Jayakrushna Sahoo

490 total citations
30 papers, 297 citations indexed

About

Jayakrushna Sahoo is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jayakrushna Sahoo has authored 30 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 7 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jayakrushna Sahoo's work include Data Mining Algorithms and Applications (5 papers), Rough Sets and Fuzzy Logic (4 papers) and Smart Agriculture and AI (4 papers). Jayakrushna Sahoo is often cited by papers focused on Data Mining Algorithms and Applications (5 papers), Rough Sets and Fuzzy Logic (4 papers) and Smart Agriculture and AI (4 papers). Jayakrushna Sahoo collaborates with scholars based in India, Norway and Serbia. Jayakrushna Sahoo's co-authors include Ebin Deni Raj, Adrijit Goswami, Ashok Kumar Das, Ranjeet Kumar Singh, Sumit Kumar, Sanjeev Kumar Pippal, Oommen K. Mathew, Raghavendra Kenchaiah, Ravindranadh Chowdary Mundlamuri and A. G. Ramakrishnan and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

Jayakrushna Sahoo

24 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jayakrushna Sahoo India 9 151 126 71 41 40 30 297
Allaoua Chaoui Algeria 10 154 1.0× 184 1.5× 107 1.5× 83 2.0× 13 0.3× 95 365
Goichiro Hanaoka Japan 10 346 2.3× 130 1.0× 74 1.0× 73 1.8× 22 0.6× 98 409
Yue Han China 8 180 1.2× 59 0.5× 11 0.2× 82 2.0× 51 1.3× 15 318
Rui Jiang China 11 176 1.2× 196 1.6× 17 0.2× 93 2.3× 11 0.3× 33 315
Rafael Dowsley United States 13 361 2.4× 212 1.7× 37 0.5× 119 2.9× 18 0.5× 34 511
Carlo Bellettini Italy 10 102 0.7× 135 1.1× 41 0.6× 62 1.5× 38 0.9× 39 307
Bi-Ru Dai Taiwan 9 232 1.5× 115 0.9× 18 0.3× 33 0.8× 136 3.4× 26 348
Byoungcheon Lee South Korea 12 281 1.9× 132 1.0× 32 0.5× 138 3.4× 14 0.3× 25 391
Zaixi Zhang China 10 505 3.3× 81 0.6× 19 0.3× 82 2.0× 37 0.9× 16 587

Countries citing papers authored by Jayakrushna Sahoo

Since Specialization
Citations

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

Fields of papers citing papers by Jayakrushna Sahoo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jayakrushna Sahoo

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

All Works

20 of 20 papers shown
1.
Sahoo, Jayakrushna, et al.. (2025). Attention-enhanced corn disease diagnosis using few-shot learning and VGG16. MethodsX. 14. 103172–103172. 5 indexed citations
2.
Ramakrishnan, A. G., Raghavendra Kenchaiah, Jayakrushna Sahoo, et al.. (2025). Functional connectivity in EEG: a multiclass classification approach for disorders of consciousness. Frontiers in Neuroscience. 19. 1550581–1550581.
3.
Raj, Ebin Deni, et al.. (2025). Efficiency and Performance Optimization in Large Language Models through IB Fine-Tuning. ACM Transactions on Intelligent Systems and Technology. 16(3). 1–23.
4.
Çöleri, Sinem, et al.. (2025). Incentivized Federated Learning: A Survey. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(5). 3190–3209.
5.
Sahoo, Jayakrushna, et al.. (2025). Enhancing mammogram classification using explainable Conditional Self-Attention Generative Adversarial Network. Expert Systems with Applications. 293. 128640–128640. 1 indexed citations
6.
Sahoo, Jayakrushna, et al.. (2025). A novel framework GRCornShot for corn disease detection using few shot learning with prototypical network. Scientific Reports. 15(1). 26461–26461.
7.
Sahoo, Jayakrushna, et al.. (2024). CNN-BLSTM based deep learning framework for eukaryotic kinome classification: An explainability based approach. Computational Biology and Chemistry. 112. 108169–108169. 2 indexed citations
8.
Sahoo, Jayakrushna, et al.. (2024). Anomaly detection and prediction of energy consumption for smart homes using machine learning. ETRI Journal. 47(5). 934–945. 2 indexed citations
9.
Kenchaiah, Raghavendra, Jayakrushna Sahoo, Ravindranadh Chowdary Mundlamuri, et al.. (2024). Variational mode decomposition-based EEG analysis for the classification of disorders of consciousness. Frontiers in Neuroscience. 18. 1340528–1340528. 8 indexed citations
10.
Sahoo, Jayakrushna, et al.. (2024). Corn Disease Detection Using Few-Shot Learning Prototypical Network. 1379–1383. 1 indexed citations
11.
Sahoo, Jayakrushna, et al.. (2024). A lightweight FL-based UAV detection model using thermal images. 1–5. 2 indexed citations
12.
Sahoo, Jayakrushna, et al.. (2023). Privacy preserving Federated Learning framework for IoMT based big data analysis using edge computing. Computer Standards & Interfaces. 86. 103720–103720. 66 indexed citations
13.
Sahoo, Jayakrushna, et al.. (2023). An Exploration and Exploitation-Based Metaheuristic Approach for University Course Timetabling Problems. Axioms. 12(8). 720–720. 1 indexed citations
14.
Sahoo, Jayakrushna, et al.. (2023). PRIMϵ: Novel Privacy-Preservation Model With Pattern Mining and Genetic Algorithm. IEEE Transactions on Information Forensics and Security. 19. 571–585. 3 indexed citations
15.
Raj, Ebin Deni, et al.. (2023). A robust analysis of adversarial attacks on federated learning environments. Computer Standards & Interfaces. 86. 103723–103723. 43 indexed citations
16.
17.
Mathew, Oommen K., et al.. (2022). CNN-LSTM based classification of polo like kinase family of Proteins: An emerging cancer drug target. Materials Today Proceedings. 58. 445–450. 3 indexed citations
18.
Singh, Ranjeet Kumar, et al.. (2017). A secure and robust block based DWT-SVD image watermarking approach. Journal of Information and Optimization Sciences. 38(6). 911–925. 18 indexed citations
19.
Sahoo, Jayakrushna, et al.. (2015). Association Rule Mining Approach in Strategy Planning for Team India in ICC World Cup 2015. 616–621. 8 indexed citations
20.
Sahoo, Jayakrushna, Ashok Kumar Das, & Adrijit Goswami. (2014). An effective association rule mining scheme using a new generic basis. Knowledge and Information Systems. 43(1). 127–156. 22 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.

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