S. Pradeepa

718 total citations
43 papers, 399 citations indexed

About

S. Pradeepa is a scholar working on Artificial Intelligence, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, S. Pradeepa has authored 43 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 9 papers in Information Systems and 9 papers in Electrical and Electronic Engineering. Recurrent topics in S. Pradeepa's work include Artificial Intelligence in Healthcare (8 papers), AI in cancer detection (6 papers) and Sentiment Analysis and Opinion Mining (4 papers). S. Pradeepa is often cited by papers focused on Artificial Intelligence in Healthcare (8 papers), AI in cancer detection (6 papers) and Sentiment Analysis and Opinion Mining (4 papers). S. Pradeepa collaborates with scholars based in India, United States and Jordan. S. Pradeepa's co-authors include S. Lavanya, N. M. Saravana Kumar, T. Thamaraimanalan, S. Vimal, Mohammad S. Khan, Ashish Kr. Luhach, Naveen Chilamkurti, Viswanathan Shanta, V. T. Jissa and Rajaraman Swaminathan and has published in prestigious journals such as Scientific Reports, Applied Sciences and Environmental Monitoring and Assessment.

In The Last Decade

S. Pradeepa

31 papers receiving 346 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. Pradeepa India 10 135 135 50 49 46 43 399
Suvendu Kumar Mohapatra India 7 75 0.6× 73 0.5× 40 0.8× 56 1.1× 20 0.4× 12 293
Vikas Deep India 10 42 0.3× 108 0.8× 60 1.2× 19 0.4× 48 1.0× 34 368
M. Kavitha India 8 190 1.4× 175 1.3× 45 0.9× 39 0.8× 36 0.8× 49 449
Majid Zaman India 14 125 0.9× 210 1.6× 73 1.5× 35 0.7× 31 0.7× 71 509
Muhammad Sheraz Arshad Malik Pakistan 10 31 0.2× 133 1.0× 54 1.1× 59 1.2× 53 1.2× 31 430
Hamdan O. Alanazi Malaysia 8 64 0.5× 98 0.7× 60 1.2× 36 0.7× 13 0.3× 12 310
Mohd Usama China 10 50 0.4× 249 1.8× 56 1.1× 61 1.2× 10 0.2× 16 492
Daby Sow United States 14 102 0.8× 235 1.7× 96 1.9× 27 0.6× 30 0.7× 58 693
Mohammad Hossein Zangooei Iran 10 160 1.2× 163 1.2× 59 1.2× 44 0.9× 8 0.2× 12 412
Wojciech Książek Poland 8 203 1.5× 208 1.5× 25 0.5× 120 2.4× 17 0.4× 11 483

Countries citing papers authored by S. Pradeepa

Since Specialization
Citations

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

Fields of papers citing papers by S. Pradeepa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S. Pradeepa. A scholar is included among the top collaborators of S. Pradeepa 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. Pradeepa. S. Pradeepa 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.
Pradeepa, S., et al.. (2025). Remote Sensing Based Land Cover Classification Using Residual Feature—Hyper Graph Convolutional Neural Network (HGCNN). Journal of the Indian Society of Remote Sensing.
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Pradeepa, S., et al.. (2025). Explainable artificial intelligence based microscopic peripheral blood cell image classification by exploiting quadradic convex optimization. Engineering Applications of Artificial Intelligence. 160. 112040–112040.
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Pradeepa, S., et al.. (2025). Efficient indoor localization by integrating RFID with adaptive emperor penguin colony-based deep Q learning. Journal of the Chinese Institute of Engineers. 48(2). 183–194.
6.
Pradeepa, S., et al.. (2024). Detecting the Medical Plant Association from PubMed Using Hypergraph-based Clustering with Dominating Set. Information Technology And Control. 53(3). 758–771.
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Pradeepa, S., et al.. (2024). Enhancing pneumonia detection with masked neural networks: a deep learning approach. Neural Computing and Applications. 36(29). 18433–18444.
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Pradeepa, S., K. S. Ravichandran, Vimal Shanmuganathan, et al.. (2024). Robust diabetic prediction using ensemble machine learning models with synthetic minority over-sampling technique. Scientific Reports. 14(1). 28984–28984. 3 indexed citations
10.
Pradeepa, S., et al.. (2024). Predicting agricultural and meteorological droughts using Holt Winter Conventional 2D-Long Short-Term Memory (HW-Conv2DLSTM). Environmental Monitoring and Assessment. 196(10). 875–875.
11.
Pradeepa, S., et al.. (2024). HGATT_LR: transforming review text classification with hypergraphs attention layer and logistic regression. Scientific Reports. 14(1). 19614–19614. 1 indexed citations
12.
Sasikaladevi, N., S. Pradeepa, A. Revathi, S. Vimal, & Rubén González Crespo. (2023). DIAGNOSIS OF KIDNEY CYST, TUMOR AND STONE FROM CT SCAN IMAGESUSING FEATURE FUSION HYPERGRAPH CONVOLUTIONAL NEURAL NETWORK (F2HCN2). International Journal for Multiscale Computational Engineering. 22(5). 35–46. 3 indexed citations
13.
Pradeepa, S., A. Revathi, Vimal Shanmuganathan, et al.. (2023). Early diagnosis and meta-agnostic model visualization of tuberculosis based on radiography images. Scientific Reports. 13(1). 22803–22803. 13 indexed citations
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Pradeepa, S., et al.. (2021). Epidemic zone of COVID-19 from social media using hypergraph with weighting factor (HWF). The Journal of Supercomputing. 77(10). 11738–11755. 4 indexed citations
16.
Pradeepa, S., et al.. (2021). Cloud based real time data analysis of Electric Vehicle model using Thing Speak through IoT. 596–600. 4 indexed citations
17.
Pradeepa, S., et al.. (2019). Simulation of Landsman Converter with Npc-Multilevel Inverter for Water Pump Applications. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
18.
Pradeepa, S., et al.. (2017). Priority based decision tree classifier for breast cancer detection. 11. 1–6. 7 indexed citations
19.
Pradeepa, S., et al.. (2016). Construction of gazetteers from geo big data using machine learning technique on Hadoop. International Conference on Computing for Sustainable Global Development. 1619–1622. 1 indexed citations
20.
Swaminathan, Rajaraman, S. Pradeepa, Jacques Ferlay, et al.. (2009). Cancer pattern and survival in a rural district in South India. Cancer Epidemiology. 33(5). 325–331. 53 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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