K. Balasamy

1.2k total citations · 1 hit paper
19 papers, 610 citations indexed

About

K. Balasamy is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, K. Balasamy has authored 19 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in K. Balasamy's work include Advanced Steganography and Watermarking Techniques (8 papers), Chaos-based Image/Signal Encryption (7 papers) and Digital Media Forensic Detection (6 papers). K. Balasamy is often cited by papers focused on Advanced Steganography and Watermarking Techniques (8 papers), Chaos-based Image/Signal Encryption (7 papers) and Digital Media Forensic Detection (6 papers). K. Balasamy collaborates with scholars based in India, Thailand and Canada. K. Balasamy's co-authors include S. Suganyadevi, V. Seethalakshmi, S. Ramakrishnan, N. Krishnaraj and P. Balasubramanie and has published in prestigious journals such as Biomedical Signal Processing and Control, Multimedia Tools and Applications and Wireless Personal Communications.

In The Last Decade

K. Balasamy

17 papers receiving 584 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 — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K. Balasamy India 9 265 177 162 97 66 19 610
S. Suganyadevi India 9 204 0.8× 176 1.0× 173 1.1× 90 0.9× 72 1.1× 25 585
Meenakshi Sood India 13 220 0.8× 219 1.2× 82 0.5× 107 1.1× 58 0.9× 65 572
Xujing Yao United Kingdom 8 179 0.7× 165 0.9× 201 1.2× 95 1.0× 76 1.2× 11 617
Marwa Obayya Saudi Arabia 15 172 0.6× 191 1.1× 283 1.7× 141 1.5× 57 0.9× 78 725
Asim Munir Pakistan 10 245 0.9× 134 0.8× 186 1.1× 167 1.7× 55 0.8× 21 486
Sang‐Woong Lee South Korea 10 212 0.8× 116 0.7× 232 1.4× 91 0.9× 55 0.8× 19 519
Xiaosheng Yu China 13 376 1.4× 204 1.2× 153 0.9× 47 0.5× 69 1.0× 99 653
Ahmed Atwan Egypt 12 177 0.7× 159 0.9× 104 0.6× 69 0.7× 55 0.8× 42 492
V. Seethalakshmi India 8 118 0.4× 142 0.8× 165 1.0× 61 0.6× 67 1.0× 22 472
Haijun Lei China 16 434 1.6× 192 1.1× 201 1.2× 80 0.8× 43 0.7× 58 865

Countries citing papers authored by K. Balasamy

Since Specialization
Citations

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

Fields of papers citing papers by K. Balasamy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K. Balasamy

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

All Works

19 of 19 papers shown
1.
Balasamy, K., et al.. (2024). Multi-dimensional fuzzy based diabetic retinopathy detection in retinal images through deep CNN method. Multimedia Tools and Applications. 84(18). 19625–19645. 8 indexed citations
2.
Balasamy, K., et al.. (2024). HCO-RLF: Hybrid classification optimization using recurrent learning and fuzzy for COVID-19 detection on CT images. Biomedical Signal Processing and Control. 100. 106951–106951. 2 indexed citations
3.
4.
Suganyadevi, S., et al.. (2024). Deep Learning Based Alzheimer Disease Diagnosis: A Comprehensive Review. SN Computer Science. 5(4). 8 indexed citations
5.
Balasamy, K., et al.. (2024). Medical Image Analysis Through Deep Learning Techniques: A Comprehensive Survey. Wireless Personal Communications. 137(3). 1685–1714. 8 indexed citations
6.
Balasamy, K., et al.. (2023). Optimization techniques for preserving privacy in data mining. 1–6. 1 indexed citations
7.
Balasamy, K., et al.. (2023). Advanced Grape Leaf Disease Detection using Neural Network. 949–954. 3 indexed citations
8.
Balasamy, K., et al.. (2023). An Effective Framework for Detecting Epileptic Seizures using CNN and Encrypted EEG Signals. 611–617. 4 indexed citations
9.
Balasamy, K., et al.. (2023). A secure framework for medical image by integrating watermarking and encryption through fuzzy based ROI selection. Journal of Intelligent & Fuzzy Systems. 44(5). 7449–7457. 8 indexed citations
10.
Balasamy, K., et al.. (2022). Improving the security of medical image through neuro-fuzzy based ROI selection for reliable transmission. Multimedia Tools and Applications. 81(10). 14321–14337. 20 indexed citations
11.
Suganyadevi, S., et al.. (2022). Diabetic Retinopathy Detection Using Deep Learning Methods. 1–6. 25 indexed citations
12.
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 →
13.
Balasamy, K., et al.. (2021). An Adaptive Neuro-Fuzzy Based Region Selection and Authenticating Medical Image Through Watermarking for Secure Communication. Wireless Personal Communications. 122(3). 2817–2837. 16 indexed citations
14.
Balasamy, K., et al.. (2021). Feature Extraction-based Medical Image Watermarking Using Fuzzy-based Median Filter. IETE Journal of Research. 69(1). 83–91. 37 indexed citations
15.
Balasamy, K. & S. Suganyadevi. (2020). A fuzzy based ROI selection for encryption and watermarking in medical image using DWT and SVD. Multimedia Tools and Applications. 80(5). 7167–7186. 72 indexed citations
16.
Balasamy, K. & S. Ramakrishnan. (2018). An intelligent reversible watermarking system for authenticating medical images using Wavelet and PSO. Cluster Computing. 22(S2). 4431–4442. 41 indexed citations
17.
Ramakrishnan, S., et al.. (2011). A Wavelet Based Hybrid SVD Algorithm for Digital Image Watermarking. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
18.
Ramakrishnan, S., et al.. (2011). Lyapunov features based EEG signal classification by multi-class SVM. 197–201. 10 indexed citations
19.
Ramakrishnan, S., et al.. (2011). Semi fragile watermarking using Gaussian mixture model for malicious image attacks. 3971. 120–125. 6 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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2026