Asaf Raza
- Neurology top 5%
- Brain Tumor Detection and Classification 1
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- Radiomics and Machine Learning in Medical Imaging 3
- COVID-19 diagnosis using AI 2
- Artificial Intelligence top 10%
- Privacy-Preserving Technologies in Data 2
- Machine Learning and ELM 1
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- Smart Agriculture and AI 1
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- Dental Research and COVID-19 1
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- Earthquake Detection and Analysis 1
Asaf Raza
6 papers receiving 374 citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Neurology 188
- Computer Vision and Pattern Recognition 153
- Radiology, Nuclear Medicine and Imaging 133
- Artificial Intelligence 170
- Health Informatics 6
Countries citing papers authored by Asaf Raza
This map shows the geographic impact of Asaf 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 Asaf Raza with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asaf Raza more than expected).
Fields of papers citing papers by Asaf Raza
This network shows the impact of papers produced by Asaf 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 Asaf Raza. The network helps show where Asaf Raza may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Asaf 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 | 2025 | 7 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 65 | |
| 4 | 2022 | 74 | |
| 5 | 2022 | 34 | |
| 6 | A Hybrid Deep Learning-Based Approach for Brain Tumor Classificationbreakdown → | 2022 | 202 |
About Asaf Raza
Asaf Raza is a scholar working on Health Informatics, General Dentistry, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Neurology, having authored 6 papers that have together received 387 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), COVID-19 diagnosis using AI (2 papers), Privacy-Preserving Technologies in Data (2 papers), Brain Tumor Detection and Classification (1 paper), Machine Learning and ELM (1 paper), Smart Agriculture and AI (1 paper), Dental Research and COVID-19 (1 paper) and Earthquake Detection and Analysis (1 paper). The work is most often cited by research in Neurology (188 citations), Computer Vision and Pattern Recognition (153 citations), Radiology, Nuclear Medicine and Imaging (133 citations), Artificial Intelligence (170 citations) and Health Informatics (6 citations). Asaf Raza has collaborated with scholars based in Pakistan, Saudi Arabia and Italy. Frequent co-authors include Javed Ali Khan, Ijaz Ahmad, Naeem Ullah, Danish Javeed, Ateeq Ur Rehman, Habib Hamam, Yousef Ibrahim Daradkeh, Ahmed S. Salama, Antonella Guzzo and Wahab Khan. Their work appears in journals such as Applied Sciences, Computer Methods and Programs in Biomedicine, IEEE Access and Electronics.
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.