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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:

Prediction of Monthly PM2.5 Concentration in Liaocheng in China Employing Artificial Neural Network
Zhenfang He, Qingchun Guo, Zhaosheng Wang, et al.
Atmosphere (2022) Vol. 13, Iss. 8, pp. 1221-1221
Open Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Predicting of Daily PM2.5 Concentration Employing Wavelet Artificial Neural Networks Based on Meteorological Elements in Shanghai, China
Qingchun Guo, Zhenfang He, Zhaosheng Wang
Toxics (2023) Vol. 11, Iss. 1, pp. 51-51
Open Access | Times Cited: 59
Simulating daily PM2.5 concentrations using wavelet analysis and artificial neural network with remote sensing and surface observation data
Qingchun Guo, Zhenfang He, Zhaosheng Wang
Chemosphere (2023) Vol. 340, pp. 139886-139886
Closed Access | Times Cited: 43
Monthly climate prediction using deep convolutional neural network and long short-term memory
Qingchun Guo, Zhenfang He, Zhaosheng Wang
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 25
The Characteristics of Air Quality Changes in Hohhot City in China and their Relationship with Meteorological and Socio-economic Factors
Qingchun Guo, Zhenfang He, Zhaosheng Wang
Aerosol and Air Quality Research (2024) Vol. 24, Iss. 5, pp. 230274-230274
Open Access | Times Cited: 19
Application of the Lasso regularisation technique in mitigating overfitting in air quality prediction models
Abbas Pak, Abdullah Kaviani Rad, Mohammad Javad Nematollahi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Simulation and prediction of PM2.5 concentrations and analysis of driving factors using interpretable tree-based models in Shanghai, China
Wei Qing, Yongqi Chen, Huijin Zhang, et al.
Environmental Research (2025), pp. 121003-121003
Closed Access | Times Cited: 2
Assessing the effectiveness of long short-term memory and artificial neural network in predicting daily ozone concentrations in Liaocheng City
Qingchun Guo, Zhenfang He, Zhaosheng Wang
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Change in Air Quality during 2014–2021 in Jinan City in China and Its Influencing Factors
Qingchun Guo, Zhenfang He, Zhaosheng Wang
Toxics (2023) Vol. 11, Iss. 3, pp. 210-210
Open Access | Times Cited: 33
A Performance Comparison Study on Climate Prediction in Weifang City Using Different Deep Learning Models
Qingchun Guo, Zhenfang He, Zhaosheng Wang, et al.
Water (2024) Vol. 16, Iss. 19, pp. 2870-2870
Open Access | Times Cited: 10
Prediction of monthly average and extreme atmospheric temperatures in Zhengzhou based on artificial neural network and deep learning models
Qingchun Guo, Zhenfang He, Zhaosheng Wang
Frontiers in Forests and Global Change (2023) Vol. 6
Open Access | Times Cited: 22
Long-term projection of future climate change over the twenty-first century in the Sahara region in Africa under four Shared Socio-Economic Pathways scenarios
Qingchun Guo, Zhenfang He, Zhaosheng Wang
Environmental Science and Pollution Research (2022) Vol. 30, Iss. 9, pp. 22319-22329
Closed Access | Times Cited: 23
Machine learning insights into PM2.5 changes during COVID-19 lockdown: LSTM and RF analysis in Mashhad
Seyed Mohammad Mahdi Moezzi, Mitra Mohammadi, Mandana Mohammadi, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 5
Closed Access | Times Cited: 5
Integrating machine learning techniques for Air Quality Index forecasting and insights from pollutant-meteorological dynamics in sustainable urban environments
K. Karthick, Aruna S.K., R. Dharmaprakash, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 4, pp. 3733-3748
Closed Access | Times Cited: 5
Smart electronic device for air quality and exposure risk assessment
Jacob Mbarndouka Taamté, Yvette Flore Tchuente Siaka, Nasser Nducol, et al.
Smart Science (2025), pp. 1-15
Closed Access
Optimizing the Architecture of a Quantum–Classical Hybrid Machine Learning Model for Forecasting Ozone Concentrations: Air Quality Management Tool for Houston, Texas
Victor Oliveira Santos, Paulo Alexandre Costa Rocha, Jesse Van Griensven Thé, et al.
Atmosphere (2025) Vol. 16, Iss. 3, pp. 255-255
Open Access
PM2.5 concentration prediction using a whale optimization algorithm based hybrid deep learning model in Beijing, China
Wei Qing, Huijin Zhang, Ju Yang, et al.
Environmental Pollution (2025) Vol. 371, pp. 125953-125953
Closed Access
Prediction of Crystalline Structure Evolution During Solidification of Aluminum at Different Cooling Rates Using a Hybrid Neural Network Model
Rafi Bin Dastagir, Saptaparni Chanda, Farsia Kawsar Chowdhury, et al.
Results in Engineering (2025), pp. 104578-104578
Open Access
Forecasting the concentration of the components of the particulate matter in Poland using neural networks
Jarosław Bernacki
Environmental Science and Pollution Research (2025)
Closed Access
A machine learning computational approach for the mathematical anthrax disease system in animals
Zulqurnain Sabir, Eman Simbawa
PLoS ONE (2025) Vol. 20, Iss. 4, pp. e0320327-e0320327
Open Access
Impact of atmospheric aerosols on air quality of three most polluted cities of Uttar Pradesh, India
K. K. SINGH, Jaswant Singh, Suresh Kumar
Journal of Atmospheric and Solar-Terrestrial Physics (2025), pp. 106516-106516
Closed Access
Performance Evaluation of PM2.5 Forecasting Using SARIMAX and LSTM in the Korean Peninsula
Chae-Yeon Lee, Ju-Yong Lee, Seunghee Han, et al.
Atmosphere (2025) Vol. 16, Iss. 5, pp. 524-524
Open Access
Prediction of nitrous oxide emission of a municipal wastewater treatment plant using LSTM-based deep learning models
Xiaozhen Xu, Anlei Wei, Songjun Tang, et al.
Environmental Science and Pollution Research (2023) Vol. 31, Iss. 2, pp. 2167-2186
Closed Access | Times Cited: 10
Characterization of spatial-temporal distribution and microenvironment source contribution of PM2.5 concentrations using a low-cost sensor network with artificial neural network/kriging techniques
Yi-Ming Lee, Guan-Yu Lin, Thi-Cuc Le, et al.
Environmental Research (2023) Vol. 244, pp. 117906-117906
Closed Access | Times Cited: 10
Hourly PM2.5 Concentration Prediction Based on Empirical Mode Decomposition and Geographically Weighted Neural Network
Yan Chen, Chunchun Hu
ISPRS International Journal of Geo-Information (2024) Vol. 13, Iss. 3, pp. 79-79
Open Access | Times Cited: 3
Explainable geospatial-artificial intelligence models for the estimation of PM2.5 concentration variation during commuting rush hours in Taiwan
Pei-Yi Wong, Huey‐Jen Su, Shih‐Chun Candice Lung, et al.
Environmental Pollution (2024) Vol. 349, pp. 123974-123974
Closed Access | Times Cited: 3
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