Eyad Elyan
Impact in
- Health Informatics top 2%
- Artificial Intelligence top 1%
- Imbalanced Data Classification Techniques
- Anomaly Detection Techniques and Applications
- Reinforcement Learning in Robotics
- Machine Learning and Data Classification
Papers in
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- Image Processing and 3D Reconstruction 7
- Handwritten Text Recognition Techniques 7
- Face recognition and analysis 5
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- Imbalanced Data Classification Techniques 8
- Machine Learning and Data Classification 7
- AI in cancer detection 6
- Co-authors
- Mohamed Medhat Gaber (7 shared papers)Chrisina Jayne (14 shared papers)Pattaramon Vuttipittayamongkol (8 shared papers)Khaled Fawagreh (1 shared paper)Ahmed Hussein (3 shared papers)Carlos Francisco Moreno‐García (16 shared papers)Andrei Petrovski (1 shared paper)John P. Isaacs (5 shared papers)
- Journals
- Neural Computing and Applications (5 papers)Cognitive Computation (4 papers)Sensors (3 papers)Information Sciences (2 papers)Knowledge-Based Systems (2 papers)
- Partner nations
- United KingdomThailandAustralia
In The Last Decade
Eyad Elyan
67 papers receiving 2.8k citations
Eyad Elyan's Hit Papers
Peers
Comparison fields: 5 of 191
- Health Informatics 67
- Artificial Intelligence 1.2k
- Computer Vision and Pattern Recognition 734
- Health Information Management 131
- Media Technology 163
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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Imitation Learning Hit paper breakdown → | 2017 | 572 |
| 2 | Random forests: from early developments to recent advancements Hit paper breakdown → | 2014 | 516 |
| 3 | 2019 | 213 | |
| 4 | 2020 | 171 | |
| 5 | 2019 | 138 | |
| 6 | 2021 | 90 | |
| 7 | 2022 | 81 | |
| 8 | 2019 | 76 | |
| 9 | 2023 | 75 | |
| 10 | 2018 | 73 | |
| 11 | 2020 | 67 | |
| 12 | 2020 | 67 | |
| 13 | 2016 | 65 | |
| 14 | 2020 | 58 | |
| 15 | DICAM: Deep Inception and Channel-wise Attention Modules for underwater image enhancement Hit paper breakdown → | 2024 | 49 |
| 16 | 2019 | 43 | |
| 17 | 2021 | 37 | |
| 18 | 2017 | 30 | |
| 19 | 2022 | 29 | |
| 20 | 2018 | 27 |
About Eyad Elyan
Eyad Elyan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Radiology, Nuclear Medicine and Imaging and Information Systems, having authored 71 papers that have together received 2.9k indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (8 papers), Image Processing and 3D Reconstruction (7 papers), Machine Learning and Data Classification (7 papers), Electricity Theft Detection Techniques (7 papers), Handwritten Text Recognition Techniques (7 papers), AI in cancer detection (6 papers), COVID-19 diagnosis using AI (5 papers) and Face recognition and analysis (5 papers). The work is most often cited by research in Health Informatics (67 citations), Artificial Intelligence (1.2k citations), Computer Vision and Pattern Recognition (734 citations), Health Information Management (131 citations) and Media Technology (163 citations). Eyad Elyan has collaborated with scholars based in United Kingdom, Thailand and Australia. Frequent co-authors include Mohamed Medhat Gaber, Chrisina Jayne, Pattaramon Vuttipittayamongkol, Khaled Fawagreh, Ahmed Hussein, Carlos Francisco Moreno‐García, Andrei Petrovski, John P. Isaacs, Jinchang Ren and Isabella Frigerio. Their work appears in journals such as Neural Computing and Applications, Cognitive Computation, Sensors, Information Sciences 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.