Shaila Afrin

524 total citations · 2 hit papers
10 papers, 243 citations indexed

About

Shaila Afrin is a scholar working on Computer Networks and Communications, Information Systems and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shaila Afrin has authored 10 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 6 papers in Information Systems and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shaila Afrin's work include IoT and Edge/Fog Computing (7 papers), Blockchain Technology Applications and Security (6 papers) and COVID-19 diagnosis using AI (2 papers). Shaila Afrin is often cited by papers focused on IoT and Edge/Fog Computing (7 papers), Blockchain Technology Applications and Security (6 papers) and COVID-19 diagnosis using AI (2 papers). Shaila Afrin collaborates with scholars based in Bangladesh, Australia and Hungary. Shaila Afrin's co-authors include Shams Forruque Ahmed, Md. Sakib Bin Alam, Amir H. Gandomi, Nazifa Rafa, Maliha Kabir, S. M. Muyeen, GM Shafiullah, Aanushka Mehjabin, Zulfikar Alom and Mohammad Reza Nikoo and has published in prestigious journals such as IEEE Access, Information Fusion and Computers in Industry.

In The Last Decade

Shaila Afrin

8 papers receiving 231 citations

Hit Papers

Insights into Internet of Medical Things (IoMT): Data fus... 2023 2026 2024 2025 2023 2024 25 50 75 100

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shaila Afrin Bangladesh 4 87 62 44 34 26 10 243
Shams Ul Arfeen Laghari Malaysia 10 97 1.1× 56 0.9× 78 1.8× 29 0.9× 15 0.6× 17 247
Youcef Gheraibia United Kingdom 7 64 0.7× 55 0.9× 67 1.5× 27 0.8× 24 0.9× 15 202
Prasad B. Honnavalli India 9 91 1.0× 98 1.6× 80 1.8× 45 1.3× 38 1.5× 59 272
Aida Čaušević Sweden 8 85 1.0× 53 0.9× 74 1.7× 19 0.6× 24 0.9× 31 222
T. Poongodi India 8 94 1.1× 69 1.1× 34 0.8× 46 1.4× 8 0.3× 28 265
Atul Rawal United States 5 40 0.5× 117 1.9× 24 0.5× 24 0.7× 19 0.7× 18 231
Srinath Doss Botswana 7 70 0.8× 61 1.0× 40 0.9× 36 1.1× 10 0.4× 25 246
Koyel Datta Gupta India 9 142 1.6× 94 1.5× 50 1.1× 37 1.1× 59 2.3× 25 268
Mario Sanz Spain 8 175 2.0× 92 1.5× 37 0.8× 40 1.2× 65 2.5× 16 280
Zheng Cui China 9 190 2.2× 27 0.4× 110 2.5× 33 1.0× 17 0.7× 25 306

Countries citing papers authored by Shaila Afrin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Shaila Afrin

This figure shows the co-authorship network connecting the top 25 collaborators of Shaila Afrin. A scholar is included among the top collaborators of Shaila Afrin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shaila Afrin. Shaila Afrin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Alam, Md. Sakib Bin, et al.. (2025). Role of deep learning in cognitive healthcare: Wearable signal analysis, algorithms, benefits, and challenges. Digital Communications and Networks. 11(3). 642–670. 2 indexed citations
2.
Ahmed, Shams Forruque, et al.. (2025). Forensics and security issues in the Internet of Things. Wireless Networks. 31(4). 3431–3466. 2 indexed citations
3.
Ahmed, Shams Forruque, Md. Sakib Bin Alam, Maliha Kabir, et al.. (2025). Unveiling the frontiers of deep learning: Innovations shaping diverse domains. Applied Intelligence. 55(7). 2 indexed citations
4.
Ahmed, Shams Forruque, et al.. (2025). Optimising Internet of Things (IoT) Performance Through Cloud, Fog and Edge Computing Architecture. IET Wireless Sensor Systems. 15(1).
5.
Afrin, Shaila, et al.. (2025). Industrial Internet of Things: Implementations, challenges, and potential solutions across various industries. Computers in Industry. 170. 104317–104317. 9 indexed citations
6.
Ahmed, Shams Forruque, Md. Sakib Bin Alam, Shaila Afrin, et al.. (2024). Corrections to “Toward a Secure 5G-Enabled Internet of Things: A Survey on Requirements, Privacy, Security, Challenges, and Opportunities”. IEEE Access. 12. 162420–162420.
7.
Ahmed, Shams Forruque, Md. Sakib Bin Alam, Shaila Afrin, et al.. (2024). Toward a Secure 5G-Enabled Internet of Things: A Survey on Requirements, Privacy, Security, Challenges, and Opportunities. IEEE Access. 12. 13125–13145. 49 indexed citations breakdown →
8.
Ahmed, Shams Forruque, Md. Sakib Bin Alam, Shaila Afrin, et al.. (2023). Industrial Internet of Things enabled technologies, challenges, and future directions. Computers & Electrical Engineering. 110. 108847–108847. 71 indexed citations
9.
Ahmed, Shams Forruque, et al.. (2023). Insights into Internet of Medical Things (IoMT): Data fusion, security issues and potential solutions. Information Fusion. 102. 102060–102060. 106 indexed citations breakdown →
10.
Afrin, Shaila, et al.. (2022). Prediction of IDH1 Gene expression in Glioblastoma Using Machine Learning Techniques. 336–341. 2 indexed citations

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.

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