Classifications, applications, and design challenges of drones: A review

By M. Hassanalian, Abdessattar Abdelkefi. 2017

1,292 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/52a749aacfc4de71ba3646f99a97d990eb6c0faf

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Mohammad Wazid
2. Neeraj Kumar
3. Ashok Kumar Das
4. Athanasios V. Vasilakos

In Computer Vision and Pattern Recognition

1. Neeraj Kumar
2. Joel J. P. C. Rodrigues
3. Ashok Kumar Das
4. Athanasios V. Vasilakos
5. Mohammad Wazid

Citations in the corpus

• Artificial Intelligence, Transport and the Smart City: Definitions and Dimensions of a New Mobility Era (2020, neutral): “…of the themes presented in our paper, including AI (e.g., [96–100]), smart city (e.g., [101–105]), CAVs (e.g., [106–109]), UAVs and PAVs (e.g., [110–113]), MaaS (e.g., [114–117]), IoT (e.g., [118–121]), PI (e.g., [122–125]) and Industry 4.0 (e.g., [126–129]), there is as yet no clear and…”
• A Comprehensive Overview on 5G-and-Beyond Networks With UAVs: From Communications to Sensing and Intelligence (2020, neutral): “classifications and applications was provided in [7].”
• Design and Analysis of Secure Lightweight Remote User Authentication and Key Agreement Scheme in Internet of Drones Deployment (2019, background): “Hassanalian and Abdelkefi [9] provided a survey on classification of flying drones which ranges from unmanned air vehicles to smart dusts.”