ScholarIQanswers from OpenAlex & ORCID
Muhammad Kashif Shahzad
ResearcherPublications, citations & collaboration network
Muhammad Kashif Shahzad is a researcher indexed in ScholarIQ from OpenAlex & ORCID.
How many works does Muhammad Kashif Shahzad have?
ScholarIQindexed works
Muhammad Kashif Shahzad has 42 works in the ScholarIQ index. The count is the OpenAlex total, not the number of papers listed on this page.
How many citations does Muhammad Kashif Shahzad have?
ScholarIQcitation count
Muhammad Kashif Shahzad has 403 citations in the OpenAlex counts ScholarIQ stores.
What is the h-index of Muhammad Kashif Shahzad?
ScholarIQh-index
Muhammad Kashif Shahzad has an h-index of 9 in OpenAlex.
What is the i10-index of Muhammad Kashif Shahzad?
ScholarIQi10-index
Muhammad Kashif Shahzad has an i10-index of 9 in OpenAlex.
What is the ORCID of Muhammad Kashif Shahzad?
ScholarIQorcid
The ORCID for Muhammad Kashif Shahzad is on the source record.
What is the OpenAlex record for Muhammad Kashif Shahzad?
ScholarIQopenalex
The OpenAlex for Muhammad Kashif Shahzad is on the source record.
What are the most-cited papers on Muhammad Kashif Shahzad?
ScholarIQmost cited works
A Deep Learning Approach Based on Explainable Artificial Intelligence for Skin Lesion Classification
Natasha Nigar, Muhammad Umar, Muhammad Kashif Shahzad, Shahid Islam, Douhadji Abalo
Staff retention: a factor of sustainable competitive advantage in the higher education sector of Pakistan
Akasha Butt, Rab Nawaz Lodhi, Muhammad Kashif Shahzad
Failure Prediction Methodology for Improved Proactive Maintenance using Bayesian Approach ★ ★The authors gratefully acknowledge STMicroelectronics for their support and provision of data for TT case study. The authors also acknowledge European project INTEGRATE and region RhoneAlpes for ongoing Research.
Asma Abu-Samah, Muhammad Kashif Shahzad, Éric Zamaï, Anis Ben Said
IoMT Meets Machine Learning: From Edge to Cloud Chronic Diseases Diagnosis System
Natasha Nigar, Abdul Jaleel, Shahid Islam, Muhammad Kashif Shahzad, Emmanuel Ampoma Affum
Experts’ knowledge renewal and maintenance actions effectiveness in high-mix low-volume industries, using Bayesian approach
Anis Ben Said, Muhammad Kashif Shahzad, Éric Zamaï, Stéphane Hubac, Michel Tollenaere