Y. Radhika

594 total citations
18 papers, 371 citations indexed

About

Y. Radhika is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Y. Radhika has authored 18 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Information Systems and 3 papers in Computer Networks and Communications. Recurrent topics in Y. Radhika's work include Advanced Text Analysis Techniques (4 papers), Web Data Mining and Analysis (3 papers) and Text and Document Classification Technologies (3 papers). Y. Radhika is often cited by papers focused on Advanced Text Analysis Techniques (4 papers), Web Data Mining and Analysis (3 papers) and Text and Document Classification Technologies (3 papers). Y. Radhika collaborates with scholars based in India. Y. Radhika's co-authors include Shashi Kant Mishra and G. Vijayalakshmi and has published in prestigious journals such as Multimedia Tools and Applications, Journal of Intelligent & Fuzzy Systems and International Journal of Advanced Computer Science and Applications.

In The Last Decade

Y. Radhika

16 papers receiving 327 citations

Peers

Y. Radhika
Michael Kampouridis United Kingdom
Abhishek Anand United States
Jamal‐Deen Abdulai Ghana
Zahra Karevan Belgium
Nan Zhu China
Rashad Ahmed United States
Rajeev Ranjan India
Pedro Bento Portugal
Shuhaida Ismail Malaysia
S. Poornima India
Michael Kampouridis United Kingdom
Y. Radhika
Citations per year, relative to Y. Radhika Y. Radhika (= 1×) peers Michael Kampouridis

Countries citing papers authored by Y. Radhika

Since Specialization
Citations

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

Fields of papers citing papers by Y. Radhika

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y. Radhika

This figure shows the co-authorship network connecting the top 25 collaborators of Y. Radhika. A scholar is included among the top collaborators of Y. Radhika 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 Y. Radhika. Y. Radhika is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Vijayalakshmi, G. & Y. Radhika. (2023). Internet of Things assisted Unmanned Aerial Vehicle for Pest Detection with Optimized Deep Learning Model. 22(2). 269–290. 1 indexed citations
2.
Radhika, Y., et al.. (2023). An ensemble model of CNN with Bi-LSTM for automatic singer identification. Multimedia Tools and Applications. 82(25). 38853–38874. 3 indexed citations
3.
Radhika, Y., et al.. (2023). Prediction of ITK inhibitor kinases activity based on posterior probabilistic weighted average based ensemble voting classification. Journal of Intelligent & Fuzzy Systems. 44(4). 5837–5846.
4.
Radhika, Y., et al.. (2022). IoT authentication model with optimized deep Q network for attack detection and mitigation. International Journal of Intelligent Robotics and Applications. 6(2). 350–364. 5 indexed citations
5.
6.
Radhika, Y., et al.. (2021). Detection of Polycystic Ovarian Syndrome using Convolutional Neural Networks. International Journal of Current Research and Review. 13(6). 155–159. 7 indexed citations
7.
Radhika, Y., et al.. (2021). Singer Gender Classification using Feature-based and Spectrograms with Deep Convolutional Neural Network. International Journal of Advanced Computer Science and Applications. 12(2). 1 indexed citations
8.
Radhika, Y., et al.. (2019). An Efficient Segmentation of Retinal Blood Vessels using Singular Value Decomposition and Morphological Operator. International Journal of Advanced Computer Science and Applications. 10(8).
9.
Radhika, Y., et al.. (2019). Optimized maximum principal curvatures based segmentation of blood vessels from retinal images. Biomedical Research. 30(2). 11 indexed citations
10.
Radhika, Y., et al.. (2018). A Survey on Machine Learning and Statistical Techniques in Bankruptcy Prediction. International Journal of Machine Learning and Computing. 8(2). 133–139. 40 indexed citations
11.
Radhika, Y., et al.. (2017). A Model for Accurate Prediction in GeoRSS Data Using Naive Bayes Classifier. 2 indexed citations
12.
Radhika, Y., et al.. (2016). Research Domain Selection using Naive Bayes Classification. 2(2). 14–23. 1 indexed citations
13.
14.
Radhika, Y., et al.. (2015). Extractive Text Summarization Using Modified Weighing and Sentence Symmetric Feature Methods. International Journal of Modern Education and Computer Science. 7(10). 33–39. 4 indexed citations
15.
Radhika, Y., et al.. (2015). FPST: a new term weighting algorithm for long running and short lived events. International Journal of Data Analysis Techniques and Strategies. 7(4). 366–366. 6 indexed citations
16.
Radhika, Y., et al.. (2015). A novel method for minimizing loss of accuracy in Naive Bayes classifier. 1–4. 24 indexed citations
17.
18.
Radhika, Y. & Shashi Kant Mishra. (2009). Atmospheric Temperature Prediction using Support Vector Machines. International Journal of Computer Theory and Engineering. 55–58. 259 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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