V. Praveena

416 total citations
26 papers, 169 citations indexed

About

V. Praveena is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, V. Praveena has authored 26 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 7 papers in Information Systems and 6 papers in Computer Networks and Communications. Recurrent topics in V. Praveena's work include AI in cancer detection (3 papers), Network Security and Intrusion Detection (3 papers) and Blockchain Technology Applications and Security (3 papers). V. Praveena is often cited by papers focused on AI in cancer detection (3 papers), Network Security and Intrusion Detection (3 papers) and Blockchain Technology Applications and Security (3 papers). V. Praveena collaborates with scholars based in India, Nepal and Malaysia. V. Praveena's co-authors include P. Chinnasamy, Muhammad Ahsan Raza, Roobaea Alroobaea, Ihsan Ali, S. Prabhu, Ramesh Kumar Ayyasamy, Uma M, Muthu Subash Kavitha, P. Deepalakshmi and R. Maheswar and has published in prestigious journals such as Energies, Microscopy Research and Technique and Multimedia Tools and Applications.

In The Last Decade

V. Praveena

24 papers receiving 153 citations

Peers

V. Praveena
Mariyam Ouaissa Morocco
Walter Balzano Italy
Jianqun Cui China
Junhui Du China
M. Sathya India
Sunitha Safavat United States
Mohammed Laroui France
R Santhakumar India
Mona Bakri Hassan Sudan
Fabio Pardo United Kingdom
Mariyam Ouaissa Morocco
V. Praveena
Citations per year, relative to V. Praveena V. Praveena (= 1×) peers Mariyam Ouaissa

Countries citing papers authored by V. Praveena

Since Specialization
Citations

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

Fields of papers citing papers by V. Praveena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Praveena

This figure shows the co-authorship network connecting the top 25 collaborators of V. Praveena. A scholar is included among the top collaborators of V. Praveena 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 V. Praveena. V. Praveena 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.
Praveena, V., et al.. (2025). Chromosome Image Classification Using Edge Fusion Attention Network. Microscopy Research and Technique. 89(2). 230–242.
2.
M, Uma, et al.. (2024). Optimization of Thermal and Pressure Drop Performance in Circular Pin Fin Heat Sinks Using the TOPSIS Method. Energies. 17(24). 6340–6340. 4 indexed citations
3.
4.
Praveena, V., et al.. (2024). Membership Weight Salp Swarm Algorithm (MWSSA) based feature selection and deep learning approach for breast cancer classification of SNP genomics data. Multimedia Tools and Applications. 84(11). 9393–9429. 1 indexed citations
5.
6.
Praveena, V., et al.. (2023). A parallel optimization and transfer learning approach for summarization in electrical power systems. Automatika. 64(4). 1225–1233. 1 indexed citations
7.
Praveena, V., et al.. (2023). Face Detection based Secured ATM System with Two Step Verification using Fisher Face Method. 609–615. 3 indexed citations
8.
Praveena, V., et al.. (2023). A Survey Paper On Weed Identification Using Deep Learning Techniques. 1–4. 1 indexed citations
9.
Praveena, V., et al.. (2022). Building Energy Management and Conservation using Internet of Things. 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS). 970–974. 3 indexed citations
10.
Chinnasamy, P., et al.. (2021). Blockchain based Access Control and Data Sharing Systems for Smart Devices. Journal of Physics Conference Series. 1767(1). 12056–12056. 29 indexed citations
11.
Praveena, V., et al.. (2021). Deep Learning Based Smart Monitoring of Indoor Stadium Video Surveillance.. 36. 151–167. 2 indexed citations
12.
Praveena, V., et al.. (2021). Optimal Deep Reinforcement Learning for Intrusion Detection in UAVs. Computers, materials & continua/Computers, materials & continua (Print). 70(2). 2639–2653. 56 indexed citations
13.
Chinnasamy, P., et al.. (2021). Providing Resilience on Cloud Computing. 1–4. 3 indexed citations
14.
Praveena, V., et al.. (2020). Correction to: Hybrid Approach for IP Traceback Analysis in Wireless Networks. Wireless Personal Communications. 113(1). 691–691. 1 indexed citations
15.
16.
Praveena, V., et al.. (2020). DETECTION AND CATEGORIZATION OF PLANT LEAF DISEASES USING NEURAL NETWORKS. 7(4). 2438–2445. 7 indexed citations
17.
Chinnasamy, P., et al.. (2019). Blockchain Technology: A Step Towards Sustainable Development. International Journal of Innovative Technology and Exploring Engineering. 9(2S2). 1034–1040. 18 indexed citations
18.
Praveena, V., et al.. (2018). Image Encryption using SCAN Patterns & Hill Cipher. 3. 1983–1988. 2 indexed citations
19.
Praveena, V., et al.. (2018). Energy Efficient Raptor Codes for Error Control in Wireless Body Area Networks. Wireless Personal Communications. 103(2). 1133–1151. 5 indexed citations
20.
Praveena, V., et al.. (2014). EFFICIENT ACCIDENT DETECTION AND RESCUE SYSTEM USING ABEONA ALGORITHM. 10 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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