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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:

Applying machine learning to construct braking emission model for real-world road driving
Ning Wei, Zhengyu Men, Chunzhe Ren, et al.
Environment International (2022) Vol. 166, pp. 107386-107386
Open Access | Times Cited: 11

Showing 11 citing articles:

Enhancing Biochar-Based Nonradical Persulfate Activation Using Data-Driven Techniques
Rupeng Wang, Shiyu Zhang, Honglin Chen, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 9, pp. 4050-4059
Closed Access | Times Cited: 90
Investigating the impact of high-altitude on vehicle carbon emissions: A comprehensive on-road driving study
Zhiwen Jiang, Lin Wu, Haomiao Niu, et al.
The Science of The Total Environment (2024) Vol. 918, pp. 170671-170671
Closed Access | Times Cited: 13
Laboratory Measurement and Machine Learning-Based Analysis of Driving Factors for Brake Wear Particle Emissions from Light-Duty Electric Vehicles and Heavy-Duty Vehicles.
Jiawei Yin, Xu Zhou, Wendi Wei, et al.
Journal of Hazardous Materials (2025) Vol. 488, pp. 137433-137433
Closed Access | Times Cited: 1
A Comprehensive OBD Data Analysis Framework: Identification and Factor Analysis of High-Emission Heavy-Duty Vehicles
Zeping Cao, Kai Shi, Hao Qin, et al.
Environmental Pollution (2025), pp. 125751-125751
Closed Access
Chemical characteristics of fine tire wear particles generated on a tire simulator
Quanyou Guo, Zhengyu Men, Zhenguo Liu, et al.
Environmental Pollution (2023) Vol. 336, pp. 122399-122399
Closed Access | Times Cited: 8
Instantaneous CO2 emission modelling for a Euro 6 start-stop vehicle based on portable emission measurement system data and artificial intelligence methods
Maksymilian Mądziel
Environmental Science and Pollution Research (2023) Vol. 31, Iss. 5, pp. 6944-6959
Open Access | Times Cited: 8
Data-driven machine learning model of a Selective Catalytic Reduction on Filter (SCRF) in a heavy-duty diesel engine: A comparison of Artificial Neural Network with Tree-based algorithms
Samuel Adeola Okeleye, Arvind Thiruvengadam, Mario Perhinschi, et al.
Energy (2023) Vol. 290, pp. 130117-130117
Closed Access | Times Cited: 5
Prediction of instantaneous particle number for light-duty gasoline vehicles under real driving conditions based on ensemble learning
Pengli Qiao, Jimin Ni, Rong Fung Huang, et al.
Journal of Cleaner Production (2023) Vol. 434, pp. 139859-139859
Closed Access | Times Cited: 4
An Explainable Prediction Model for Aerodynamic Noise of an Engine Turbocharger Compressor Using an Ensemble Learning and Shapley Additive Explanations Approach
Rong Fung Huang, Jimin Ni, Pengli Qiao, et al.
Sustainability (2023) Vol. 15, Iss. 18, pp. 13405-13405
Open Access | Times Cited: 2
Meta-Analysis as Early Evidence on the Particulate Emissions Impact of EURO VI on Battery Electric Bus Fleet Transitions
Jon Tivey, Huw Davies, J. G. Levine, et al.
Sustainability (2023) Vol. 15, Iss. 2, pp. 1522-1522
Open Access | Times Cited: 1
Instantaneous CO2 emission modeling for the Euro 6 start-stop vehicle based on portable emission measurement system and artificial intelligence methods
Maksymilian Mądziel
Research Square (Research Square) (2023)
Open Access
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