Y. Supriya

About

Y. Supriya is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Y. Supriya has authored 8 papers receiving a total of 132 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Y. Supriya’s work include Privacy-Preserving Technologies in Data (3 papers), COVID-19 diagnosis using AI (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Y. Supriya is often cited by papers focused on Privacy-Preserving Technologies in Data (3 papers), COVID-19 diagnosis using AI (2 papers) and Artificial Intelligence in Healthcare and Education (2 papers). Y. Supriya collaborates with scholars based in India, Canada and United Kingdom. Y. Supriya's co-authors include Thippa Reddy Gadekallu, Gokul Yenduri, M. Ramalingam, B. Prabadevi, Rutvij H. Jhaveri, Praveen Kumar Reddy Maddikunta, Gautam Srivastava, Athanasios V. Vasilakos, Weizheng Wang and Rajeswari Chengoden and has published in prestigious journals such as IEEE Access, Sustainability and Journal of Data and Information Quality.

In The Last Decade

Co-authorship network of co-authors of Y. Supriya i

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Fields of papers citing papers by Y. Supriya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Y. Supriya. 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 Y. Supriya. The network helps show where Y. Supriya may publish in the future.

Countries citing papers authored by Y. Supriya

Since Specialization

Citations

This map shows the geographic impact of Y. Supriya'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 Y. Supriya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. Supriya more than expected).

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.

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