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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:

Forecasting of non-accidental, cardiovascular, and respiratory mortality with environmental exposures adopting machine learning approaches
Woojoo Lee, Youn‐Hee Lim, Eun-Hee Ha, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 58, pp. 88318-88329
Open Access | Times Cited: 11

Showing 11 citing articles:

Artificial intelligence: A key fulcrum for addressing complex environmental health issues
Lei Huang, Qiannan Duan, Yuxin Liu, et al.
Environment International (2025), pp. 109389-109389
Open Access | Times Cited: 3
Revisiting the importance of temperature, weather and air pollution variables in heat-mortality relationships with machine learning
Jérémie Boudreault, Céline Campagna, Fateh Chebana
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 9, pp. 14059-14070
Closed Access | Times Cited: 5
Advanced Deep Learning Techniques for Battery Thermal Management in New Energy Vehicles
Shaotong Qi, Yubo Cheng, Zhiyuan Li, et al.
Energies (2024) Vol. 17, Iss. 16, pp. 4132-4132
Open Access | Times Cited: 5
Multi-region models built with machine and deep learning for predicting several heat-related health outcomes
Jérémie Boudreault, Annabel Ruf, Céline Campagna, et al.
Sustainable Cities and Society (2024) Vol. 115, pp. 105785-105785
Open Access | Times Cited: 4
Unveiling the effect of urinary xenoestrogens on chronic kidney disease in adults: A machine learning model
Bowen Zhang, Liang Chen, Tao Li
Ecotoxicology and Environmental Safety (2025) Vol. 292, pp. 117945-117945
Closed Access
Tariff Analysis in Automobile Insurance: Is It Time to Switch from Generalized Linear Models to Generalized Additive Models?
Zuleyka Díaz Martínez, José Fernández Menéndez, Luis Javier García Villalba
Mathematics (2023) Vol. 11, Iss. 18, pp. 3906-3906
Open Access | Times Cited: 3
Machine learning analysis and risk prediction of weather-sensitive mortality related to cardiovascular disease during summer in Tokyo, Japan
Yukitaka Ohashi, Tomohiko Ihara, Kazutaka Oka, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 3
Using Machine Learning in the Prediction of the Influence of Atmospheric Parameters on Health
Dragan Ranđelović, Milan Ranđelović, Milan Čabarkapa
Mathematics (2022) Vol. 10, Iss. 17, pp. 3043-3043
Open Access | Times Cited: 3
Leveraging data science and machine learning for urban climate adaptation in two major African cities: a HE2AT Center study protocol
Christopher Jack, Craig Parker, Yao Etienne Kouakou, et al.
BMJ Open (2024) Vol. 14, Iss. 6, pp. e077529-e077529
Open Access
Exposomics and Cardiovascular Diseases: A Scoping Review of Machine Learning Approaches
Katerina D. Argyri, Ioannis Gallos, Angelos Amditis, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Machine learning analysis and future risk prediction of weather-sensitive cardiovascular disease mortality during summer in Tokyo, Japan
Yukitaka Ohashi, Tomohiko Ihara, Kazutaka Oka, et al.
Research Square (Research Square) (2023)
Open Access
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