Amreen Batool
Impact in
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- Brain Tumor Detection and Classification
- Modeling and Simulation top 10%
- Fractional Differential Equations Solutions
Papers in
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- Imbalanced Data Classification Techniques 2
- AI in cancer detection 2
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- Advanced Neural Network Applications 3
- Digital Imaging for Blood Diseases 2
- Co-authors
- Yung-Cheol Byun (13 shared papers)Muhammad Nadeem (2 shared papers)Asad Islam (2 shared papers)Jawad Ahmad (2 shared papers)Khaled A. Gepreel (1 shared paper)Muhammad Umer Sohail (1 shared paper)Wadii Boulila (1 shared paper)Ji‐Huan He (1 shared paper)
- Journals
- IEEE Access (5 papers)Computers in Biology and Medicine (1 paper)Journal of Building Engineering (1 paper)Results in Engineering (1 paper)Computers & Electrical Engineering (1 paper)
- Partner nations
- South KoreaChinaPakistan
In The Last Decade
Amreen Batool
17 papers receiving 219 citations
Peers
Comparison fields: 5 of 71
- Neurology 56
- Modeling and Simulation 28
- Computer Vision and Pattern Recognition 77
- Health Information Management 16
- Artificial Intelligence 84
Countries citing papers authored by Amreen Batool
This map shows the geographic impact of Amreen Batool'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 Amreen Batool with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amreen Batool more than expected).
Fields of papers citing papers by Amreen Batool
This network shows the impact of papers produced by Amreen Batool. 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 Amreen Batool. The network helps show where Amreen Batool may publish in the future.
Co-authors
The 19 scholars most cited alongside Amreen Batool, 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 | 2023 | 52 | |
| 2 | 2024 | 33 | |
| 3 | 2024 | 28 | |
| 4 | 2021 | 16 | |
| 5 | 2021 | 15 | |
| 6 | 2020 | 13 | |
| 7 | 2025 | 12 | |
| 8 | 2022 | 11 | |
| 9 | 2020 | 11 | |
| 10 | 2024 | 10 | |
| 11 | 2019 | 9 | |
| 12 | 2024 | 8 | |
| 13 | 2023 | 4 | |
| 14 | 2025 | 3 | |
| 15 | 2022 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 0 |
About Amreen Batool
Amreen Batool is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Neurology, Health Information Management and Plant Science, having authored 18 papers that have together received 229 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (4 papers), Advanced Neural Network Applications (3 papers), Artificial Intelligence in Healthcare (3 papers), Smart Agriculture and AI (3 papers), Imbalanced Data Classification Techniques (2 papers), AI in cancer detection (2 papers), Digital Imaging for Blood Diseases (2 papers) and Nonlinear Waves and Solitons (2 papers). The work is most often cited by research in Neurology (56 citations), Modeling and Simulation (28 citations), Computer Vision and Pattern Recognition (77 citations), Health Information Management (16 citations) and Artificial Intelligence (84 citations). Amreen Batool has collaborated with scholars based in South Korea, China and Pakistan. Frequent co-authors include Yung-Cheol Byun, Muhammad Nadeem, Asad Islam, Jawad Ahmad, Khaled A. Gepreel, Muhammad Umer Sohail, Wadii Boulila, Ji‐Huan He, Ji‐Soo Kim and Zhe Zhao. Their work appears in journals such as IEEE Access, Computers in Biology and Medicine, Journal of Building Engineering, Results in Engineering and Computers & Electrical Engineering.
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.