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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:

Machine learning versus linear regression modelling approach for accurate ozone concentrations prediction
Ellysia Jumin, Nur’atiah Zaini, Ali Najah Ahmed, et al.
Engineering Applications of Computational Fluid Mechanics (2020) Vol. 14, Iss. 1, pp. 713-725
Open Access | Times Cited: 93

Showing 1-25 of 93 citing articles:

Estimation of surface-level NO2 and O3 concentrations using TROPOMI data and machine learning over East Asia
Yoojin Kang, Hyunyoung Choi, Jungho Im, et al.
Environmental Pollution (2021) Vol. 288, pp. 117711-117711
Closed Access | Times Cited: 133
Efficient ozone concentration trend prediction using ANN and K-means clustering
Jun-Bum Park
Earth Science Informatics (2025) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
Machine Learning Application in Reservoir Water Level Forecasting for Sustainable Hydropower Generation Strategy
Michelle Sapitang, Wanie M. Ridwan, Khairul Faizal Kushiar, et al.
Sustainability (2020) Vol. 12, Iss. 15, pp. 6121-6121
Open Access | Times Cited: 98
Developing machine learning algorithms for meteorological temperature and humidity forecasting at Terengganu state in Malaysia
Marwah Sattar Hanoon, Ali Najah Ahmed, Nur’atiah Zaini, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 92
Surface water quality status and prediction during movement control operation order under COVID-19 pandemic: Case studies in Malaysia
A. Najah, Fang Yenn Teo, Chow Ming Fai, et al.
International Journal of Environmental Science and Technology (2021) Vol. 18, Iss. 4, pp. 1009-1018
Open Access | Times Cited: 71
Investigating photovoltaic solar power output forecasting using machine learning algorithms
Yusuf Essam, Ali Najah Ahmed, Rohaini Ramli, et al.
Engineering Applications of Computational Fluid Mechanics (2022) Vol. 16, Iss. 1, pp. 2002-2034
Open Access | Times Cited: 61
Modelling and investigating the impacts of climatic variables on ozone concentration in Malaysia using correlation analysis with random forest, decision tree regression, linear regression, and support vector regression
Abdul‐Lateef Balogun, Abdulwaheed Tella
Chemosphere (2022) Vol. 299, pp. 134250-134250
Open Access | Times Cited: 57
An ensemble machine learning model for water quality estimation in coastal area based on remote sensing imagery
Xiaotong Zhu, Hongwei Guo, Jinhui Jeanne Huang‬‬‬‬, et al.
Journal of Environmental Management (2022) Vol. 323, pp. 116187-116187
Closed Access | Times Cited: 54
Spatiotemporal variations of air pollutants and ozone prediction using machine learning algorithms in the Beijing-Tianjin-Hebei region from 2014 to 2021
Yan Lyu, Qinru Ju, Fengmao Lv, et al.
Environmental Pollution (2022) Vol. 306, pp. 119420-119420
Closed Access | Times Cited: 45
Water level prediction using various machine learning algorithms: a case study of Durian Tunggal river, Malaysia
Ali Najah Ahmed, Ayman Yafouz, Ahmed H. Birima, et al.
Engineering Applications of Computational Fluid Mechanics (2022) Vol. 16, Iss. 1, pp. 422-440
Open Access | Times Cited: 41
A hybrid CNN-Transformer model for ozone concentration prediction
Yibin Chen, Xiaomin Chen, XU Ai-lan, et al.
Air Quality Atmosphere & Health (2022) Vol. 15, Iss. 9, pp. 1533-1546
Closed Access | Times Cited: 41
Graph convolutional network – Long short term memory neural network- multi layer perceptron- Gaussian progress regression model: A new deep learning model for predicting ozone concertation
Mohammad Ehteram, Ali Najah Ahmed, Zohreh Sheikh Khozani, et al.
Atmospheric Pollution Research (2023) Vol. 14, Iss. 6, pp. 101766-101766
Open Access | Times Cited: 36
A review of deep learning and machine learning techniques for hydrological inflow forecasting
Sarmad Dashti Latif, Ali Najah Ahmed
Environment Development and Sustainability (2023) Vol. 25, Iss. 11, pp. 12189-12216
Closed Access | Times Cited: 30
Hybrid deep learning model for ozone concentration prediction: comprehensive evaluation and comparison with various machine and deep learning algorithms
Ayman Yafouz, Ali Najah Ahmed, Nur’atiah Zaini, et al.
Engineering Applications of Computational Fluid Mechanics (2021) Vol. 15, Iss. 1, pp. 902-933
Open Access | Times Cited: 53
A comprehensive study of various regressions and deep learning approaches for the prediction of friction factor in mobile bed channels
Akshita Bassi, Ajaz Ahmad Mir, Bimlesh Kumar, et al.
Journal of Hydroinformatics (2023) Vol. 25, Iss. 6, pp. 2500-2521
Open Access | Times Cited: 15
Spatial Distribution of Particulate Matter in Iran from Internal Factors to the Role of Western Adjacent Countries from Political Governance to Environmental Governance
Faezeh Borhani, Ali Asghar Pourezzat, Amir Houshang Ehsani
Earth Systems and Environment (2024) Vol. 8, Iss. 1, pp. 135-164
Closed Access | Times Cited: 6
Machine learning predictions for carbon monoxide levels in urban environments
Mohammad Abdullah Almubaidin, Nur Shazwani binti Ismail, Sarmad Dashti Latif, et al.
Results in Engineering (2024) Vol. 22, pp. 102114-102114
Open Access | Times Cited: 6
Parsimonious estimation of hourly surface ozone concentration across China during 2015–2020
Wenxiu Zhang, Di Liu, Hanqin Tian, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 6
Ozone Concentration Estimation and Meteorological Impact Quantification in the Beijing‐Tianjin‐Hebei Region Based on Machine Learning Models
Zheng Luo, Peilan Lu, Zhe Chen, et al.
Earth and Space Science (2024) Vol. 11, Iss. 2
Open Access | Times Cited: 5
From Data to Decisions: Predicting Patient Health Outcomes and Risk Using Machine Learning (Preprint)
Kazi Sabbir Ahmad Nahin
(2025)
Closed Access
Comment on egusphere-2024-3371

(2025)
Closed Access
Gap filling of water level time series with water area using remote sensing data: a comparative performance analysis of polynomial functions, XGBoost, Random Forest and Support Vector Machine
Ömer Gökberk Narin
Hydrological Sciences Journal (2025)
Closed Access
The Analysis of Ozone Pollution in Urban Agglomerations of the Sichuan Basin Based on the Scale Decomposition-Synthesis Method
Fangfei Liu, Yu Chen, Xiaojun Li, et al.
Environmental Research (2025), pp. 121121-121121
Closed Access
Study on the Impact of Input Parameters on Seawater Dissolved Oxygen Prediction Models
Wenqing Li, Jing Lv, Yuhang Wang, et al.
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 3, pp. 536-536
Open Access
Predicting Leadership Status Through Trait Emotional Intelligence and Cognitive Ability
Bogdan S. Zadorozhny, K. V. Petrides, Yongtian Cheng, et al.
Behavioral Sciences (2025) Vol. 15, Iss. 3, pp. 345-345
Open Access
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