Electronics | Most Cited Papers in 2025

We invite you to explore the most cited papers published in Electronics (ISSN 2079-9292) in 2025, which are listed below. Discover the research that attracted the greatest attention from our readers and explore the latest advances across the broad field of electronics.

1. “Advancing Power Systems with Renewable Energy and Intelligent Technologies: A Comprehensive Review on Grid Transformation and Integration”
by Muhammed Cavus
Electronics 2025, 14(6), 1159; https://doi.org/10.3390/electronics14061159

2. “Integrating Artificial Intelligence Agents with the Internet of Things for Enhanced Environmental Monitoring: Applications in Water Quality and Climate Data”
by Tymoteusz Miller, Irmina Durlik, Ewelina Kostecka, Polina Kozlovska, Adrianna Łobodzińska, Sylwia Sokołowska and Agnieszka Nowy
Electronics 2025, 14(4), 696; https://doi.org/10.3390/electronics14040696

3. “Federated Learning for Cloud and Edge Security: A Systematic Review of Challenges and AI Opportunities”
by Latifa Albshaier, Seetah Almarri and Abdullah Albuali
Electronics 2025, 14(5), 1019; https://doi.org/10.3390/electronics14051019

4. “A Cross-Cultural Crash Pattern Analysis in the United States and Jordan Using BERT and SHAP”
by Shadi Jaradat, Mohammed Elhenawy, Alexander Paz, Taqwa I. Alhadidi, Huthaifa I. Ashqar and Richi Nayak
Electronics 2025, 14(2), 272; https://doi.org/10.3390/electronics14020272

5. “Object Detection YOLO Algorithms and Their Industrial Applications: Overview and Comparative Analysis”
by Shizhao Kang, Ziyu Hu, Lianjun Liu, Kexin Zhang and Zhiyu Cao
Electronics 2025, 14(6), 1104; https://doi.org/10.3390/electronics14061104

6. “Use of Generative AI by Higher Education Students”
by Ana Elisa Sousa and Paula Cardoso
Electronics 2025, 14(7), 1258; https://doi.org/10.3390/electronics14071258

7. “Edge Intelligence: A Review of Deep Neural Network Inference in Resource-Limited Environments”
by Dat Ngo, Hyun-Cheol Park and Bongsoon Kang
Electronics 2025, 14(12), 2495; https://doi.org/10.3390/electronics14122495

8. “A Comprehensive Review of AI-Based Digital Twin Applications in Manufacturing: Integration Across Operator, Product, and Process Dimensions”
by David Alfaro-Viquez, Mauricio Zamora-Hernandez, Michael Fernandez-Vega, Jose Garcia-Rodriguez and Jorge Azorin-Lopez
Electronics 2025, 14(4), 646; https://doi.org/10.3390/electronics14040646

9. “A Review on Federated Learning Architectures for Privacy-Preserving AI: Lightweight and Secure Cloud–Edge–End Collaboration”
by Shanhao Zhan, Lianfen Huang, Gaoyu Luo, Shaolong Zheng, Zhibin Gao and Han-Chieh Chao
Electronics 2025, 14(13), 2512; https://doi.org/10.3390/electronics14132512

10. “Revolutionizing Urban Mobility: A Systematic Review of AI, IoT, and Predictive Analytics in Adaptive Traffic Control Systems for Road Networks”
by Carmen Gheorghe and Adrian Soica
Electronics 2025, 14(4), 719; https://doi.org/10.3390/electronics14040719

11. “Evaluating Trustworthiness in AI: Risks, Metrics, and Applications Across Industries”
by Aleksandra Nastoska, Bojana Jancheska, Maryan Rizinski and Dimitar Trajanov
Electronics 2025, 14(13), 2717; https://doi.org/10.3390/electronics14132717

12. “Addressing Class Imbalance in Intrusion Detection: A Comprehensive Evaluation of Machine Learning Approaches”
by Vaishnavi Shanmugam, Roozbeh Razavi-Far and Ehsan Hallaji
Electronics 2025, 14(1), 69; https://doi.org/10.3390/electronics14010069

13. “A Review of Multi-Agent Reinforcement Learning Algorithms”
by Jiaxin Liang, Haotian Miao, Kai Li, Jianheng Tan, Xi Wang, Rui Luo and Yueqiu Jiang
Electronics 2025, 14(4), 820; https://doi.org/10.3390/electronics14040820

14. “A Performance Analysis of You Only Look Once Models for Deployment on Constrained Computational Edge Devices in Drone Applications”
by Lucas Rey, Ana M. Bernardos, Andrzej D. Dobrzycki, David Carramiñana, Luca Bergesio, Juan A. Besada and José Ramón Casar
Electronics 2025, 14(3), 638; https://doi.org/10.3390/electronics14030638

15. “IoT–Cloud Integration Security: A Survey of Challenges, Solutions, and Directions”
by Mohammed Almutairi and Frederick T. Sheldon
Electronics 2025, 14(7), 1394; https://doi.org/10.3390/electronics14071394

16. “Document GraphRAG: Knowledge Graph Enhanced Retrieval Augmented Generation for Document Question Answering Within the Manufacturing Domain”
by Simon Knollmeyer, Oğuz Caymazer and Daniel Grossmann
Electronics 2025, 14(11), 2102; https://doi.org/10.3390/electronics14112102

17. “The Role of Machine Learning in AR/VR-Based Cognitive Therapies: A Systematic Review for Mental Health Disorders”
by Constantinos Halkiopoulos and Evgenia Gkintoni
Electronics 2025, 14(6), 1110; https://doi.org/10.3390/electronics14061110

18. “Detecting Defects in Solar Panels Using the YOLO v10 and v11 Algorithms”
by Ali Ghahremani, Scott D. Adams, Michael Norton, Sui Yang Khoo and Abbas Z. Kouzani
Electronics 2025, 14(2), 344; https://doi.org/10.3390/electronics14020344

19. “Edge AI in Practice: A Survey and Deployment Framework for Neural Networks on Embedded Systems”
by Ruth Cordova-Cardenas, Daniel Amor and Álvaro Gutiérrez
Electronics 2025, 14(24), 4877; https://doi.org/10.3390/electronics14244877

20. “Review of Drone-Based Technologies for Wind Turbine Blade Inspection”
by Seong-Jun Heo and Wongi S. Na
Electronics 2025, 14(2), 227; https://doi.org/10.3390/electronics14020227