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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 57 citing articles:

Machine learning algorithms to forecast air quality: a survey
Manuel Méndez, Mercedes G. Merayo, Manuel Núñez
Artificial Intelligence Review (2023) Vol. 56, Iss. 9, pp. 10031-10066
Open Access | Times Cited: 131
Air Quality Index prediction using machine learning for Ahmedabad city
Nilesh Maltare, Safvan Vahora
Digital Chemical Engineering (2023) Vol. 7, pp. 100093-100093
Open Access | Times Cited: 58
Machine learning-based characterization of hydrochar from biomass: Implications for sustainable energy and material production
Alireza Shafizadeh, Hossein Shahbeik, Shahin Rafiee, et al.
Fuel (2023) Vol. 347, pp. 128467-128467
Open Access | Times Cited: 41
Machine learning-based optimization of catalytic hydrodeoxygenation of biomass pyrolysis oil
Xiangmeng Chen, Alireza Shafizadeh, Hossein Shahbeik, et al.
Journal of Cleaner Production (2024) Vol. 437, pp. 140738-140738
Closed Access | Times Cited: 17
A comparative analysis of linear regression, neural networks and random forest regression for predicting air ozone employing soft sensor models
Zheng Zhou, Cheng Qiu, Yufan Zhang
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 25
Development and application of random forest regression soft sensor model for treating domestic wastewater in a sequencing batch reactor
Qiu Cheng, Zhan Chunhong, Li Qianglin
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 22
Machine learning technique based highly efficient slotted 4-port MIMO antenna using decoupling structure for sub-THz and THz 6G band applications
Samir Salem Al‐Bawri, Redwan A. Ananta, Md Ashraful Haque, et al.
Optical and Quantum Electronics (2024) Vol. 56, Iss. 10
Closed Access | Times Cited: 9
Exploring the causal relationship between PM 2.5 air pollution and urban areas economic welfare and social‐wellbeing: Evidence form 15 European capitals
Jean Vasile Andrei, Dragoș Sebastian Cristea, Florian Marcel Nuţă, et al.
Sustainable Development (2024) Vol. 32, Iss. 5, pp. 4567-4592
Closed Access | Times Cited: 8
Machine learning-powered performance monitoring of proton exchange membrane water electrolyzers for enhancing green hydrogen production as a sustainable fuel for aviation industry
Shahin Alipour Bonab, Thomas D. Waite, Wenjuan Song, et al.
Energy Reports (2024) Vol. 12, pp. 2270-2282
Open Access | Times Cited: 8
Improving Water Quality Index Prediction Using Regression Learning Models
Jesmeen Mohd Zebaral Hoque, Nor Azlina Ab. Aziz, Salem Alelyani, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 20, pp. 13702-13702
Open Access | Times Cited: 33
A comprehensive machine learning-based investigation for the index-value prediction of 2G HTS coated conductor tapes
Shahin Alipour Bonab, G.V. Russo, Antonio Morandi, et al.
Machine Learning Science and Technology (2024) Vol. 5, Iss. 2, pp. 025040-025040
Open Access | Times Cited: 6
Machine learning optimization of operating parameters to achieve high power density and efficiency of polymer electrolyte membrane fuel cell
Rashed Kaiser, Jong-Chun Park
Chemical Engineering Science (2024) Vol. 297, pp. 120309-120309
Closed Access | Times Cited: 5
Machine learning based modeling for estimation of drug solubility in supercritical fluid by adjusting important parameters
Yaoyang Liu, Morug Salih Mahdi, Usama Kadem Radi, et al.
Chemometrics and Intelligent Laboratory Systems (2024), pp. 105241-105241
Closed Access | Times Cited: 5
Interpretable Machine Learning Method for Compressive Strength Prediction and Analysis of Pure Fly Ash-based Geopolymer Concrete
Shi Yuqiong, Jingyi Li, Yang Zhang, et al.
Journal of Wuhan University of Technology-Mater Sci Ed (2025) Vol. 40, Iss. 1, pp. 65-78
Closed Access
Risk source identification and diffusion trends of metal(loid)s in stream sediments from an abandoned arsenic-containing mine
Jie Cao, Zhaohui Guo, Hongzhen Ran, et al.
Environmental Pollution (2023) Vol. 329, pp. 121713-121713
Closed Access | Times Cited: 12
Assessing the Impact of Climate Change on Summertime Tropospheric Ozone in the Eastern Mediterranean: Insights from Meteorological and Air Quality Modeling
Reza Rezaei, Gülen Güllü, Alper Ünal
Atmospheric Environment (2025) Vol. 344, pp. 121036-121036
Closed Access
Global-Scale Chlorophyll-A Monitoring for Inland Lake Water Quality Framework: Advancements, Machine Learning Models, and Transferability Challenges
Aung Chit Moe, Khim Cathleen Saddi, Ruodan Zhuang, et al.
(2025)
Closed Access
Comparative analysis of machine learning models for predicting water quality index in Dhaka’s rivers of Bangladesh
Maliha Nishat, Md. Habibur Rahman Bejoy Khan, Tahmeed Ahmed, et al.
Environmental Sciences Europe (2025) Vol. 37, Iss. 1
Open Access
The Influence of Meteorological Conditions and Seasons on Surface Ozone in Chonburi, Thailand
Sawaeng Kawichai, Wissanupong Kliengchuay, Htoo Wai Aung, et al.
Toxics (2025) Vol. 13, Iss. 3, pp. 226-226
Open Access
Intelligent Predictive Systems for Modeling PM10, Ozone, and Temperature Dynamics: A Forecasting Approach for Urban Air Quality in Delhi
Rahul Malik, Fazal Rehman, Renu Dhupper, et al.
Aerosol Science and Engineering (2025)
Closed Access
The Relationship Between Surface Meteorological Variables and Air Pollutants in Simulated Temperature Increase Scenarios in a Medium-Sized Industrial City
Ronan Adler Tavella, Daniele Feijó das Neves, Gustavo de Oliveira Silveira, et al.
Atmosphere (2025) Vol. 16, Iss. 4, pp. 363-363
Open Access
Advancing sustainable air quality through calibration of miniature air quality monitors with SRA-SVR combined model
Xiaofei Wang
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 3
The determining mechanism of technology catch-up in China's photovoltaic (PV) industry: Machine learning approaches
Xiaohui Zhao, Xiang Cai, Cuiting Jiang, et al.
Journal of Cleaner Production (2024) Vol. 450, pp. 142028-142028
Closed Access | Times Cited: 3
A machine learning approach to analyse ozone concentration in metropolitan area of Lima, Peru
Natalí Carbo‐Bustinza, Marisol Belmonte, Vasti Jimenez, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 18
Investigating the Soil Unconfined Compressive Strength Based on Laser-Induced Breakdown Spectroscopy Emission Intensities and Machine Learning Techniques
Y.S. Wudil, O. A. Al-Najjar, Mohammed A. Al‐Osta, et al.
ACS Omega (2023) Vol. 8, Iss. 29, pp. 26391-26404
Open Access | Times Cited: 9
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