Heba Mohsen
Impact in
- Neurology top 0.5%
- Brain Tumor Detection and Classification
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- Advanced Neural Network Applications
- Digital Imaging for Blood Diseases
- Medical Image Segmentation Techniques
Papers in
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- Sentiment Analysis and Opinion Mining 6
- Text and Document Classification Technologies 4
- Anomaly Detection Techniques and Applications 4
- Machine Learning and ELM 3
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- Network Security and Intrusion Detection 9
- Co-authors
- El‐Sayed A. El‐Dahshan (4 shared papers)Abdel-Badeeh M. Salem (3 shared papers)El-Sayed M. El-Horbaty (1 shared paper)Kenneth Revett (1 shared paper)Mashael Maashi (5 shared papers)Abdelwahed Motwakel (7 shared papers)Marwa Obayya (4 shared papers)Mesfer Al Duhayyim (10 shared papers)
- Journals
- Applied Sciences (7 papers)Computers, materials & continua/Computers, materials & continua (Print) (4 papers)IEEE Access (3 papers)Electronics (2 papers)Sensors (2 papers)
- Partner nations
- EgyptSaudi ArabiaPakistan
In The Last Decade
Heba Mohsen
36 papers receiving 1.4k citations
Heba Mohsen's Hit Papers
Peers
Comparison fields: 5 of 118
- Neurology 961
- Computer Vision and Pattern Recognition 849
- Artificial Intelligence 568
- Health Informatics 23
- Radiology, Nuclear Medicine and Imaging 358
Countries citing papers authored by Heba Mohsen
This map shows the geographic impact of Heba Mohsen'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 Heba Mohsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heba Mohsen more than expected).
Fields of papers citing papers by Heba Mohsen
This network shows the impact of papers produced by Heba Mohsen. 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 Heba Mohsen. The network helps show where Heba Mohsen may publish in the future.
Co-authors
The 25 scholars most cited alongside Heba Mohsen, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Classification using deep learning neural networks for brain tumors Hit paper breakdown → | 2017 | 684 |
| 2 | Computer-aided diagnosis of human brain tumor through MRI: A survey and a new algorithm Hit paper breakdown → | 2014 | 482 |
| 3 | 2023 | 44 | |
| 4 | 2022 | 29 | |
| 5 | 2022 | 28 | |
| 6 | 2023 | 24 | |
| 7 | 2017 | 23 | |
| 8 | A machine learning technique for MRI brain images | 2012 | 21 |
| 9 | 2022 | 18 | |
| 10 | 2020 | 17 | |
| 11 | 2022 | 17 | |
| 12 | 2023 | 16 | |
| 13 | 2022 | 15 | |
| 14 | 2023 | 14 | |
| 15 | 2022 | 13 | |
| 16 | 2023 | 13 | |
| 17 | 2022 | 12 | |
| 18 | 2023 | 10 | |
| 19 | 2022 | 9 | |
| 20 | 2023 | 8 |
About Heba Mohsen
Heba Mohsen is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing and Information Systems, having authored 39 papers that have together received 1.5k indexed citations. Recurring topics across this work include Network Security and Intrusion Detection (9 papers), Sentiment Analysis and Opinion Mining (6 papers), Advanced Malware Detection Techniques (6 papers), Brain Tumor Detection and Classification (5 papers), Text and Document Classification Technologies (4 papers), Anomaly Detection Techniques and Applications (4 papers), Machine Learning and ELM (3 papers) and Spam and Phishing Detection (3 papers). The work is most often cited by research in Neurology (961 citations), Computer Vision and Pattern Recognition (849 citations), Artificial Intelligence (568 citations), Health Informatics (23 citations) and Radiology, Nuclear Medicine and Imaging (358 citations). Heba Mohsen has collaborated with scholars based in Egypt, Saudi Arabia and Pakistan. Frequent co-authors include El‐Sayed A. El‐Dahshan, Abdel-Badeeh M. Salem, El-Sayed M. El-Horbaty, Kenneth Revett, Mashael Maashi, Abdelwahed Motwakel, Marwa Obayya, Mesfer Al Duhayyim, Mohamed Ibrahim Alsaid and Nadhem Nemri. Their work appears in journals such as Applied Sciences, Computers, materials & continua/Computers, materials & continua (Print), IEEE Access, Electronics and Sensors.
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.