R.G. Vidhya

669 total citations
49 papers, 277 citations indexed

About

R.G. Vidhya is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, R.G. Vidhya has authored 49 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Electrical and Electronic Engineering and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in R.G. Vidhya's work include AI in cancer detection (8 papers), Brain Tumor Detection and Classification (7 papers) and Artificial Intelligence in Healthcare (6 papers). R.G. Vidhya is often cited by papers focused on AI in cancer detection (8 papers), Brain Tumor Detection and Classification (7 papers) and Artificial Intelligence in Healthcare (6 papers). R.G. Vidhya collaborates with scholars based in India, United States and Italy. R.G. Vidhya's co-authors include J. Surendiran, N. Yuvaraj, M. Ramkumar, T. Aditya Sai Srinivas, Chandra Sekhar Kolli, Devvret Verma, Ayan Das Gupta, Dhiraj Kapila, Prabhdeep Singh and Radha Raman Chandan and has published in prestigious journals such as Scientific Reports, Applied Soft Computing and Journal of Intelligent & Fuzzy Systems.

In The Last Decade

R.G. Vidhya

34 papers receiving 270 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R.G. Vidhya India 11 83 80 67 54 36 49 277
Yadala Sucharitha India 9 94 1.1× 21 0.3× 25 0.4× 64 1.2× 27 0.8× 25 275
G. Sajiv India 8 53 0.6× 19 0.2× 75 1.1× 27 0.5× 25 0.7× 55 263
Abdul Hannan Khan Pakistan 8 115 1.4× 93 1.2× 121 1.8× 19 0.4× 42 1.2× 16 333
Abhinav Juneja India 10 61 0.7× 18 0.2× 35 0.5× 19 0.4× 24 0.7× 23 225
R. Pugalenthi India 7 85 1.0× 46 0.6× 54 0.8× 16 0.3× 114 3.2× 17 246
Ferhat Bozkurt Türkiye 11 122 1.5× 34 0.4× 119 1.8× 14 0.3× 75 2.1× 38 288
Md. Munirul Hasan Malaysia 7 193 2.3× 29 0.4× 27 0.4× 42 0.8× 69 1.9× 20 331
Chandradeep Bhatt India 5 90 1.1× 32 0.4× 50 0.7× 13 0.2× 68 1.9× 63 260
Anchit Bijalwan India 9 118 1.4× 67 0.8× 64 1.0× 11 0.2× 36 1.0× 35 345

Countries citing papers authored by R.G. Vidhya

Since Specialization
Citations

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

Fields of papers citing papers by R.G. Vidhya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R.G. Vidhya

This figure shows the co-authorship network connecting the top 25 collaborators of R.G. Vidhya. A scholar is included among the top collaborators of R.G. Vidhya 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 R.G. Vidhya. R.G. Vidhya 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.
Denis, R. D. St., et al.. (2025). A Federated Learning and Blockchain Framework for IoMT-Driven Healthcare 5.0. International Journal of Basic and Applied Sciences. 14(1). 246–250.
2.
Chaudhary, Sumit, et al.. (2025). AI Driven Inventory Optimization Framework Using Deep Learning and Metaheuristic Algorithms. International Journal of Basic and Applied Sciences. 14(4). 405–411.
3.
Reddy, Madhukar K., et al.. (2025). Deep Learning Driven Anomaly Detection in Social Graphs  by Using Anti-Corona Political Optimization. International Journal of Basic and Applied Sciences. 14(4). 220–228.
4.
Patil, Anita, et al.. (2025). A Blockchain-Enabled Adaptive Learning Model for Secure and Scalable Data Sharing. International Journal of Basic and Applied Sciences. 14(4). 229–236.
5.
Maheswari, B. Uma, et al.. (2025). A Deep Learning Framework for Human Motion RecognitionUsing Compact CNNs and Swarm Optimization. International Journal of Basic and Applied Sciences. 14(4). 211–219.
6.
Gupta, Deepti, et al.. (2024). Metaheuristic Machine Learning Algorithms for Liver Disease Prediction. International Research Journal of Multidisciplinary Scope. 5(4). 651–660.
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Al‐Shehari, Taher, Taha Alfakih, Hussain AlSalman, et al.. (2024). Blockchain with secure data transactions and energy trading model over the internet of electric vehicles. Scientific Reports. 14(1). 19208–19208. 6 indexed citations
10.
11.
Vidhya, R.G., et al.. (2024). Deep anomaly detection: A linear one-class SVM approach for high-dimensional and large-scale data. Applied Soft Computing. 167. 112369–112369. 3 indexed citations
12.
Kumar, Indradeep, et al.. (2024). Propelling the Future: Advanced Electric Propulsion Systems for Unmanned Aerial Vehicles. 5–9. 2 indexed citations
13.
Choudhary, Mukesh, et al.. (2024). Revolutionizing Data Transmission Efficiency in IoT-Enabled Smart Cities: A Novel Optimization-Centric Approach. International Research Journal of Multidisciplinary Scope. 5(4). 592–602.
14.
Kanagasabai, Malathi, et al.. (2024). Challenges in Cyber Physical Social Systems and Internet of Things. 409–413. 1 indexed citations
15.
Vidhya, R.G., et al.. (2023). Alzheimer’s disease detection using residual neural network with LSTM hybrid deep learning models. Journal of Intelligent & Fuzzy Systems. 45(6). 12095–12109. 5 indexed citations
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17.
Vidhya, R.G., et al.. (2023). An Analysis and Study of Brain Cancer with RNN Algorithm based AI Technique. 637–642. 6 indexed citations
18.
Vidhya, R.G., et al.. (2022). An Effective Evaluation of SONARS using Arduino and Display on Processing IDE. 500–505. 12 indexed citations
19.
Surendiran, J., et al.. (2022). IoT-Based Advanced Electric Vehicle Charging Infrastructure. 1–6. 4 indexed citations
20.
Vidhya, R.G., et al.. (2019). Characteristics and Outcomes of Breast Cancer- Retrospective Analysis from a Tertiary Center in India.. 8(2). MC04–MC08. 1 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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