S. Manimurugan

1.5k total citations
58 papers, 966 citations indexed

About

S. Manimurugan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, S. Manimurugan has authored 58 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 10 papers in Computer Networks and Communications. Recurrent topics in S. Manimurugan's work include Advanced Steganography and Watermarking Techniques (15 papers), Digital Media Forensic Detection (9 papers) and Advanced Data Compression Techniques (8 papers). S. Manimurugan is often cited by papers focused on Advanced Steganography and Watermarking Techniques (15 papers), Digital Media Forensic Detection (9 papers) and Advanced Data Compression Techniques (8 papers). S. Manimurugan collaborates with scholars based in Saudi Arabia, India and United States. S. Manimurugan's co-authors include C. Narmatha, Saad Almutairi, Majed Aborokbah, Subramaniam Ganesan, Naveen Chilamkurti, Rizwan Patan, R. Varatharajan, P. Manimegalai, K. Porkumaran and Riyadh A. Alzaheb and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

S. Manimurugan

50 papers receiving 896 citations

Peers

S. Manimurugan

CNC

CVPR

S. Velliangiri India

Samia Allaoua Chelloug Saudi Arabia

Danish Javeed China

Piyush Kumar Pareek India

Khondokar Fida Hasan Australia

Farhan Amin South Korea

Neelu Khare India

Jay Kumar China

B. R. Rajakumar India

S. Velliangiri India

S. Manimurugan

378 ×1.0

456 ×1.2

CNC

183 ×0.8

CVPR

154 ×0.8

292 ×1.8

Citations per year, relative to S. Manimurugan S. Manimurugan (= 1×) peers S. Velliangiri

Countries citing papers authored by S. Manimurugan

Since Specialization

Citations

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

Fields of papers citing papers by S. Manimurugan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Manimurugan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Aborokbah, Majed, et al.. (2025). TabNet‐SFO: An Intrusion Detection Model for Smart Water Management in Smart Cities. International Journal of Intelligent Systems. 2025(1). 2 indexed citations

Akbar, Muhammad Azeem, et al.. (2025). Driver Fatigue Warning Based on Medical Physiological Signal Monitoring for Transportation Cyber-Physical Systems. IEEE Transactions on Intelligent Transportation Systems. 26(9). 14237–14249.

Wang, Chao, et al.. (2025). Bridging clinical knowledge and AI: an interpretable transformer framework for ECG diagnosis. npj Digital Medicine. 9(1). 41–41.

Feng, Gang, S. Manimurugan, Bo Yi, & Yanhong Feng. (2025). Toward Precision Cardiac Healthcare: Deep Learning and IoT Integration for Real-Time Monitoring and Personalized Diagnosis. IEEE Internet of Things Journal. 12(22). 46104–46118. 1 indexed citations

Albalawi, Aishah E., et al.. (2025). Protecting digital assets using an ontology based cyber situational awareness system. Frontiers in Artificial Intelligence. 7. 1394363–1394363. 1 indexed citations

Aborokbah, Majed, et al.. (2025). Improved smart city security using a deep maxout network-based intrusion detection system with walrus optimization. PeerJ Computer Science. 11. e2743–e2743.

Wang, Xin, Adam Słowik, Bo Yi, S. Manimurugan, & Jinlei Liu. (2024). Emotion Recognition of Images Based on Label Enhancement for Consumer Electronics Applications. IEEE Transactions on Consumer Electronics. 71(1). 427–437. 1 indexed citations

Manimurugan, S., et al.. (2024). Enhancing Ice-Snow Consumer Electronics With AIoT: A Deep Reinforcement Learning Approach for Robust and Energy-Efficient Performance. IEEE Transactions on Consumer Electronics. 71(1). 1909–1917. 1 indexed citations

Rani, Shalli, et al.. (2024). Smart Medical Rescue via Efficient Vehicle Road Cooperation: AIoT Framework. IEEE Internet of Things Journal. 12(3). 3373–3384.

10.

Manimurugan, S., P. Karthikeyan, C. Narmatha, et al.. (2024). A hybrid Bi-LSTM and RBM approach for advanced underwater object detection. PLoS ONE. 19(11). e0313708–e0313708. 1 indexed citations

11.

Lv, Xiaohong, et al.. (2024). Quantum-Inspired Sensitive Data Measurement and Secure Transmission in 5G-Enabled Healthcare Systems. Tsinghua Science & Technology. 30(1). 456–478. 21 indexed citations

12.

Almutairi, Saad, S. Manimurugan, Majed Aborokbah, et al.. (2023). An Efficient USE‐Net Deep Learning Model for Cancer Detection. International Journal of Intelligent Systems. 2023(1). 9 indexed citations

13.

Suresh, M., et al.. (2023). Transfer Learning for Image-Based Malware Detection for IoT. Sensors. 23(6). 3253–3253. 15 indexed citations

14.

Manimurugan, S., et al.. (2022). Multiclass Classification for Detection of COVID-19 Infection in Chest X-Rays Using CNN. Computational Intelligence and Neuroscience. 2022. 1–11. 5 indexed citations

15.

Manimurugan, S., et al.. (2020). A New Modified Recurrent Extreme Learning with PSO Machine Based on Feature Fusion with CNN Deep Features for Breast Cancer Detection. 1(3). 15–21. 43 indexed citations

16.

Manimurugan, S.. (2020). Classification of Alzheimer's disease from MRI Images using CNN based Pre-trained VGG-19 Model. 1(2). 34–41. 11 indexed citations

17.

Almutairi, Saad & S. Manimurugan. (2017). The clandestine image transmission scheme to prevent from the intruders. International Journal of ADVANCED AND APPLIED SCIENCES. 4(2). 52–60. 22 indexed citations

18.

Manimurugan, S., et al.. (2012). A Tailored Anti-forensic Technique for Digital Image Applications. International Journal of Computer Applications. 53(9). 14–20. 1 indexed citations

19.

Manimurugan, S., et al.. (2010). Novel Approach for Medical Image Compression using Efficient Hybrid Image Coder. 2(10). 382–386. 1 indexed citations

20.

Manimurugan, S., et al.. (2010). A Lossless Compression Technique with Forgery Detection. 2(10). 395–400. 1 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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