Adyasha Sahu
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Neurology top 10%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Topics
- AI in cancer detection (7 papers)COVID-19 diagnosis using AI (6 papers)Digital Imaging for Blood Diseases (4 papers)
- Journals
- MeasurementEngineering Applications of Artificial IntelligenceBiomedical Signal Processing and Control
- Partner nations
- IndiaCanadaUnited States
In The Last Decade
Adyasha Sahu
11 papers receiving 268 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Artificial Intelligence 200
- Radiology, Nuclear Medicine and Imaging 151
- Neurology 84
- Computer Vision and Pattern Recognition 78
- Molecular Biology 22
Countries citing papers authored by Adyasha Sahu
This map shows the geographic impact of Adyasha Sahu'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 Adyasha Sahu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adyasha Sahu more than expected).
Fields of papers citing papers by Adyasha Sahu
This network shows the impact of papers produced by Adyasha Sahu. 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 Adyasha Sahu. The network helps show where Adyasha Sahu may publish in the future.
Co-authorship network of co-authors of Adyasha Sahu
This figure shows the co-authorship network connecting the top 25 collaborators of Adyasha Sahu. A scholar is included among the top collaborators of Adyasha Sahu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Adyasha Sahu. Adyasha Sahu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 6 | |
| 6 | An efficient deep learning scheme to detect breast cancer using mammogram and ultrasound breast imagesbreakdown → | 93 |
| 7 | 14 | |
| 8 | 8 | |
| 9 | 42 | |
| 10 | 10 | |
| 11 | 90 | |
| 12 | 2 |
About Adyasha Sahu
Adyasha Sahu is a scholar working on Neurology, Health Information Management and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 278 indexed citations. Recurring topics across this work include AI in cancer detection (7 papers), COVID-19 diagnosis using AI (6 papers) and Digital Imaging for Blood Diseases (4 papers). The work is most often cited by research in Neurology (84 citations), Radiology, Nuclear Medicine and Imaging (151 citations) and Artificial Intelligence (200 citations). Adyasha Sahu has collaborated with scholars based in India, Canada and United States. Frequent co-authors include Sukadev Meher, Pradeep Kumar Das, P. M. Sagar, Rutuparna Panda and Ajith Abraham. Their work appears in journals such as Measurement, Engineering Applications of Artificial Intelligence and Biomedical Signal Processing and Control.
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.