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Rohit Kanauzia
ResearcherPublications, citations & collaboration network
Rohit Kanauzia is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 25 works, 32 citations, an h-index of 4 and an i10-index of 0.
25
Works
32
Citations
4
h-index
0
i10-index
IDs:OpenAlex
How has Rohit Kanauzia's publication output changed over time?
ScholarIQpublication output · 2022–2026
Output grew100% over the shown period — from 1 works in 2022 to 2 in 2026.
1
6
2
2
2022202320252026
What are the most-cited papers on Rohit Kanauzia?
ScholarIQmost cited works
Secure Architecture to Support IoT based on Fog Computing
Gulista Khan, Kamal Kumar Gola, Rohit Kanauzia, Sumit Kumar
Procedia Computer Science. 20226 CitationsOPEN ACCESS
Intelligent node identification and dynamic clustering for underwater acoustic sensor networks
Kamal Kumar Gola, Gulista Khan, Sumit Kumar, Rohit Kanauzia
Discover Computing. 20255 CitationsOPEN ACCESS
A comprehensive survey on federated learning for privacy preservation in digital healthcare applications
Rohit Kanauzia, Mridula Singh, Sagar Gulati, Brij Mohan Singh, Neha Arora, Kamal Kumar Gola
S81770430. 20265 Citations
Deep Learning for Unmanned Aerial Vehicles: Advancements, Applications, Challenges, and Future Directions
Priyanka Suyal, Kamal Kumar Gola, Rohit Kanauzia, Sarthika Dutt, Mridula, Lalit Mohan
20234 Citations
A lightweight YOLO11n seg framework for real time surface crack detection with segmentation
Shweta Tiwari, Kamal Kumar Gola, Rohit Kanauzia, Gopal Kumar Gupta
Scientific Reports. 20264 CitationsOPEN ACCESS
Related on ScholarIQ
Chandigarh University
Institution
Secure Architecture to Support IoT based on Fog Computing
Paper
Intelligent node identification and dynamic clustering for underwater acoustic sensor networks
Paper
A comprehensive survey on federated learning for privacy preservation in digital healthcare applications
Paper
Deep Learning for Unmanned Aerial Vehicles: Advancements, Applications, Challenges, and Future Directions
Paper
A lightweight YOLO11n seg framework for real time surface crack detection with segmentation
Paper