Aboul Ella Otifey Hassanien

Artificial Intelligence · 2011–2022

A researcher in the Science corpus: 9 papers; trusts 57 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 103 citations into it; #8,761 of 35,345 by trust here, #10,207 by citations
• Computational Theory and Mathematics — 58 citations into it; #2,659 of 12,182 by trust here, #2,629 by citations
• Molecular Biology — 53 citations into it
• Computer Vision and Pattern Recognition — 50 citations into it
• Computer Networks and Communications — 39 citations into it
• Electrical and Electronic Engineering — 33 citations into it
• Biomedical Engineering — 28 citations into it; #7,560 of 10,734 by trust here, #8,044 by citations
• Information Systems — 20 citations into it

Whom Aboul Ella Otifey Hassanien trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Xin-She Yang
2. Nabil Ahmed Sultan
3. Esmat Rashedi
4. Amir H. Gandomi
5. Eric R. Ziegel
6. Ali Kaveh
7. Ron Kohavi
8. Seyed Mohammad Mirjalili
9. Chris Otto
10. Alper Ünler

Who trusts Aboul Ella Otifey Hassanien overall

1. Tansel Dökeroğlu
2. Sankalap Arora
3. Ali Asghar Heidari
4. Hossam Faris
5. Majdi M. Mafarja
6. Ayça Deniz
7. Priyanka Anand

Papers from Aboul Ella Otifey Hassanien's perspective

Ordered by how strongly the researchers Aboul Ella Otifey Hassanien trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Going deeper with convolutions
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Binary grey wolf optimization approaches for feature selection (2016) — 1,286 citations
• Binary ant lion approaches for feature selection (2016) — 436 citations
• Parameter estimation of photovoltaic cells using an improved chaotic whale optimization algorithm (2017) — 566 citations
• Feature selection via a novel chaotic crow search algorithm (2017) — 434 citations
• Deep learning in drug discovery: an integrative review and future challenges (2022) — 302 citations
• An optimized dense convolutional neural network model for disease recognition and classification in corn leaf (2020) — 312 citations
• Linear discriminant analysis: A detailed tutorial (2017) — 890 citations
• The impact of the hybrid platform of internet of things and cloud computing on healthcare systems: opportunities, challenges, and open problems (2017) — 372 citations
• Wearable and Implantable Wireless Sensor Network Solutions for Healthcare Monitoring (2011) — 568 citations