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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:

Estimating hourly and continuous ground-level PM2.5 concentrations using an ensemble learning algorithm: The ST-stacking model
Luwei Feng, Yiyan Li, Yumiao Wang, et al.
Atmospheric Environment (2019) Vol. 223, pp. 117242-117242
Closed Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

Alfalfa Yield Prediction Using UAV-Based Hyperspectral Imagery and Ensemble Learning
Luwei Feng, Zhou Zhang, Yuchi Ma, et al.
Remote Sensing (2020) Vol. 12, Iss. 12, pp. 2028-2028
Open Access | Times Cited: 196
Combining Multi-Source Data and Machine Learning Approaches to Predict Winter Wheat Yield in the Conterminous United States
Yumiao Wang, Zhou Zhang, Luwei Feng, et al.
Remote Sensing (2020) Vol. 12, Iss. 8, pp. 1232-1232
Open Access | Times Cited: 120
Assessment of Ensemble Learning to Predict Wheat Grain Yield Based on UAV-Multispectral Reflectance
Shuaipeng Fei, Muhammad Adeel Hassan, Zhonghu He, et al.
Remote Sensing (2021) Vol. 13, Iss. 12, pp. 2338-2338
Open Access | Times Cited: 63
Estimating hourly surface PM2.5 concentrations across China from high-density meteorological observations by machine learning
Zhaoliang Zeng, Ke Gui, Zemin Wang, et al.
Atmospheric Research (2021) Vol. 254, pp. 105516-105516
Closed Access | Times Cited: 56
Predicting individual apple tree yield using UAV multi-source remote sensing data and ensemble learning
Riqiang Chen, Chengjian Zhang, Bo Xu, et al.
Computers and Electronics in Agriculture (2022) Vol. 201, pp. 107275-107275
Closed Access | Times Cited: 55
Application of UAV Multisensor Data and Ensemble Approach for High-Throughput Estimation of Maize Phenotyping Traits
Meiyan Shu, Shuaipeng Fei, Bingyu Zhang, et al.
Plant Phenomics (2022) Vol. 2022
Open Access | Times Cited: 51
Flexible Bayesian Ensemble Machine Learning Framework for Predicting Local Ozone Concentrations
Xiang Ren, Zhongyuan Mi, Ting Cai, et al.
Environmental Science & Technology (2022) Vol. 56, Iss. 7, pp. 3871-3883
Open Access | Times Cited: 46
Improving soybean yield prediction by integrating UAV nadir and cross-circling oblique imaging
Guangyao Sun, Yong Zhang, Haochong Chen, et al.
European Journal of Agronomy (2024) Vol. 155, pp. 127134-127134
Closed Access | Times Cited: 8
Prediction of Highway Tunnel Pavement Performance Based on Digital Twin and Multiple Time Series Stacking
Gang Yu, Shuang Zhang, Min Hu, et al.
Advances in Civil Engineering (2020) Vol. 2020, Iss. 1
Open Access | Times Cited: 66
Application of machine learning and genetic optimization algorithms for modeling and optimizing soybean yield using its component traits
Mohsen Yoosefzadeh-Najafabadi, Dan Tulpan, Milad Eskandari
PLoS ONE (2021) Vol. 16, Iss. 4, pp. e0250665-e0250665
Open Access | Times Cited: 50
Machine Learning‐Based Model for Real‐Time GNSS Precipitable Water Vapor Sensing
Yuxin Zheng, Cuixian Lu, Zhilu Wu, et al.
Geophysical Research Letters (2022) Vol. 49, Iss. 3
Closed Access | Times Cited: 29
A Novel Fusion-Based Methodology for Drought Forecasting
Huihui Zhang, Hugo A. Loáiciga, Tobias Sauter
Remote Sensing (2024) Vol. 16, Iss. 5, pp. 828-828
Open Access | Times Cited: 6
Spatiotemporal relationship between Himawari-8 hourly columnar aerosol optical depth (AOD) and ground-level PM2.5 mass concentration in mainland China
Qiangqiang Xu, Xiaoling Chen, Shangbo Yang, et al.
The Science of The Total Environment (2020) Vol. 765, pp. 144241-144241
Closed Access | Times Cited: 42
A full-coverage estimation of PM2.5 concentrations using a hybrid XGBoost-WD model and WRF-simulated meteorological fields in the Yangtze River Delta Urban Agglomeration, China
Jiajia Wang, Li He, Xiaoman Lu, et al.
Environmental Research (2021) Vol. 203, pp. 111799-111799
Closed Access | Times Cited: 36
Cluster‐Enhanced Ensemble Learning for Mapping Global Monthly Surface Ozone From 2003 to 2019
Xiang Liu, Yijing Zhu, Lian Xue, et al.
Geophysical Research Letters (2022) Vol. 49, Iss. 11
Open Access | Times Cited: 27
Seasonal prediction of daily PM2.5 concentrations with interpretable machine learning: a case study of Beijing, China
Yafei Wu, Shaowu Lin, Kewei Shi, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 30, pp. 45821-45836
Closed Access | Times Cited: 24
An Improved MODIS NIR PWV Retrieval Algorithm Based on an Artificial Neural Network Considering the Land-Cover Types
Xiongwei Ma, Yibin Yao, Bao Zhang, et al.
IEEE Transactions on Geoscience and Remote Sensing (2022) Vol. 60, pp. 1-12
Closed Access | Times Cited: 24
Optimization research on air quality numerical model forecasting effects based on deep learning methods
Wei Wang, Xingqin An, Qingyong Li, et al.
Atmospheric Research (2022) Vol. 271, pp. 106082-106082
Closed Access | Times Cited: 23
Evolution of neural network to deep learning in prediction of air, water pollution and its Indian context
Basanti Pal Nandi, Gunjan Singh, Aakash Kumar Jain, et al.
International Journal of Environmental Science and Technology (2023) Vol. 21, Iss. 1, pp. 1021-1036
Open Access | Times Cited: 15
Global estimates of ambient NO2 concentrations and long-term health effects during 2000-2019
Wenwen Sun, Kuangyi Lu, Rui Li
Environmental Pollution (2024) Vol. 359, pp. 124562-124562
Closed Access | Times Cited: 5
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
Estimation of particulate matter concentrations in Türkiye using a random forest model based on satellite AOD retrievals
Gizem Tuna Tuygun, Tolga Elbir
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 9, pp. 3469-3491
Closed Access | Times Cited: 11
High-resolution estimation of PM2.5 concentrations across China using multiple machine learning approaches and model fusion
Lingtong Meng, Xiangqing Xu, Xiaona Huang, et al.
Atmospheric Pollution Research (2024) Vol. 15, Iss. 6, pp. 102110-102110
Closed Access | Times Cited: 4
Wheat Yield Robust Prediction in the Huang-Huai-Hai Plain by Coupling Multi-Source Data with Ensemble Model under Different Irrigation and Extreme Weather Events
Yanxi Zhao, Jiaoyang He, Xia Yao, et al.
Remote Sensing (2024) Vol. 16, Iss. 7, pp. 1259-1259
Open Access | Times Cited: 4
A spatiotemporal deep learning ensemble for multi-step PM2.5 prediction: A case study of Bangkok metropolitan region in Thailand
Veerasit Kaewbundit, Chaiyo Churngam, Papis Wongchaisuwat
Atmospheric Pollution Research (2025), pp. 102406-102406
Closed Access
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