P. Subashini
Impact in
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- Image Retrieval and Classification Techniques
- Face and Expression Recognition
- Image and Signal Denoising Methods
- Medical Image Segmentation Techniques
- Media Technology top 10%
Papers in
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- Image and Signal Denoising Methods 10
- Face and Expression Recognition 9
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- Metaheuristic Optimization Algorithms Research 6
- Neural Networks and Applications 5
- AI in cancer detection 5
- Co-authors
- G. Padmavathi (2 shared papers)Celso A. S. Santos (1 shared paper)Gheorghiță Ghinea (3 shared papers)S. Santhosh Baboo (1 shared paper)Diksha Shukla (1 shared paper)Gerald Schaefer (1 shared paper)Aawatif Hayar (1 shared paper)Ramesh Sivanpillai (1 shared paper)
- Journals
- International Journal of Technology Enhanced Learning (1 paper)Bioinformatics and Biology Insights (1 paper)Evolving Systems (1 paper)Journal of Intelligent & Fuzzy Systems (1 paper)International Journal of Electrical and Computer Engineering (IJECE) (2 papers)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
P. Subashini
58 papers receiving 263 citations
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 104
- Media Technology 39
- Artificial Intelligence 101
- Biophysics 13
- Neurology 13
Countries citing papers authored by P. Subashini
This map shows the geographic impact of P. Subashini'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 P. Subashini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Subashini more than expected).
Fields of papers citing papers by P. Subashini
This network shows the impact of papers produced by P. Subashini. 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 P. Subashini. The network helps show where P. Subashini may publish in the future.
Co-authors
The 11 scholars most cited alongside P. Subashini, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 28 | |
| 2 | 2018 | 26 | |
| 3 | 2012 | 17 | |
| 4 | 2013 | 13 | |
| 5 | 2016 | 12 | |
| 6 | 2016 | 11 | |
| 7 | Optimization of image processing techniques using neural networks: a review | 2011 | 10 |
| 8 | 2023 | 9 | |
| 9 | Automatic Noise Identification in Images using Statistical Features | 2011 | 9 |
| 10 | 2013 | 9 | |
| 11 | Performance evaluation of the various edge detectors and filters for the noisy IR images | 2009 | 9 |
| 12 | 2013 | 7 | |
| 13 | Optimal Feature Subset Selection Using Differential Evolution and Extreme Learning Machine | 2014 | 7 |
| 14 | 2014 | 6 | |
| 15 | 2010 | 6 | |
| 16 | 2016 | 5 | |
| 17 | 2011 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2016 | 4 |
About P. Subashini
P. Subashini is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Cognitive Neuroscience and Signal Processing, having authored 65 papers that have together received 282 indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (10 papers), Face and Expression Recognition (9 papers), Metaheuristic Optimization Algorithms Research (6 papers), Spectroscopy and Chemometric Analyses (5 papers), Neural Networks and Applications (5 papers), EEG and Brain-Computer Interfaces (5 papers), AI in cancer detection (5 papers) and Mobile Ad Hoc Networks (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (104 citations), Media Technology (39 citations), Artificial Intelligence (101 citations), Biophysics (13 citations) and Neurology (13 citations). P. Subashini has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include G. Padmavathi, Celso A. S. Santos, Gheorghiță Ghinea, S. Santhosh Baboo, Diksha Shukla, Gerald Schaefer, Aawatif Hayar, Ramesh Sivanpillai, S. Lakshmi and S. N. Geethalakshmi. Their work appears in journals such as International Journal of Technology Enhanced Learning, Bioinformatics and Biology Insights, Evolving Systems, Journal of Intelligent & Fuzzy Systems and International Journal of Electrical and Computer Engineering (IJECE).
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.