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

align trajectories

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.

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

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

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20 of 20 papers shown

#	Work	Indexed citations
1	Small-signal stability analysis using kookaburra optimization for a wind turbine with a doubly fed induction generator 2025 ·Journal of the Chinese Institute of Engineers ·V. Seethalakshmi, B. Praveen, (unknown)	0
2	A comprehensive framework for multi-modal hate speech detection in social media using deep learning 2025 ·Scientific Reports ·Rachana V Prabhu, V. Seethalakshmi	1
3	FACNN: fuzzy-based adaptive convolution neural network for classifying COVID-19 in noisy CXR images 2024 ·Medical & Biological Engineering & Computing ·S. Suganyadevi, V. Seethalakshmi	4
4	Deep Learning Based Alzheimer Disease Diagnosis: A Comprehensive Review 2024 ·SN Computer Science ·S. Suganyadevi, (unknown), K. Balasamy, V. Seethalakshmi, (unknown), (unknown)	8
5	Retraction notice to “Application of Machine Learning and Big Data in Doubly Fed Induction Generator based Stability Analysis of Multi Machine System using Substantial Transformative Optimization Algorithm” [Microprocessors and Microsystems 73 (2020) 102971] 2023 ·Microprocessors and Microsystems ·V. Seethalakshmi, (unknown), (unknown), (unknown)	0
6	A Low Power Clock Gated Approximate Pruned and Truncated HDWT for Power-Efficient ECG Signal Processing 2023 ·(unknown), V. Seethalakshmi, S. Ramesh, (unknown)	2
7	Homomorphic Encryption for Financial Cryptography 2023 ·V. Seethalakshmi, Rajesh Kumar Dhanaraj, S. Suganyadevi, Mariya Ouaissa	1
8	Integrated Model for Covid 19 Disease Diagnosis using Deep Learning Approach 2023 ·S. Suganyadevi, V. Seethalakshmi, P. Anandan, (unknown)	3
9	Deep recurrent learning based qualified sequence segment analytical model (QS2AM) for infectious disease detection using CT images 2023 ·Evolving Systems ·S. Suganyadevi, V. Seethalakshmi	7
10	MIMO Antenna with Isolation Enrichment for 5G Mobile Information 2022 ·Mobile Information Systems ·(unknown), V. Seethalakshmi	12
11	CVD-HNet: Classifying Pneumonia and COVID-19 in Chest X-ray Images Using Deep Network 2022 ·Wireless Personal Communications ·S. Suganyadevi, V. Seethalakshmi	28
12	Mitigation Services on SDN for Distributed Denial of Service and Denial of Service Attacks Using Machine Learning Techniques 2022 ·IETE Journal of Research ·(unknown), N. Krishnaraj, V. Seethalakshmi	13
13	Coherent Data Transmission Using Multiplexing for a DWDM Communication System 2022 ·2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon) ·(unknown), V. Seethalakshmi, (unknown), (unknown), (unknown), (unknown)	3
14	Machine Learning Approaches for Detecting Epileptic Seizures Based on Eeg Signals 2022 ·2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon) ·V. Seethalakshmi, (unknown), (unknown), (unknown), (unknown), (unknown)	2
15	A review on deep learning in medical image analysis breakdown → 2021 ·International Journal of Multimedia Information Retrieval ·S. Suganyadevi, V. Seethalakshmi, K. Balasamy	340
16	Mitigation of Malicious Flooding in Software Defined Networks Using Dynamic Access Control List 2021 ·Wireless Personal Communications ·(unknown), V. Seethalakshmi	9
17	Improved Network Monitoring Using Software-Defined Networking for DDoS Detection and Mitigation Evaluation 2021 ·Wireless Personal Communications ·(unknown), V. Seethalakshmi	20
18	Feature Extraction for Face Recognition using Edge Detection and Thresholding 2020 ·International Journal of Innovative Technology and Exploring Engineering ·(unknown), (unknown), V. Seethalakshmi, (unknown)	0
19	Secure access of resources in software‐defined networks using dynamic access control list 2020 ·International Journal of Communication Systems ·(unknown), V. Seethalakshmi	14
20	Intrinsic Power Management Strategy based improvement of power stability in a single-phase AC–DC converter system 2020 ·Microprocessors and Microsystems ·(unknown), (unknown), V. Seethalakshmi	2

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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