Jyostna Devi Bodapati

953 total citations
37 papers, 621 citations indexed

About

Jyostna Devi Bodapati is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Jyostna Devi Bodapati has authored 37 papers receiving a total of 621 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 15 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Artificial Intelligence. Recurrent topics in Jyostna Devi Bodapati's work include Retinal Imaging and Analysis (8 papers), Brain Tumor Detection and Classification (7 papers) and Advanced Neural Network Applications (7 papers). Jyostna Devi Bodapati is often cited by papers focused on Retinal Imaging and Analysis (8 papers), Brain Tumor Detection and Classification (7 papers) and Advanced Neural Network Applications (7 papers). Jyostna Devi Bodapati collaborates with scholars based in India and United States. Jyostna Devi Bodapati's co-authors include N. Veeranjaneyulu, Nagur Shareef Shaik, Uppalapati Srilakshmi, Venkata Krishna Kishore Kolli and Dong Hye Ye and has published in prestigious journals such as IEEE Access, Measurement and Multimedia Tools and Applications.

In The Last Decade

Jyostna Devi Bodapati

35 papers receiving 588 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jyostna Devi Bodapati India 13 314 267 199 167 138 37 621
N. Veeranjaneyulu India 12 278 0.9× 240 0.9× 184 0.9× 139 0.8× 119 0.9× 34 578
Zaka Ur Rehman Malaysia 8 197 0.6× 265 1.0× 117 0.6× 179 1.1× 90 0.7× 22 488
Sheeraz Akram Pakistan 17 237 0.8× 176 0.7× 222 1.1× 91 0.5× 15 0.1× 52 635
Mohammad Tariqul Islam United States 9 149 0.5× 192 0.7× 84 0.4× 22 0.1× 50 0.4× 28 421
Awais Mehmood Pakistan 9 158 0.5× 225 0.8× 195 1.0× 161 1.0× 40 0.3× 23 549
Jahanzaib Latif China 8 185 0.6× 93 0.3× 106 0.5× 49 0.3× 79 0.6× 9 338
Waqas Jadoon Pakistan 10 361 1.1× 293 1.1× 114 0.6× 56 0.3× 194 1.4× 28 689
Hossam El-Din Moustafa Egypt 12 159 0.5× 110 0.4× 220 1.1× 223 1.3× 19 0.1× 56 536
Preetham Kumar India 11 218 0.7× 201 0.8× 96 0.5× 23 0.1× 118 0.9× 40 405
Nataly Ilyasova Russia 12 240 0.8× 173 0.6× 107 0.5× 80 0.5× 111 0.8× 68 419

Countries citing papers authored by Jyostna Devi Bodapati

Since Specialization
Citations

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

Fields of papers citing papers by Jyostna Devi Bodapati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jyostna Devi Bodapati. 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 Jyostna Devi Bodapati. The network helps show where Jyostna Devi Bodapati may publish in the future.

Co-authorship network of co-authors of Jyostna Devi Bodapati

This figure shows the co-authorship network connecting the top 25 collaborators of Jyostna Devi Bodapati. A scholar is included among the top collaborators of Jyostna Devi Bodapati 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 Jyostna Devi Bodapati. Jyostna Devi Bodapati 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.
Shaik, Nagur Shareef, et al.. (2025). Adaptive Fusion Attention for enhanced classification and interpretability in medical imaging. Machine Vision and Applications. 36(3).
2.
Bodapati, Jyostna Devi, et al.. (2025). Design of an Iterative Model for Incremental Enhancements in Quantum Image Processing Using Reinforcement Learning-Based Optimizations. IEEE Access. 13. 20491–20511. 1 indexed citations
3.
4.
Bodapati, Jyostna Devi, et al.. (2024). A Comprehensive Multi-modal Approach for Enhanced Product Recommendations Based on Customer Habits. Journal of The Institution of Engineers (India) Series B. 105(6). 1537–1545. 1 indexed citations
5.
Veeranjaneyulu, N. & Jyostna Devi Bodapati. (2024). Adaptive ensembling of multi-modal deep spatial representations for diabetic retinopathy diagnosis. Multimedia Tools and Applications. 83(26). 68467–68486. 3 indexed citations
6.
Shaik, Nagur Shareef, et al.. (2024). Medtransnet: advanced gating transformer network for medical image classification. Machine Vision and Applications. 35(4). 7 indexed citations
7.
Veeranjaneyulu, N. & Jyostna Devi Bodapati. (2024). Enhancing Plant Leaf Disease Prediction Through Advanced Deep Feature Representations: A Transfer Learning Approach. Journal of The Institution of Engineers (India) Series B. 105(3). 469–482. 12 indexed citations
8.
Bodapati, Jyostna Devi, et al.. (2023). TumorAwareNet: Deep representation learning with attention based sparse convolutional denoising autoencoder for brain tumor recognition. Multimedia Tools and Applications. 83(8). 22099–22117. 9 indexed citations
9.
Bodapati, Jyostna Devi, et al.. (2023). Self-adaptive stacking ensemble approach with attention based deep neural network models for diabetic retinopathy severity prediction. Multimedia Tools and Applications. 83(1). 1083–1102. 15 indexed citations
10.
Bodapati, Jyostna Devi, et al.. (2023). A Deep Convolutional Neural Network Framework for Enhancing Brain Tumor Diagnosis on MRI Scans. 2(1). 42–50. 6 indexed citations
11.
Bodapati, Jyostna Devi, et al.. (2022). A Deep Learning Framework with Cross Pooled Soft Attention for Facial Expression Recognition. Journal of The Institution of Engineers (India) Series B. 103(5). 1395–1405. 9 indexed citations
12.
Bodapati, Jyostna Devi. (2022). Stacked convolutional auto-encoder representations with spatial attention for efficient diabetic retinopathy diagnosis. Multimedia Tools and Applications. 81(22). 32033–32056. 29 indexed citations
13.
Bodapati, Jyostna Devi, et al.. (2022). Ensemble of deep capsule neural networks: an application to pediatric pneumonia prediction. Physical and Engineering Sciences in Medicine. 45(3). 949–959. 8 indexed citations
14.
Bodapati, Jyostna Devi, Nagur Shareef Shaik, & N. Veeranjaneyulu. (2021). Composite deep neural network with gated-attention mechanism for diabetic retinopathy severity classification. Journal of Ambient Intelligence and Humanized Computing. 12(10). 9825–9839. 110 indexed citations
15.
Bodapati, Jyostna Devi, Uppalapati Srilakshmi, & N. Veeranjaneyulu. (2021). FERNet: A Deep CNN Architecture for Facial Expression Recognition in the Wild. Journal of The Institution of Engineers (India) Series B. 103(2). 439–448. 27 indexed citations
16.
Bodapati, Jyostna Devi, et al.. (2021). MSENet: Multi-Modal Squeeze-and-Excitation Network for Brain Tumor Severity Prediction. International Journal of Pattern Recognition and Artificial Intelligence. 35(7). 2157005–2157005. 28 indexed citations
17.
Bodapati, Jyostna Devi. (2021). Modified self-training based statistical models for image classification and speaker identification. International Journal of Speech Technology. 24(4). 1007–1015. 2 indexed citations
18.
Bodapati, Jyostna Devi. (2021). SAE-PD-Seq: sequence autoencoder-based pre-training of decoder for sequence learning tasks. Signal Image and Video Processing. 15(7). 1453–1459. 5 indexed citations
19.
Bodapati, Jyostna Devi, et al.. (2021). ChxCapsNet: Deep capsule network with transfer learning for evaluating pneumonia in paediatric chest radiographs. Measurement. 188. 110491–110491. 16 indexed citations
20.
Bodapati, Jyostna Devi, et al.. (2020). Joint training of two-channel deep neural network for brain tumor classification. Signal Image and Video Processing. 15(4). 753–760. 89 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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