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How has Mabrook Al‐Rakhami's publication output changed over time?
ScholarIQpublication output · 2017–2021
Output grew600% over the shown period — from 1 works in 2017 to 7 in 2021.
1
1
1
7
2017201920202021
What are the most-cited papers on Mabrook Al‐Rakhami?
ScholarIQmost cited works
Automatic Detection of Citrus Fruit and Leaves Diseases Using Deep Neural Network Model
Asad Masood Khattak, Muhammad Usama Asghar, Ulfat Batool, Muhammad Zubair Asghar, Hayat Ullah, Mabrook Al‐Rakhami, Abdu Gumaei
IEEE Access. 2021240 CitationsOPEN ACCESS
CardioXNet: A Novel Lightweight Deep Learning Framework for Cardiovascular Disease Classification Using Heart Sound Recordings
Samiul Based Shuvo, Shams Nafisa Ali, Soham Irtiza Swapnil, Mabrook Al‐Rakhami, Abdu Gumaei
IEEE Access. 2021209 CitationsOPEN ACCESS
Intelligent task prediction and computation offloading based on mobile-edge cloud computing
Yiming Miao, Gaoxiang Wu, Miao Li, Ahmed Ghoneim, Mabrook Al‐Rakhami, M. Shamim Hossain
S186357190. 2019178 Citations
Lies Kill, Facts Save: Detecting COVID-19 Misinformation in Twitter
Mabrook Al‐Rakhami, Atif Alamri
IEEE Access. 2020158 CitationsOPEN ACCESS
Recent Advances in Deep Learning Techniques for Face Recognition
Md. Tahmid Hasan Fuad, Awal Ahmed Fime, Delowar Sikder, Md. Akil Raihan Iftee, Jakaria Rabbi, Mabrook Al‐Rakhami, Abdu Gumaei, Ovishake Sen, Mohtasim Fuad, Md. Nazrul Islam
IEEE Access. 2021122 CitationsOPEN ACCESS
Related on ScholarIQ
King Saud University
Institution
Automatic Detection of Citrus Fruit and Leaves Diseases Using Deep Neural Network Model
Paper
CardioXNet: A Novel Lightweight Deep Learning Framework for Cardiovascular Disease Classification Using Heart Sound Recordings
Paper
Intelligent task prediction and computation offloading based on mobile-edge cloud computing
Paper
Lies Kill, Facts Save: Detecting COVID-19 Misinformation in Twitter
Paper
Recent Advances in Deep Learning Techniques for Face Recognition
Paper