Y. Supriya

752 total citations · 1 hit paper
10 papers, 330 citations indexed

About

Y. Supriya is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Y. Supriya has authored 10 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Y. Supriya's work include Privacy-Preserving Technologies in Data (5 papers), Artificial Intelligence in Healthcare and Education (2 papers) and AI in cancer detection (2 papers). Y. Supriya is often cited by papers focused on Privacy-Preserving Technologies in Data (5 papers), Artificial Intelligence in Healthcare and Education (2 papers) and AI in cancer detection (2 papers). Y. Supriya collaborates with scholars based in India, Canada and Lebanon. Y. Supriya's co-authors include Thippa Reddy Gadekallu, Gautam Srivastava, Gokul Yenduri, Weizheng Wang, M. Ramalingam, B. Prabadevi, Rutvij H. Jhaveri, Praveen Kumar Reddy Maddikunta, Athanasios V. Vasilakos and G. Deepti Raj and has published in prestigious journals such as IEEE Access, Sustainability and Journal of Data and Information Quality.

In The Last Decade

Y. Supriya

9 papers receiving 313 citations

Hit Papers

GPT (Generative Pre-Trained Transformer)— A Comprehensive... 2024 2026 2025 2024 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. GPT (Generative Pre-Trained Transformer)— A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions
    2024 215 citations Gokul Yenduri, M. Ramalingam et al. IEEE Access profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Y. Supriya India 6 169 42 32 24 20 10 330
G. Deepti Raj India 4 121 0.7× 41 1.0× 21 0.7× 18 0.8× 13 0.7× 10 269
Dylan Slack United States 5 334 2.0× 57 1.4× 26 0.8× 17 0.7× 20 1.0× 6 478
Weitao Ma China 2 236 1.4× 57 1.4× 54 1.7× 17 0.7× 22 1.1× 6 414
Waddah Saeed Malaysia 4 254 1.5× 64 1.5× 26 0.8× 22 0.9× 16 0.8× 5 423
José Bobes-Bascarán Spain 4 155 0.9× 60 1.4× 21 0.7× 25 1.0× 11 0.6× 7 383
Sophie Hilgard United States 4 302 1.8× 50 1.2× 19 0.6× 16 0.7× 20 1.0× 4 431
Shaochen Zhong United States 3 140 0.8× 27 0.6× 42 1.3× 10 0.4× 28 1.4× 6 278
Adrien Bibal Belgium 9 184 1.1× 25 0.6× 33 1.0× 37 1.5× 12 0.6× 24 329
Hongye Jin United States 2 128 0.8× 28 0.7× 41 1.3× 10 0.4× 24 1.2× 2 241
K. R. Chowdhary India 4 123 0.7× 20 0.5× 34 1.1× 9 0.4× 17 0.8× 8 252

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Y. Supriya. A scholar is included among the top collaborators of Y. Supriya 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 Y. Supriya. Y. Supriya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Supriya, Y., Sweta Bhattacharya, Thippa Reddy Gadekallu, et al.. (2024). Industry 5.0 in Smart Education: Concepts, Applications, Challenges, Opportunities, and Future Directions. IEEE Access. 12. 81938–81967. 9 indexed citations
2.
Yenduri, Gokul, M. Ramalingam, Y. Supriya, et al.. (2024). GPT (Generative Pre-Trained Transformer)— A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions. IEEE Access. 12. 54608–54649. 215 indexed citations breakdown →
3.
Supriya, Y. & Rajeswari Chengoden. (2024). Breast Cancer Prediction Using Shapely and Game Theory in Federated Learning Environment. IEEE Access. 12. 123018–123037. 5 indexed citations
4.
Yenduri, Gokul, G. Deepti Raj, Y. Supriya, et al.. (2023). The Amalgamation of Federated Learning and Explainable ArtificialIntelligence for the Internet of Medical Things: A Review. Recent Advances in Computer Science and Communications. 17(4).
5.
Supriya, Y. & Thippa Reddy Gadekallu. (2023). A Survey on Soft Computing Techniques for Federated Learning- Applications, Challenges and Future Directions. Journal of Data and Information Quality. 15(2). 1–28. 24 indexed citations
6.
Supriya, Y. & Thippa Reddy Gadekallu. (2023). Particle Swarm-Based Federated Learning Approach for Early Detection of Forest Fires. Sustainability. 15(2). 964–964. 34 indexed citations
7.
Yenduri, Gokul, M. Ramalingam, Y. Supriya, et al.. (2023). Generative Pre-trained Transformer: A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions. arXiv (Cornell University). 31 indexed citations
8.
Supriya, Y., et al.. (2023). Firefly Optimized Federated SVM Model for Breast Cancer Prediction. 130–135. 3 indexed citations
9.
Yenduri, Gokul, Gautam Srivastava, Y. Supriya, et al.. (2023). Federated Learning for the Metaverse: A Short Survey. 1–10. 3 indexed citations
10.
Supriya, Y., Nancy Victor, Gautam Srivastava, & Thippa Reddy Gadekallu. (2023). A Hybrid Federated Learning Model for Insurance Fraud Detection. 1516–1522. 6 indexed citations

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by G. Deepti Raj Breakdown of academic impact, for papers by Dylan Slack Breakdown of academic impact, for papers by Weitao Ma Breakdown of academic impact, for papers by Waddah Saeed Breakdown of academic impact, for papers by José Bobes-Bascarán Breakdown of academic impact, for papers by Sophie Hilgard Breakdown of academic impact, for papers by Shaochen Zhong Breakdown of academic impact, for papers by Adrien Bibal Breakdown of academic impact, for papers by Hongye Jin Breakdown of academic impact, for papers by K. R. Chowdhary
Rankless by CCL
2026