Rehan Raza
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
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- Advanced Neural Network Applications 5
- Medical Image Segmentation Techniques 3
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- AI in cancer detection 2
- Explainable Artificial Intelligence (XAI) 2
- Domain Adaptation and Few-Shot Learning 1
- Co-authors
- Usama Ijaz Bajwa (3 shared papers)Yasar Mehmood (2 shared papers)Muhammad Waqas Anwar (2 shared papers)Fatima Zulfiqar (3 shared papers)Atif Alvi (2 shared papers)Tanvir Alam (2 shared papers)Muhammad Owais Khan (2 shared papers)Muhammad Arif (2 shared papers)
In The Last Decade
Rehan Raza
13 papers receiving 298 citations
Rehan Raza's Hit Papers
Peers
Comparison fields: 5 of 59
- Neurology 155
- Computer Vision and Pattern Recognition 155
- Radiology, Nuclear Medicine and Imaging 106
- Artificial Intelligence 86
- Health Informatics 3
Countries citing papers authored by Rehan Raza
This map shows the geographic impact of Rehan Raza'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 Rehan Raza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rehan Raza more than expected).
Fields of papers citing papers by Rehan Raza
This network shows the impact of papers produced by Rehan Raza. 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 Rehan Raza. The network helps show where Rehan Raza may publish in the future.
Co-authors
The 25 scholars most cited alongside Rehan Raza, 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 | 2022 | 142 | |
| 2 | Lung-EffNet: Lung cancer classification using EfficientNet from CT-scan images Hit paper breakdown → | 2023 | 92 |
| 3 | 2021 | 29 | |
| 4 | 2023 | 16 | |
| 5 | 2024 | 10 | |
| 6 | 2025 | 5 | |
| 7 | 2024 | 5 | |
| 8 | 2022 | 5 | |
| 9 | 2023 | 4 | |
| 10 | 2014 | 2 | |
| 11 | 2025 | 2 | |
| 12 | 2023 | 1 | |
| 13 | 2025 | 1 | |
| 14 | 2025 | 0 |
About Rehan Raza
Rehan Raza is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Neurology, Information Systems and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 314 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (5 papers), Advanced Neural Network Applications (5 papers), Medical Image Segmentation Techniques (3 papers), AI in cancer detection (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Explainable Artificial Intelligence (XAI) (2 papers), Cardiac electrophysiology and arrhythmias (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Neurology (155 citations), Computer Vision and Pattern Recognition (155 citations), Radiology, Nuclear Medicine and Imaging (106 citations), Artificial Intelligence (86 citations) and Health Informatics (3 citations). Rehan Raza has collaborated with scholars based in Pakistan, Australia and India. Frequent co-authors include Usama Ijaz Bajwa, Yasar Mehmood, Muhammad Waqas Anwar, Fatima Zulfiqar, Atif Alvi, Tanvir Alam, Muhammad Owais Khan, Muhammad Arif, Muhammad Aksam Iftikhar and Zulfiqar Habib. Their work appears in journals such as Information Sciences, Biomedical Signal Processing and Control, Heart & Lung, PeerJ Computer Science and Multimedia Tools and 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.