A. Shanthini

883 total citations
29 papers, 424 citations indexed

About

A. Shanthini is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, A. Shanthini has authored 29 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Information Systems, 6 papers in Computer Vision and Pattern Recognition and 6 papers in Artificial Intelligence. Recurrent topics in A. Shanthini's work include Online Learning and Analytics (4 papers), Smart Agriculture and AI (4 papers) and Software Engineering Research (3 papers). A. Shanthini is often cited by papers focused on Online Learning and Analytics (4 papers), Smart Agriculture and AI (4 papers) and Software Engineering Research (3 papers). A. Shanthini collaborates with scholars based in India, China and United States. A. Shanthini's co-authors include Seifedine Kadry, Gunasekaran Manogaran, Revathi Sundarasekar, Suyel Namasudra, C. B. Sivaparthipan, Revathi Sundarasekar, BalaAnand Muthu, R. Chandrasekaran, G. Arul Freeda Vinodhini and G. N. Vivekananda and has published in prestigious journals such as Future Generation Computer Systems, Computer Communications and Environmental Impact Assessment Review.

In The Last Decade

A. Shanthini

26 papers receiving 396 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Shanthini India 11 146 139 119 79 47 29 424
D. Kavitha India 10 99 0.7× 110 0.8× 93 0.8× 59 0.7× 32 0.7× 39 338
Haya Elayan United Arab Emirates 7 96 0.7× 151 1.1× 162 1.4× 43 0.5× 46 1.0× 8 484
N. Jayapandian India 11 132 0.9× 109 0.8× 105 0.9× 68 0.9× 14 0.3× 78 371
Marwan Yassin Ghafour Iran 8 135 0.9× 139 1.0× 93 0.8× 32 0.4× 37 0.8× 10 389
Saima Anwar Lashari Malaysia 10 66 0.5× 108 0.8× 135 1.1× 76 1.0× 36 0.8× 42 407
Abdul Hadi M. Alaidi Iraq 11 94 0.6× 61 0.4× 74 0.6× 92 1.2× 18 0.4× 22 457
Chandu Thota Cyprus 3 148 1.0× 196 1.4× 76 0.6× 56 0.7× 44 0.9× 6 396
Ninni Singh India 14 53 0.4× 61 0.4× 117 1.0× 81 1.0× 30 0.6× 28 427
Mohammad Ahsan Chishti India 15 154 1.1× 287 2.1× 147 1.2× 82 1.0× 15 0.3× 59 565
Mohammad Tabrez Quasim Saudi Arabia 11 219 1.5× 200 1.4× 135 1.1× 67 0.8× 33 0.7× 51 495

Countries citing papers authored by A. Shanthini

Since Specialization
Citations

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

Fields of papers citing papers by A. Shanthini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of A. Shanthini. A scholar is included among the top collaborators of A. Shanthini 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. Shanthini. A. Shanthini 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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Shanthini, A., et al.. (2024). GLDICCNN Model: Groundnut Leaf Diseases Identification and Classification for Multiclass Classification Using Deep Learning. Journal of Advances in Information Technology. 15(7). 812–821. 1 indexed citations
3.
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Shanthini, A., et al.. (2023). Potato Leaf Disease Classification using Deep Learning : A Convolutional Neural Network Approach. 218–223. 3 indexed citations
5.
Shanthini, A., et al.. (2023). Brain Tumor Detection & Classification into Different Categories using Deep Learning Model. 1–7. 1 indexed citations
6.
Shanthini, A., et al.. (2023). Ovarian cancer detection in computed tomography images using ensembled deep optimized learning classifier. Concurrency and Computation Practice and Experience. 35(22). 12 indexed citations
7.
Vivekananda, G. N., et al.. (2022). Supervision system of english online teaching based on machine learning. Progress in Artificial Intelligence. 12(2). 187–198. 16 indexed citations
8.
Manogaran, Gunasekaran, et al.. (2022). Proceedings of International Conference on Deep Learning, Computing and Intelligence. Advances in intelligent systems and computing. 15 indexed citations
9.
Cui, Yong, et al.. (2021). Big data visualization using multimodal feedback in education. Computers & Electrical Engineering. 96. 107544–107544. 11 indexed citations
10.
Shanthini, A. & G. Arul Freeda Vinodhini. (2021). Surveil and Prediction of Pandemic Disease by Fine-Tuning Hyperparameters in Deep Learning. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems. 29(6). 855–873. 1 indexed citations
11.
Tom, Rijo Jackson, et al.. (2021). Prediction of Bitcoin Price Using Bi-LSTM Network. 1–5. 11 indexed citations
12.
Krishnamoorthy, Sujatha, A. Shanthini, Gunasekaran Manogaran, et al.. (2021). Regression Model-based Feature Filtering for Improving Hemorrhage Detection Accuracy in Diabetic Retinopathy Treatment. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems. 29(Supp01). 51–71. 5 indexed citations
13.
Namasudra, Suyel, et al.. (2020). Towards DNA based data security in the cloud computing environment. Computer Communications. 151. 539–547. 104 indexed citations
14.
Su, Fang, et al.. (2020). Systematic effective modeling and geospatial information framework for environmental issues in urban areas. Environmental Impact Assessment Review. 86. 106507–106507. 5 indexed citations
15.
Shanthini, A., et al.. (2020). Determinants Influencing Towards the Consumption of Green Products among the Consumers: A Structural Equation Approach. Indian Journal of Public Health Research & Development. 11(2). 680–680. 1 indexed citations
16.
Mao, Jia, et al.. (2020). CVRRSS‐CHD: Computer vision‐related roadside surveillance system using compound hierarchical‐deep models. IET Intelligent Transport Systems. 14(11). 1353–1362. 2 indexed citations
17.
Shanthini, A., et al.. (2019). Human Gait Recognition using Deep Convolutional Neural Network. 208–211. 20 indexed citations
18.
Shanthini, A., G. Arul Freeda Vinodhini, & R. Chandrasekaran. (2018). Predicting Students’ Academic Performance in the University Using Meta Decision Tree Classifiers. Journal of Computer Science. 14(5). 654–662. 23 indexed citations
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Shanthini, A., G. Arul Freeda Vinodhini, & R. Chandrasekaran. (2014). Effect of Principle Component Analysis and Support Vector Machine in Software Fault Prediction. International Journal of Computer Trends and Technology. 7(3). 131–136. 1 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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