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Aboul Ella Hassanien

Aboul Ella Hassanien

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Computer Science
Egypt
2026

D-Index & Metrics

Computer Science

D-Index
92
Citations
35960
World Ranking
544
National Ranking
1

Research.com Recognitions

  • 2026 - Research.com Computer Science in Egypt Leader Award
  • 2025 - Research.com Computer Science in Egypt Leader Award
  • 2023 - Research.com Computer Science in Egypt Leader Award
  • 2022 - Research.com Computer Science in Egypt Leader Award

Overview

Aboul Ella Hassanien is affiliated with Cairo University in Egypt. Their research spans multiple fields, primarily focusing on computer science, engineering, and medicine.

Their work covers a diverse range of subfields, including:

  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Plant Science
  • Computational Theory and Mathematics

Hassanien has contributed extensively to research topics such as:

  • COVID-19 diagnosis using AI
  • Smart Agriculture and AI
  • AI in cancer detection
  • Metaheuristic Optimization Algorithms Research
  • Anomaly Detection Techniques and Applications
  • Spectroscopy and Chemometric Analyses
  • COVID-19 epidemiological studies

Several recent publications illustrate the scope of their work:

  • Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers-A study to show how popularity is affecting accuracy in social media (2020), Applied Soft Computing
  • A machine learning forecasting model for COVID-19 pandemic in India (2020), Stochastic Environmental Research and Risk Assessment
  • An optimized dense convolutional neural network model for disease recognition and classification in corn leaf (2020), Computers and Electronics in Agriculture
  • Forecasting Models for Coronavirus Disease (COVID-19): A Survey of the State-of-the-Art (2020), SN Computer Science
  • Deep learning in drug discovery: an integrative review and future challenges (2022), Artificial Intelligence Review

Frequent coauthors collaborating with Hassanien include:

  • Ashraf Darwish
  • Rizk M. Rizk-Allah
  • Václav Snåšel

Hassanien's work is commonly published in venues such as:

  • Neural Computing and Applications
  • Scientific Reports
  • IEEE Access
  • arXiv (Cornell University)
  • Applied Soft Computing

Their book publications are primarily with Springer International Publishing and Springer Nature. Titles include:

  • Recent Advances in Intelligent Systems and Smart Applications (2020)
  • Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges (2020)
  • The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success (2021)
  • Applications of Artificial Intelligence in Business, Education and Healthcare (2021)

Overall, Hassanien's research integrates applications of artificial intelligence across medical, agricultural, and computational domains, reflecting an interdisciplinary approach to emerging technological challenges and developments.

Best Publications

  • Binary grey wolf optimization approaches for feature selection

    E. Emary;Hossam M. Zawbaa;Aboul Ella Hassanien

  • Linear discriminant analysis: A detailed tutorial

    Alaa Tharwat;Alaa Tharwat;Tarek Gaber;Abdelhameed Ibrahim;Aboul Ella Hassanien

  • Wearable and Implantable Wireless Sensor Network Solutions for Healthcare Monitoring

    Ashraf Darwish;Aboul Ella Hassanien

  • Parameter estimation of photovoltaic cells using an improved chaotic whale optimization algorithm

    Diego Oliva;Diego Oliva;Mohamed Abd El Aziz;Mohamed Abd El Aziz;Aboul Ella Hassanien

  • Whale Optimization Algorithm and Moth-Flame Optimization for multilevel thresholding image segmentation

    Mohamed Abd El Aziz;Ahmed A. Ewees;Aboul Ella Hassanien

  • Binary ant lion approaches for feature selection

    E. Emary;Hossam M. Zawbaa;Aboul Ella Hassanien

  • Feature selection via a novel chaotic crow search algorithm

    Gehad Ismail Sayed;Aboul Ella Hassanien;Ahmad Taher Azar;Ahmad Taher Azar

  • The impact of the hybrid platform of internet of things and cloud computing on healthcare systems: opportunities, challenges, and open problems

    Ashraf Darwish;Ashraf Darwish;Aboul Ella Hassanien;Mohamed Elhoseny;Mohamed Elhoseny;Arun Kumar Sangaiah

  • Sentiment Analysis of COVID-19 tweets by Deep Learning Classifiers-A study to show how popularity is affecting accuracy in social media.

    Koyel Chakraborty;Surbhi Bhatia;Siddhartha Bhattacharyya;Jan Platos

  • Integrating blockchain and the internet of things in precision agriculture: Analysis, opportunities, and challenges

    Mohamed Torky;Aboul Ella Hassanein

  • An optimized dense convolutional neural network model for disease recognition and classification in corn leaf

    Abdul Waheed;Muskan Goyal;Deepak Gupta;Ashish Khanna

  • Forecasting Models for Coronavirus Disease (COVID-19): A Survey of the State-of-the-Art

    Gitanjali Rahul Shinde;Asmita B. Kalamkar;Parikshit N. Mahalle;Parikshit N. Mahalle;Nilanjan Dey

  • Internet of Things and Big Data Analytics Toward Next-Generation Intelligence

    Nilanjan Dey;Aboul Ella Hassanien;Chintan Bhatt;Amira S. Ashour

  • Bezier Curve Based Path Planning in a Dynamic Field using Modified Genetic Algorithm

    Mohamed Elhoseny;Mohamed Elhoseny;Alaa Tharwat;Alaa Tharwat;Aboul Ella Hassanien

  • Scheduling jobs on computational grids using a fuzzy particle swarm optimization algorithm

    Hongbo Liu;Ajith Abraham;Aboul Ella Hassanien

  • An optimized model based on convolutional neural networks and orthogonal learning particle swarm optimization algorithm for plant diseases diagnosis

    Ashraf Darwish;Dalia Ezzat;Aboul Ella Hassanien

  • Chaotic dragonfly algorithm: an improved metaheuristic algorithm for feature selection

    Gehad Ismail Sayed;Alaa Tharwat;Alaa Tharwat;Aboul Ella Hassanien

  • Hybrid Intelligent Intrusion Detection Scheme

    Mostafa A. Salama;Heba F. Eid;Rabie A. Ramadan;Ashraf Darwish

  • Intelligent Bézier curve-based path planning model using Chaotic Particle Swarm Optimization algorithm

    Alaa Tharwat;Alaa Tharwat;Mohamed Elhoseny;Mohamed Elhoseny;Aboul Ella Hassanien;Thomas Gabel

  • A random forest classifier for lymph diseases

    Ahmad Taher Azar;Hanaa Ismail Elshazly;Aboul Ella Hassanien;Abeer Mohamed Elkorany

Frequent Co-Authors

Mohamed Elhoseny
Mohamed Elhoseny University of Sharjah
Alaa Tharwat
Alaa Tharwat Frankfurt University of Applied Sciences
Vaclav Snasel
Vaclav Snasel VSB – Technical University of Ostrava
Ajith Abraham
Ajith Abraham Sai University
Hossam M. Zawbaa
Hossam M. Zawbaa Beni-Suef University
Essam H. Houssein
Essam H. Houssein Minia University
Gerald Schaefer
Gerald Schaefer Loughborough University
Nilanjan Dey
Nilanjan Dey Techno International New Town
Tai-hoon Kim
Tai-hoon Kim Beijing Jiaotong University
Diego Oliva
Diego Oliva University of Guadalajara

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