Yousaf Saeed
Impact in
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- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
- Privacy-Preserving Technologies in Data
Papers in
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- Anomaly Detection Techniques and Applications 3
- Machine Learning and ELM 3
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- Opportunistic and Delay-Tolerant Networks 5
- Caching and Content Delivery 4
- Co-authors
- Asim Zeb (10 shared papers)Sagheer Abbas (5 shared papers)Mahdi Zareei (6 shared papers)Abdur Rehman (3 shared papers)M. Irfan Uddin (3 shared papers)Ehab Mahmoud Mohamed (4 shared papers)Muhammad Adnan Khan (3 shared papers)Taj Rahman (2 shared papers)
- Journals
- IEEE Access (9 papers)Sensors (2 papers)Computational Intelligence and Neuroscience (2 papers)Scientific Reports (1 paper)Applied Sciences (1 paper)
- Partner nations
- PakistanSaudi ArabiaChina
In The Last Decade
Yousaf Saeed
34 papers receiving 725 citations
Peers
Comparison fields: 5 of 101
- Computer Networks and Communications 234
- Artificial Intelligence 223
- Health Information Management 28
- Information Systems 142
- Management Information Systems 42
Countries citing papers authored by Yousaf Saeed
This map shows the geographic impact of Yousaf Saeed'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 Yousaf Saeed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yousaf Saeed more than expected).
Fields of papers citing papers by Yousaf Saeed
This network shows the impact of papers produced by Yousaf Saeed. 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 Yousaf Saeed. The network helps show where Yousaf Saeed may publish in the future.
Co-authors
The 25 scholars most cited alongside Yousaf Saeed, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 155 | |
| 2 | 2020 | 102 | |
| 3 | 2020 | 76 | |
| 4 | 2020 | 65 | |
| 5 | 2020 | 59 | |
| 6 | 2023 | 54 | |
| 7 | 2020 | 39 | |
| 8 | 2023 | 21 | |
| 9 | 2021 | 21 | |
| 10 | 2019 | 19 | |
| 11 | 2021 | 19 | |
| 12 | 2020 | 16 | |
| 13 | 2020 | 14 | |
| 14 | 2023 | 11 | |
| 15 | 2022 | 11 | |
| 16 | 2020 | 11 | |
| 17 | 2020 | 10 | |
| 18 | 2024 | 10 | |
| 19 | 2018 | 10 | |
| 20 | 2025 | 6 |
About Yousaf Saeed
Yousaf Saeed is a scholar working on Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 37 papers that have together received 769 indexed citations. Recurring topics across this work include Vehicular Ad Hoc Networks (VANETs) (7 papers), Opportunistic and Delay-Tolerant Networks (5 papers), Caching and Content Delivery (4 papers), Anomaly Detection Techniques and Applications (3 papers), COVID-19 diagnosis using AI (3 papers), Machine Learning and ELM (3 papers), Autonomous Vehicle Technology and Safety (2 papers) and Blockchain Technology Applications and Security (2 papers). The work is most often cited by research in Computer Networks and Communications (234 citations), Artificial Intelligence (223 citations), Health Information Management (28 citations), Information Systems (142 citations) and Management Information Systems (42 citations). Yousaf Saeed has collaborated with scholars based in Pakistan, Saudi Arabia and China. Frequent co-authors include Asim Zeb, Sagheer Abbas, Mahdi Zareei, Abdur Rehman, M. Irfan Uddin, Ehab Mahmoud Mohamed, Muhammad Adnan Khan, Taj Rahman, Muhammad Adnan Khan and Abid Ali. Their work appears in journals such as IEEE Access, Sensors, Computational Intelligence and Neuroscience, Scientific Reports and Applied Sciences.
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.