Hassan Najadat

About Hassan Najadat

Hassan Najadat, With an exceptional h-index of 15 and a recent h-index of 12 (since 2020), a distinguished researcher at Jordan University of Science and Technology, specializes in the field of Data Science, Data Envelopment Analysis, Data Mining, Artificial Intelligence.

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

Detection of Hateful Social Media Content for Arabic Language

Overview of convolutional neural networks architectures for brain tumor segmentation.

Aspect-based sentiment analysis for arabic food delivery reviews

Malware classification approaches utilizing binary and text encoding of permissions

Predictive model of psychoactive drugs consumption using classification machine learning algorithms

Assessing the Effectiveness of COVID-19/SARS-CoV-2 Vaccinations in Terms of Mortality Rates

Utilizing Machine Learning Techniques to Predict Adverse Reactions to COVID-19 Vaccines in Individuals with Allergies

Fake news detection for Arabic headlines-articles news data using deep learning.

Hassan Najadat Information

University

Position

Associate Professor of Computer Science

Citations(all)

1082

Citations(since 2020)

723

Cited By

654

hIndex(all)

15

hIndex(since 2020)

12

i10Index(all)

22

i10Index(since 2020)

17

Email

University Profile Page

Jordan University of Science and Technology

Google Scholar

View Google Scholar Profile

Hassan Najadat Skills & Research Interests

Data Science

Data Envelopment Analysis

Data Mining

Artificial Intelligence

Top articles of Hassan Najadat

Title

Journal

Author(s)

Publication Date

Detection of Hateful Social Media Content for Arabic Language

ACM Transactions on Asian and Low-Resource Language Information Processing

Rogayah M Al-Ibrahim

Mostafa Z Ali

Hassan M Najadat

2023/9/22

Overview of convolutional neural networks architectures for brain tumor segmentation.

International Journal of Electrical & Computer Engineering (2088-8708)

Ahmad Al-Shboul

Maha Gharibeh

Hassan Najadat

Mostafa Ali

Mwaffaq El-Heis

2023/8/1

Aspect-based sentiment analysis for arabic food delivery reviews

ACM Transactions on Asian and Low-Resource Language Information Processing

Ibrahim AL-JARRAH

AHMAD M Mustafa

Hassan Najadat

2023

Malware classification approaches utilizing binary and text encoding of permissions

International Journal of Information Security

Mo’ath Zyout

Raed Shatnawi

Hassan Najadat

2023

Predictive model of psychoactive drugs consumption using classification machine learning algorithms

Applied and Computational Engineering

Mothanna Almahmood

Hassan Najadat

Dalia Alzu’bi

Laith Abualigah

Raed Abu Zitar

...

2023

Assessing the Effectiveness of COVID-19/SARS-CoV-2 Vaccinations in Terms of Mortality Rates

Tariq Sha'ban

Hamzeh Hailat

Awes Nawafleh

Hassan Najadat

2023/11/21

Utilizing Machine Learning Techniques to Predict Adverse Reactions to COVID-19 Vaccines in Individuals with Allergies

Rama Othman Irsheidat

Saja Nakhleh

Raneem Mahmoud Alruosan

Hassan Najadat

2023/11/21

Fake news detection for Arabic headlines-articles news data using deep learning.

International Journal of Electrical & Computer Engineering (2088-8708)

Hassan Najadat

Mais Tawalbeh

Rasha Awawdeh

2022/8/1

Detecting Arabic spam reviews in social networks based on classification algorithms

Transactions on Asian and Low-Resource Language Information Processing

Hassan Najadat

Mohammad A Alzubaidi

Islam Qarqaz

2021/11/1

A review of website evaluation using web diagnostic tools and data envelopment analysis

Hassan Najadat

Amer Al-Badarneh

Sawsan Alodibat

2021/2/1

Classification of application reviews into software maintenance tasks using data mining techniques

Software Quality Journal

Assem Al-Hawari

Hassan Najadat

Raed Shatnawi

2021/9

Investigating the Classification of Human Recognition on Heterogeneous Devices Using Recurrent Neural Networks

Sustainable and Energy Efficient Computing Paradigms for Society

Hassan Najadat

Maad Ebrahim

Mohammad Alsmirat

Obadah Shatnawi

Mohammed Nour Al-Rashdan

...

2021

Prediction of Covid-19 patients states using Data mining techniques

Tibra Alsmadi

Nour Alqudah

Hassan Najadat

2021/7/14

A new approach for detecting eosinophils in the gastrointestinal tract and diagnosing eosinophilic colitis.

Int. Arab J. Inf. Technol.

Amal Alzu'bi

Hassan Najadat

Walaa Eyadat

Alia Al-Mohtaseb

Hussam Haddad

2021/7/1

Attitudes evaluation toward covid-19 pandemic: An application of twitter sentiment analysis and latent dirichlet allocation

Saeed Shurrab

Yazan Shannak

Abdulkarem Almshnanah

Huthaifa Khazaleh

Hassan Najadat

2021/5/24

Sentiment analysis of arabic tweets about violence against women using machine learning

Moath Alzyout

Emran AL Bashabsheh

Hassan Najadat

Ahmad Alaiad

2021/5/24

Classification on Web Application Requests

Samar Gharibeh

Shatha Melhem

Hassan Najadat

2020/4/7

Overview of positron emission tomography (PET) for brain functions degeneration classification

Sanaa Abu Alasal

Emran AL Bashabsheh

Hassan Najadat

2020/4/7

Integration of data envelopment analysis and clustering methods

Journal of Information & Knowledge Management

Hassan Najadat

Ahmad Alaiad

Sanaa Abu Alasal

Ghadeer Anwar Mrayyan

Izzat Alsmadi

2020/3/11

Performance evaluation of industrial firms using DEA and DECORATE ensemble method.

Int. Arab J. Inf. Technol.

Hassan Najadat

Ibrahim Al-Daher

Khaled Alkhatib

2020/9/1

See List of Professors in Hassan Najadat University(Jordan University of Science and Technology)

Co-Authors

H-index: 29
Mohammed N. Al-Kabi

Mohammed N. Al-Kabi

Yarmouk University

H-index: 18
Prof.Ismail Hmeidi

Prof.Ismail Hmeidi

Jordan University of Science and Technology

H-index: 17
Amal Shehan Perera

Amal Shehan Perera

University of Moratuwa

H-index: 14
Raed Shatnawi

Raed Shatnawi

Jordan University of Science and Technology

H-index: 5
Amal Alzu'bi

Amal Alzu'bi

Jordan University of Science and Technology

H-index: 5
Mohammed I. Khaleel

Mohammed I. Khaleel

Iowa State University

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