Shaila Afrin
Impact in
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- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
Papers in
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- IoT and Edge/Fog Computing 7
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- Blockchain Technology Applications and Security 6
- Co-authors
- Md. Sakib Bin Alam (8 shared papers)Shams Forruque Ahmed (9 shared papers)Amir H. Gandomi (8 shared papers)Sabiha Jannat Rafa (6 shared papers)Nazifa Rafa (1 shared paper)Maliha Kabir (5 shared papers)S. M. Muyeen (3 shared papers)GM Shafiullah (1 shared paper)
- Journals
- IEEE Access (2 papers)Applied Intelligence (1 paper)Wireless Networks (1 paper)Computers in Industry (1 paper)Digital Communications and Networks (1 paper)
- Partner nations
- BangladeshAustraliaHungary
In The Last Decade
Shaila Afrin
8 papers receiving 273 citations
Shaila Afrin's Hit Papers
Peers
Comparison fields: 5 of 66
- Computer Networks and Communications 102
- Health Informatics 5
- Signal Processing 30
- Health Information Management 11
- Industrial and Manufacturing Engineering 24
Countries citing papers authored by Shaila Afrin
This map shows the geographic impact of Shaila Afrin'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 Shaila Afrin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaila Afrin more than expected).
Fields of papers citing papers by Shaila Afrin
This network shows the impact of papers produced by Shaila Afrin. 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 Shaila Afrin. The network helps show where Shaila Afrin may publish in the future.
Co-authors
The 12 scholars most cited alongside Shaila Afrin, 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 | Insights into Internet of Medical Things (IoMT): Data fusion, security issues and potential solutions Hit paper breakdown → | 2023 | 121 |
| 2 | 2023 | 79 | |
| 3 | Toward a Secure 5G-Enabled Internet of Things: A Survey on Requirements, Privacy, Security, Challenges, and Opportunities Hit paper breakdown → | 2024 | 57 |
| 4 | 2025 | 15 | |
| 5 | 2025 | 3 | |
| 6 | 2025 | 2 | |
| 7 | 2025 | 2 | |
| 8 | 2022 | 2 | |
| 9 | 2025 | 0 | |
| 10 | 2024 | 0 |
About Shaila Afrin
Shaila Afrin is a scholar working on Computer Networks and Communications, Information Systems, Radiology, Nuclear Medicine and Imaging, Neurology and Industrial and Manufacturing Engineering, having authored 10 papers that have together received 281 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (7 papers), Blockchain Technology Applications and Security (6 papers), Brain Tumor Detection and Classification (2 papers), COVID-19 diagnosis using AI (2 papers), Digital Transformation in Industry (2 papers), Artificial Intelligence in Healthcare and Education (1 paper), Glioma Diagnosis and Treatment (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Computer Networks and Communications (102 citations), Health Informatics (5 citations), Signal Processing (30 citations), Health Information Management (11 citations) and Industrial and Manufacturing Engineering (24 citations). Shaila Afrin has collaborated with scholars based in Bangladesh, Australia and Hungary. Frequent co-authors include Md. Sakib Bin Alam, Shams Forruque Ahmed, Amir H. Gandomi, Sabiha Jannat Rafa, Nazifa Rafa, Maliha Kabir, S. M. Muyeen, GM Shafiullah, Aanushka Mehjabin and Mohammad Reza Nikoo. Their work appears in journals such as IEEE Access, Applied Intelligence, Wireless Networks, Computers in Industry and Digital Communications and Networks.
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.