A. Priya

706 total citations · 1 hit paper
27 papers, 377 citations indexed

About

A. Priya is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, A. Priya has authored 27 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Electrical and Electronic Engineering, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in A. Priya's work include Brain Tumor Detection and Classification (3 papers), Face recognition and analysis (2 papers) and Mental Health via Writing (2 papers). A. Priya is often cited by papers focused on Brain Tumor Detection and Classification (3 papers), Face recognition and analysis (2 papers) and Mental Health via Writing (2 papers). A. Priya collaborates with scholars based in India, Australia and Singapore. A. Priya's co-authors include Neha Prerna Tigga, Shruti Garg, V. Vasudevan, Abhinav Kumar, G. Charlyn Pushpa Latha, S. Ramkumar, S. Sekar, T. Rajendran, P. Sriramakrishnan and T. Vijayakumar and has published in prestigious journals such as Biomedical Signal Processing and Control, Journal of Ambient Intelligence and Humanized Computing and Plasmonics.

In The Last Decade

A. Priya

21 papers receiving 354 citations

Hit Papers

Predicting Anxiety, Depression and Stress in Modern Life ... 2020 2026 2022 2024 2020 50 100 150 200
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. Predicting Anxiety, Depression and Stress in Modern Life using Machine Learning Algorithms
    2020 244 citations A. Priya, Shruti Garg et al. Procedia Computer Science profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Priya India 8 109 98 97 78 42 27 377
Zhenyu Liu China 11 315 2.9× 103 1.1× 166 1.7× 84 1.1× 22 0.5× 44 510
Hatoon S. AlSagri Saudi Arabia 10 47 0.4× 115 1.2× 96 1.0× 57 0.7× 16 0.4× 27 309
Abu Raihan Mostofa Kamal Bangladesh 9 100 0.9× 216 2.2× 215 2.2× 127 1.6× 42 1.0× 30 482
Asif Salekin United States 8 71 0.7× 118 1.2× 30 0.3× 34 0.4× 20 0.5× 34 345
Dale Joachim United States 10 139 1.3× 87 0.9× 88 0.9× 47 0.6× 8 0.2× 28 303
Neha Prerna Tigga India 4 130 1.2× 202 2.1× 99 1.0× 81 1.0× 4 0.1× 8 497
Minqiang Yang China 11 121 1.1× 51 0.5× 51 0.5× 42 0.5× 7 0.2× 36 325
Eleni Kazantzaki Greece 11 207 1.9× 50 0.5× 86 0.9× 62 0.8× 8 0.2× 18 502
Ming-Hsiang Su Taiwan 12 238 2.2× 283 2.9× 73 0.8× 44 0.6× 10 0.2× 48 567

Countries citing papers authored by A. Priya

Since Specialization
Citations

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

Fields of papers citing papers by A. Priya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Priya

This figure shows the co-authorship network connecting the top 25 collaborators of A. Priya. A scholar is included among the top collaborators of A. Priya 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 A. Priya. A. Priya 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.
Priya, A., et al.. (2024). Influence of Standalone and Ensemble Classifiers in Face Spoofing Detection using LBP and CNN Models. European Journal of Electrical Engineering and Computer Science. 8(2). 17–30. 1 indexed citations
3.
Vanitha, N. Suthanthira, et al.. (2024). Challenges Encountered with Reconfigurable Intelligent Surfaces (RIS) in Underwater Communication. 1–5. 1 indexed citations
4.
Priya, A., et al.. (2024). Diabetic Retinopathy Detection Using Retinal Images. 1–5.
5.
Priya, A. & V. Vasudevan. (2024). Advanced Attention-Based Pre-Trained Transfer Learning Model for Accurate Brain Tumor Detection and Classification from MRI Images. Optical Memory and Neural Networks. 33(4). 477–491. 2 indexed citations
6.
Priya, A., et al.. (2024). Body Mass Index (BMI) Estimation from Multi-view Facial Images. 1–6. 1 indexed citations
7.
Priya, A., et al.. (2024). Analysis of Slot Antenna Performance for On-body to In-body Channel Characterization. Progress In Electromagnetics Research Letters. 120. 31–37. 1 indexed citations
8.
Ferdous, A. H. M. Iftekharul, A. Priya, L. Megalan Leo, et al.. (2023). Octagonal PCF with Square-Core for Surface Enhanced Spectroscopic Properties: a New Frontier in Terahertz Chemical Sensing. Plasmonics. 19(3). 1257–1268. 15 indexed citations
9.
10.
Priya, A. & V. Vasudevan. (2023). Brain tumor classification and detection via hybrid alexnet-gru based on deep learning. Biomedical Signal Processing and Control. 89. 105716–105716. 22 indexed citations
11.
Priya, A., et al.. (2022). A Case Report on Caudal Regression Syndrome. International Journal of Science and Research (IJSR). 11(10). 1030–1033.
12.
Priya, A., et al.. (2022). Optimal Algorithm for Credit Card Fraud Detection. 2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS). 7. 1091–1098. 1 indexed citations
13.
Pavithra, S., A. Priya, M. Jayachandran, et al.. (2021). Influence of aloe-vera gel mediated CuO coated LiNiPO4 cathode material in rechargeable battery applications. Inorganic Chemistry Communications. 125. 108459–108459. 12 indexed citations
14.
Priya, A., et al.. (2021). Analysis of Water Contamination and Reporting Using Wireless Sensors Network. Journal of Physics Conference Series. 1964(6). 62030–62030. 1 indexed citations
15.
Priya, A., Shruti Garg, & Neha Prerna Tigga. (2020). Predicting Anxiety, Depression and Stress in Modern Life using Machine Learning Algorithms. Procedia Computer Science. 167. 1258–1267. 244 indexed citations breakdown →
16.
Priya, A., et al.. (2020). Design of Polarization Reconfigurable Patch Antenna for Wireless Communications. The Applied Computational Electromagnetics Society Journal (ACES). 35(8). 893–898. 2 indexed citations
17.
Priya, A., et al.. (2016). A Survey on Various Robotic Fish Models based on Oscillatory Motion. International Journal of Computer Applications. 142(2). 37–42. 2 indexed citations
18.
Priya, A., et al.. (2015). Cyclone Prone Areas in Tamil Nadu State - A Geospatial Approach. 4(2). 2 indexed citations
19.
Priya, A., N. Rajesh, & R. Muthaiah. (2013). Carrier Synchronization in Software Defined Radio using Costas Loop. Indian Journal of Science and Technology. 6(6). 4697–4701. 1 indexed citations
20.
Priya, A., N. Rajesh, & R. Muthaiah. (2013). CARRIER SYNCHRONIZATION IN SOFTWARE DEFINED RADIO FOR 8PSK. 2 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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