg Dhandapani, Jawed Iqbal, R. Naresh Kumar
Chemosphere (2023) Vol. 340, pp. 139966-139966
Closed Access | Times Cited: 17

Time series retrieval of Multi-wavelength Aerosol optical depth by adapting Transformer (TMAT) using Himawari-8 AHI data
Lu She, Zhengqiang Li, Gerrit de Leeuw, et al.
Remote Sensing of Environment (2024) Vol. 305, pp. 114115-114115
Open Access | Times Cited: 6

Is model-estimated PM2.5 exposure equivalent to station-observed in mortality risk assessment? A literature review and meta-analysis
Wenhua Yu, Jiangning Song, Shanshan Li, et al.
Environmental Pollution (2024) Vol. 348, pp. 123852-123852
Open Access | Times Cited: 6

On the added value of satellite AOD for the investigation of ground-level PM2.5 variability
Jana Handschuh, Thilo Erbertseder, F. W. Baier
Atmospheric Environment (2024) Vol. 331, pp. 120601-120601
Open Access | Times Cited: 6

Insights into Global Visibility Patterns: Spatiotemporal Distributions Revealed by Satellite Remote Sensing
Junchen He, Wei Wang, Mingyang Fu, et al.
Journal of Cleaner Production (2024) Vol. 468, pp. 143069-143069
Closed Access | Times Cited: 6

Global aerosol retrieval over land from Landsat imagery integrating Transformer and Google Earth Engine
Jing Wei, Zhihui Wang, Zhanqing Li, et al.
Remote Sensing of Environment (2024) Vol. 315, pp. 114404-114404
Closed Access | Times Cited: 6

A review of datasets and methods for deriving spatiotemporal distributions of atmospheric CO2
Changpei He, Mingrui Ji, Michael L. Grieneisen, et al.
Journal of Environmental Management (2022) Vol. 322, pp. 116101-116101
Closed Access | Times Cited: 27

Machine Learning-Based Approach Using Open Data to Estimate PM2.5 over Europe
Saleem Ibrahim, Martin Landa, Ondřej Pešek, et al.
Remote Sensing (2022) Vol. 14, Iss. 14, pp. 3392-3392
Open Access | Times Cited: 23

Joint estimation of PM2.5 and O3 over China using a knowledge-informed neural network
Tongwen Li, Qianqian Yang, Yuan Wang, et al.
Geoscience Frontiers (2022) Vol. 14, Iss. 2, pp. 101499-101499
Open Access | Times Cited: 23

PM2.5 Estimation using Machine Learning Models and Satellite Data: A Literature Review
Mitra Unik, Imas Sukaesih Sitanggang, Lailan Syaufina, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 5
Open Access | Times Cited: 15

An extensive investigation on leveraging machine learning techniques for high-precision predictive modeling of CO 2 emission
Van Giao Nguyen, Xuan Quang Duong, Lan Huong Nguyen, et al.
Energy Sources Part A Recovery Utilization and Environmental Effects (2023) Vol. 45, Iss. 3, pp. 9149-9177
Closed Access | Times Cited: 15

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