Md. Ashraf Uddin
Impact in
- Health Information Management top 0.5%
- Artificial Intelligence in Healthcare
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- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
Papers in
-
- AI in cancer detection 12
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- IoT and Edge/Fog Computing 15
- Network Security and Intrusion Detection 11
- Co-authors
- Md. Alamin Talukder (36 shared papers)Md. Manowarul Islam (37 shared papers)Iqbal Gondal (11 shared papers)Andrew Stranieri (12 shared papers)Venki Balasubramanian (9 shared papers)Arnisha Akhter (18 shared papers)Sunil Aryal (21 shared papers)Mohammad Ali Moni (11 shared papers)
- Journals
- Digital Health (4 papers)Sensors (4 papers)Scientific Reports (3 papers)IEEE Access (3 papers)Intelligent Systems with Applications (3 papers)
- Partner nations
- BangladeshAustraliaSaudi Arabia
In The Last Decade
Md. Ashraf Uddin
117 papers receiving 2.4k citations
Md. Ashraf Uddin's Hit Papers
Peers
Comparison fields: 5 of 148
- Health Information Management 210
- Computer Networks and Communications 783
- Information Systems 744
- Artificial Intelligence 959
- Health Informatics 39
Countries citing papers authored by Md. Ashraf Uddin
This map shows the geographic impact of Md. Ashraf Uddin'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 Md. Ashraf Uddin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md. Ashraf Uddin more than expected).
Fields of papers citing papers by Md. Ashraf Uddin
This network shows the impact of papers produced by Md. Ashraf Uddin. 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 Md. Ashraf Uddin. The network helps show where Md. Ashraf Uddin may publish in the future.
Co-authors
The 25 scholars most cited alongside Md. Ashraf Uddin, 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 131 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A survey on the adoption of blockchain in IoT: challenges and solutions Hit paper breakdown → | 2021 | 229 |
| 2 | Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning Hit paper breakdown → | 2022 | 176 |
| 3 | 2018 | 169 | |
| 4 | An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning Hit paper breakdown → | 2023 | 106 |
| 5 | Enhancing K-nearest neighbor algorithm: a comprehensive review and performance analysis of modifications Hit paper breakdown → | 2024 | 104 |
| 6 | Machine learning-based network intrusion detection for big and imbalanced data using oversampling, stacking feature embedding and feature extraction Hit paper breakdown → | 2024 | 94 |
| 7 | 2021 | 93 | |
| 8 | 2021 | 90 | |
| 9 | 2022 | 82 | |
| 10 | 2020 | 78 | |
| 11 | 2023 | 63 | |
| 12 | 2020 | 55 | |
| 13 | 2023 | 48 | |
| 14 | 2023 | 44 | |
| 15 | 2022 | 42 | |
| 16 | 2022 | 42 | |
| 17 | 1997 | 41 | |
| 18 | 2024 | 40 | |
| 19 | 2023 | 38 | |
| 20 | 2021 | 36 |
About Md. Ashraf Uddin
Md. Ashraf Uddin is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 131 papers that have together received 2.5k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (19 papers), IoT and Edge/Fog Computing (15 papers), Fluid Dynamics and Turbulent Flows (14 papers), AI in cancer detection (12 papers), COVID-19 diagnosis using AI (11 papers), Network Security and Intrusion Detection (11 papers), Artificial Intelligence in Healthcare (10 papers) and Wind and Air Flow Studies (9 papers). The work is most often cited by research in Health Information Management (210 citations), Computer Networks and Communications (783 citations), Information Systems (744 citations), Artificial Intelligence (959 citations) and Health Informatics (39 citations). Md. Ashraf Uddin has collaborated with scholars based in Bangladesh, Australia and Saudi Arabia. Frequent co-authors include Md. Alamin Talukder, Md. Manowarul Islam, Iqbal Gondal, Andrew Stranieri, Venki Balasubramanian, Arnisha Akhter, Sunil Aryal, Mohammad Ali Moni, Khondokar Fida Hasan and Selina Sharmin. Their work appears in journals such as Digital Health, Sensors, Scientific Reports, IEEE Access and Intelligent Systems with Applications.
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.