J. Anuradha

1.6k total citations · 1 hit paper
31 papers, 942 citations indexed

About

J. Anuradha is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, J. Anuradha has authored 31 papers receiving a total of 942 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in J. Anuradha's work include Network Security and Intrusion Detection (4 papers), Face and Expression Recognition (4 papers) and Rough Sets and Fuzzy Logic (4 papers). J. Anuradha is often cited by papers focused on Network Security and Intrusion Detection (4 papers), Face and Expression Recognition (4 papers) and Rough Sets and Fuzzy Logic (4 papers). J. Anuradha collaborates with scholars based in India, Sri Lanka and Cyprus. J. Anuradha's co-authors include B. Venkatesh, B. K. Tripathy, S. Karthik, A Prathik, Manik Sharma, Balamurugan Balusamy and Victor Chang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science and Pollution Research and Cluster Computing.

In The Last Decade

J. Anuradha

28 papers receiving 877 citations

Hit Papers

A Review of Feature Selection and Its Methods 2019 2026 2021 2023 2019 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Review of Feature Selection and Its Methods
    2019 423 citations B. Venkatesh, J. Anuradha Cybernetics and Information Technologies profile →

Peers

J. Anuradha
Daphne Lopez India
Subhendu Kumar Pani India
Tawfiq Hasanin Saudi Arabia
Sabah Mohammed Canada
Sapna Juneja India
Mubarak Almutairi Saudi Arabia
Manjusha Pandey India
Jagendra Singh India
Hany F. ElYamany Egypt
Satvik Vats India
Daphne Lopez India
J. Anuradha
Citations per year, relative to J. Anuradha J. Anuradha (= 1×) peers Daphne Lopez

Countries citing papers authored by J. Anuradha

Since Specialization
Citations

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

Fields of papers citing papers by J. Anuradha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Anuradha

This figure shows the co-authorship network connecting the top 25 collaborators of J. Anuradha. A scholar is included among the top collaborators of J. Anuradha 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 J. Anuradha. J. Anuradha 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.
2.
Anuradha, J., et al.. (2023). Spatial and Temporal Variations on Air Quality Prediction Using Deep Learning Techniques. Cybernetics and Information Technologies. 23(4). 213–232.
3.
Anuradha, J., et al.. (2022). Stock Market Prediction Based on Big Data Using Deep Reinforcement Long Short-Term Memory Model. International Journal of e-Collaboration. 18(2). 1–19. 1 indexed citations
4.
Prathik, A, et al.. (2022). A novel filter for removing image noise and improving the quality of image. International Journal of Cloud Computing. 11(1). 14–14. 3 indexed citations
5.
Anuradha, J., et al.. (2021). Big data based stock trend prediction using deep CNN with reinforcement-LSTM model. International Journal of Systems Assurance Engineering and Management. 24 indexed citations
6.
Anuradha, J., et al.. (2020). Environmental air pollution clustering using enhanced ensemble clustering methodology. Environmental Science and Pollution Research. 28(30). 40746–40755. 4 indexed citations
7.
Anuradha, J., et al.. (2020). Detection of Blackhole and Wormhole Attacks in WSN enabled by Optimal Feature Selection using Self-Adaptive Multi-Verse Optimiser with Deep Learning. International Journal of Communication Networks and Distributed Systems. 1(1). 1–1. 2 indexed citations
8.
Anuradha, J., et al.. (2020). Neutrosophic Fuzzy Hierarchical Clustering for Dengue Analysis in Sri Lanka. SHILAP Revista de lepidopterología. 4 indexed citations
9.
Venkatesh, B. & J. Anuradha. (2019). A Review of Feature Selection and Its Methods. Cybernetics and Information Technologies. 19(1). 3–26. 423 indexed citations breakdown →
10.
Anuradha, J., et al.. (2019). Prediction of Suitability of Soil for Different Crops using Spatial Data Mining. International Journal of Engineering and Advanced Technology. 9(1). 2330–2337. 9 indexed citations
11.
Anuradha, J., et al.. (2019). A Novel Algorithm for Soil Image Segmentation using Color and Region Based System. International Journal of Innovative Technology and Exploring Engineering. 8(10). 3544–3550. 13 indexed citations
12.
Anuradha, J., et al.. (2018). Opinion Mining on Emojis using Deep Learning Techniques. Procedia Computer Science. 132. 167–173. 7 indexed citations
13.
Anuradha, J., et al.. (2016). SecAODV: Lightweight Authentication for AODV Protocol. International Journal of Computer Applications. 137(13). 33–38. 2 indexed citations
14.
Anuradha, J., et al.. (2015). HYBRID CLUSTERING ALGORITHM USING POSSIBILISTIC ROUGH C-MEANS. International Journal of Pharma and Bio Sciences. 6(4). 799–810. 1 indexed citations
15.
Anuradha, J. & B. K. Tripathy. (2015). An optimal rough fuzzy clustering algorithm using particle swarm optimisation. International Journal of Data Mining Modelling and Management. 7(4). 257–257. 3 indexed citations
16.
Anuradha, J., et al.. (2015). Network Security and Types of Attacks in Network. Procedia Computer Science. 48. 503–506. 83 indexed citations
17.
Anuradha, J. & B. K. Tripathy. (2014). Hierarchical Clustering Algorithm based on Attribute Dependency for Attention Deficit Hyperactive Disorder. International Journal of Intelligent Systems and Applications. 6(6). 37–45. 2 indexed citations
18.
Anuradha, J., et al.. (2011). Diagnosis of Psychopathology using Clustering and Rule Extraction using Rough Set. Advances in Applied Science Research. 2(3). 1 indexed citations
19.
Karthik, S., et al.. (2011). Classification and Rule Extraction using Rough Set for Diagnosis of Liver Disease and its Types. 2(3). 35 indexed citations
20.
Anuradha, J., et al.. (2010). Diagnosis of ADHD using SVM algorithm. 1–4. 18 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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