Drones | 2022–2023 Highly Cited Papers in Web of Science

We are delighted to present the selection of highly cited papers from Drones (ISSN: 2504-446X) in Web of Science for the years 2022 and 2023. As of July/August 2023, these papers have received sufficient citations, positioning them among the top 1% in the academic field of geosciences, based on a high cited threshold for the field and publication year. These papers stand as a testament to the exceptional quality and impact of research within the realm of drones. We invite you to explore the selected papers below.

1. “An Effective Approach for Automatic River Features Extraction Using High-Resolution UAV Imagery”
by Marco La Salandra, Rosa Colacicco, Pierfrancesco Dellino and Domenico Capolongo
Drones 2023, 7(2), 70; https://doi.org/10.3390/drones7020070
Available online: https://www.mdpi.com/2504-446X/7/2/70

2. “The Effects of Spatial Resolution and Resampling on the Classification Accuracy of Wetland Vegetation Species and Ground Objects: A Study Based on High Spatial Resolution UAV Images”
by Jianjun Chen, Zizhen Chen, Renjie Huang, Haotian You, Xiaowen Han, Tao Yue and Guoqing Zhou
Drones 2023, 7(1), 61; https://doi.org/10.3390/drones7010061
Available online: https://www.mdpi.com/2504-446X/7/1/61

3. “Towards the Unmanned Aerial Vehicles (UAVs): A Comprehensive Review”
by Syed Agha Hassnain Mohsan, Muhammad Asghar Khan, Fazal Noor, Insaf Ullah and Mohammed H. Alsharif
Drones 2022, 6(6), 147; https://doi.org/10.3390/drones6060147
Available online: https://www.mdpi.com/2504-446X/6/6/147

4. “Topology-Based Routing Protocols and Mobility Models for Flying Ad hoc Networks: A Contemporary Review and Future Research Directions”
by Ali H. Wheeb, Rosdiadee Nordin, Asma’ Abu Samah, Mohammed H. Alsharif and Muhammad Asghar Khan
Drones 2022, 6(1), 9; https://doi.org/10.3390/drones6010009
Available online: https://www.mdpi.com/2504-446X/6/1/9

5. “An Intelligent Fault Diagnosis Approach for Multirotor UAVs Based on Deep Neural Network of Multi-Resolution Transform Features”
by Luttfi A. Al-Haddad and Alaa Abdulhady Jaber
Drones 2023, 7(2), 82; https://doi.org/10.3390/drones7020082
Available online: http://www.mdpi.com/2504-446X/7/2/82

6. “Vision-Based Navigation Techniques for Unmanned Aerial Vehicles: Review and Challenges”
by Muhammad Yeasir Arafat, Muhammad Morshed Alam and Sangman Moh
Drones 2023, 7(2), 89; https://doi.org/10.3390/drones7020089
Available online: https://www.mdpi.com/2504-446X/7/2/89

7. “Special Vehicle Detection from UAV Perspective via YOLO-GNS Based Deep Learning Network”
by Zifeng Qiu, Huihui Bai and Taoyi Chen
Drones 2023, 7(2), 117; https://doi.org/10.3390/drones7020117
Available online: https://www.mdpi.com/2504-446X/7/2/117

8. “Wireless Communications for Data Security: Efficiency Assessment of Cybersecurity Industry-A Promising Application for UAVs”
by Chia-Nan Wang, Fu-ChiangYang, Nhut T. M. Vo and Van Thanh Tien Nguyen
Drones 2022, 6(11), 363; https://doi.org/10.3390/drones6110363
Available online: http://www.mdpi.com/2504-446X/6/11/363