Bijen Khagi
Impact in
- Neurology top 5%
- Brain Tumor Detection and Classification
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- Artificial Intelligence in Healthcare
Papers in
- Neurology 10
- Brain Tumor Detection and Classification 10
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- Advanced Neural Network Applications 5
- Medical Image Segmentation Techniques 2
- Co-authors
- Goo‐Rak Kwon (9 shared papers)Chung Ghiu Lee (1 shared paper)Ramesh Kumar Lama (1 shared paper)Jae-Young Pyun (1 shared paper)Bumshik Lee (1 shared paper)Hee-Deok Yang (1 shared paper)Kun Ho Lee (1 shared paper)Jang Jae Lee (1 shared paper)
- Journals
- IEEE Access (2 papers)The American Journal of Cardiology (2 papers)Scientific Reports (2 papers)Applied Sciences (1 paper)International Journal of Imaging Systems and Technology (1 paper)
- Partner nations
- South KoreaUnited StatesFrance
In The Last Decade
Bijen Khagi
12 papers receiving 257 citations
Peers
Comparison fields: 5 of 73
- Neurology 151
- Health Information Management 43
- Computer Vision and Pattern Recognition 82
- Psychiatry and Mental health 42
- Health Informatics 4
Countries citing papers authored by Bijen Khagi
This map shows the geographic impact of Bijen Khagi'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 Bijen Khagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bijen Khagi more than expected).
Fields of papers citing papers by Bijen Khagi
This network shows the impact of papers produced by Bijen Khagi. 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 Bijen Khagi. The network helps show where Bijen Khagi may publish in the future.
Co-authors
The 17 scholars most cited alongside Bijen Khagi, 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 | 2020 | 67 | |
| 2 | 2019 | 49 | |
| 3 | 2018 | 49 | |
| 4 | 2018 | 35 | |
| 5 | 2019 | 26 | |
| 6 | 2021 | 12 | |
| 7 | 2022 | 10 | |
| 8 | 2021 | 9 | |
| 9 | 2023 | 6 | |
| 10 | 2021 | 5 | |
| 11 | 2019 | 5 | |
| 12 | 2024 | 2 | |
| 13 | 2026 | 0 | |
| 14 | 2025 | 0 |
About Bijen Khagi
Bijen Khagi is a scholar working on Neurology, Computer Vision and Pattern Recognition, Artificial Intelligence, Biomedical Engineering and Surgery, having authored 14 papers that have together received 275 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (10 papers), Advanced Neural Network Applications (5 papers), Medical Imaging and Analysis (4 papers), AI in cancer detection (4 papers), Peripheral Artery Disease Management (3 papers), Medical Image Segmentation Techniques (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers) and Acute Ischemic Stroke Management (2 papers). The work is most often cited by research in Neurology (151 citations), Health Information Management (43 citations), Computer Vision and Pattern Recognition (82 citations), Psychiatry and Mental health (42 citations) and Health Informatics (4 citations). Bijen Khagi has collaborated with scholars based in South Korea, United States and France. Frequent co-authors include Goo‐Rak Kwon, Chung Ghiu Lee, Ramesh Kumar Lama, Jae-Young Pyun, Bumshik Lee, Hee-Deok Yang, Kun Ho Lee, Jang Jae Lee, Kyu Yeong Choi and Vijay Nambi. Their work appears in journals such as IEEE Access, The American Journal of Cardiology, Scientific Reports, Applied Sciences and International Journal of Imaging Systems and Technology.
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.