Ayush Singh
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Brain Tumor Detection and Classification
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Neural Networks and Applications 3
- Anomaly Detection Techniques and Applications 2
- Quantum Computing Algorithms and Architecture 2
- AI in cancer detection 2
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- Advanced Image and Video Retrieval Techniques 2
- Co-authors
- Sheetal Rajpal (1 shared paper)Naveen Kumar (1 shared paper)Colin Benjamin (1 shared paper)Giulio Taglialatela (1 shared paper)Balaji Krishnan (1 shared paper)Randy Woltjer (1 shared paper)Anna Fracassi (1 shared paper)Batbayar Tumurbaatar (1 shared paper)
- Journals
- Chaos Solitons & Fractals (1 paper)Journal of Environmental and Public Health (1 paper)Sustainability (1 paper)Physical review. B. (1 paper)Applied Sciences (1 paper)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
Ayush Singh
30 papers receiving 268 citations
Peers
Comparison fields: 5 of 104
- Health Informatics 13
- Neurology 26
- Radiology, Nuclear Medicine and Imaging 60
- General Dentistry 3
- Artificial Intelligence 67
Countries citing papers authored by Ayush Singh
This map shows the geographic impact of Ayush Singh'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 Ayush Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ayush Singh more than expected).
Fields of papers citing papers by Ayush Singh
This network shows the impact of papers produced by Ayush Singh. 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 Ayush Singh. The network helps show where Ayush Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Ayush Singh, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 99 | |
| 2 | 2020 | 42 | |
| 3 | 2023 | 24 | |
| 4 | 2021 | 14 | |
| 5 | 2024 | 9 | |
| 6 | 2023 | 9 | |
| 7 | 2020 | 9 | |
| 8 | 2021 | 8 | |
| 9 | 2025 | 7 | |
| 10 | 2022 | 7 | |
| 11 | 2021 | 6 | |
| 12 | 2024 | 5 | |
| 13 | 2019 | 5 | |
| 14 | 2018 | 4 | |
| 15 | 2017 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2016 | 3 | |
| 18 | 2022 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2017 | 2 |
About Ayush Singh
Ayush Singh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Plant Science, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 49 papers that have together received 280 indexed citations. Recurring topics across this work include Neural Networks and Applications (3 papers), Anomaly Detection Techniques and Applications (2 papers), Quantum Computing Algorithms and Architecture (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Plant Taxonomy and Phylogenetics (2 papers), AI in cancer detection (2 papers), Brain Tumor Detection and Classification (2 papers) and Software Engineering Research (2 papers). The work is most often cited by research in Health Informatics (13 citations), Neurology (26 citations), Radiology, Nuclear Medicine and Imaging (60 citations), General Dentistry (3 citations) and Artificial Intelligence (67 citations). Ayush Singh has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Sheetal Rajpal, Naveen Kumar, Colin Benjamin, Giulio Taglialatela, Balaji Krishnan, Randy Woltjer, Anna Fracassi, Batbayar Tumurbaatar, Rakez Kayed and Agenor Limón. Their work appears in journals such as Chaos Solitons & Fractals, Journal of Environmental and Public Health, Sustainability, Physical review. B. and Applied Sciences.
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.