Preetha Phillips
Impact in
- Neurology top 0.5%
- Brain Tumor Detection and Classification
-
- Face and Expression Recognition
- Digital Imaging for Blood Diseases
Papers in
- Neurology 22
- Brain Tumor Detection and Classification 22
-
- Medical Image Segmentation Techniques 5
- Image and Signal Denoising Methods 5
- Digital Imaging for Blood Diseases 4
- Co-authors
- Shuihua Wang (43 shared papers)Yudong Zhang (44 shared papers)Genlin Ji (15 shared papers)Zhengchao Dong (17 shared papers)Jiquan Yang (7 shared papers)Ti‐Fei Yuan (5 shared papers)Ming Yang (4 shared papers)Jianfei Yang (6 shared papers)
- Journals
- International Journal of Imaging Systems and Technology (3 papers)Journal of Alzheimer s Disease (3 papers)IEEE Access (2 papers)Alzheimer s & Dementia (2 papers)Journal of Medical Systems (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Preetha Phillips
57 papers receiving 3.9k citations
Preetha Phillips's Hit Papers
Peers
Comparison fields: 5 of 156
- Neurology 1.2k
- Computer Vision and Pattern Recognition 1.3k
- Health Information Management 172
- Artificial Intelligence 1.3k
- Analytical Chemistry 371
Countries citing papers authored by Preetha Phillips
This map shows the geographic impact of Preetha Phillips'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 Preetha Phillips with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Preetha Phillips more than expected).
Fields of papers citing papers by Preetha Phillips
This network shows the impact of papers produced by Preetha Phillips. 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 Preetha Phillips. The network helps show where Preetha Phillips may publish in the future.
Co-authors
The 25 scholars most cited alongside Preetha Phillips, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Binary PSO with mutation operator for feature selection using decision tree applied to spam detection Hit paper breakdown → | 2014 | 345 |
| 2 | Classification of Alzheimer’s Disease Based on Eight-Layer Convolutional Neural Network with Leaky Rectified Linear Unit and Max Pooling Hit paper breakdown → | 2018 | 262 |
| 3 | 2014 | 237 | |
| 4 | 2015 | 215 | |
| 5 | 2016 | 195 | |
| 6 | 2015 | 166 | |
| 7 | 2015 | 151 | |
| 8 | 2017 | 136 | |
| 9 | 2016 | 130 | |
| 10 | 2017 | 125 | |
| 11 | 2015 | 118 | |
| 12 | 2018 | 118 | |
| 13 | 2017 | 107 | |
| 14 | 2016 | 105 | |
| 15 | 2015 | 102 | |
| 16 | 2016 | 100 | |
| 17 | 2015 | 99 | |
| 18 | 2016 | 88 | |
| 19 | 2016 | 87 | |
| 20 | 2015 | 87 |
About Preetha Phillips
Preetha Phillips is a scholar working on Neurology, Computer Vision and Pattern Recognition, Artificial Intelligence, Urban Studies and Biomedical Engineering, having authored 57 papers that have together received 4.0k indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (22 papers), Advanced Computing and Algorithms (8 papers), Spectroscopy and Chemometric Analyses (7 papers), Medical Image Segmentation Techniques (5 papers), Image and Signal Denoising Methods (5 papers), Digital Imaging for Blood Diseases (4 papers), Image Processing Techniques and Applications (4 papers) and Machine Learning and ELM (4 papers). The work is most often cited by research in Neurology (1.2k citations), Computer Vision and Pattern Recognition (1.3k citations), Health Information Management (172 citations), Artificial Intelligence (1.3k citations) and Analytical Chemistry (371 citations). Preetha Phillips has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Shuihua Wang, Yudong Zhang, Genlin Ji, Zhengchao Dong, Jiquan Yang, Ti‐Fei Yuan, Ming Yang, Jianfei Yang, Bin Liu and Hong Cheng. Their work appears in journals such as International Journal of Imaging Systems and Technology, Journal of Alzheimer s Disease, IEEE Access, Alzheimer s & Dementia and Journal of Medical Systems.
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.