Aryan Mobiny
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
Papers in
-
- Lung Cancer Diagnosis and Treatment 1
-
- Advanced Neural Network Applications 2
- Co-authors
- Hien Van Nguyen (7 shared papers)Badrinath Roysam (2 shared papers)Furui Wang (1 shared paper)Gangbing Song (1 shared paper)Hengyang Lu (1 shared paper)Navin Varadarajan (1 shared paper)Dragan Maric (1 shared paper)Pietro Antonio Cicalese (3 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (2 papers)Journal of Neural Engineering (1 paper)Structural Health Monitoring (1 paper)Journal of Clinical Medicine (1 paper)Nature Communications (1 paper)
- Partner nations
- United States
In The Last Decade
Aryan Mobiny
9 papers receiving 271 citations
Peers
Comparison fields: 5 of 78
- Biophysics 36
- Health Informatics 5
- Artificial Intelligence 81
- Neurology 17
- Radiology, Nuclear Medicine and Imaging 45
Countries citing papers authored by Aryan Mobiny
This map shows the geographic impact of Aryan Mobiny'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 Aryan Mobiny with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aryan Mobiny more than expected).
Fields of papers citing papers by Aryan Mobiny
This network shows the impact of papers produced by Aryan Mobiny. 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 Aryan Mobiny. The network helps show where Aryan Mobiny may publish in the future.
Co-authors
The 20 scholars most cited alongside Aryan Mobiny, 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 | 2019 | 68 | |
| 2 | 2021 | 51 | |
| 3 | 2019 | 46 | |
| 4 | 2020 | 40 | |
| 5 | 2020 | 22 | |
| 6 | 2021 | 21 | |
| 7 | 2019 | 16 | |
| 8 | 2020 | 15 | |
| 9 | Trans-Caps: Transformer Capsule Networks with Self-attention Routing | 2021 | 1 |
About Aryan Mobiny
Aryan Mobiny is a scholar working on Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Epidemiology, Artificial Intelligence and Biophysics, having authored 9 papers that have together received 280 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (2 papers), Advanced Neural Network Applications (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper), Single-cell and spatial transcriptomics (1 paper), COVID-19 diagnosis using AI (1 paper), Lung Cancer Diagnosis and Treatment (1 paper), Image Processing Techniques and Applications (1 paper) and EEG and Brain-Computer Interfaces (1 paper). The work is most often cited by research in Biophysics (36 citations), Health Informatics (5 citations), Artificial Intelligence (81 citations), Neurology (17 citations) and Radiology, Nuclear Medicine and Imaging (45 citations). Aryan Mobiny has collaborated with scholars based in United States. Frequent co-authors include Hien Van Nguyen, Badrinath Roysam, Furui Wang, Gangbing Song, Hengyang Lu, Navin Varadarajan, Dragan Maric, Pietro Antonio Cicalese, Andrea Sedlock and Hossein Pirayesh. Their work appears in journals such as IEEE Transactions on Medical Imaging, Journal of Neural Engineering, Structural Health Monitoring, Journal of Clinical Medicine and Nature Communications.
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.