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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:

High spatial resolution WRF-Chem model over Asia: Physics and chemistry evaluation
Pierre Sicard, Paola Crippa, Alessandra De Marco, et al.
Atmospheric Environment (2020) Vol. 244, pp. 118004-118004
Open Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

Evaluating the spatiotemporal ozone characteristics with high-resolution predictions in mainland China, 2013–2019
Xia Meng, Weidong Wang, Su Shi, et al.
Environmental Pollution (2022) Vol. 299, pp. 118865-118865
Open Access | Times Cited: 99
Application of XGBoost algorithm in the optimization of pollutant concentration
Jiangtao Li, Xingqin An, Qingyong Li, et al.
Atmospheric Research (2022) Vol. 276, pp. 106238-106238
Closed Access | Times Cited: 94
New insights into the Asian dust cycle derived from CALIPSO lidar measurements
Ying Han, Tianhe Wang, Jingyi Tang, et al.
Remote Sensing of Environment (2022) Vol. 272, pp. 112906-112906
Open Access | Times Cited: 78
A machine learning model to estimate ground-level ozone concentrations in California using TROPOMI data and high-resolution meteorology
Wenhao Wang, Xiong Liu, Jianzhao Bi, et al.
Environment International (2021) Vol. 158, pp. 106917-106917
Open Access | Times Cited: 69
Ozone modelling and mapping for risk assessment: An overview of different approaches for human and ecosystems health
Alessandra De Marco, Héctor García-Gómez, Alessio Collalti, et al.
Environmental Research (2022) Vol. 211, pp. 113048-113048
Closed Access | Times Cited: 60
Effect of ozone stress on crop productivity: A threat to food security
Ambikapathi Ramya, Periyasamy Dhevagi, Ramesh Poornima, et al.
Environmental Research (2023) Vol. 236, pp. 116816-116816
Closed Access | Times Cited: 27
Underappreciated Emission Spikes From Power Plants During Heatwaves Observed From Space: Case Studies in India and China
Song Liu, Lei Shu, Lei Zhu, et al.
Earth s Future (2024) Vol. 12, Iss. 2
Open Access | Times Cited: 9
Ground-level ozone estimation based on geo-intelligent machine learning by fusing in-situ observations, remote sensing data, and model simulation data
Jiajia Chen, Huanfeng Shen, Xinghua Li, et al.
International Journal of Applied Earth Observation and Geoinformation (2022) Vol. 112, pp. 102955-102955
Open Access | Times Cited: 20
First estimation of hourly full-coverage ground-level ozone from Fengyun-4A satellite using machine learning
Ling Gao, H. Zhang, Fukun Yang, et al.
Environmental Research Letters (2024) Vol. 19, Iss. 2, pp. 024040-024040
Open Access | Times Cited: 4
Evaluation of the WRF-Chem performance for the air pollutants over the United Arab Emirates
Yesobu Yarragunta, Diana Francis, Ricardo Fonseca, et al.
Atmospheric chemistry and physics (2025) Vol. 25, Iss. 3, pp. 1685-1709
Open Access
Forecasting particulate matter concentration in Shanghai using a small-scale long-term dataset
Andreu Salcedo-Bosch, Shaoping Li, Yuanjian Yang, et al.
Environmental Sciences Europe (2025) Vol. 37, Iss. 1
Open Access
A short-term prediction approach for air quality based on Triple cross-attention and self-loop normalized Graph Attention Network
Chaoli Tang, Yi Hu, Yuanyuan Wei, et al.
Earth Science Informatics (2025) Vol. 18, Iss. 2
Closed Access
Hybrid Machine Learning to Enhance PM2.5 Forecasting Performance by the WRF-Chem Model
Laddawan Noynoo, Perapong Tekasakul, Thanathip Limna, et al.
Atmospheric Pollution Research (2025), pp. 102558-102558
Closed Access
High spatial resolution ozone risk-assessment for Asian forests
Alessandra De Marco, Alessandro Anav, Pierre Sicard, et al.
Environmental Research Letters (2020) Vol. 15, Iss. 10, pp. 104095-104095
Open Access | Times Cited: 29
Urban residential energy switching in China between 1980 and 2014 prevents 2.2 million premature deaths
Wenxiao Zhang, Xiao Yun, Wenjun Meng, et al.
One Earth (2021) Vol. 4, Iss. 11, pp. 1602-1613
Open Access | Times Cited: 26
Improving air quality assessment using physics-inspired deep graph learning
Lianfa Li, Jinfeng Wang, Meredith Franklin, et al.
npj Climate and Atmospheric Science (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 9
Improving the Asian dust storm prediction using WRF-Chem through combinational optimization of physical parameterization schemes
Ji Won Yoon, Ebony Lee, Seon Ki Park
Atmospheric Environment (2024) Vol. 326, pp. 120461-120461
Open Access | Times Cited: 3
Impact of aerosol-radiation interaction and heterogeneous chemistry on the winter decreasing PM2.5 and increasing O3 in Eastern China 2014–2020
Yasong Li, Tijian Wang, Qin’geng Wang, et al.
Journal of Environmental Sciences (2024) Vol. 151, pp. 469-483
Closed Access | Times Cited: 3
Meteorological, chemical and biological evaluation of the coupled chemistry-climate WRF-Chem model from regional to urban scale. An impact-oriented application for human health
Alessandro Anav, Beatrice Sorrentino, Alessio Collalti, et al.
Environmental Research (2024) Vol. 257, pp. 119401-119401
Open Access | Times Cited: 3
Impact of transported dust aerosols on precipitation over the Nepal Himalayas using convection-permitting WRF-Chem simulation
Pramod Adhikari, John F. Mejía
Atmospheric Environment X (2022) Vol. 15, pp. 100179-100179
Open Access | Times Cited: 15
Aerosol–precipitation elevation dependence over the central Himalayas using cloud-resolving WRF-Chem numerical modeling
Pramod Adhikari, John F. Mejía
Atmospheric chemistry and physics (2023) Vol. 23, Iss. 2, pp. 1019-1042
Open Access | Times Cited: 8
Evaluation of the prediction performance of air quality numerical forecast models in Shenzhen
Chanfang Liu, Chengyu Wu, Xinyuan Kang, et al.
Atmospheric Environment (2023) Vol. 314, pp. 120058-120058
Closed Access | Times Cited: 8
A High-Performance Convolutional Neural Network for Ground-Level Ozone Estimation in Eastern China
Sichen Wang, Yanfeng Huo, Xidong Mu, et al.
Remote Sensing (2022) Vol. 14, Iss. 7, pp. 1640-1640
Open Access | Times Cited: 13
The influence of atmospheric blocking on regional PM10 aerosol transport to South Korea during February–March of 2019
Jae‐Hee Cho, Hak‐Sung Kim, Ma-Byong Yoon
Atmospheric Environment (2022) Vol. 277, pp. 119056-119056
Closed Access | Times Cited: 13
MSAFormer: A Transformer-Based Model for PM2.5 Prediction Leveraging Sparse Autoencoding of Multi-Site Meteorological Features in Urban Areas
Hongqing Wang, Lifu Zhang, Rong Wu
Atmosphere (2023) Vol. 14, Iss. 8, pp. 1294-1294
Open Access | Times Cited: 7
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