Yuvaraj Natarajan

856 total citations
39 papers, 423 citations indexed

About

Yuvaraj Natarajan is a scholar working on Artificial Intelligence, Civil and Structural Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Yuvaraj Natarajan has authored 39 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 7 papers in Civil and Structural Engineering and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Yuvaraj Natarajan's work include Seismology and Earthquake Studies (4 papers), Infrastructure Maintenance and Monitoring (4 papers) and Energy Load and Power Forecasting (3 papers). Yuvaraj Natarajan is often cited by papers focused on Seismology and Earthquake Studies (4 papers), Infrastructure Maintenance and Monitoring (4 papers) and Energy Load and Power Forecasting (3 papers). Yuvaraj Natarajan collaborates with scholars based in India, South Korea and United States. Yuvaraj Natarajan's co-authors include K. R. Sri Preethaa, Bubryur Kim, Dong‐Eun Lee, Gang Hu, Girish Wadhwa, Ahmed Ali, K.C.S. Kwok, Anand Paul, Shobhit K. Patel and J. Logeshwaran and has published in prestigious journals such as Sensors, Sustainability and Applied Soft Computing.

In The Last Decade

Yuvaraj Natarajan

36 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuvaraj Natarajan India 13 114 74 61 61 60 39 423
A. Helen Victoria India 4 114 1.0× 38 0.5× 40 0.7× 68 1.1× 25 0.4× 6 405
King Ma Canada 4 109 1.0× 24 0.3× 40 0.7× 69 1.1× 40 0.7× 11 348
Saeed Asil Gharebaghi Iran 12 127 1.1× 185 2.5× 21 0.3× 59 1.0× 63 1.1× 30 583
Nivin A. Ghamry Egypt 14 103 0.9× 110 1.5× 13 0.2× 118 1.9× 65 1.1× 36 541
Eustace M. Dogo South Africa 11 129 1.1× 43 0.6× 60 1.0× 64 1.0× 21 0.3× 26 495
Pedro Lara-Benítez Spain 6 85 0.7× 31 0.4× 34 0.6× 112 1.8× 35 0.6× 7 425
Satya Bir Singh India 6 74 0.6× 40 0.5× 23 0.4× 95 1.6× 21 0.3× 16 419
Michael S. Pukish United States 4 121 1.1× 27 0.4× 21 0.3× 89 1.5× 21 0.3× 9 332
Antonello Rosato Italy 15 256 2.2× 58 0.8× 37 0.6× 358 5.9× 25 0.4× 59 659
Peihua Han Norway 15 71 0.6× 71 1.0× 42 0.7× 20 0.3× 23 0.4× 44 519

Countries citing papers authored by Yuvaraj Natarajan

Since Specialization
Citations

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

Fields of papers citing papers by Yuvaraj Natarajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuvaraj Natarajan

This figure shows the co-authorship network connecting the top 25 collaborators of Yuvaraj Natarajan. A scholar is included among the top collaborators of Yuvaraj Natarajan 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 Yuvaraj Natarajan. Yuvaraj Natarajan 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.
Kim, Bubryur, et al.. (2024). Real-time assessment of rebar intervals using a computer vision-based DVNet model for improved structural integrity. Case Studies in Construction Materials. 21. e03707–e03707. 1 indexed citations
2.
Baz, Abdullah, J. Logeshwaran, Yuvaraj Natarajan, & Shobhit K. Patel. (2024). Deep fuzzy nets approach for energy efficiency optimization in smart grids. Applied Soft Computing. 161. 111724–111724. 15 indexed citations
3.
Kim, Bubryur, et al.. (2024). Predicting the performance of L-shaped confined flapping-foil energy harvester: A deep learning approach. Ocean Engineering. 313. 119455–119455. 4 indexed citations
4.
Natarajan, Yuvaraj, et al.. (2024). Enhancing Building Energy Efficiency with IoT-Driven Hybrid Deep Learning Models for Accurate Energy Consumption Prediction. Sustainability. 16(5). 1925–1925. 23 indexed citations
5.
6.
Natarajan, Yuvaraj, et al.. (2024). A Robust TrafficSignNet Algorithm for Enhanced Traffic Sign Recognition in Autonomous Vehicles Under Varying Light Conditions. Neural Processing Letters. 56(5). 2 indexed citations
7.
Natarajan, Yuvaraj, et al.. (2024). A Novel Hybrid Feature Selection with Cascaded LSTM: Enhancing Security in IoT Networks. Wireless Communications and Mobile Computing. 2024. 1–15. 16 indexed citations
8.
Logeshwaran, J., et al.. (2024). Incremental RBF-based cross-tier interference mitigation for resource-constrained dense IoT networks in 5G communication system. Heliyon. 10(12). e32849–e32849. 5 indexed citations
9.
Natarajan, Yuvaraj, et al.. (2023). Earthquake Damage Prediction and Rapid Assessment of Building Damage Using Machine Learning.. 223. 1–5. 2 indexed citations
10.
Natarajan, Yuvaraj, Girish Wadhwa, K. R. Sri Preethaa, & Anand Paul. (2023). Forecasting Carbon Dioxide Emissions of Light-Duty Vehicles with Different Machine Learning Algorithms. Electronics. 12(10). 2288–2288. 25 indexed citations
11.
Preethaa, K. R. Sri, et al.. (2023). Novel ANOVA-Statistic-Reduced Deep Fully Connected Neural Network for the Damage Grade Prediction of Post-Earthquake Buildings. Sensors. 23(14). 6439–6439. 13 indexed citations
12.
Preethaa, K. R. Sri, et al.. (2023). A Comprehensive Review on Machine Learning Techniques for Forecasting Wind Flow Pattern. Sustainability. 15(17). 12914–12914. 15 indexed citations
13.
Preethaa, K. R. Sri, et al.. (2023). Feature Selection Graph Neural Network for Optimized Node Categorization. IEEE Transactions on Consumer Electronics. 70(1). 2872–2883.
14.
Natarajan, Yuvaraj, et al.. (2023). An Overview of Different Types of Recommendations Systems - A Survey. 1–5. 9 indexed citations
15.
16.
Preethaa, K. R. Sri, et al.. (2022). A Stacked Generalization Model to Enhance Prediction of Earthquake-Induced Soil Liquefaction. Sensors. 22(19). 7292–7292. 8 indexed citations
17.
Kim, Bubryur, et al.. (2022). Ensemble Machine Learning-Based Approach for Predicting of FRP–Concrete Interfacial Bonding. Mathematics. 10(2). 231–231. 49 indexed citations
18.
Kim, Bubryur, Yuvaraj Natarajan, M. Shyamala Devi, et al.. (2022). Deep Learning Activation Layer-Based Wall Quality Recognition Using Conv2D ResNet Exponential Transfer Learning Model. Mathematics. 10(23). 4602–4602. 10 indexed citations
19.
Kim, Bubryur, Dong‐Eun Lee, K. R. Sri Preethaa, et al.. (2021). Predicting wind flow around buildings using deep learning. Journal of Wind Engineering and Industrial Aerodynamics. 219. 104820–104820. 37 indexed citations
20.
Natarajan, Yuvaraj, et al.. (2021). A Hybrid Speech Enhancement Algorithm for Voice Assistance Application. Sensors. 21(21). 7025–7025. 34 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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