Eyad Elyan
Impact in
- Health Informatics top 2%
- Artificial Intelligence in Healthcare and Education
- Artificial Intelligence top 1%
- Imbalanced Data Classification Techniques
- Reinforcement Learning in Robotics
- Machine Learning and Data Classification
Papers in
-
- Handwritten Text Recognition Techniques 12
- Advanced Neural Network Applications 8
- Medical Image Segmentation Techniques 5
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- Imbalanced Data Classification Techniques 17
- Machine Learning and Data Classification 8
- Reinforcement Learning in Robotics 5
- Co-authors
- Mohamed Medhat Gaber (12 shared papers)Chrisina Jayne (18 shared papers)Pattaramon Vuttipittayamongkol (10 shared papers)Khaled Fawagreh (5 shared papers)Ahmed majeed Hussein (5 shared papers)Carlos Francisco Moreno‐García (23 shared papers)Adamu Ali-Gombe (8 shared papers)Andrei Petrovski (2 shared papers)
- Journals
- Neural Computing and Applications (5 papers)Cognitive Computation (4 papers)Sensors (3 papers)Applied Artificial Intelligence (2 papers)Knowledge-Based Systems (2 papers)
- Partner nations
- United KingdomAustraliaThailand
In The Last Decade
Eyad Elyan
89 papers receiving 3.7k citations
Eyad Elyan's Hit Papers
Peers
Comparison fields: 5 of 173
- Health Informatics 108
- Artificial Intelligence 1.4k
- Computer Vision and Pattern Recognition 750
- Media Technology 117
- Health Information Management 113
Countries citing papers authored by Eyad Elyan
This map shows the geographic impact of Eyad Elyan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eyad Elyan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eyad Elyan more than expected).
Fields of papers citing papers by Eyad Elyan
This network shows the impact of papers produced by Eyad Elyan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eyad Elyan. The network helps show where Eyad Elyan may publish in the future.
Co-authors
The 25 scholars most cited alongside Eyad Elyan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Imitation Learning Hit paper breakdown → | 2017 | 749 |
| 2 | Random forests: from early developments to recent advancements Hit paper breakdown → | 2014 | 605 |
| 3 | 2019 | 240 | |
| 4 | 2020 | 208 | |
| 5 | 2019 | 148 | |
| 6 | 2022 | 107 | |
| 7 | 2021 | 104 | |
| 8 | 2018 | 102 | |
| 9 | 2019 | 92 | |
| 10 | 2023 | 87 | |
| 11 | 2020 | 86 | |
| 12 | DICAM: Deep Inception and Channel-wise Attention Modules for underwater image enhancement Hit paper breakdown → | 2024 | 78 |
| 13 | 2016 | 74 | |
| 14 | 2020 | 74 | |
| 15 | 2020 | 64 | |
| 16 | 2018 | 50 | |
| 17 | 2019 | 42 | |
| 18 | 2017 | 39 | |
| 19 | 2022 | 39 | |
| 20 | 2021 | 38 |
About Eyad Elyan
Eyad Elyan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Statistics and Probability and Ocean Engineering, having authored 95 papers that have together received 3.8k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (17 papers), Handwritten Text Recognition Techniques (12 papers), Machine Learning and Data Classification (8 papers), Advanced Neural Network Applications (8 papers), Statistical Methods and Inference (5 papers), Medical Image Segmentation Techniques (5 papers), Reinforcement Learning in Robotics (5 papers) and Biometric Identification and Security (4 papers). The work is most often cited by research in Health Informatics (108 citations), Artificial Intelligence (1.4k citations), Computer Vision and Pattern Recognition (750 citations), Media Technology (117 citations) and Health Information Management (113 citations). Eyad Elyan has collaborated with scholars based in United Kingdom, Australia and Thailand. Frequent co-authors include Mohamed Medhat Gaber, Chrisina Jayne, Pattaramon Vuttipittayamongkol, Khaled Fawagreh, Ahmed majeed Hussein, Carlos Francisco Moreno‐García, Adamu Ali-Gombe, Andrei Petrovski, Pamela Johnston and John P. Isaacs. Their work appears in journals such as Neural Computing and Applications, Cognitive Computation, Sensors, Applied Artificial Intelligence and Knowledge-Based Systems.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.