S. Suganyadevi

1.1k total citations · 1 hit paper
25 papers, 585 citations indexed

About

S. Suganyadevi is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, S. Suganyadevi has authored 25 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Computer Vision and Pattern Recognition and 9 papers in Artificial Intelligence. Recurrent topics in S. Suganyadevi's work include AI in cancer detection (9 papers), COVID-19 diagnosis using AI (8 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). S. Suganyadevi is often cited by papers focused on AI in cancer detection (9 papers), COVID-19 diagnosis using AI (8 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). S. Suganyadevi collaborates with scholars based in India, Morocco and United States. S. Suganyadevi's co-authors include K. Balasamy, V. Seethalakshmi, Vishwanadham Mandala, R. Dhanapal, Arun Sekar Rajasekaran, P. Jeyanthi, P. Anandan, Mariya Ouaissa, S. Usha and P. Thangaraj and has published in prestigious journals such as Multimedia Tools and Applications, Medical & Biological Engineering & Computing and Wireless Personal Communications.

In The Last Decade

S. Suganyadevi

20 papers receiving 562 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

S. Suganyadevi
K. Balasamy India
V. Seethalakshmi India
Najah Alsubaie Saudi Arabia
K. Swaraja India
Ahmad Waleed Salehi India
Xujing Yao United Kingdom
Sidratul Montaha Australia
Marwa Obayya Saudi Arabia
Omar Hisham Alsadoon Iraq
Prakash Choudhary India
K. Balasamy India
S. Suganyadevi
Citations per year, relative to S. Suganyadevi S. Suganyadevi (= 1×) peers K. Balasamy

Countries citing papers authored by S. Suganyadevi

Since Specialization
Citations

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

Fields of papers citing papers by S. Suganyadevi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S. Suganyadevi. A scholar is included among the top collaborators of S. Suganyadevi 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. Suganyadevi. S. Suganyadevi 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
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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.
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
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Rajasekaran, Arun Sekar, et al.. (2023). A Secure Authenticated Message Transfer in Healthcare Application. 1. 1–6. 6 indexed citations
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Seethalakshmi, V., Rajesh Kumar Dhanaraj, S. Suganyadevi, & Mariya Ouaissa. (2023). Homomorphic Encryption for Financial Cryptography. 1 indexed citations
9.
Suganyadevi, S., et al.. (2023). Integrated Model for Covid 19 Disease Diagnosis using Deep Learning Approach. 3 indexed citations
10.
Thangaraj, P., et al.. (2023). Deep learning based Covid-19 image classification from CT and X-ray images. AIP conference proceedings. 2899. 60015–60015.
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Suganyadevi, S., et al.. (2023). A Finger Vein Image-based Person Recognition System using BCH Codes to Access Medical Records. 1758–1765. 1 indexed citations
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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
14.
Suganyadevi, S., et al.. (2023). Alzheimer’s Disease Diagnosis using Deep Learning Approach. 1205–1209. 7 indexed citations
15.
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
16.
Suganyadevi, S., et al.. (2022). Classification of EEG signals using Machine learning algorithms. 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon). 1–6. 11 indexed citations
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Suganyadevi, S., et al.. (2022). Smart Healthcare in IoT using Convolutional Based Cyber Physical System. 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon). 1–6. 12 indexed citations
18.
Suganyadevi, S., et al.. (2022). Diabetic Retinopathy Detection Using Deep Learning Methods. 1–6. 25 indexed citations
19.
Suganyadevi, S., et al.. (2022). Securing Medical Big data through Blockchain technology. 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS). 1602–1607. 18 indexed citations
20.
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 →

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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