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 for next‐generation intelligent transportation systems: A survey
Tingting Yuan, Wilson da Rocha Neto, Christian Esteve Rothenberg, et al.
Transactions on Emerging Telecommunications Technologies (2021) Vol. 33, Iss. 4
Open Access | Times Cited: 82

Showing 26-50 of 82 citing articles:

IoV Simulation Architecture for Software-Defined Vehicular Fog Network Orchestration
Leonel D. C. Alvarenga, Pedro Sousa, António Costa
(2025), pp. 40-54
Closed Access

Management of Intelligent Transportation Systems and Advanced Technology
Subhash Kumar Verma, Richa Verma, Bipin Kumar Singh, et al.
Energy, environment, and sustainability (2024), pp. 159-175
Closed Access | Times Cited: 3

Using Machine Learning Techniques to Predict Learner Drop-out Rate in Higher Educational Institutions
Delali Kwasi Dake, Charles Buabeng-Andoh
Mobile Information Systems (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 16

Harnessing UAVs for Fair 5G Bandwidth Allocation in Vehicular Communication via Deep Reinforcement Learning
Tingting Yuan, Christian Esteve Rothenberg, Katia Obraczka, et al.
IEEE Transactions on Network and Service Management (2021) Vol. 18, Iss. 4, pp. 4063-4074
Open Access | Times Cited: 22

A Systematic Review of Traffic Incident Detection Algorithms
Osama ElSahly, Akmal Abdelfatah
Sustainability (2022) Vol. 14, Iss. 22, pp. 14859-14859
Open Access | Times Cited: 15

How Do Autonomous Vehicles Decide?
Sumbal Malik, Manzoor Ahmed Khan, Hesham El‐Sayed, et al.
Sensors (2022) Vol. 23, Iss. 1, pp. 317-317
Open Access | Times Cited: 15

Intelligent multimedia content delivery in 5G/6G networks: A reinforcement learning approach
Muhammad Jamshaid Iqbal, Muhammad Farhan, Farhan Ullah, et al.
Transactions on Emerging Telecommunications Technologies (2023) Vol. 35, Iss. 4
Open Access | Times Cited: 8

Prediction of Accident Risk Levels in Traffic Accidents Using Deep Learning and Radial Basis Function Neural Networks Applied to a Dataset with Information on Driving Events
Cristian Arciniegas-Ayala, Pablo Marcillo, Ángel Leonardo Valdivieso Caraguay, et al.
Applied Sciences (2024) Vol. 14, Iss. 14, pp. 6248-6248
Open Access | Times Cited: 2

Integrative review of data sciences for driving smart mobility in intelligent transportation systems
Khurrum Jalil, Yuanqing Xia, Qián Chen, et al.
Computers & Electrical Engineering (2024) Vol. 119, pp. 109624-109624
Closed Access | Times Cited: 2

Distributed artificial intelligence: Taxonomy, review, framework, and reference architecture
Nourah Fahad Janbi, Iyad Katib, Rashid Mehmood
Intelligent Systems with Applications (2023) Vol. 18, pp. 200231-200231
Open Access | Times Cited: 6

Machine Learning Applied to Public Transportation by Bus: A Systematic Literature Review
Tielle Alexandre, Flávia Bernardini, José Viterbo, et al.
Transportation Research Record Journal of the Transportation Research Board (2023) Vol. 2677, Iss. 7, pp. 639-660
Closed Access | Times Cited: 5

Driving Towards Safety: Open Challenges in Safeguarding CPS-IoT for Cooperative Intelligent Transportation System*
Min Hee Jo, Peter Schneider, Alexey Vinel
2022 IEEE Intelligent Vehicles Symposium (IV) (2024), pp. 1707-1714
Closed Access | Times Cited: 1

AI‐Assisted Self‐Powered Vehicle‐Road Integrated Electronics for Intelligent Transportation Collaborative Perception
Yafeng Pang, Xingyi Zhu, Tianyiyi He, et al.
Advanced Materials (2024)
Closed Access | Times Cited: 1

TrafficTrack: rethinking the motion and appearance cue for multi-vehicle tracking in traffic monitoring
Hui Cai, Haifeng Lin, Dapeng Liu
Multimedia Systems (2024) Vol. 30, Iss. 4
Closed Access | Times Cited: 1

Distributed Learning in Intelligent Transportation Systems: A Survey
Qiong Li, Wanlei Zhou, Xi Zheng
Information (2024) Vol. 15, Iss. 9, pp. 550-550
Open Access | Times Cited: 1

A Review on Machine Learning in Intelligent Transportation Systems Applications
Abul Kalam Azad, Travis Atkison, A. F. M. Shahen Shah
The Open Transportation Journal (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 1

YOLO-BOS: An Emerging Approach for Vehicle Detection with a Novel BRSA Mechanism
Liang Zhao, Lulu Fu, Xin Jia, et al.
Sensors (2024) Vol. 24, Iss. 24, pp. 8126-8126
Open Access | Times Cited: 1

Machine learning based data collection protocol for intelligent transport systems: a real-time implementation on Dublin M50, Ireland
Maryam Gillani, Hafiz Adnan Niaz
Complex & Intelligent Systems (2023) Vol. 10, Iss. 2, pp. 1879-1897
Open Access | Times Cited: 4

Traffic Flow Prediction using Machine Learning Techniques - A Systematic Literature Review
Sigma Sathyan, S. N. Jagadeesha
International Journal of Applied Engineering and Management Letters (2022), pp. 210-230
Open Access | Times Cited: 5

Graph Neural Networks for Traffic Pattern Recognition: An Overview
Elham Binshaflout, Hakim Ghazzai, Yehia Massoud
(2023), pp. 110-115
Closed Access | Times Cited: 2

Reducing hysteresis and over‐smoothing in traffic estimation: A multistream spatial‐temporal graph convolutional network
Haiyang Yu, Shuai Liu, Yilong Ren, et al.
Transactions on Emerging Telecommunications Technologies (2023) Vol. 34, Iss. 11
Closed Access | Times Cited: 2

Heter-Train: A Distributed Training Framework Based on Semi-Asynchronous Parallel Mechanism for Heterogeneous Intelligent Transportation Systems
Jiawei Geng, Jing Cao, Haipeng Jia, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 1, pp. 959-972
Closed Access | Times Cited: 2

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