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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:

PM2.5 Concentration Prediction Model: A CNN–RF Ensemble Framework
Mei-Hsin Chen, Yao-Chung Chen, Tien‐Yin Chou, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 5, pp. 4077-4077
Open Access | Times Cited: 20

Showing 20 citing articles:

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
Long-Term Retrospective Predicted Concentration of PM2.5 in Upper Northern Thailand Using Machine Learning Models
Sawaeng Kawichai, Patumrat Sripan, Amaraporn Rerkasem, et al.
Toxics (2025) Vol. 13, Iss. 3, pp. 170-170
Open Access | Times Cited: 2
Apply a deep learning hybrid model optimized by an Improved Chimp Optimization Algorithm in PM2.5 prediction
Ming Wei, Xiaopeng Du
Machine Learning with Applications (2025), pp. 100624-100624
Open Access | Times Cited: 1
Trend-attribute forecasting of hourly PM2.5 trends in fifteen cities of Central England applying optimized machine learning feature selection
David A. Wood
Journal of Environmental Management (2024) Vol. 356, pp. 120561-120561
Closed Access | Times Cited: 8
A novel ensemble machine learning method for accurate air quality prediction
Murat Emeç, Mustafa Yurtsever
International Journal of Environmental Science and Technology (2024)
Closed Access | Times Cited: 7
Explainable deep learning hybrid modeling framework for total suspended particles concentrations prediction
Sujan Ghimire, Ravinesh C. Deo, Ningbo Jiang, et al.
Atmospheric Environment (2025), pp. 121079-121079
Closed Access
PM 2.5 Concentration 7-days Prediction in the Beijing-Tianjin-Hebei Region Using a Novel Stacking Framework
Xintong Gao, Xiaohong Wang, Fuping Li, et al.
Research Square (Research Square) (2025)
Closed Access
Nationwide Machine Learning-Ensemble PM2.5 Mapping Prediction and Forecasting Models in South Korea with High Spatiotemporal Resolution and Health Risk Estimation-Based Evaluations
Seoyeong Ahn, Ayoung Kim, Yeonseung Chung, et al.
Environment & Health (2025)
Open Access
Long-term Prediction Method for PM2.5 Concentration Using Edge Channel Graph Attention Network and Gating Closed-form Continuous-time Neural Networks
Chen Zhang, Xiaofan Li, Hongyang Sheng, et al.
Process Safety and Environmental Protection (2024) Vol. 189, pp. 356-373
Closed Access | Times Cited: 2
PM2.5 Concentration Estimation Using Bi-LSTM with Osprey Optimization Method
S. Saminathan, C. Malathy
Nature Environment and Pollution Technology (2024) Vol. 23, Iss. 3, pp. 1631-1638
Open Access | Times Cited: 2
Ensemble-based classification approach for PM2.5 concentration forecasting using meteorological data
S. Saminathan, C. Malathy
Frontiers in Big Data (2023) Vol. 6
Open Access | Times Cited: 5
High-Resolution Daily Spatiotemporal Distribution and Evaluation of Ground-Level Nitrogen Dioxide Concentration in the Beijing–Tianjin–Hebei Region Based on TROPOMI Data
Chunhui Liu, Sensen Wu, Zhen Dai, et al.
Remote Sensing (2023) Vol. 15, Iss. 15, pp. 3878-3878
Open Access | Times Cited: 5
Forecasting PM10 Caused by Bangkok’s Leading Greenhouse Gas Emission Using the SARIMA and SARIMA-GARCH Model
Tanattrin Bunnag
International Journal of Energy Economics and Policy (2024) Vol. 14, Iss. 1, pp. 418-426
Open Access | Times Cited: 1
Predicting PM2.5 concentration with enhanced state–trend awareness and uncertainty analysis using bagging and LSTM neural networks
Bian Chao, Guangqiu Huang
Journal of Environmental Quality (2024) Vol. 53, Iss. 4, pp. 441-455
Closed Access
Spatiotemporal characteristics of PM2.5 concentrations and responses to land-use change in Urumqi, China
Zifan Rong, Nurmemet Erkin, Junqian Ma, et al.
Journal of Applied Remote Sensing (2024) Vol. 18, Iss. 03
Closed Access
A Hybrid Time Series Model for the Spatio-Temporal Analysis of Air Pollution Prediction Based on $$\textrm{PM}_{2.5}$$
Naushad Ahmad, Vipin Kumar
Communications in computer and information science (2024), pp. 62-81
Closed Access
Novel spatio-temporal attention causal convolutional neural network for multi-site PM2.5 prediction
Yong Wang, Shuang Tian, P. Zhang
Frontiers in Environmental Science (2024) Vol. 12
Open Access
The Role of Machine Learning in Enhancing Particulate Matter Estimation: A Systematic Literature Review
Amjad Alkhodaidi, Afraa Attiah, Alaa Mhawish, et al.
Technologies (2024) Vol. 12, Iss. 10, pp. 198-198
Open Access
Multiresolution Analysis of HRRR Meteorological Parameters and GOES-R AOD for Hourly PM2.5 Prediction
Dimple Pruthi, Qingyang Zhu, Wenhao Wang, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 45, pp. 20040-20048
Open Access
A PM2.5 Concentration Prediction in High-Cost and Low-Cost Wireless Sensor Networks Using Neural Networks
Marko Marković, Đorđe Nešković, Lara Kašca, et al.
2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS) (2023), pp. 151-154
Closed Access
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