Upload Records Snowball Search Search OpenAlex
About the database ScholarIQanswers from OpenAlex & ORCID
Sabah Abdulazeez Jebur
ResearcherPublications, citations & collaboration network
Sabah Abdulazeez Jebur is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 24 works, 309 citations, an h-index of 10 and an i10-index of 10.
24
Works
309
Citations
10
h-index
10
i10-index
How has Sabah Abdulazeez Jebur's publication output changed over time?
ScholarIQpublication output · 2022–2025
Output grew100% over the shown period — from 2 works in 2022 to 4 in 2025.
2
4
1
4
2022202320242025
What are the most-cited papers on Sabah Abdulazeez Jebur?
ScholarIQmost cited works
Review on Deep Learning Approaches for Anomaly Event Detection in Video Surveillance
Sabah Abdulazeez Jebur, Khalid Ali Hussein, Haider K. Hoomod, Laith Alzubaidi, José Santamaría
Electronics. 202265 CitationsOPEN ACCESS
Novel Deep Feature Fusion Framework for Multi-Scenario Violence Detection
Sabah Abdulazeez Jebur, Khalid Ali Hussein, Haider K. Hoomod, Laith Alzubaidi
S4210228075. 202349 CitationsOPEN ACCESS
MEFF – A model ensemble feature fusion approach for tackling adversarial attacks in medical imaging
Laith Alzubaidi, Khamael Al-Dulaimi, Huda Abdul-Hussain Obeed, Ahmed Saihood, Mohammed A. Fadhel, Sabah Abdulazeez Jebur, Yubo Chen, A. S. Albahri, José Santamaría, Ashish Gupta, Yuantong Gu
Intelligent Systems with Applications. 202430 CitationsOPEN ACCESS
A Scalable and Generalised Deep Learning Framework for Anomaly Detection in Surveillance Videos
Sabah Abdulazeez Jebur, Laith Alzubaidi, Ahmed Saihood, Khalid Ali Hussein, Haider K. Hoomod, Yuantong Gu
S57950554. 202530 CitationsOPEN ACCESS
Employing Transfer Learning for Diagnosing COVID-19 Disease
Lafta Raheem Ali, Sabah Abdulazeez Jebur, Mothefer Majeed Jahefer, Bassam Noori Shaker
S4210211237. 202228 CitationsOPEN ACCESS
Related on ScholarIQ
Alsalam University College
Institution
Review on Deep Learning Approaches for Anomaly Event Detection in Video Surveillance
Paper
Novel Deep Feature Fusion Framework for Multi-Scenario Violence Detection
Paper
MEFF – A model ensemble feature fusion approach for tackling adversarial attacks in medical imaging
Paper
A Scalable and Generalised Deep Learning Framework for Anomaly Detection in Surveillance Videos
Paper
Employing Transfer Learning for Diagnosing COVID-19 Disease
Paper