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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.

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Showing 1-25 of 59 citing articles:

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
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
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
Comparative Analysis of Multiple Deep Learning Models for Forecasting Monthly Ambient PM2.5 Concentrations: A Case Study in Dezhou City, China
Zhenfang He, Qingchun Guo
Atmosphere (2024) Vol. 15, Iss. 12, pp. 1432-1432
Open Access | Times Cited: 9
PM2.5 Concentration Prediction Using CNN‐LSTM Model Based on Multi‐Feature Fusion
Zhiwen Wang, Junjian Huang, Junlin Huang, et al.
Concurrency and Computation Practice and Experience (2025) Vol. 37, Iss. 4-5
Closed Access | Times Cited: 1
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
A novel approach for forecasting PM2.5 pollution in Delhi using CATALYST
Abhishek Verma, Virender Ranga, Dinesh Kumar Vishwakarma
Environmental Monitoring and Assessment (2023) Vol. 195, Iss. 12
Closed Access | Times Cited: 17
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
Applying Machine Learning Techniques in Air Quality Prediction—A Bucharest City Case Study
Grigore Cican, Adrian-Nicolae Buturache, Radu Mirea
Sustainability (2023) Vol. 15, Iss. 11, pp. 8445-8445
Open Access | Times Cited: 12
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
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 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
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
CucuNetCNNs: Application of novel ensemble deep neural networks for classification of cucumber leaf disease
Muhammet Emin Şahin, Umut Özkaya, Çağrı Arısoy, et al.
Ain Shams Engineering Journal (2025) Vol. 16, Iss. 5, pp. 103380-103380
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
Spatial characterization of periodic behaviors of ground PM2.5 concentration across the Yangtze River Delta and the North China Plain during 2014 – 2024: A new insight on driving processes of regional air pollution
Ying Liu, A N D U A L E M T S E H A Y E Adamu, Jianguo Tan
Environmental Research (2025), pp. 121648-121648
Closed Access
Walrus Optimization Algorithm for Panchromatic and Multispectral Image Fusion
R. Dileep, J. Jayanth, A.L. Choodarathnakar, et al.
Remote Sensing Applications Society and Environment (2025), pp. 101562-101562
Closed Access
Quadratic discriminant feature selected broken stick regressive deep convolution neural learning classification for turmeric crop yield prediction
Ramkumar Krishnamoorthy, Rajasekaran Chinnappan, Jayanthi Krishnasamy Balasundaram
Network Computation in Neural Systems (2025), pp. 1-38
Closed 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
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
Comparative Analysis of Machine Learning Models for Predicting PM2.5 Concentrations Using Meteorological and Chemical Indicators
Muhammad Haseeb, Zainab Tahir, Syed Amer Mahmood, et al.
Journal of Atmospheric and Solar-Terrestrial Physics (2024) Vol. 263, pp. 106338-106338
Closed Access | Times Cited: 3
A Novel Coupled Optimization Prediction Model for Air Quality
Q. Shao, Jiahao Chen, Tao Jiang
IEEE Access (2023) Vol. 11, pp. 69667-69685
Open Access | Times Cited: 9
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