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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:

Predicting PM2.5 atmospheric air pollution using deep learning with meteorological data and ground-based observations and remote-sensing satellite big data
Pratyush Muthukumar, Emmanuel Cocom, Kabir Nagrecha, et al.
Air Quality Atmosphere & Health (2021) Vol. 15, Iss. 7, pp. 1221-1234
Open Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

The nexus between access to energy, poverty reduction and PM2.5 in Sub-Saharan Africa: New evidence from the generalized method of moments estimators
Emrah Koçak, Bekir ÇELİK
The Science of The Total Environment (2022) Vol. 827, pp. 154377-154377
Closed Access | Times Cited: 43
72-hour real-time forecasting of ambient PM2.5 by hybrid graph deep neural network with aggregated neighborhood spatiotemporal information
Mengfan Teng, Siwei Li, Jia Xing, et al.
Environment International (2023) Vol. 176, pp. 107971-107971
Open Access | Times Cited: 23
Supervised Machine Learning Approaches for Predicting Key Pollutants and for the Sustainable Enhancement of Urban Air Quality: A Systematic Review
Ismail Essamlali, Hasna Nhaila, Mohamed El Khaïli
Sustainability (2024) Vol. 16, Iss. 3, pp. 976-976
Open Access | Times Cited: 10
An advanced deep learning predictive model for air quality index forecasting with remote satellite-derived hydro-climatological variables
A. A. Masrur Ahmed, S. Janifer Jabin Jui, Ekta Sharma, et al.
The Science of The Total Environment (2023) Vol. 906, pp. 167234-167234
Closed Access | Times Cited: 22
PM2.5 Air Pollution Prediction through Deep Learning Using Multisource Meteorological, Wildfire, and Heat Data
Pratyush Muthukumar, Kabir Nagrecha, Dawn Comer, et al.
Atmosphere (2022) Vol. 13, Iss. 5, pp. 822-822
Open Access | Times Cited: 22
Forecasting PM 2.5 concentration based on integrating of CEEMDAN decomposition method with SVM and LSTM
Rasoul Ameri, Chung-Chian Hsu, Shahab S. Band, et al.
Ecotoxicology and Environmental Safety (2023) Vol. 266, pp. 115572-115572
Open Access | Times Cited: 12
Research on the Fusion of PWV over the Beijing-Tianjin-Hebei Region Based on ERA5 PWV and FY-4A PWV
Wei Du, Yong Wang, Xiaoni Meng, et al.
Advances in Space Research (2025)
Closed Access
A deep dive into delhi's air pollution: forecasting $${\varvec{P}}{{\varvec{M}}}_{2.5}$$ levels using a Bi-LSTM-GRU hybrid model
Shubham Ranjan, Sunil Kumar Singh
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
Spatiotemporal PM2.5 forecasting via dynamic geographical Graph Neural Network
Qin Zhao, Jiajun Liu, Xinwen Yang, et al.
Environmental Modelling & Software (2025) Vol. 186, pp. 106351-106351
Closed Access
Modeling PM2.5 urbane pollution using hybrid models incorporating decomposition and multiple factors
Somayeh Mirzaei, Ting Liao, Chin-Yu Hsu
Urban Climate (2025) Vol. 60, pp. 102338-102338
Closed Access
PM2.5 Concentration Prediction in the Beijing–Tianjin–Hebei Region Based on ERA5 Stratified PWV and Atmospheric Pollutants
Jun Shang, Peixuan Zhang, Yong Wang, et al.
Atmosphere (2025) Vol. 16, Iss. 3, pp. 269-269
Open Access
Meteorology Driven Air Quality Prediction
Sharvari Joshi, Aayush Parikh, R. Gandhi, et al.
Lecture notes in networks and systems (2025), pp. 15-26
Closed Access
Optimizing air pollution sensing for social and environmental justice
Yue Lin, Caitlin Robinson, Qian Fang Yeap, et al.
Applied Geography (2025) Vol. 178, pp. 103606-103606
Open Access
Assessing particulate matter (PM2.5) concentrations and variability across Maharashtra using satellite data and machine learning techniques
Ganesh Machhindra Kunjir, Suvarna Tikle, Sandipan Das, et al.
Discover Sustainability (2025) Vol. 6, Iss. 1
Open Access
Spatial variability of diurnal temperature range and its associations with local climate zone, neighborhood environment and mortality in Los Angeles
Shengjie Liu, An-Min Wu, Hung Chak Ho
Urban Climate (2023) Vol. 49, pp. 101526-101526
Closed Access | Times Cited: 10
Adaptive scalable spatio-temporal graph convolutional network for PM2.5 prediction
Qingjian Ni, Yuhui Wang, Jiayi Yuan
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107080-107080
Closed Access | Times Cited: 9
A Multi-UAV cooperative mission planning method based on SA-WOA algorithm for three-dimensional space atmospheric environment detection
Binggang Yu, Shurui Fan, Weijia Cui, et al.
Robotica (2024) Vol. 42, Iss. 7, pp. 2243-2280
Closed Access | Times Cited: 3
Analysis and Prediction of Atmospheric Environmental Quality Based on the Autoregressive Integrated Moving Average Model (ARIMA Model) in Hunan Province, China
Wenyuan Gao, Tongjue Xiao, Lin Zou, et al.
Sustainability (2024) Vol. 16, Iss. 19, pp. 8471-8471
Open Access | Times Cited: 3
AQE-Net: A Deep Learning Model for Estimating Air Quality of Karachi City from Mobile Images
Maqsood Ahmed, Yonglin Shen, Mansoor Ahmed, et al.
Remote Sensing (2022) Vol. 14, Iss. 22, pp. 5732-5732
Open Access | Times Cited: 14
Do Environmental Regulation and Foreign Direct Investment Drive Regional Air Pollution in China?
Qianqian Wu, Rong Wang
Sustainability (2023) Vol. 15, Iss. 2, pp. 1567-1567
Open Access | Times Cited: 9
Towards cleaner air in Siliguri: A comprehensive study of PM2.5 and PM10 through advance computational forecasting models for effective environmental interventions
Arghadeep Bose, Indrajit Roy Chowdhury
Atmospheric Pollution Research (2023) Vol. 15, Iss. 2, pp. 101976-101976
Closed Access | Times Cited: 9
High-spatiotemporal-resolution PM2.5 forecasting by hybrid deep learning models with ensembled massive heterogeneous monitoring data
Kuan-Yen Wu, I-Wen Hsia, Pu-Yun Kow, et al.
Journal of Cleaner Production (2023) Vol. 433, pp. 139825-139825
Closed Access | Times Cited: 8
AgriSen-COG, a Multicountry, Multitemporal Large-Scale Sentinel-2 Benchmark Dataset for Crop Mapping Using Deep Learning
Teodora Selea
Remote Sensing (2023) Vol. 15, Iss. 12, pp. 2980-2980
Open Access | Times Cited: 7
Day-Ahead Hourly Solar Irradiance Forecasting Based on Multi-Attributed Spatio-Temporal Graph Convolutional Network
Hyeon-Ju Jeon, Min-Woo Choi, O‐Joun Lee
Sensors (2022) Vol. 22, Iss. 19, pp. 7179-7179
Open Access | Times Cited: 12
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