Mina Younan
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- IoT and Edge/Fog Computing 7
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research 3
- Data Stream Mining Techniques 3
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- Context-Aware Activity Recognition Systems 2
- Information Systems top 10%
- Blockchain Technology Applications and Security 3
- Cloud Computing and Resource Management 2
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- Time Series Analysis and Forecasting 3
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- Artificial Intelligence in Healthcare 1
- Co-authors
- Essam H. HousseinMohamed ElhosenyAbdelmgeid A. AliMohamed Abdel HameedMarwa M. EmamAboul Ella HassanienSherif KhattabWaleed M. Mohamed
- Cited by
- Computer Networks and CommunicationsArtificial IntelligenceIndustrial and Manufacturing Engineering
- Journals
- Scientific Reports (1 paper)IEEE Internet of Things Journal (2 papers)Measurement (1 paper)
- Partner nations
- EgyptUnited Arab EmiratesChina
In The Last Decade
Mina Younan
14 papers receiving 383 citations
Peers
Comparison fields: 5 of 83
- Computer Networks and Communications 135
- Artificial Intelligence 148
- Industrial and Manufacturing Engineering 41
- Computer Vision and Pattern Recognition 72
- Information Systems 70
Countries citing papers authored by Mina Younan
This map shows the geographic impact of Mina Younan'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 Mina Younan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mina Younan more than expected).
Fields of papers citing papers by Mina Younan
This network shows the impact of papers produced by Mina Younan. 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 Mina Younan. The network helps show where Mina Younan may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Mina Younan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 3 | |
| 4 | 2024 | 19 | |
| 5 | 2024 | 19 | |
| 6 | 2022 | 119 | |
| 7 | 2021 | 10 | |
| 8 | 2021 | 9 | |
| 9 | 2021 | 10 | |
| 10 | 2020 | 16 | |
| 11 | 2020 | 0 | |
| 12 | 2019 | 145 | |
| 13 | 2019 | 26 | |
| 14 | 2016 | 8 | |
| 15 | An Integrated Testbed Environment for the Web of Things | 2015 | 3 |
| 16 | Evaluation of an Integrated Testbed Environment for the Web of Things | 2015 | 4 |
About Mina Younan
Mina Younan is a scholar working on Computer Networks and Communications, Signal Processing and Information Systems, having authored 16 papers that have together received 393 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Metaheuristic Optimization Algorithms Research (3 papers), Time Series Analysis and Forecasting (3 papers), Blockchain Technology Applications and Security (3 papers), Data Stream Mining Techniques (3 papers), Cloud Computing and Resource Management (2 papers), Context-Aware Activity Recognition Systems (2 papers) and Artificial Intelligence in Healthcare (1 paper). The work is most often cited by research in Computer Networks and Communications (135 citations), Artificial Intelligence (148 citations) and Industrial and Manufacturing Engineering (41 citations). Mina Younan has collaborated with scholars based in Egypt, United Arab Emirates and China. Frequent co-authors include Essam H. Houssein, Mohamed Elhoseny, Abdelmgeid A. Ali, Mohamed Abdel Hameed, Marwa M. Emam, Aboul Ella Hassanien, Sherif Khattab, Waleed M. Mohamed, Ibrahim A. Ibrahim and Abdelmgeid A. Ali. Their work appears in journals such as Scientific Reports, IEEE Internet of Things Journal and Measurement.
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.