Md Awsafur Rahman
- Health Informatics top 2%
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- Radiomics and Machine Learning in Medical Imaging 2
- COVID-19 diagnosis using AI 2
- Artificial Intelligence top 5%
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- Advanced Vision and Imaging 2
- Optical measurement and interference techniques 2
- Advanced Steganography and Watermarking Techniques 1
- Generative Adversarial Networks and Image Synthesis 1
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- Lung Cancer Diagnosis and Treatment 2
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- ECG Monitoring and Analysis 1
- Journals
- IEEE Sensors Journal (1 paper)Computers in Biology and Medicine (1 paper)Biomedical Signal Processing and Control (1 paper)
- Partner nations
- BangladeshUnited States
In The Last Decade
Md Awsafur Rahman
7 papers receiving 416 citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Health Informatics 69
- Radiology, Nuclear Medicine and Imaging 367
- Artificial Intelligence 266
- Computer Vision and Pattern Recognition 79
- General Dentistry 7
Countries citing papers authored by Md Awsafur Rahman
This map shows the geographic impact of Md Awsafur Rahman'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 Awsafur Rahman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Md Awsafur Rahman more than expected).
Fields of papers citing papers by Md Awsafur Rahman
This network shows the impact of papers produced by Md Awsafur Rahman. 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 Awsafur Rahman. The network helps show where Md Awsafur Rahman may publish in the future.
Co-authorship network
The 3 scholars most cited alongside Md Awsafur Rahman, 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 | 2024 | 1 | |
| 2 | 2023 | 13 | |
| 3 | 2023 | 12 | |
| 4 | 2023 | 6 | |
| 5 | 2022 | 1 | |
| 6 | 2021 | 24 | |
| 7 | CovXNet: A multi-dilation convolutional neural network for automatic COVID-19 and other pneumonia detection from chest X-ray images with transferable multi-receptive feature optimizationbreakdown → | 2020 | 373 |
About Md Awsafur Rahman
Md Awsafur Rahman is a scholar working on Biophysics, Computer Vision and Pattern Recognition and Media Technology, having authored 7 papers that have together received 430 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced Vision and Imaging (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Optical measurement and interference techniques (2 papers), COVID-19 diagnosis using AI (2 papers), ECG Monitoring and Analysis (1 paper), Advanced Steganography and Watermarking Techniques (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Health Informatics (69 citations), Radiology, Nuclear Medicine and Imaging (367 citations) and Artificial Intelligence (266 citations). Md Awsafur Rahman has collaborated with scholars based in Bangladesh and United States. Frequent co-authors include Shaikh Anowarul Fattah, Tanvir Mahmud and Sun‐Yuan Kung. Their work appears in journals such as IEEE Sensors Journal, Computers in Biology and Medicine and Biomedical Signal Processing and Control.
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.