Sadia Din
Impact in
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- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
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- Video Surveillance and Tracking Methods
Papers in
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- IoT and Edge/Fog Computing 18
- Energy Efficient Wireless Sensor Networks 5
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- Advanced Neural Network Applications 4
- Co-authors
- Gwanggil Jeon (24 shared papers)Anand Paul (29 shared papers)Francesco Piccialli (7 shared papers)Awais Ahmad (26 shared papers)Kashif Naseer Qureshi (4 shared papers)Joel J. P. C. Rodrigues (3 shared papers)K. F. Bowden (2 shared papers)Abdul Rehman (3 shared papers)
- Journals
- IEEE Access (8 papers)Multimedia Tools and Applications (5 papers)Computer Networks (3 papers)Computers & Electrical Engineering (3 papers)Journal of Ambient Intelligence and Humanized Computing (2 papers)
- Partner nations
- South KoreaPakistanChina
In The Last Decade
Sadia Din
85 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 152
- Computer Networks and Communications 751
- Computer Vision and Pattern Recognition 475
- Health Information Management 90
- Health Informatics 27
- Artificial Intelligence 520
Countries citing papers authored by Sadia Din
This map shows the geographic impact of Sadia Din'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 Sadia Din with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sadia Din more than expected).
Fields of papers citing papers by Sadia Din
This network shows the impact of papers produced by Sadia Din. 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 Sadia Din. The network helps show where Sadia Din may publish in the future.
Co-authors
The 25 scholars most cited alongside Sadia Din, 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 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 195 | |
| 2 | 2020 | 122 | |
| 3 | 2018 | 102 | |
| 4 | 2022 | 101 | |
| 5 | 2019 | 85 | |
| 6 | 1977 | 82 | |
| 7 | 2018 | 77 | |
| 8 | 2021 | 76 | |
| 9 | 2020 | 71 | |
| 10 | 2017 | 70 | |
| 11 | 2020 | 69 | |
| 12 | 2021 | 67 | |
| 13 | 2019 | 64 | |
| 14 | 2018 | 60 | |
| 15 | 2021 | 59 | |
| 16 | 2016 | 55 | |
| 17 | 2017 | 48 | |
| 18 | 1966 | 45 | |
| 19 | 2019 | 44 | |
| 20 | 2021 | 43 |
About Sadia Din
Sadia Din is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence and Oceanography, having authored 91 papers that have together received 2.4k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (18 papers), Vehicular Ad Hoc Networks (VANETs) (6 papers), Indoor and Outdoor Localization Technologies (6 papers), Cloud Computing and Resource Management (6 papers), Energy Efficient Wireless Sensor Networks (5 papers), COVID-19 diagnosis using AI (5 papers), Advanced Neural Network Applications (4 papers) and Geophysics and Gravity Measurements (4 papers). The work is most often cited by research in Computer Networks and Communications (751 citations), Computer Vision and Pattern Recognition (475 citations), Health Information Management (90 citations), Health Informatics (27 citations) and Artificial Intelligence (520 citations). Sadia Din has collaborated with scholars based in South Korea, Pakistan and China. Frequent co-authors include Gwanggil Jeon, Anand Paul, Francesco Piccialli, Awais Ahmad, Kashif Naseer Qureshi, Joel J. P. C. Rodrigues, K. F. Bowden, Abdul Rehman, Imran Ashraf and Misbah Ahmad. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications, Computer Networks, Computers & Electrical Engineering and Journal of Ambient Intelligence and Humanized Computing.
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.