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:

Robust spatiotemporal crash risk prediction with gated recurrent convolution network and interpretable insights from SHapley additive explanations
Mohammad Tamim Kashifi
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107379-107379
Closed Access | Times Cited: 8

Showing 8 citing articles:

A novel hybrid group method of data handling and Levenberg Marquardt model for estimating total organic carbon in source rocks with explainable artificial intelligence
Christopher N. Mkono, Chuanbo Shen, Alvin K. Mulashani, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110137-110137
Closed Access | Times Cited: 1

ShapG: New feature importance method based on the Shapley value
Chi Zhao, Jing Liu, Elena Parilina
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110409-110409
Closed Access | Times Cited: 1

VRDeepSafety: A Scalable VR Simulation Platform with V2X Communication for Enhanced Accident Prediction in Autonomous Vehicles
Mohammad BaniSalman, Mohammad Aljaidi, Najat Elgeberi, et al.
World Electric Vehicle Journal (2025) Vol. 16, Iss. 2, pp. 82-82
Open Access

Optimizing Machine Learning Models with Bayesian Techniques for Prediction of Groundwater Quality Index in Southwest Saudi Arabia
Fahad Alshehri, Shahfahad, Atiqur Rahman
Earth Systems and Environment (2024)
Closed Access | Times Cited: 2

Assessing the impact of car-following driving style on traffic conflict risk using asymmetric behavior model and explainable machine learning
Xiaochi Ma, Yibo Zhou, Jian Lü, et al.
Accident Analysis & Prevention (2024) Vol. 211, pp. 107904-107904
Closed Access | Times Cited: 2

Deep Forest with SHapley additive explanations on detailed risky driving behavior data for freeway crash risk prediction
Xiaochi Ma, Zongxin Huo, Jian Lü, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 141, pp. 109787-109787
Closed Access | Times Cited: 1

Deep Hybrid Attention Framework for Road Crash Emergency Response Management
Mohammad Tamim Kashifi
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 8, pp. 8807-8818
Closed Access

Traffic signal optimization framework using interpretable machine learning technique under heterogeneous-autonomy traffic environment
Mohammed Al-Turki, Mohammad Tamim Kashifi, Nedal T. Ratrout, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 22, pp. 13761-13781
Closed Access

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