Khalid Amin
Impact in
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- Digital Imaging for Blood Diseases
- Advanced Neural Network Applications
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
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- Image Retrieval and Classification Techniques 7
- Medical Image Segmentation Techniques 5
- Advanced Neural Network Applications 4
- Video Surveillance and Tracking Methods 4
- Image Enhancement Techniques 4
- Handwritten Text Recognition Techniques 4
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- AI in cancer detection 7
- Co-authors
- Ahmed I. Shahin (4 shared papers)Yanhui Guo (4 shared papers)Amr A. Sharawi (3 shared papers)Mohiy M. Hadhoud (8 shared papers)Paweł Pławiak (4 shared papers)Mohamed Hammad (4 shared papers)Wail S. Elkilani (3 shared papers)Noura A. Semary (5 shared papers)
- Journals
- IEEE Access (2 papers)French Studies (2 papers)Sensors (2 papers)Information Sciences (1 paper)Measurement (1 paper)
- Partner nations
- EgyptUnited StatesSaudi Arabia
In The Last Decade
Khalid Amin
45 papers receiving 608 citations
Peers
Comparison fields: 5 of 113
- Computer Vision and Pattern Recognition 378
- Biophysics 60
- Media Technology 67
- Artificial Intelligence 224
- Neurology 47
Countries citing papers authored by Khalid Amin
This map shows the geographic impact of Khalid Amin'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 Khalid Amin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khalid Amin more than expected).
Fields of papers citing papers by Khalid Amin
This network shows the impact of papers produced by Khalid Amin. 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 Khalid Amin. The network helps show where Khalid Amin may publish in the future.
Co-authors
The 25 scholars most cited alongside Khalid Amin, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 175 | |
| 2 | 2021 | 63 | |
| 3 | 2017 | 43 | |
| 4 | A New Image Segmentation Method Based on Particle Swarm Optimization | 2012 | 39 |
| 5 | 2015 | 27 | |
| 6 | 2023 | 23 | |
| 7 | 2022 | 22 | |
| 8 | 2020 | 19 | |
| 9 | 2024 | 18 | |
| 10 | 2023 | 17 | |
| 11 | 2014 | 17 | |
| 12 | 2010 | 15 | |
| 13 | 2012 | 14 | |
| 14 | 2023 | 13 | |
| 15 | 2018 | 13 | |
| 16 | 2022 | 12 | |
| 17 | 2010 | 11 | |
| 18 | 2016 | 11 | |
| 19 | 2023 | 10 | |
| 20 | 2024 | 9 |
About Khalid Amin
Khalid Amin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications, Radiology, Nuclear Medicine and Imaging and Media Technology, having authored 53 papers that have together received 645 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (7 papers), AI in cancer detection (7 papers), Medical Image Segmentation Techniques (5 papers), Advanced Neural Network Applications (4 papers), Video Surveillance and Tracking Methods (4 papers), Image Enhancement Techniques (4 papers), Handwritten Text Recognition Techniques (4 papers) and Non-Invasive Vital Sign Monitoring (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (378 citations), Biophysics (60 citations), Media Technology (67 citations), Artificial Intelligence (224 citations) and Neurology (47 citations). Khalid Amin has collaborated with scholars based in Egypt, United States and Saudi Arabia. Frequent co-authors include Ahmed I. Shahin, Yanhui Guo, Amr A. Sharawi, Mohiy M. Hadhoud, Paweł Pławiak, Mohamed Hammad, Wail S. Elkilani, Noura A. Semary, Muhammad Ejaz Ahmed and Ryszard Tadeusiewicz. Their work appears in journals such as IEEE Access, French Studies, Sensors, Information Sciences and Measurement.
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.