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King Salman Center for Disability Research
InstitutionResearch output, impact & collaborations
King Salman Center for Disability Research is a research organisation in Riyadh, SA. OpenAlex records 643 works and 9,390 citations for it. 242 researchers list it as their most recent affiliation.
643
Works
9,390
Citations
242
Researchers
15
Avg h-index
How has King Salman Center for Disability Research's publication output changed over time?
ScholarIQpublication output · 2020–2024
Output declined50% over the shown period — from 2 works in 2020 to 1 in 2024.
2
1
2
5
1
20202021202220232024
Who are the most-cited researchers behind King Salman Center for Disability Research?
ScholarIQtop researchers by citations
What are the most-cited papers on King Salman Center for Disability Research?
ScholarIQmost cited works
Automated detection and classification of fundus diabetic retinopathy images using synergic deep learning model
K. Shankar, Abdul Rahaman Wahab Sait, Deepak Gupta, S. K. Lakshmanaprabu, Ashish Khanna, Hari Mohan Pandey
S151820558. 2020296 CitationsOPEN ACCESS
Deep Learning with Backtracking Search Optimization Based Skin Lesion Diagnosis Model
C. S. S. Anupama, L. Natrayan, E. Laxmi Lydia, Abdul Rahaman Wahab Sait, José Escorcia‐Gutierrez, Margarita Gamarra, Romany F. Mansour
Computers, materials & continua/Computers, materials & continua (Print). 202183 CitationsOPEN ACCESS
An automated hyperparameter tuned deep learning model enabled facial emotion recognition for autonomous vehicle drivers
Deepak Kumar Jain, Ashit Kumar Dutta, Elena Verdú, Shtwai Alsubai, Abdul Rahaman Wahab Sait
S177430994. 202352 Citations
A Lightweight Diabetic Retinopathy Detection Model Using a Deep-Learning Technique
Abdul Rahaman Wahab Sait
Diagnostics. 202351 CitationsOPEN ACCESS
Lung Cancer Detection Model Using Deep Learning Technique
Abdul Rahaman Wahab Sait
Applied Sciences. 202349 CitationsOPEN ACCESS
How much of the research on King Salman Center for Disability Research is open access?
ScholarIQopen access share
91%OPEN ACCESS
Gold
82%
Green
9%
Hybrid
0%
Bronze
0%
Closed
9%