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Moataz M. Abdelwahab
ResearcherPublications, citations & collaboration network
Moataz M. Abdelwahab is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 64 works, 848 citations, an h-index of 12 and an i10-index of 13.
64
Works
848
Citations
12
h-index
13
i10-index
IDs:OpenAlex
How has Moataz M. Abdelwahab's publication output changed over time?
ScholarIQpublication output · 2011–2023
Output grew0% over the shown period — from 1 works in 2011 to 1 in 2023.
1
1
2
1
2
1
1
1
20112015201820192020202120222023
What are the most-cited papers on Moataz M. Abdelwahab?
ScholarIQmost cited works
Tomato leaf segmentation algorithms for mobile phone applications using deep learning
Lawrence C. Ngugi, Moataz M. Abdelwahab, Mohammed Abo‐Zahhad
Computers and Electronics in Agriculture. 2020145 Citations
Efficient vehicle detection and tracking strategy in aerial videos by employing morphological operations and feature points motion analysis
Ahmed Gomaa, Moataz M. Abdelwahab, Mohammed Abo‐Zahhad
S110206669. 2020133 Citations
Faster CNN-based vehicle detection and counting strategy for fixed camera scenes
Ahmed Gomaa, Tsubasa Minematsu, Moataz M. Abdelwahab, Mohammed Abo‐Zahhad, Rin‐ichiro Taniguchi
S110206669. 202293 CitationsOPEN ACCESS
Robust Vehicle Detection and Counting Algorithm Employing a Convolution Neural Network and Optical Flow
Ahmed Gomaa, Moataz M. Abdelwahab, Mohammed Abo‐Zahhad, Tsubasa Minematsu, Rin-ichiro Taniguchi
Sensors. 201972 CitationsOPEN ACCESS
Real-Time Algorithm for Simultaneous Vehicle Detection and Tracking in Aerial View Videos
Ahmed Gomaa, Moataz M. Abdelwahab, Mohammed Abo‐Zahhad
201866 Citations
Related on ScholarIQ
Egypt-Japan University of Science and Technology
Institution
Tomato leaf segmentation algorithms for mobile phone applications using deep learning
Paper
Efficient vehicle detection and tracking strategy in aerial videos by employing morphological operations and feature points motion analysis
Paper
Faster CNN-based vehicle detection and counting strategy for fixed camera scenes
Paper
Robust Vehicle Detection and Counting Algorithm Employing a Convolution Neural Network and Optical Flow
Paper
Real-Time Algorithm for Simultaneous Vehicle Detection and Tracking in Aerial View Videos
Paper