G. Pradeepini

602 total citations
41 papers, 244 citations indexed

About

G. Pradeepini is a scholar working on Information Systems, Plant Science and Artificial Intelligence. According to data from OpenAlex, G. Pradeepini has authored 41 papers receiving a total of 244 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 11 papers in Plant Science and 7 papers in Artificial Intelligence. Recurrent topics in G. Pradeepini's work include Smart Agriculture and AI (11 papers), Brain Tumor Detection and Classification (6 papers) and Cloud Computing and Resource Management (5 papers). G. Pradeepini is often cited by papers focused on Smart Agriculture and AI (11 papers), Brain Tumor Detection and Classification (6 papers) and Cloud Computing and Resource Management (5 papers). G. Pradeepini collaborates with scholars based in India, Saudi Arabia and South Korea. G. Pradeepini's co-authors include S. T. Patil, Sunil L. Bangare, S. Jyothi, A. Mallikarjuna Reddy, Eatedal Alabdulkreem, Yongwon Cho, Jamel Baili, Yunyoung Nam and S. Sagar Imambi and has published in prestigious journals such as IEEE Access, Frontiers in Plant Science and Multimedia Tools and Applications.

In The Last Decade

G. Pradeepini

38 papers receiving 202 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Pradeepini India 9 92 55 49 41 37 41 244
Abdoh Jabbari Saudi Arabia 11 87 0.9× 68 1.2× 64 1.3× 34 0.8× 21 0.6× 31 310
Md Babul Islam Italy 14 144 1.6× 33 0.6× 26 0.5× 40 1.0× 38 1.0× 33 339
G. Geetha India 10 104 1.1× 106 1.9× 56 1.1× 85 2.1× 51 1.4× 53 349
A. Mallikarjuna Reddy India 9 41 0.4× 33 0.6× 19 0.4× 54 1.3× 27 0.7× 40 224
R.C. Suganthe India 12 98 1.1× 69 1.3× 108 2.2× 68 1.7× 70 1.9× 42 365
Kamlesh Lakhwani India 9 43 0.5× 45 0.8× 59 1.2× 60 1.5× 54 1.5× 34 271
Feng-Jen Yang United States 5 119 1.3× 50 0.9× 36 0.7× 25 0.6× 13 0.4× 20 258
Vishal Dutt India 12 120 1.3× 49 0.9× 41 0.8× 67 1.6× 25 0.7× 37 386
Alper Özcan Türkiye 11 152 1.7× 107 1.9× 73 1.5× 62 1.5× 8 0.2× 27 368
Qin Zhi-guang China 7 69 0.8× 38 0.7× 49 1.0× 29 0.7× 93 2.5× 61 255

Countries citing papers authored by G. Pradeepini

Since Specialization
Citations

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

Fields of papers citing papers by G. Pradeepini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Pradeepini

This figure shows the co-authorship network connecting the top 25 collaborators of G. Pradeepini. A scholar is included among the top collaborators of G. Pradeepini 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 G. Pradeepini. G. Pradeepini 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.
Pradeepini, G., et al.. (2025). Machine learning - powered intrusion detection system for agriculture 4.0: Securing the next generation of farming. International Journal of Innovative Research and Scientific Studies. 8(1). 1964–1978.
2.
Pradeepini, G., et al.. (2025). Bayesian optimized deep learning and ensemble classification approach for multiclass plant disease identification. Discover Sustainability. 6(1). 1 indexed citations
3.
4.
Pradeepini, G., et al.. (2023). A novel framework for the diagnosis of Parkinson’s disease using transfer learning with RESNET50 and SVM classifier. Indonesian Journal of Electrical Engineering and Computer Science. 32(2). 877–877. 2 indexed citations
5.
Pradeepini, G., et al.. (2023). Data Science in Healthcare Monitoring Under Covid-19 Detection by Extended Hybrid Leader-Based Compressed Neural Network. New Generation Computing. 41(3). 669–696. 2 indexed citations
6.
Pradeepini, G., et al.. (2023). Intrusion detection in internet of things-based smart farming using hybrid deep learning framework. Cluster Computing. 27(2). 1719–1732. 23 indexed citations
7.
Pradeepini, G., et al.. (2023). Identification of Leaf Disease Using Machine Learning Algorithm for Improving the Agricultural System. Journal of Advances in Information Technology. 8 indexed citations
8.
Pradeepini, G., et al.. (2023). EHFT: An Ensembled Hyperopt Fine-Tuned Neural Network for Disease Detection in Tomato Plants. International Journal on Recent and Innovation Trends in Computing and Communication. 11(9s). 634–646. 4 indexed citations
9.
Pradeepini, G., et al.. (2023). Novel mathematical model for the classification of music and rhythmic genre using deep neural network. Journal Of Big Data. 10(1). 6 indexed citations
10.
Pradeepini, G., et al.. (2023). An overview of smart agriculture activities using machine learning and IoT. AIP conference proceedings. 2758. 30033–30033. 3 indexed citations
11.
Pradeepini, G., et al.. (2023). Unveiling Heart Arrhythmias: ECG Signal Analysis. International Journal of Membrane Science and Technology. 10(2). 2260–2270. 1 indexed citations
12.
Pradeepini, G., et al.. (2023). Prediction of tomato leaf disease using transfer learning algorithms InceptionV3 and Inception Resnetv2. AIP conference proceedings. 2814. 20009–20009. 1 indexed citations
13.
Pradeepini, G., et al.. (2022). Credit Card Fraud Detection using Ensemble Methods in Machine Learning. 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI). 1237–1241. 14 indexed citations
14.
Pradeepini, G., et al.. (2022). Parkinson’s Disease Identification using Deep Neural Network with RESNET50. International Journal of Advanced Computer Science and Applications. 13(11). 2 indexed citations
15.
Pradeepini, G., et al.. (2020). Mobile Sms Spam Filter Techniques Using Machine Learning Techniques. International journal of scientific and technology research. 9(3). 384–389. 4 indexed citations
16.
Pradeepini, G., et al.. (2019). Feature Selection Effects on Gradient Descent Logistic Regression for Medical Data Classification. International journal of intelligent engineering and systems. 12(5). 278–286. 6 indexed citations
17.
Pradeepini, G., et al.. (2019). Chronic Kidney Disease Prediction based on Blood Potassium Levels using Machine Learning. International Journal of Innovative Technology and Exploring Engineering. 9(2). 4194–4199. 1 indexed citations
18.
Pradeepini, G., et al.. (2018). Least Square Regression for Prediction Problems in Machine Learning using R. International Journal of Engineering & Technology. 7(3.12). 960–960. 2 indexed citations
19.
Pradeepini, G., et al.. (2015). Cloud Based Big Data Analytic: a Review. 3(1). 7–12. 2 indexed citations
20.
Pradeepini, G., et al.. (2014). Feature Selection based Neural Networks for Software Defect Prediction. 1(1). 7–12.

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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