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 the ground-level pollutants concentrations and identifying the influencing factors using machine learning, wavelet transformation, and remote sensing techniques
Zohre Ebrahimi‐Khusfi, Ruhollah Taghizadeh‐Mehrjardi, Mohamad Kazemi, et al.
Atmospheric Pollution Research (2021) Vol. 12, Iss. 5, pp. 101064-101064
Closed Access | Times Cited: 15

Showing 15 citing articles:

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: 42

Prediction of heavy metals in airborne fine particulate matter using magnetic parameters by machine learning from a metropolitan city in China
Hui Xiao, Xiang’zi Leng, Xin Qian, et al.
Atmospheric Pollution Research (2022) Vol. 13, Iss. 3, pp. 101347-101347
Closed Access | Times Cited: 19

Wavelets in Combination with Stochastic and Machine Learning Models to Predict Agricultural Prices
Sandip Garai, Ranjit Kumar Paul, Debopam Rakshit, et al.
Mathematics (2023) Vol. 11, Iss. 13, pp. 2896-2896
Open Access | Times Cited: 12

A Hybrid Wavelet-Based Deep Learning Model for Accurate Prediction of Daily Surface PM2.5 Concentrations in Guangzhou City
Zhenfang He, Qingchun Guo, Zhaosheng Wang, et al.
Toxics (2025) Vol. 13, Iss. 4, pp. 254-254
Open Access

Impact from the evolution of private vehicle fleet composition on traffic related emissions in the small-medium automotive city
Xuelin Tian, Guohe Huang, Ziyang Song, et al.
The Science of The Total Environment (2022) Vol. 840, pp. 156657-156657
Closed Access | Times Cited: 17

PM2.5 prediction based on modified whale optimization algorithm and support vector regression
Zuhan Liu, Xin Huang, Xing Wang
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2

Particulate Matter Forecasting Using Different Deep Neural Network Topologies and Wavelets for Feature Augmentation
Stephanie Lima Jorge Galvão, Júnia Cristina Ortiz Matos, Yasmin Kaore Lago Kitagawa, et al.
Atmosphere (2022) Vol. 13, Iss. 9, pp. 1451-1451
Open Access | Times Cited: 10

Soil Moisture Monitoring and Evaluation in Agricultural Fields Based on NDVI Long Time Series and CEEMDAN
Xuqing Li, Xiaodan Wang, Jian Wu, et al.
Remote Sensing (2023) Vol. 15, Iss. 20, pp. 5008-5008
Open Access | Times Cited: 5

A Wide Scale Survey on Weather Prediction Using Machine Learning Techniques
Shabnam Kumari, P. Muthulakshmi
Journal of Information & Knowledge Management (2022) Vol. 22, Iss. 05
Closed Access | Times Cited: 3

Using multivariate adaptive regression splines and extremely randomized trees algorithms to predict dust events frequency around an international wetland and prioritize its drivers
Zohre Ebrahimi‐Khusfi, Ali Reza Nafarzadegan, Mohammad Khosroshahi
Environmental Monitoring and Assessment (2021) Vol. 193, Iss. 7
Closed Access | Times Cited: 4

Hybrid extreme learning machine optimized bat algorithm based on ensemble empirical mode decomposition for modeling dissolved oxygen in river
Salim Heddam, Sungwon Kim, Ahmed Elbeltagi, et al.
Current directions in water scarcity research (2022), pp. 447-466
Closed Access | Times Cited: 2

Using open data to reveal factors of urban susceptibility to natural hazards and man-made hazards: case of Milan and Sofia
Alberto Vavassori, Angelly de Jesus Pugliese Viloria, Maria Antonia Brovelli
GeoScape (2022) Vol. 16, Iss. 2, pp. 93-107
Open Access | Times Cited: 1

Application of Discrete Wavelet Transform and Tree-Based Ensemble Machine Learning for Modeling of Particulate Matter Concentrations
Maya Stoimenova-Minova, Snezhana Gocheva-Ilieva, Atanas Ivanov
Springer proceedings in mathematics & statistics (2023), pp. 171-183
Closed Access

An interpretable prediction of FCM driven by small samples for energy analysis based on air quality prediction
Zhen Peng, Caixiao Zhang, Boyang Cao, et al.
Journal of the Air & Waste Management Association (2022) Vol. 72, Iss. 9, pp. 985-999
Closed Access

A DEEP LEARNING APPROACH WITH WAVELETS TO FORECASTING TROPOSPHERIC OZONE IN A TROPICAL METROPOLITAN REGION
Clovis Carmo, Ingrid Winkler, Erick Giovani Sperandio Nascimento
Blucher Engineering Proceedings (2021), pp. 361-368
Open Access

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