Wael Al Etaiwi

About Wael Al Etaiwi

Wael Al Etaiwi, With an exceptional h-index of 13 and a recent h-index of 11 (since 2020), a distinguished researcher at Princess Sumaya University for Technology, specializes in the field of Business Information Technology, Artificial Intelligent, Data Mining, Natural Language Processing.

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

Predicting Wheat Supply and Demand: A Systematic Literature Review of Machine Learning Approaches

Sentiment analysis and emotion detection of post-COVID educational Tweets: Jordan case

Semanticgraph2vec: Semantic graph embedding for text representation

Predicting Students' Performance Using Machine Learning

EGPBD: An Event-based Gold Price Benchmark Dataset

SemG-TS: Abstractive arabic text summarization using semantic graph embedding

Empirical Evaluation of Machine Learning Classification Algorithms for Detecting COVID-19 Fake News.

The accuracy of ai-based automatic proctoring in online exams

Wael Al Etaiwi Information

University

Position

___

Citations(all)

716

Citations(since 2020)

573

Cited By

273

hIndex(all)

13

hIndex(since 2020)

11

i10Index(all)

15

i10Index(since 2020)

13

Email

University Profile Page

Princess Sumaya University for Technology

Google Scholar

View Google Scholar Profile

Wael Al Etaiwi Skills & Research Interests

Business Information Technology

Artificial Intelligent

Data Mining

Natural Language Processing

Top articles of Wael Al Etaiwi

Title

Journal

Author(s)

Publication Date

Predicting Wheat Supply and Demand: A Systematic Literature Review of Machine Learning Approaches

Dalin Almbaidin

Wael Etaiwi

2023/7/19

Sentiment analysis and emotion detection of post-COVID educational Tweets: Jordan case

Social Network Analysis and Mining

Evon Qaqish

Aseel Aranki

Wael Etaiwi

2023/3/2

Semanticgraph2vec: Semantic graph embedding for text representation

Array

Wael Etaiwi

Arafat Awajan

2023/3/1

Predicting Students' Performance Using Machine Learning

Sabreen Abulhaija

Shyma Hattab

Wael Etaiwi

2023/8/9

EGPBD: An Event-based Gold Price Benchmark Dataset

Farah Mansour

Wael Etaiwi

2023/7/19

SemG-TS: Abstractive arabic text summarization using semantic graph embedding

Mathematics

Wael Etaiwi

Arafat Awajan

2022/9/6

Empirical Evaluation of Machine Learning Classification Algorithms for Detecting COVID-19 Fake News.

International Journal of Advances in Soft Computing & Its Applications

Hiba Alsaidi

Wael Etaiwi

2022/3/1

The accuracy of ai-based automatic proctoring in online exams

Electronic Journal of e-Learning

Adiy Tweissi

Wael Al Etaiwi

Dalia Al Eisawi

2022/10/11

Mobile Applications Rating Performance: A Survey.

International Journal of Interactive Mobile Technologies

Sabreen Abulhaija

Shayma Hattab

Ahmad Abdeen

Wael Etaiwi

2022/10/1

Recurrent neural network techniques: Emphasis on use in neural machine translation

Informatica

Dima Suleiman

Wael Etaiwi

Arafat Awajan

2021/12/23

Deep learning based techniques for sentiment analysis: A survey

Wael Etaiwi

Dima Suleiman

Arafat Awajan

2021/12/23

Graph-based Arabic text semantic representation

Information Processing & Management

Wael Etaiwi

Arafat Awajan

2020/5/1

Empirical Evaluation of the Classification of Deep Learning under Big Data Processing Platforms

International Journal

Dima Suleiman

Malek Al-Zewairi

Wael Etaiwi

Ghazi Al-Naymat

2020/9

See List of Professors in Wael Al Etaiwi University(Princess Sumaya University for Technology)

Co-Authors

H-index: 22
Arafat Awajan

Arafat Awajan

Princess Sumaya University for Technology

H-index: 20
Sara Tedmori

Sara Tedmori

Princess Sumaya University for Technology

H-index: 20
Amjad Hudaib

Amjad Hudaib

University of Jordan

H-index: 16
Sufyan Almajali

Sufyan Almajali

Princess Sumaya University for Technology

H-index: 14
Dr. Dima Suleiman

Dr. Dima Suleiman

University of Jordan

H-index: 9
Mariam Mohammad Biltawi

Mariam Mohammad Biltawi

Princess Sumaya University for Technology

academic-engine