Preetha Phillips
Impact in
- Neurology top 0.5%
- Brain Tumor Detection and Classification
-
- Face and Expression Recognition
- Digital Imaging for Blood Diseases
- Medical Image Segmentation Techniques
Papers in
- Neurology 26
- Brain Tumor Detection and Classification 26
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- Advanced Computing and Algorithms 9
- Co-authors
- Shuihua WangYudong ZhangGenlin JiZhengchao DongJiquan YangTi‐Fei YuanMing YangJianfei Yang
- Journals
- Journal of Alzheimer s Disease (3 papers)International Journal of Imaging Systems and Technology (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
58 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Neurology 1.3k
- Computer Vision and Pattern Recognition 1.4k
- Artificial Intelligence 1.3k
- Health Information Management 179
- Analytical Chemistry 367
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 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 | 257 |
| 3 | 2018 | 118 | |
| 4 | 2018 | 3 | |
| 5 | 2016 | 30 | |
| 6 | 2016 | 52 | |
| 7 | 2016 | 38 | |
| 8 | 2016 | 88 | |
| 9 | 2016 | 105 | |
| 10 | 2016 | 43 | |
| 11 | 2016 | 100 | |
| 12 | 2015 | 2 | |
| 13 | 2015 | 118 | |
| 14 | 2015 | 215 | |
| 15 | 2015 | 82 | |
| 16 | 2015 | 73 | |
| 17 | 2015 | 87 | |
| 18 | 1998 | 1 | |
| 19 | 1998 | 3 | |
| 20 | 1996 | 3 |
About Preetha Phillips
Preetha Phillips is a scholar working on Neurology, Urban Studies, Computer Vision and Pattern Recognition, Analytical Chemistry and Media Technology, having authored 58 papers that have together received 4.0k indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (26 papers), Advanced Computing and Algorithms (9 papers), Spectroscopy and Chemometric Analyses (7 papers), Machine Learning and ELM (5 papers), Medical Image Segmentation Techniques (5 papers), Image and Signal Denoising Methods (5 papers), Digital Imaging for Blood Diseases (4 papers) and Smart Agriculture and AI (4 papers). The work is most often cited by research in Neurology (1.3k citations), Computer Vision and Pattern Recognition (1.4k citations), Artificial Intelligence (1.3k citations), Health Information Management (179 citations) and Analytical Chemistry (367 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 Journal of Alzheimer s Disease, International Journal of Imaging Systems and Technology, 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.