Sushovan Chaudhury
Impact in
- Health Information Management top 10%
Papers in
-
- AI in cancer detection 6
- Sentiment Analysis and Opinion Mining 4
- Text and Document Classification Technologies 2
- Advanced Text Analysis Techniques 2
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- Radiomics and Machine Learning in Medical Imaging 2
- COVID-19 diagnosis using AI 2
- Co-authors
- Nilesh Shelke (3 shared papers)Sunil L. Bangare (1 shared paper)Pratibha Pandey (1 shared paper)S Raghavendra (2 shared papers)Isaac Ofori (1 shared paper)Karthikeyan Kaliyaperumal (1 shared paper)Souvik Ganguli (1 shared paper)K. Sakthidasan Sankaran (1 shared paper)
- Journals
- Mathematical Biosciences & Engineering (1 paper)Mathematical Problems in Engineering (2 papers)Journal of Food Quality (1 paper)Fluctuation and Noise Letters (1 paper)Current Signal Transduction Therapy (1 paper)
- Partner nations
- IndiaPhilippinesTürkiye
In The Last Decade
Sushovan Chaudhury
14 papers receiving 197 citations
Peers
Comparison fields: 5 of 68
- Health Informatics 4
- Health Information Management 12
- Artificial Intelligence 89
- Neurology 20
- Analytical Chemistry 18
Countries citing papers authored by Sushovan Chaudhury
This map shows the geographic impact of Sushovan Chaudhury'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 Sushovan Chaudhury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sushovan Chaudhury more than expected).
Fields of papers citing papers by Sushovan Chaudhury
This network shows the impact of papers produced by Sushovan Chaudhury. 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 Sushovan Chaudhury. The network helps show where Sushovan Chaudhury may publish in the future.
Co-authors
The 17 scholars most cited alongside Sushovan Chaudhury, 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 | 2022 | 70 | |
| 2 | 2022 | 29 | |
| 3 | 2022 | 26 | |
| 4 | 2023 | 23 | |
| 5 | 2022 | 18 | |
| 6 | 2023 | 11 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 9 | |
| 10 | 2023 | 5 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2021 | 1 | |
| 14 | 2024 | 1 |
About Sushovan Chaudhury
Sushovan Chaudhury is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Information Systems, Computer Vision and Pattern Recognition and Neurology, having authored 14 papers that have together received 216 indexed citations. Recurring topics across this work include AI in cancer detection (6 papers), Sentiment Analysis and Opinion Mining (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Brain Tumor Detection and Classification (2 papers), Spam and Phishing Detection (2 papers), Text and Document Classification Technologies (2 papers), Advanced Text Analysis Techniques (2 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Health Informatics (4 citations), Health Information Management (12 citations), Artificial Intelligence (89 citations), Neurology (20 citations) and Analytical Chemistry (18 citations). Sushovan Chaudhury has collaborated with scholars based in India, Philippines and Türkiye. Frequent co-authors include Nilesh Shelke, Sunil L. Bangare, Pratibha Pandey, S Raghavendra, Isaac Ofori, Karthikeyan Kaliyaperumal, Souvik Ganguli, K. Sakthidasan Sankaran, Mohammad Shabaz and Muhammad Attique Khan. Their work appears in journals such as Mathematical Biosciences & Engineering, Mathematical Problems in Engineering, Journal of Food Quality, Fluctuation and Noise Letters and Current Signal Transduction Therapy.
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.