M. A. CHYAD

Universiti Pendidikan Sultan Idris

H-index: 9

Asia-Malaysia

About M. A. CHYAD

M. A. CHYAD, With an exceptional h-index of 9 and a recent h-index of 9 (since 2020), a distinguished researcher at Universiti Pendidikan Sultan Idris, specializes in the field of Artificial Intelligence, Bioinformatics, Deep Learning, Telemedicine.

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

Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review

Machine learning-based imputation soft computing approach for large missing scale and non-reference data imputation

Helping doctors hasten COVID-19 treatment: Towards a rescue framework for the transfusion of best convalescent plasma to the most critical patients based on biological …

Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy …

M. A. CHYAD Information

University	Universiti Pendidikan Sultan Idris
Position	(UPSI)
Citations(all)	978
Citations(since 2020)	975
Cited By	212
hIndex(all)	9
hIndex(since 2020)	9
i10Index(all)	9
i10Index(since 2020)	9
Email	Access Email
University Profile Page	Universiti Pendidikan Sultan Idris
Google Scholar	View Google Scholar Profile

M. A. CHYAD Skills & Research Interests

Artificial Intelligence

Bioinformatics

Deep Learning

Telemedicine

Top articles of M. A. CHYAD

Title	Journal	Author(s)	Publication Date
Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review		Abdullah Alamoodi Bilal Zaidan Aws Zaidan Osamah Albahri Khaled Mohammed ...	2021
Machine learning-based imputation soft computing approach for large missing scale and non-reference data imputation	Chaos, Solitons & Fractals	AH Alamoodi BB Zaidan AA Zaidan OS Albahri Juliana Chen ...	2021/10/1
Helping doctors hasten COVID-19 treatment: Towards a rescue framework for the transfusion of best convalescent plasma to the most critical patients based on biological …	Computer methods and programs in biomedicine	Osamah Shihab Albahri Jameel R Al-Obaidi AA Zaidan Ahmed Shihab Albahri BB Zaidan ...	2020/11/1
Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy …		OS Albahri AA Zaidan AS Albahri BB Zaidan Karrar Hameed Abdulkareem ...	2020/10/1