Krushi Patel
Impact in
-
- Advanced Neural Network Applications
- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
-
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
Papers in
-
- Advanced Neural Network Applications 3
- Oncology 2
- Colorectal Cancer Screening and Detection 2
- Co-authors
- Guanghui Wang (8 shared papers)Andrés M. Bur (2 shared papers)Ajay Bansal (2 shared papers)Amit Rastogi (2 shared papers)Kaidong Li (2 shared papers)Cuncong Zhong (2 shared papers)Jean S. Wang (1 shared paper)Tianxiao Zhang (1 shared paper)
- Journals
- PLoS ONE (1 paper)Scientific Reports (1 paper)Pattern Recognition Letters (1 paper)2022 26th International Conference on Pattern Recognition (ICPR) (1 paper)PubMed (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Krushi Patel
8 papers receiving 345 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 120
- Radiology, Nuclear Medicine and Imaging 110
- Oncology 118
- Ecological Modeling 17
- Artificial Intelligence 116
Countries citing papers authored by Krushi Patel
This map shows the geographic impact of Krushi Patel'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 Krushi Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krushi Patel more than expected).
Fields of papers citing papers by Krushi Patel
This network shows the impact of papers produced by Krushi Patel. 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 Krushi Patel. The network helps show where Krushi Patel may publish in the future.
Co-authors
The 17 scholars most cited alongside Krushi Patel, 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 | 2021 | 93 | |
| 2 | 2021 | 86 | |
| 3 | 2021 | 70 | |
| 4 | 2020 | 61 | |
| 5 | 2022 | 27 | |
| 6 | 2021 | 11 | |
| 7 | 2024 | 3 | |
| 8 | 2020 | 1 |
About Krushi Patel
Krushi Patel is a scholar working on Computer Vision and Pattern Recognition, Oncology, Artificial Intelligence, Media Technology and Molecular Biology, having authored 8 papers that have together received 352 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Vehicle License Plate Recognition (2 papers), Colorectal Cancer Screening and Detection (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Insect and Pesticide Research (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), Brain Tumor Detection and Classification (1 paper) and Plant and animal studies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (120 citations), Radiology, Nuclear Medicine and Imaging (110 citations), Oncology (118 citations), Ecological Modeling (17 citations) and Artificial Intelligence (116 citations). Krushi Patel has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Guanghui Wang, Andrés M. Bur, Ajay Bansal, Amit Rastogi, Kaidong Li, Cuncong Zhong, Jean S. Wang, Tianxiao Zhang, Richard G. Hatfield and Brian J. Spiesman. Their work appears in journals such as PLoS ONE, Scientific Reports, Pattern Recognition Letters, 2022 26th International Conference on Pattern Recognition (ICPR) and PubMed.
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.