V. Seethalakshmi

885 total citations · 1 hit paper
22 papers, 472 citations indexed

About

V. Seethalakshmi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, V. Seethalakshmi has authored 22 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 6 papers in Computer Networks and Communications and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in V. Seethalakshmi's work include AI in cancer detection (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers) and COVID-19 diagnosis using AI (5 papers). V. Seethalakshmi is often cited by papers focused on AI in cancer detection (5 papers), Internet Traffic Analysis and Secure E-voting (5 papers) and COVID-19 diagnosis using AI (5 papers). V. Seethalakshmi collaborates with scholars based in India, Morocco and Thailand. V. Seethalakshmi's co-authors include S. Suganyadevi, K. Balasamy, N. Krishnaraj, S. Ramesh, Rachana V Prabhu, P. Anandan, B. Praveen, Rajesh Kumar Dhanaraj and Mariya Ouaissa and has published in prestigious journals such as Scientific Reports, Medical & Biological Engineering & Computing and Wireless Personal Communications.

In The Last Decade

V. Seethalakshmi

19 papers receiving 440 citations

Hit Papers

A review on deep learning in medical image analysis 2021 2026 2022 2024 2021 100 200 300
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. A review on deep learning in medical image analysis
    2021 340 citations S. Suganyadevi, V. Seethalakshmi et al. International Journal of Multimedia Information Retrieval profile →

Peers

V. Seethalakshmi
S. Suganyadevi India
Ahmad Waleed Salehi India
K. Balasamy India
Hatem Khater Egypt
Megha Bhushan India
Xiaosheng Yu China
Amir Mosavi Hungary
Pan Su China
Adnan N. Qureshi Pakistan
S. Suganyadevi India
V. Seethalakshmi
Citations per year, relative to V. Seethalakshmi V. Seethalakshmi (= 1×) peers S. Suganyadevi

Countries citing papers authored by V. Seethalakshmi

Since Specialization
Citations

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

Fields of papers citing papers by V. Seethalakshmi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Seethalakshmi

This figure shows the co-authorship network connecting the top 25 collaborators of V. Seethalakshmi. A scholar is included among the top collaborators of V. Seethalakshmi 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 V. Seethalakshmi. V. Seethalakshmi 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.
Seethalakshmi, V., et al.. (2025). Small-signal stability analysis using kookaburra optimization for a wind turbine with a doubly fed induction generator. Journal of the Chinese Institute of Engineers. 49(3). 686–703.
2.
Prabhu, Rachana V & V. Seethalakshmi. (2025). A comprehensive framework for multi-modal hate speech detection in social media using deep learning. Scientific Reports. 15(1). 13020–13020. 1 indexed citations
3.
Suganyadevi, S. & V. Seethalakshmi. (2024). FACNN: fuzzy-based adaptive convolution neural network for classifying COVID-19 in noisy CXR images. Medical & Biological Engineering & Computing. 62(9). 2893–2909. 4 indexed citations
4.
Suganyadevi, S., et al.. (2024). Deep Learning Based Alzheimer Disease Diagnosis: A Comprehensive Review. SN Computer Science. 5(4). 8 indexed citations
5.
6.
7.
Seethalakshmi, V., Rajesh Kumar Dhanaraj, S. Suganyadevi, & Mariya Ouaissa. (2023). Homomorphic Encryption for Financial Cryptography. 1 indexed citations
8.
Suganyadevi, S., et al.. (2023). Integrated Model for Covid 19 Disease Diagnosis using Deep Learning Approach. 3 indexed citations
9.
Suganyadevi, S. & V. Seethalakshmi. (2023). Deep recurrent learning based qualified sequence segment analytical model (QS2AM) for infectious disease detection using CT images. Evolving Systems. 15(2). 505–521. 7 indexed citations
10.
Seethalakshmi, V., et al.. (2022). MIMO Antenna with Isolation Enrichment for 5G Mobile Information. Mobile Information Systems. 2022. 1–14. 12 indexed citations
11.
Suganyadevi, S. & V. Seethalakshmi. (2022). CVD-HNet: Classifying Pneumonia and COVID-19 in Chest X-ray Images Using Deep Network. Wireless Personal Communications. 126(4). 3279–3303. 28 indexed citations
12.
Krishnaraj, N., et al.. (2022). Mitigation Services on SDN for Distributed Denial of Service and Denial of Service Attacks Using Machine Learning Techniques. IETE Journal of Research. 70(1). 70–81. 13 indexed citations
13.
Seethalakshmi, V., et al.. (2022). Coherent Data Transmission Using Multiplexing for a DWDM Communication System. 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon). 1–4. 3 indexed citations
14.
Seethalakshmi, V., et al.. (2022). Machine Learning Approaches for Detecting Epileptic Seizures Based on Eeg Signals. 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon). 1–4. 2 indexed citations
15.
Suganyadevi, S., V. Seethalakshmi, & K. Balasamy. (2021). A review on deep learning in medical image analysis. International Journal of Multimedia Information Retrieval. 11(1). 19–38. 340 indexed citations breakdown →
16.
Seethalakshmi, V., et al.. (2021). Mitigation of Malicious Flooding in Software Defined Networks Using Dynamic Access Control List. Wireless Personal Communications. 121(1). 107–125. 9 indexed citations
17.
Seethalakshmi, V., et al.. (2021). Improved Network Monitoring Using Software-Defined Networking for DDoS Detection and Mitigation Evaluation. Wireless Personal Communications. 116(3). 2743–2757. 20 indexed citations
18.
Seethalakshmi, V., et al.. (2020). Feature Extraction for Face Recognition using Edge Detection and Thresholding. International Journal of Innovative Technology and Exploring Engineering. 9(7). 59–63.
19.
Seethalakshmi, V., et al.. (2020). Secure access of resources in software‐defined networks using dynamic access control list. International Journal of Communication Systems. 34(1). 14 indexed citations
20.
Seethalakshmi, V., et al.. (2020). Intrinsic Power Management Strategy based improvement of power stability in a single-phase AC–DC converter system. Microprocessors and Microsystems. 73. 102995–102995. 2 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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