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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:

Fuzzy logic and deep Q learning based control for traffic lights
Ilhan Tunc, Mehmet Turan Söylemez
Alexandria Engineering Journal (2022) Vol. 67, pp. 343-359
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

A Novel Approach to Road Safety: Detecting Illegal Overtaking Using Smartphone Cameras and Deep Learning for Vehicle Auditing
Karem D. Marcomini, Vitória de Carvalho Brito, Gabriella Balestra, et al.
Journal of Sensor and Actuator Networks (2025) Vol. 14, Iss. 1, pp. 10-10
Open Access
Multi-Agent Deep Reinforcement Learning with Graph Attention Network for Traffic Signal Control in Multiple-Intersection Urban Areas
Guoqing Yang, Xin Wen, Fu-qiang Chen
Transportation Research Record Journal of the Transportation Research Board (2025)
Closed Access
A Self-Adaptive Traffic Signal System Integrating Real-Time Vehicle Detection and License Plate Recognition for Enhanced Traffic Management
Manar Ashkanani, A. Alajmi, Aeshah Alhayyan, et al.
Inventions (2025) Vol. 10, Iss. 1, pp. 14-14
Open Access
Enhancing traffic signal control with composite deep intelligence
Zhongnan Zhao, Kun Wang, Yue Wang, et al.
Expert Systems with Applications (2023) Vol. 244, pp. 123020-123020
Closed Access | Times Cited: 8
A Comparative Study of Traffic Signal Control Based on Reinforcement Learning Algorithms
C. F. Ouyang, Zhenfei Zhan, Fengyao Lv
World Electric Vehicle Journal (2024) Vol. 15, Iss. 6, pp. 246-246
Open Access | Times Cited: 2
Towards Design Automation of Microfluidic Mixers: Leveraging Reinforcement Learning and Artificial Neural Networks
Yu‐Wei Chen, Taotao Sun, Zhenya Liu, et al.
Micromachines (2024) Vol. 15, Iss. 7, pp. 901-901
Open Access | Times Cited: 2
Traffic Signal Control with State-Optimizing Deep Reinforcement Learning and Fuzzy Logic
Teerapun Meepokgit, Sumek Wisayataksin
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7908-7908
Open Access | Times Cited: 2
Intelligent Meta-Heuristic-Based Optimization of Traffic Light Timing Using Artificial Intelligence Techniques
Mohammed A. Khasawneh, Anjali Awasthi
Electronics (2023) Vol. 12, Iss. 24, pp. 4968-4968
Open Access | Times Cited: 6
A Novel, Three-Stage Intelligent Fuzzy Traffic Signal Control System
Tamrat D. Chala, László T. Kóczy
Acta Polytechnica Hungarica (2024) Vol. 21, Iss. 8, pp. 189-209
Open Access | Times Cited: 1
Una Revisión Sistemática de Literatura de Implementaciones de Sistemas de Control de Tráfico
E. León, Marco Antonio Coral Ygnacio
Interfases (2024), Iss. 019, pp. 157-178
Open Access | Times Cited: 1
Artificial Intelligence-Based Adaptive Traffic Signal Control System: A Comprehensive Review
Anurag Agrahari, Meera Dhabu, Parag Deshpande, et al.
Electronics (2024) Vol. 13, Iss. 19, pp. 3875-3875
Open Access | Times Cited: 1
Intelligent Traffic Control Decision-Making Based on Type-2 Fuzzy and Reinforcement Learning
Yunrui Bi, Qinglin Ding, Yijun Du, et al.
Electronics (2024) Vol. 13, Iss. 19, pp. 3894-3894
Open Access | Times Cited: 1
Wireless Network Safety Status Prediction Based on Fuzzy Logic
Xue Xiao, Yangbing Zheng, Chao Lu
Journal of Cyber Security and Mobility (2023)
Open Access | Times Cited: 3
Intelligent traffic signal controller for heterogeneous traffic using reinforcement learning
R M Savithramma, R. Sumathi
Green Energy and Intelligent Transportation (2023) Vol. 2, Iss. 6, pp. 100124-100124
Open Access | Times Cited: 3
Rainfall Prediction Using Fuzzy Systems
Farheen Azad, Praveen Kumar Shukla
Lecture notes in networks and systems (2024), pp. 467-476
Closed Access
Dynamic Traffic Management Using Reinforcement Learning
Aryaan Shaikh, Babasaheb Bhalekar, Pravin Futane
International Journal of Computing and Digital Systems (2024) Vol. 15, Iss. 1, pp. 1007-1017
Open Access
Controlling a Single Tank Liquid Level System with Classical Control Methods and Reinforcement Learning Methods
Murat Erhan Çimen, Zeynep Garip
Kocaeli Journal of Science and Engineering (2024) Vol. 7, Iss. 1, pp. 30-41
Open Access
Uniformity of markov elements in deep reinforcement learning for traffic signal control
Bao‐Lin Ye, Peng Wu, Lingxi Li, et al.
Electronic Research Archive (2024) Vol. 32, Iss. 6, pp. 3843-3866
Open Access
Addressing Urban Traffic Congestion: A Hybrid DQN-Autoencoder Model with HyperOPT Tuning
Anurag Balakrishnan, Satyam Pathak, Pedro Javier Herrera, et al.
International Conference on Transportation and Development 2022 (2024) Vol. 17, pp. 739-749
Closed Access
Integral reinforcement learning based dynamic stackelberg pursuit-evasion game for unmanned surface vehicles
Xiaoxiang Hu, Shuaizheng Liu, Jingwen Xu, et al.
Alexandria Engineering Journal (2024) Vol. 108, pp. 428-435
Open Access
Application of Q-learning in stabilization of multicarrier energy systems
Burak Yıldırım, Meysam Gheisarnejad, Maryam Homayounzadeh, et al.
Elsevier eBooks (2024), pp. 127-154
Closed Access
Development and application of a risk analysis methodology for road traffic accidents
Radfan Abdulrahman, Meshal Almoshaogeh, Husnain Haider, et al.
Alexandria Engineering Journal (2024) Vol. 111, pp. 293-305
Open Access
Enhancing Urban Traffic Flow Through Fuzzy Logic-Based Signal Light Control Optimization
Yingjie Wu
International Journal of e-Collaboration (2024) Vol. 20, Iss. 1, pp. 1-13
Open Access
Probabilistic Reasoning Using the Normal Distribution for Traffic Light Controller
Shamil A. Ahmadov
Lecture notes in networks and systems (2024), pp. 94-103
Closed Access
Adaptive Transit Signal Priority Control for Traffic Safety and Efficiency Optimization: A Multi-Objective Deep Reinforcement Learning Framework
Yuxuan Dong, Helai Huang, Gongquan Zhang, et al.
Mathematics (2024) Vol. 12, Iss. 24, pp. 3994-3994
Open Access
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