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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:

A Review of Research on Driving Styles and Road Safety
Fridulv Sagberg, Selpi Selpi, Giulio Bianchi Piccinini, et al.
Human Factors The Journal of the Human Factors and Ergonomics Society (2015) Vol. 57, Iss. 7, pp. 1248-1275
Open Access | Times Cited: 347

Showing 1-25 of 347 citing articles:

A Survey of Autonomous Driving: Common Practices and Emerging Technologies
Ekim Yurtsever, Jacob Lambert, Alexander Carballo, et al.
IEEE Access (2020) Vol. 8, pp. 58443-58469
Open Access | Times Cited: 1194
Driving Style Classification Using a Semisupervised Support Vector Machine
Wenshuo Wang, Junqiang Xi, Alexandre Chong, et al.
IEEE Transactions on Human-Machine Systems (2017) Vol. 47, Iss. 5, pp. 650-660
Closed Access | Times Cited: 220
Estimation of driving style in naturalistic highway traffic using maneuver transition probabilities
Guofa Li, Shengbo Eben Li, Bo Cheng, et al.
Transportation Research Part C Emerging Technologies (2016) Vol. 74, pp. 113-125
Closed Access | Times Cited: 199
Comfort in automated driving: An analysis of preferences for different automated driving styles and their dependence on personality traits
Hanna Bellem, Barbara Thiel, Michael Schrauf, et al.
Transportation Research Part F Traffic Psychology and Behaviour (2018) Vol. 55, pp. 90-100
Closed Access | Times Cited: 199
The application of machine learning techniques for driving behavior analysis: A conceptual framework and a systematic literature review
Zouhair Elamrani Abou Elassad, Hajar Mousannif, Hassan Al Moatassime, et al.
Engineering Applications of Artificial Intelligence (2019) Vol. 87, pp. 103312-103312
Closed Access | Times Cited: 171
Driver Distraction Detection Methods: A Literature Review and Framework
Alexey Kashevnik, R.A. Shchedrin, Christian Kaiser, et al.
IEEE Access (2021) Vol. 9, pp. 60063-60076
Open Access | Times Cited: 111
A proactive crash risk prediction framework for lane-changing behavior incorporating individual driving styles
Yunchao Zhang, Yanyan Chen, Xin Gu, et al.
Accident Analysis & Prevention (2023) Vol. 188, pp. 107072-107072
Closed Access | Times Cited: 49
How do drivers manage speed at tunnel entrances? Insights from uncorrelated grouped random parameters duration models for model invalidation and performance recovery times
Yunjie Ju, Shi Ye, Tiantian Chen, et al.
Analytic Methods in Accident Research (2025), pp. 100371-100371
Closed Access | Times Cited: 3
Driving Style Analysis Using Primitive Driving Patterns With Bayesian Nonparametric Approaches
Wenshuo Wang, Junqiang Xi, Ding Zhao
IEEE Transactions on Intelligent Transportation Systems (2018) Vol. 20, Iss. 8, pp. 2986-2998
Open Access | Times Cited: 145
Innovative motor insurance schemes: A review of current practices and emerging challenges
Dimitrios I. Tselentis, George Yannis, Eleni I. Vlahogianni
Accident Analysis & Prevention (2016) Vol. 98, pp. 139-148
Closed Access | Times Cited: 127
An adaptive ECMS with driving style recognition for energy optimization of parallel hybrid electric buses
Xiang Tian, Yingfeng Cai, Xiaodong Sun, et al.
Energy (2019) Vol. 189, pp. 116151-116151
Closed Access | Times Cited: 127
The multidimensional driving style inventory a decade later: Review of the literature and re-evaluation of the scale
Orit Taubman – Ben‐Ari, Vera Skvirsky
Accident Analysis & Prevention (2016) Vol. 93, pp. 179-188
Closed Access | Times Cited: 123
How do drivers overtake cyclists?
Marco Dozza, Ron Schindler, Giulio Bianchi Piccinini, et al.
Accident Analysis & Prevention (2015) Vol. 88, pp. 29-36
Open Access | Times Cited: 120
Culture and low-carbon energy transitions
Benjamin K. Sovacool, Steve Griffiths
Nature Sustainability (2020) Vol. 3, Iss. 9, pp. 685-693
Closed Access | Times Cited: 102
Executive Function Capacities, Negative Driving Behavior and Crashes in Young Drivers
Elizabeth A. Walshe, Chelsea Ward McIntosh, Dan Romer, et al.
International Journal of Environmental Research and Public Health (2017) Vol. 14, Iss. 11, pp. 1314-1314
Open Access | Times Cited: 94
Identifying driving safety profiles from smartphone data using unsupervised learning
Eleni G. Mantouka, Emmanouil Barmpounakis, Eleni I. Vlahogianni
Safety Science (2019) Vol. 119, pp. 84-90
Closed Access | Times Cited: 93
A comparative study of state-of-the-art driving strategies for autonomous vehicles
Can Zhao, Li Li, Xin Pei, et al.
Accident Analysis & Prevention (2020) Vol. 150, pp. 105937-105937
Closed Access | Times Cited: 88
Personalization as a promise: Can Big Data change the practice of insurance?
Laurence Barry, Arthur Charpentier
Big Data & Society (2020) Vol. 7, Iss. 1, pp. 205395172093514-205395172093514
Open Access | Times Cited: 84
Drivers trust, acceptance, and takeover behaviors in fully automated vehicles: Effects of automated driving styles and driver’s driving styles
Zheng Ma, Yiqi Zhang
Accident Analysis & Prevention (2021) Vol. 159, pp. 106238-106238
Open Access | Times Cited: 77
Driving style recognition and comparisons among driving tasks based on driver behavior in the online car-hailing industry
Yongfeng Ma, Wenlu Li, Kun Tang, et al.
Accident Analysis & Prevention (2021) Vol. 154, pp. 106096-106096
Closed Access | Times Cited: 75
Extraction of descriptive driving patterns from driving data using unsupervised algorithms
Guofa Li, Yaoyu Chen, Dongpu Cao, et al.
Mechanical Systems and Signal Processing (2021) Vol. 156, pp. 107589-107589
Closed Access | Times Cited: 67
A Review of HMM-Based Approaches of Driving Behaviors Recognition and Prediction
Qi Deng, Dirk Söffker
IEEE Transactions on Intelligent Vehicles (2021) Vol. 7, Iss. 1, pp. 21-31
Closed Access | Times Cited: 62
Driving Behavior Classification Based on Oversampled Signals of Smartphone Embedded Sensors Using an Optimized Stacked-LSTM Neural Networks
Moayed A. Khodairy, Gibrael Abosamra
IEEE Access (2021) Vol. 9, pp. 4957-4972
Open Access | Times Cited: 58
Robustness and Adaptability of Reinforcement Learning-Based Cooperative Autonomous Driving in Mixed-Autonomy Traffic
Rodolfo Valiente, Behrad Toghi, Ramtin Pedarsani, et al.
IEEE Open Journal of Intelligent Transportation Systems (2022) Vol. 3, pp. 397-410
Open Access | Times Cited: 44
Feature selection for driving style and skill clustering using naturalistic driving data and driving behavior questionnaire
Yao Chen, Ke Wang, Jian Lu
Accident Analysis & Prevention (2023) Vol. 185, pp. 107022-107022
Closed Access | Times Cited: 23
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