ProfessorsProfessors of Wentworth Institute of TechnologyYetunde Folajimi

Yetunde Folajimi

Wentworth Institute of Technology

H-index: 7

North America-United States

About Yetunde Folajimi

Yetunde Folajimi, With an exceptional h-index of 7 and a recent h-index of 5 (since 2020), a distinguished researcher at Wentworth Institute of Technology, specializes in the field of Artificial Intelligence, Games, E-Learning, Adaptive & Recommender Systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Video Game to Teach Fluid Mechanics (Work in Progress)

Raising Digitally Skillful Students: A study of Resource Availability, Teachers’ TPACK and Secondary School Students’ Attitude to Computer Studies

An affective learning-based system for diagnosis and personalized management of diabetes mellitus

On collaborative filtering model optimised with multi-item attribute information space for enhanced recommendation accuracy

Yetunde Folajimi Information

University	Wentworth Institute of Technology
Position	Associate Professor
Citations(all)	1774
Citations(since 2020)	1390
Cited By	860
hIndex(all)	7
hIndex(since 2020)	5
i10Index(all)	5
i10Index(since 2020)	5
Email	Access Email
University Profile Page	Wentworth Institute of Technology
Google Scholar	View Google Scholar Profile

Yetunde Folajimi Skills & Research Interests

Artificial Intelligence

Games

E-Learning

Adaptive & Recommender Systems

Top articles of Yetunde Folajimi

Title	Journal	Author(s)	Publication Date
Video Game to Teach Fluid Mechanics (Work in Progress)		Hadi Kazemiroodsari Yetunde Folajimi	2022/8/23
Raising Digitally Skillful Students: A study of Resource Availability, Teachers’ TPACK and Secondary School Students’ Attitude to Computer Studies		Israel Olasunkanmi Yetunde Folajimi Olusegun Aladeboyeje	2022/6/20
An affective learning-based system for diagnosis and personalized management of diabetes mellitus	Future Generation Computer Systems	Olatunji Mumini Omisore Bolanle Adefowoke Ojokoh Asegunoluwa Eunice Babalola Tobore Igbe Yetunde Folajimi ...	2021/4/1
On collaborative filtering model optimised with multi-item attribute information space for enhanced recommendation accuracy	International Journal of Intelligent Systems Technologies and Applications	Folasade O Isinkaye Yetunde O Folajimi Adesesan B Adeyemo	2020