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M. Owais Mohsin
ResearcherPublications, citations & collaboration network
M. Owais Mohsin is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 6 works, 14 citations, an h-index of 1 and an i10-index of 1.
6
Works
14
Citations
1
h-index
1
i10-index
IDs:OpenAlex
How has M. Owais Mohsin's publication output changed over time?
ScholarIQpublication output · 2016–2025
Output grew400% over the shown period — from 1 works in 2016 to 5 in 2025.
1
5
20162025
What are the most-cited papers on M. Owais Mohsin?
ScholarIQmost cited works
Design and fabrication of an underwater remotely operated vehicle (Single thruster configuration)
Inzamam Anwar, M. Owais Mohsin, Saqib Iqbal, Zain ul Abideen, Attique Ur Rehman, Nisar Ahmed
201613 Citations
High-Accuracy Plant Disease Detection: A ResNet18 Transfer Learning Approach for Multi-Class Classification
Serik Sailau, M. Owais Mohsin, Raja Hashim Ali, Umme Rabab Syed
20251 Citations
Mobile-Friendly Dog Breed Recognition Using ResNet-18 with Structured Pruning
Jonathan David Concha Matas, M. Owais Mohsin, Baraa Alkilany, Haider Ali Khan, Rashid Ali, Adnan Noor Shah
20250 Citations
Parameter-Efficient Fine-Tuning of Compact Language Models for Professional LinkedIn Post Generation
Lovepreet Kaur, M. Owais Mohsin, Rashid Ali, Umme Rabab Syed
20250 Citations
Algorithmic Insights into the N-Queens Problem: A Comparative Study Across Scales
Shresht Sanjay Prasad, M. Owais Mohsin, Jonathan David Concha Matas, Haider Ali Khan, Rashid Ali, Adnan Noor Shah
20250 Citations
Related on ScholarIQ
Ghulam Ishaq Khan Institute of Engineering Sciences and Technology
Institution
Design and fabrication of an underwater remotely operated vehicle (Single thruster configuration)
Paper
High-Accuracy Plant Disease Detection: A ResNet18 Transfer Learning Approach for Multi-Class Classification
Paper
Mobile-Friendly Dog Breed Recognition Using ResNet-18 with Structured Pruning
Paper
Parameter-Efficient Fine-Tuning of Compact Language Models for Professional LinkedIn Post Generation
Paper
Algorithmic Insights into the N-Queens Problem: A Comparative Study Across Scales
Paper