N. Yuvaraj

1.7k total citations
50 papers, 625 citations indexed

About

N. Yuvaraj is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, N. Yuvaraj has authored 50 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 12 papers in Electrical and Electronic Engineering and 10 papers in Artificial Intelligence. Recurrent topics in N. Yuvaraj's work include IoT and Edge/Fog Computing (6 papers), Cloud Computing and Resource Management (6 papers) and Network Security and Intrusion Detection (4 papers). N. Yuvaraj is often cited by papers focused on IoT and Edge/Fog Computing (6 papers), Cloud Computing and Resource Management (6 papers) and Network Security and Intrusion Detection (4 papers). N. Yuvaraj collaborates with scholars based in India, United States and Saudi Arabia. N. Yuvaraj's co-authors include K. Srihari, Gaurav Dhiman, R. Arshath Raja, Sachi Nandan Mohanty, P. Vivekanandan, Rizwan Patan, Suresh Kallam, Amir H. Gandomi, Victor Chang and Venkatesa Prabhu Sundramurthy and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sustainability.

In The Last Decade

N. Yuvaraj

37 papers receiving 583 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. Yuvaraj India 16 206 155 144 92 85 50 625
Myriam Hadjouni Saudi Arabia 17 226 1.1× 177 1.1× 114 0.8× 89 1.0× 108 1.3× 38 685
Mohammad Khalid Imam Rahmani Saudi Arabia 13 152 0.7× 137 0.9× 85 0.6× 77 0.8× 91 1.1× 55 529
M. Sivaram Iraq 15 174 0.8× 256 1.7× 162 1.1× 92 1.0× 92 1.1× 58 732
Hamid Mcheick Canada 14 159 0.8× 179 1.2× 81 0.6× 98 1.1× 172 2.0× 106 680
Sunil L. Bangare India 12 210 1.0× 208 1.3× 127 0.9× 126 1.4× 121 1.4× 32 733
Anupam Baliyan India 15 141 0.7× 104 0.7× 74 0.5× 81 0.9× 94 1.1× 36 767
Debabrata Samanta India 15 205 1.0× 190 1.2× 112 0.8× 186 2.0× 155 1.8× 93 876
Joy Iong‐Zong Chen Taiwan 10 167 0.8× 150 1.0× 140 1.0× 88 1.0× 77 0.9× 70 485
Tai-hoon Kim South Korea 12 182 0.9× 165 1.1× 160 1.1× 154 1.7× 125 1.5× 60 648
Furqan Alam Saudi Arabia 8 187 0.9× 305 2.0× 275 1.9× 102 1.1× 123 1.4× 13 792

Countries citing papers authored by N. Yuvaraj

Since Specialization
Citations

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

Fields of papers citing papers by N. Yuvaraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Yuvaraj

This figure shows the co-authorship network connecting the top 25 collaborators of N. Yuvaraj. A scholar is included among the top collaborators of N. Yuvaraj 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 N. Yuvaraj. N. Yuvaraj 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
3.
Wadhwa, Girish, et al.. (2025). Federated learning for sustainable IoT appliance load monitoring at the edge devices. Discover Sustainability. 6(1).
5.
Baz, Abdullah, J. Logeshwaran, N. Yuvaraj, & Shobhit K. Patel. (2024). Enhancing mobility management in 5G networks using deep residual LSTM model. Applied Soft Computing. 165. 112103–112103. 14 indexed citations
6.
Sivakumaran, Dhanasekaran, et al.. (2024). Utilizing Cloud Computing for Distributed Training of Deep Learning Models. 1–6. 8 indexed citations
9.
11.
Yuvaraj, N., et al.. (2023). Traffic Pattern Classification in Smart Cities Using Deep Recurrent Neural Network. Sustainability. 15(19). 14522–14522. 26 indexed citations
12.
Yuvaraj, N., et al.. (2023). Improving Performance of Intrusion Detection Using ALO Selected Features and GRU Network. SN Computer Science. 4(6). 14 indexed citations
13.
14.
Ponnusamy, Muruganantham, et al.. (2022). Design and analysis of text document clustering using salp swarm algorithm. The Journal of Supercomputing. 78(14). 16197–16213. 12 indexed citations
15.
Jaikumar, Ramchandran, et al.. (2022). Design of Resources Allocation in 6G Cybertwin Technology Using the Fuzzy Neuro Model in Healthcare Systems. Journal of Healthcare Engineering. 2022. 1–9. 18 indexed citations
16.
Yuvaraj, N., et al.. (2021). Automatic detection of cyberbullying using multi-feature based artificial intelligence with deep decision tree classification. Computers & Electrical Engineering. 92. 107186–107186. 63 indexed citations
17.
Yuvaraj, N., et al.. (2021). Analysis of protein-ligand interactions of SARS-CoV-2 against selective drug using deep neural networks. Big Data Mining and Analytics. 4(2). 76–83. 36 indexed citations
18.
Khadidos, Adil O., Alaa O. Khadidos, K. Srihari, et al.. (2020). Analysis of COVID-19 Infections on a CT Image Using DeepSense Model. Frontiers in Public Health. 8. 599550–599550. 29 indexed citations
19.
Yuvaraj, N., et al.. (2018). Analysis on Improving the Response Time with PIDSARSA-RAL in ClowdFlows Mining Platform. EAI Endorsed Transactions on Energy Web. 5(20). e2–e2. 9 indexed citations
20.
Yuvaraj, N., et al.. (2018). High-performance link-based cluster ensemble approach for categorical data clustering. The Journal of Supercomputing. 76(6). 4556–4579. 11 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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