Yepuganti Karuna

551 total citations
45 papers, 289 citations indexed

About

Yepuganti Karuna is a scholar working on Computer Vision and Pattern Recognition, Neurology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Yepuganti Karuna has authored 45 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 16 papers in Neurology and 11 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Yepuganti Karuna's work include Brain Tumor Detection and Classification (16 papers), Medical Image Segmentation Techniques (14 papers) and Image and Signal Denoising Methods (8 papers). Yepuganti Karuna is often cited by papers focused on Brain Tumor Detection and Classification (16 papers), Medical Image Segmentation Techniques (14 papers) and Image and Signal Denoising Methods (8 papers). Yepuganti Karuna collaborates with scholars based in India, Saudi Arabia and China. Yepuganti Karuna's co-authors include G. Ramachandra Reddy, Srinivas Koppu, Senthilkumar Mohan, Brejesh Lall, Durga Prasad Bavirisetti, Hong Qin, Saurav Mallik, Ravindra Dhuli, C. V. Ravikumar and Tae‐Hoon Kim and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Yepuganti Karuna

36 papers receiving 267 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yepuganti Karuna India 9 141 110 73 60 26 45 289
Mansoor Fateh Iran 12 153 1.1× 22 0.2× 113 1.5× 84 1.4× 46 1.8× 44 381
Xiuchao Sui Singapore 5 165 1.2× 33 0.3× 82 1.1× 57 0.9× 34 1.3× 7 265
Milad Soltany Iran 3 178 1.3× 85 0.8× 91 1.2× 114 1.9× 2 0.1× 4 297
Zaka Ur Rehman Malaysia 8 265 1.9× 179 1.6× 197 2.7× 117 1.9× 10 0.4× 22 488
Asim Munir Pakistan 10 245 1.7× 167 1.5× 134 1.8× 186 3.1× 21 0.8× 21 486
Saif Ur Rehman Khan China 13 106 0.8× 134 1.2× 112 1.5× 136 2.3× 12 0.5× 31 363
Amira Echtioui Tunisia 11 46 0.3× 37 0.3× 142 1.9× 104 1.7× 115 4.4× 37 311
R Lavanya India 9 68 0.5× 17 0.2× 62 0.8× 84 1.4× 82 3.2× 62 292
N. Veeranjaneyulu India 12 240 1.7× 139 1.3× 278 3.8× 184 3.1× 10 0.4× 34 578

Countries citing papers authored by Yepuganti Karuna

Since Specialization
Citations

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

Fields of papers citing papers by Yepuganti Karuna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yepuganti Karuna

This figure shows the co-authorship network connecting the top 25 collaborators of Yepuganti Karuna. A scholar is included among the top collaborators of Yepuganti Karuna 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 Yepuganti Karuna. Yepuganti Karuna 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.
Karuna, Yepuganti, et al.. (2025). Gabor-modulated depth separable convolution for retinal vessel segmentation in fundus images. Computers in Biology and Medicine. 188. 109789–109789.
2.
Karuna, Yepuganti, et al.. (2025). Modified energy-based GAN for intensity in homogeneity correction in brain MR images. Scientific Reports. 15(1). 26409–26409.
3.
Kim, Tae‐Hoon, et al.. (2024). Evaluation of a double-lens dielectric radome using a microstrip patch antenna for electromagnetic applications. Ain Shams Engineering Journal. 15(12). 103151–103151. 3 indexed citations
4.
Karuna, Yepuganti, et al.. (2024). A unique unsupervised enhanced intuitionistic fuzzy C-means for MR brain tissue segmentation. Scientific Reports. 14(1). 29804–29804.
5.
Karuna, Yepuganti, et al.. (2024). A deep learning model for the localization and extraction of brain tumors from MR images using YOLOv7 and grab cut algorithm. Frontiers in Oncology. 14. 1347363–1347363. 5 indexed citations
6.
Karuna, Yepuganti, et al.. (2024). Dwarf mongoose gannet optimization algorithm-enabled deep neuro-fuzzy network for detection of shockable ventricular cardiac arrhythmias. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 238(13). 6314–6330. 3 indexed citations
7.
Karuna, Yepuganti, et al.. (2024). A novel approach to brain tumor detection using K-Means++, SGLDM, ResNet50, and synthetic data augmentation. Frontiers in Physiology. 15. 1342572–1342572. 2 indexed citations
8.
Karuna, Yepuganti, et al.. (2023). CT-PET Based Image Fusion Algorithm for Medical Applications. 8. 391–397. 1 indexed citations
9.
Karuna, Yepuganti, et al.. (2023). Unfolded deep kernel estimation-attention UNet-based retinal image segmentation. Scientific Reports. 13(1). 20712–20712. 7 indexed citations
10.
Karuna, Yepuganti, et al.. (2023). A survey of deep learning for MRI brain tumor segmentation methods: Trends, challenges, and future directions. Health and Technology. 13(2). 181–201. 24 indexed citations
11.
Karuna, Yepuganti, et al.. (2023). Brain Tumor Detection Using Deep Learning With Synthetic Data Augmentation. 164–170. 2 indexed citations
12.
Karuna, Yepuganti, et al.. (2023). Retinal vessel segmentation to diagnose diabetic retinopathy using fundus images: A survey. International Journal of Imaging Systems and Technology. 34(1). 13 indexed citations
13.
14.
Karuna, Yepuganti, et al.. (2023). Modified Depthwise Parallel Attention UNet for Retinal Vessel Segmentation. IEEE Access. 11. 102572–102588. 11 indexed citations
15.
Karuna, Yepuganti, et al.. (2023). Discrimination of Ventricular Arrhythmias using Machine Learning models. 329–334.
16.
Karuna, Yepuganti, et al.. (2023). Segmentation and Analysis Emphasizing Neonatal MRI Brain Images Using Machine Learning Techniques. Mathematics. 11(2). 285–285. 17 indexed citations
17.
Karuna, Yepuganti, et al.. (2020). Segmentation of tumor using PCA based modified fuzzy C means algorithms on MR brain images. International Journal of Imaging Systems and Technology. 30(4). 1337–1345. 7 indexed citations
18.
Karuna, Yepuganti, et al.. (2018). MS Lesion Segmentation for Single and Multichannel MRI Images Using MICO Technique. 1 indexed citations
19.
Karuna, Yepuganti, et al.. (2018). Brain MR Image Classification Using DWT and Random Forest with AdaBoostM1 Classifier. 820–824. 3 indexed citations
20.
Karuna, Yepuganti, Ravindra Dhuli, & Brejesh Lall. (2010). Closed form expression for the probability of collision: Two independent transmitters. 1–6. 5 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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