S. Sudha

666 total citations
27 papers, 452 citations indexed

About

S. Sudha is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Electrical and Electronic Engineering. According to data from OpenAlex, S. Sudha has authored 27 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Media Technology and 6 papers in Electrical and Electronic Engineering. Recurrent topics in S. Sudha's work include Image and Signal Denoising Methods (8 papers), Advanced Image Fusion Techniques (6 papers) and Cardiovascular Disease and Adiposity (3 papers). S. Sudha is often cited by papers focused on Image and Signal Denoising Methods (8 papers), Advanced Image Fusion Techniques (6 papers) and Cardiovascular Disease and Adiposity (3 papers). S. Sudha collaborates with scholars based in India, Malaysia and United States. S. Sudha's co-authors include G. Suresh, R. Sukanesh, K Sangeetha, K. Jayanthi, A. Ebenezer Jeyakumar, Nirmala Madian, P. Neelamegam, A. Srinivasan, Vijay Anand and D. Narasimhan and has published in prestigious journals such as Journal of Medical Systems, Computational Geosciences and Mathematical Biosciences & Engineering.

In The Last Decade

S. Sudha

23 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Sudha India 11 244 152 51 47 45 27 452
C. Chinrungrueng Thailand 7 119 0.5× 27 0.2× 98 1.9× 15 0.3× 45 1.0× 22 298
Tao Zhong China 8 273 1.1× 48 0.3× 47 0.9× 25 0.5× 55 1.2× 17 398
Hongyang Zhang China 9 190 0.8× 66 0.4× 59 1.2× 4 0.1× 31 0.7× 18 382
Chengdong Wu China 11 228 0.9× 71 0.5× 38 0.7× 4 0.1× 13 0.3× 36 293
Yang Jia China 12 193 0.8× 13 0.1× 65 1.3× 5 0.1× 32 0.7× 54 410
Frank Jiang Australia 11 109 0.4× 23 0.2× 52 1.0× 410 8.7× 101 2.2× 35 672
Misha Urooj Khan Pakistan 11 103 0.4× 9 0.1× 49 1.0× 13 0.3× 45 1.0× 30 315
Chuliang Wei China 11 72 0.3× 48 0.3× 109 2.1× 2 0.0× 82 1.8× 42 386
Chuan Wang China 14 368 1.5× 60 0.4× 31 0.6× 3 0.1× 45 1.0× 32 579
Ravinder Kaur India 9 66 0.3× 16 0.1× 90 1.8× 4 0.1× 87 1.9× 20 364

Countries citing papers authored by S. Sudha

Since Specialization
Citations

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

Fields of papers citing papers by S. Sudha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S. Sudha. A scholar is included among the top collaborators of S. Sudha 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. Sudha. S. Sudha 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.
Parimalasundar, E., et al.. (2024). A Novel Approach to Fault Recognition in Multi-level Inverters through Artificial Neural Networks. International Journal of Electrical and Electronics Engineering. 11(5). 161–174. 1 indexed citations
2.
Sudha, S., et al.. (2023). Deep Learning based ROI Segmentation using Convolution Neural Network. 44. 115–120. 4 indexed citations
3.
Sudha, S., et al.. (2022). Execution Analysis of Clarity Locale Segmentation for Condition Recognition Utilizing Genetic Algorithm Method. Journal of Medical Imaging and Health Informatics. 12(1). 20–26.
4.
Sudha, S., et al.. (2022). Energy Efficient CNTFET SRAM Cells Using Low Power Techniques. 2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT). 1–9. 1 indexed citations
5.
Sudha, S., et al.. (2021). LOWER GRADE GLIOMA DETECTION USING MRI IMAGE. 2 indexed citations
6.
7.
Sudha, S., et al.. (2019). Adaptive Fruitfly Based Modified Region Growing Algorithm for Cardiac Fat Segmentation Using Optimal Neural Network. Journal of Medical Systems. 43(5). 104–104. 13 indexed citations
8.
9.
Srinivasan, A., et al.. (2019). Web enabled paddy disease detection using Compressed Sensing. Mathematical Biosciences & Engineering. 16(6). 7719–7733. 12 indexed citations
10.
Jayanthi, K., et al.. (2019). Automated Diagnosis of Cardiovascular Disease Through Measurement of Intima Media Thickness Using Deep Neural Networks. PubMed. 2019. 6636–6639. 7 indexed citations
11.
Sudha, S., et al.. (2018). Convolutional Neural Network for Segmentation and Measurement of Intima Media Thickness. Journal of Medical Systems. 42(8). 154–154. 26 indexed citations
12.
13.
Sridharan, S. & S. Sudha. (2016). High Frequency Charging Techniques—Grid Connected Power Generation Using Switched Reluctance Generator. Circuits and Systems. 7(14). 4308–4321. 1 indexed citations
14.
Sudha, S., et al.. (2016). Patient monitoring in the hospital management using Li-Fi. 93–96. 16 indexed citations
15.
Sudha, S., et al.. (2014). Hepatic tumor detection in ultrasound images. 1–5. 4 indexed citations
16.
Sudha, S., et al.. (2013). NATURAL COAGULANTS-AN ALTERNATIVE TO CONVENTIONAL METHODS OF WATER PURIFICATION. 2(1). 6 indexed citations
17.
Sudha, S., et al.. (2013). An Efficient Classification Tree Technique for Heart Disease Prediction. 6–9. 12 indexed citations
18.
Suresh, G., S. Sudha, & R. Sukanesh. (2009). Performance Evaluation of Shape Adaptive Discrete Wavelet Transform Based Magnetic Resonance Images Coding. 6. 182–186. 1 indexed citations
19.
Sudha, S., G. Suresh, & R. Sukanesh. (2009). Speckle Noise Reduction in Ultrasound Images Using Context-based Adaptive Wavelet Thresholding. IETE Journal of Research. 55(3). 135–135. 40 indexed citations
20.
Sudha, S. & A. Ebenezer Jeyakumar. (2007). Wavelet and ANN Based Relaying for Power Transformer Protection. Journal of Computer Science. 3(6). 454–460. 9 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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