B. Yamini

528 total citations
39 papers, 213 citations indexed

About

B. Yamini is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, B. Yamini has authored 39 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Computer Networks and Communications. Recurrent topics in B. Yamini's work include Advanced Steganography and Watermarking Techniques (6 papers), Network Security and Intrusion Detection (4 papers) and Vehicle License Plate Recognition (3 papers). B. Yamini is often cited by papers focused on Advanced Steganography and Watermarking Techniques (6 papers), Network Security and Intrusion Detection (4 papers) and Vehicle License Plate Recognition (3 papers). B. Yamini collaborates with scholars based in India, United States and Saudi Arabia. B. Yamini's co-authors include M. Nalini, Prasanta Ghosh, Atchayaram Nalini, R. Sıva Subramanıan, Ravi Yadav, Dipanjan Gope, M. Anuradha, Seenivasan Boopathi, Selvaraj Arokiyaraj and S.P. Ramya Ranjan Nayak and has published in prestigious journals such as Toxicology and Applied Pharmacology, Biomedical Signal Processing and Control and The Computer Journal.

In The Last Decade

B. Yamini

29 papers receiving 200 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. Yamini India 8 57 57 34 29 27 39 213
Khaled M. Alalayah Saudi Arabia 8 48 0.8× 72 1.3× 46 1.4× 9 0.3× 29 1.1× 24 215
Virginie Felizardo Portugal 9 39 0.7× 48 0.8× 30 0.9× 21 0.7× 37 1.4× 23 263
Rishabh Jain United States 8 27 0.5× 25 0.4× 53 1.6× 16 0.6× 11 0.4× 41 169
Virginia Săndulescu Romania 7 37 0.6× 38 0.7× 50 1.5× 8 0.3× 41 1.5× 27 296
Gilles Vandewiele Belgium 9 24 0.4× 49 0.9× 11 0.3× 13 0.4× 13 0.5× 18 199
Abdelghani Benharref United Arab Emirates 9 145 2.5× 55 1.0× 100 2.9× 23 0.8× 68 2.5× 29 310
Sung-Jun Park South Korea 9 63 1.1× 55 1.0× 87 2.6× 33 1.1× 35 1.3× 40 281
John Bush Idoko Cyprus 10 12 0.2× 48 0.8× 25 0.7× 37 1.3× 41 1.5× 18 234
S. Muthuramalingam India 8 78 1.4× 29 0.5× 14 0.4× 36 1.2× 8 0.3× 22 249
Abdulrahman K. Alnaim Saudi Arabia 9 105 1.8× 56 1.0× 48 1.4× 15 0.5× 13 0.5× 24 229

Countries citing papers authored by B. Yamini

Since Specialization
Citations

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

Fields of papers citing papers by B. Yamini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Yamini

This figure shows the co-authorship network connecting the top 25 collaborators of B. Yamini. A scholar is included among the top collaborators of B. Yamini 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 B. Yamini. B. Yamini 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.
Yamini, B., et al.. (2024). Optimizing Prediction Accuracy in High-Dimensional Data: Comparative Analysis of Feature Selection Methods with Naive Bayes Algorithm. International Journal of Electronics and Communication Engineering. 11(3). 41–52. 6 indexed citations
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Yamini, B., et al.. (2024). Ensemble-based deep learning techniques for customer churn prediction model. Kybernetes. 54(9). 4594–4625. 6 indexed citations
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Nayak, S.P. Ramya Ranjan, Seenivasan Boopathi, B. Yamini, et al.. (2024). Indole-3 acetic acid induced cardiac hypertrophy in Wistar albino rats. Toxicology and Applied Pharmacology. 486. 116917–116917. 17 indexed citations
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Yamini, B., Viktor K. Prasanna, M. Anuradha, et al.. (2023). A Comprehensive Survey of Deep Learning: Advancements, Applications, and Challenges. International Journal on Recent and Innovation Trends in Computing and Communication. 11(8s). 445–453. 5 indexed citations
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Yamini, B., et al.. (2023). Knowledge Base Learning Portal For Organization. 1679–1682. 1 indexed citations
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Yamini, B., et al.. (2023). Secured Voting System based on Blockchain. 1317–1322.
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Yamini, B., et al.. (2023). Predictive Modelling for Lung Cancer Detection using Machine Learning Techniques. 1220–1226. 8 indexed citations
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Yamini, B., et al.. (2023). Automation of Library Management System using Autonomous Robot. 1–5. 2 indexed citations
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Yamini, B., et al.. (2021). An efficient cloud‐based healthcare services paradigm for chronic kidney disease prediction application using boosted support vector machine. Concurrency and Computation Practice and Experience. 34(10). 33 indexed citations
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Yamini, B., et al.. (2020). TWITTER SENTIMENT ANALYSIS USING VADER ON PYTHON. Journal of Emerging Technologies and Innovative Research. 7(5). 1025-1031–1025-1031. 2 indexed citations
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Yamini, B. & R. Sabitha. (2014). Blind Steganalysis : To Analyse the Detection Rate of Stego Images using Different Steganalytic Techniques with Support Vector Machine Classifier. 22–25.
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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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2026