Abeer Alsadoon
Impact in
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- Advanced Neural Network Applications
- Artificial Intelligence top 1%
- Sentiment Analysis and Opinion Mining
- AI in cancer detection
- Advanced Text Analysis Techniques
Papers in
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- Augmented Reality Applications 28
- Face and Expression Recognition 10
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- AI in cancer detection 15
- Co-authors
- P. W. C. Prasad (144 shared papers)Amr Elchouemi (57 shared papers)Angelika Maag (11 shared papers)Ashutosh Kumar Singh (8 shared papers)Omar Hisham Alsadoon (31 shared papers)Tarik A. Rashid (33 shared papers)Manoranjan Paul (10 shared papers)Dedong Yang (1 shared paper)
- Journals
- Multimedia Tools and Applications (48 papers)American Journal of Applied Sciences (4 papers)Neural Processing Letters (3 papers)Transactions on Emerging Telecommunications Technologies (2 papers)Education and Information Technologies (2 papers)
- Partner nations
- AustraliaIraqUnited States
In The Last Decade
Abeer Alsadoon
182 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Computer Vision and Pattern Recognition 688
- Artificial Intelligence 1.1k
- Neurology 253
- Computer Science Applications 151
- Human-Computer Interaction 152
Countries citing papers authored by Abeer Alsadoon
This map shows the geographic impact of Abeer Alsadoon'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 Abeer Alsadoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abeer Alsadoon more than expected).
Fields of papers citing papers by Abeer Alsadoon
This network shows the impact of papers produced by Abeer Alsadoon. 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 Abeer Alsadoon. The network helps show where Abeer Alsadoon may publish in the future.
Co-authors
The 25 scholars most cited alongside Abeer Alsadoon, 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 196 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep Learning for Aspect-Based Sentiment Analysis: A Comparative Review Hit paper breakdown → | 2018 | 423 |
| 2 | 2019 | 195 | |
| 3 | 2018 | 188 | |
| 4 | 2018 | 144 | |
| 5 | 2017 | 121 | |
| 6 | 2018 | 90 | |
| 7 | 2019 | 78 | |
| 8 | The accuracy of machine learning models relies on hyperparameter tuning: student result classification using random forest, randomized search, grid search, bayesian, genetic, and optuna algorithms Hit paper breakdown → | 2024 | 55 |
| 9 | 2021 | 52 | |
| 10 | 2015 | 51 | |
| 11 | 2018 | 45 | |
| 12 | 2018 | 42 | |
| 13 | 2022 | 42 | |
| 14 | 2020 | 39 | |
| 15 | 2021 | 37 | |
| 16 | 2020 | 36 | |
| 17 | 2020 | 35 | |
| 18 | 2017 | 32 | |
| 19 | 2022 | 30 | |
| 20 | 2021 | 29 |
About Abeer Alsadoon
Abeer Alsadoon is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging, having authored 196 papers that have together received 2.9k indexed citations. Recurring topics across this work include Augmented Reality Applications (28 papers), Surgical Simulation and Training (17 papers), AI in cancer detection (15 papers), Radiomics and Machine Learning in Medical Imaging (13 papers), COVID-19 diagnosis using AI (10 papers), IoT and Edge/Fog Computing (10 papers), Face and Expression Recognition (10 papers) and Brain Tumor Detection and Classification (10 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (688 citations), Artificial Intelligence (1.1k citations), Neurology (253 citations), Computer Science Applications (151 citations) and Human-Computer Interaction (152 citations). Abeer Alsadoon has collaborated with scholars based in Australia, Iraq and United States. Frequent co-authors include P. W. C. Prasad, Amr Elchouemi, Angelika Maag, Ashutosh Kumar Singh, Omar Hisham Alsadoon, Tarik A. Rashid, Manoranjan Paul, Dedong Yang, Azam Beg and Navneet Sharma. Their work appears in journals such as Multimedia Tools and Applications, American Journal of Applied Sciences, Neural Processing Letters, Transactions on Emerging Telecommunications Technologies and Education and Information Technologies.
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.