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:

Machine Learning Approaches to Traffic Accident Analysis and Hotspot Prediction
Daniel Santos, José Saias, Paulo Quaresma, et al.
Computers (2021) Vol. 10, Iss. 12, pp. 157-157
Open Access | Times Cited: 69

Showing 26-50 of 69 citing articles:

Disaster Analysis Using Machine Learning
P Purushotham, D Divya Priya, Ajmeera Kiran
(2022), pp. 1-6
Closed Access | Times Cited: 7

Clustering of Road Traffic Accidents as a Gestalt Problem
Milan Gnjatović, Ivan Košanin, Nemanja Maček, et al.
Applied Sciences (2022) Vol. 12, Iss. 9, pp. 4543-4543
Open Access | Times Cited: 5

Learning from Accidents: Spatial Intelligence Applied to Road Accidents with Insights from a Case Study in Setúbal District, Portugal
Pedro Nogueira, Marcelo Silva, Paulo Infante, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 3, pp. 93-93
Open Access | Times Cited: 2

A Predictive Model for Road Traffic Data Analysis and Visualization to Detect Accident Zones
S. Subhashini, R. Maruthi
2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) (2023) Vol. 8, pp. 1227-1231
Closed Access | Times Cited: 2

Blockchain and Machine Learning in Internet of Vehicles: Applications, Challenges, and Opportunities
Mina Zamanirafe, Pegah Mansourian, Ning Zhang
IEEE Internet of Things Magazine (2023) Vol. 6, Iss. 3, pp. 98-103
Closed Access | Times Cited: 2

A Novel Machine Learning-Based Approach for Analysis, Prediction and Prevention of Accidents on Indian National Highways
Anjali Deshpande, Vinit Tribhuvan
2022 6th International Conference On Computing, Communication, Control And Automation (ICCUBEA (2023), pp. 1-5
Closed Access | Times Cited: 2

Exploring Feature Engineering Strategies for Improving Predictive Models in Data Science
Ekaterina Katya
Deleted Journal (2023) Vol. 4, Iss. 2, pp. 201-215
Open Access | Times Cited: 2

Multiclass Classification by Various Machine Learning Algorithms and Interpretation of the Risk Factors of Pedestrian Accidents Using Explainable AI
Sanghun Lee, Sangyeop Kim, Jaehoon Kim, et al.
Mathematical Problems in Engineering (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 2

Applying Machine Learning Methods and Models to Explore the Structure of Traffic Accident Data
Anton Sysoev, Vladimir Klyavin, Alexandra Dvurechenskaya, et al.
Computation (2022) Vol. 10, Iss. 4, pp. 57-57
Open Access | Times Cited: 3

Pattern recognition of urban traffic accidents: Application of cluster analysis and support vector machine in accident pattern recognition
Longkai Chen, Jingjing Huang
Journal of Intelligent & Fuzzy Systems (2024), pp. 1-13
Closed Access

Predicting Accident Severity using Machine Learning
Rudresh Deepak Shirwaikar
Deleted Journal (2024) Vol. 20, Iss. 6s, pp. 2733-2746
Open Access

Exploring the Efficiency of Random Forest, Support Vector Machine, and Artificial Neural Network in Traffic Crash Data
Raju Bhele, Aayushman Subedi, Bibek Thapa, et al.
2022 International Conference on Inventive Computation Technologies (ICICT) (2024)
Closed Access

A Review of Vehicle Accident Detection and Notification Systems Based on Machine Learning Techniques
Duaa Hadi Nassar, Jamal Mustafa Al-Tuwaijari
Academic Science Journal (2024) Vol. 2, Iss. 2, pp. 105-126
Open Access

Leveraging Machine Learning Algorithms for Improved Road Safety
Muhammad Rafsan Kabir, Md. Samin Yasar
(2024), pp. 1-6
Closed Access

Driver Behavior Assessment with Different ML Models Using EEG and Physiological Data - A Comparative Study
Sama Hussein Al-Gburi, Kanar Alaa Al-Sammak, Khattab M. Ali Alheeti, et al.
2022 14th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) (2024), pp. 1-6
Closed Access

Predicting Fatality in Road Traffic Accidents: A Review on Techniques and Influential Factors
Lee Voon Hee, Norazlina Khamis, Rafidah Md Noor, et al.
Studies in systems, decision and control (2024), pp. 343-367
Closed Access

Enhancing Road Safety in India: A Predictive Analysis Using Machine Learning Algorithm for Accident Severity Modeling
Humera Khanum, Rushikesh Kulkarni, Anshul Garg, et al.
IntechOpen eBooks (2024)
Closed Access

Exploring and identification of road traffic crash hotspots in Kigali-city, Rwanda
Gatesi Jean de Dieu, Bin Shuai, Muwaffaq Safiyanu Labbo
International Journal of Crashworthiness (2024), pp. 1-17
Closed Access

Global Optimization for Road Traffic Accident
Bulbula Kumeda Kussia, Ghanim M. Alwan, Sadiq Hussain, et al.
Research Square (Research Square) (2024)
Open Access

Modeling the traffic accident probability of Urban roads based on an improved Bayesian network
Minqing Zhu, Peng Shi, Hongjun Cui, et al.
Transportation Letters (2024), pp. 1-14
Closed Access

Traffic Collision Occurrence and Severity Prediction for Enhanced Clearance Time
Nura Afaneh, Merkebe Getachew Demissie, Lina Kattan
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2024), pp. 214-220
Closed Access

Assessment of the Effect of Road Infrastructure on Traffic Accidents Based on the Fuzzy Linear Regression Method
Marta A. Muratova, Dmitry Plotnikov, Lilia V. Talipova, et al.
Lecture notes in networks and systems (2024), pp. 221-235
Closed Access

Data-Driven Approach to Reverse Engineer Detector Metadata at Signalized Intersections with Unknown Control Plans
Atousa Zarindast, Tingting Huang, Anuj Sharma, et al.
Data Science for Transportation (2024) Vol. 6, Iss. 2
Closed Access

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