M. Shyamala Devi

575 total citations
86 papers, 237 citations indexed

About

M. Shyamala Devi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Health Information Management. According to data from OpenAlex, M. Shyamala Devi has authored 86 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 12 papers in Health Information Management. Recurrent topics in M. Shyamala Devi's work include Artificial Intelligence in Healthcare (12 papers), Smart Agriculture and AI (11 papers) and Cloud Computing and Resource Management (6 papers). M. Shyamala Devi is often cited by papers focused on Artificial Intelligence in Healthcare (12 papers), Smart Agriculture and AI (11 papers) and Cloud Computing and Resource Management (6 papers). M. Shyamala Devi collaborates with scholars based in India, South Korea and Iraq. M. Shyamala Devi's co-authors include R. Suguna, J. Arun Pandian, K. R. Sri Preethaa, Shakila Basheer, Yuvaraj Natarajan, R. Aruna, Oana Geman, V. Dhilip Kumar, Muhammad Arif and Ahmed Ali and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

M. Shyamala Devi

58 papers receiving 224 citations

Peers

M. Shyamala Devi
G. Sajiv India
J. Surendiran India
M. Vadivel India
Krishna Bikram Shah Nepal
Majed Alsafyani Saudi Arabia
Shadi Basurra United Kingdom
Gandikota Ramu India
Muhammad Ibrahim Khalil Pakistan
Hamid Hrimech Morocco
M. Adimoolam India
G. Sajiv India
M. Shyamala Devi
Citations per year, relative to M. Shyamala Devi M. Shyamala Devi (= 1×) peers G. Sajiv

Countries citing papers authored by M. Shyamala Devi

Since Specialization
Citations

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

Fields of papers citing papers by M. Shyamala Devi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Shyamala Devi. 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 M. Shyamala Devi. The network helps show where M. Shyamala Devi may publish in the future.

Co-authorship network of co-authors of M. Shyamala Devi

This figure shows the co-authorship network connecting the top 25 collaborators of M. Shyamala Devi. A scholar is included among the top collaborators of M. Shyamala Devi 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 M. Shyamala Devi. M. Shyamala Devi 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
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Devi, M. Shyamala, et al.. (2024). Deep Q-Network Based Reinforcement Learning for Bitcoin Future Price Prediction. 1–6. 2 indexed citations
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Devi, M. Shyamala, et al.. (2024). Bone feature quantization and systematized attention gate UNet-based deep learning framework for bone fracture classification. Intelligent Data Analysis. 29(2). 513–538. 6 indexed citations
7.
Devi, M. Shyamala, et al.. (2023). Multichannel Approach for Sentiment Analysis Using Stack of Neural Network with Lexicon Based Padding and Attention Mechanism. SHILAP Revista de lepidopterología. 28(1). 137–147.
8.
Preethaa, K. R. Sri, et al.. (2023). Novel ANOVA-Statistic-Reduced Deep Fully Connected Neural Network for the Damage Grade Prediction of Post-Earthquake Buildings. Sensors. 23(14). 6439–6439. 13 indexed citations
9.
Devi, M. Shyamala, V. Dhilip Kumar, Adrian Brezulianu, Oana Geman, & Muhammad Arif. (2023). A Novel Blunge Calibration Intelligent Feature Classification Model for the Prediction of Hypothyroid Disease. Sensors. 23(3). 1128–1128. 12 indexed citations
10.
Kim, Bubryur, Yuvaraj Natarajan, M. Shyamala Devi, et al.. (2022). Deep Learning Activation Layer-Based Wall Quality Recognition Using Conv2D ResNet Exponential Transfer Learning Model. Mathematics. 10(23). 4602–4602. 10 indexed citations
11.
Devi, M. Shyamala, et al.. (2022). In-depth analysis of dynamic degree load balancing technique in public cloud for heterogeneous cloudlets. Indonesian Journal of Electrical Engineering and Computer Science. 27(2). 1119–1119. 1 indexed citations
12.
Devi, M. Shyamala, et al.. (2021). High accuracy offering attention mechanisms based deep learning approach using CNN/bi-LSTM for sentiment analysis. International Journal of Intelligent Computing and Cybernetics. 15(1). 61–74. 13 indexed citations
13.
Devi, M. Shyamala, et al.. (2021). Overhead Cross Section Sampling Machine Learning based Cervical Cancer Risk Factors Prediction. Turkish Online Journal of Qualitative Inquiry. 12(6). 7697–7715. 2 indexed citations
14.
Devi, M. Shyamala. (2021). Convolutional Neural Network Enactment Layer based Ambient Temperature Prediction of Electric Motor. Turkish Journal of Computer and Mathematics Education (TURCOMAT). 12(9). 1847–1855. 1 indexed citations
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Devi, M. Shyamala, et al.. (2020). Feature Scaled Element Balancing with Random Boosting for Heart Disease Prediction using Machine Learning. International Journal of Recent Technology and Engineering (IJRTE). 8(5). 4105–4110.
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Devi, M. Shyamala, et al.. (2019). Smart Secure and Warning System in Hair Pin Bends at Hill Stations Based on ZigBee Technology. International Journal of Recent Technology and Engineering (IJRTE). 8(4). 3174–3177.
17.
Devi, M. Shyamala, et al.. (2019). Regressor Fitting Of Feature Importance For Customer Segment Prediction With Ensembling Schemes Using Machine Learning. International Journal of Engineering and Advanced Technology. 8(6). 952–956. 11 indexed citations
18.
Devi, M. Shyamala, et al.. (2019). Constituent Depletion and Divination of Hypothyroid Prevalance using Machine Learning Classification. International Journal of Innovative Technology and Exploring Engineering. 8(12). 1607–1612. 2 indexed citations
19.
Basheer, Shakila, et al.. (2019). Ensembling Coalesce of Logistic Regression Classifier for Heart Disease Prediction using Machine Learning. International Journal of Innovative Technology and Exploring Engineering. 8(12). 127–133. 7 indexed citations
20.
Devi, M. Shyamala, et al.. (2019). Exploration of Multiple Linear Regression with Ensembling Schemes for Roof Fall Assessment using Machine Learning. International Journal of Innovative Technology and Exploring Engineering. 8(12). 134–139. 3 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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