Mudit Jain
Impact in
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- Multimodal Machine Learning Applications
- Digital Imaging for Blood Diseases
Papers in
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- AI in cancer detection 3
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- COVID-19 diagnosis using AI 3
- Radiomics and Machine Learning in Medical Imaging 1
- Co-authors
- Rayan Krishnan (1 shared paper)Andrew Y. Ng (2 shared papers)Matthew P. Lungren (2 shared papers)Sharon Zhou (1 shared paper)Saahil Jain (1 shared paper)Deepak Rai (1 shared paper)Anuj Pareek (1 shared paper)Steven Q. H. Truong (1 shared paper)
- Journals
- arXiv (Cornell University) (1 paper)
- Partner nations
- VietnamIndiaUnited States
In The Last Decade
Mudit Jain
4 papers receiving 8 citations
Peers
Comparison fields: 5 of 6
- Health Information Management 1
- Computer Vision and Pattern Recognition 4
- Artificial Intelligence 6
- Biophysics 1
- Radiology, Nuclear Medicine and Imaging 3
Countries citing papers authored by Mudit Jain
This map shows the geographic impact of Mudit Jain'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 Mudit Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mudit Jain more than expected).
Fields of papers citing papers by Mudit Jain
This network shows the impact of papers produced by Mudit Jain. 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 Mudit Jain. The network helps show where Mudit Jain may publish in the future.
Co-authors
The 12 scholars most cited alongside Mudit Jain, 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 | 3 | |
| 2 | GOAL: Gist-set Online Active Learning for Efficient Chest X-ray Image Annotation | 2021 | 2 |
| 3 | CheXphoto: 10,000+ Photos and Transformations of Chest X-rays for Benchmarking Deep Learning Robustness | 2020 | 2 |
| 4 | 2023 | 1 |
About Mudit Jain
Mudit Jain is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Health Information Management, Pulmonary and Respiratory Medicine and Health Informatics, having authored 4 papers that have together received 8 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (3 papers), AI in cancer detection (3 papers), Artificial Intelligence in Healthcare and Education (1 paper), Lung Cancer Diagnosis and Treatment (1 paper), Artificial Intelligence in Healthcare (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Health Information Management (1 citation), Computer Vision and Pattern Recognition (4 citations), Artificial Intelligence (6 citations), Biophysics (1 citation) and Radiology, Nuclear Medicine and Imaging (3 citations). Mudit Jain has collaborated with scholars based in Vietnam, India and United States. Frequent co-authors include Rayan Krishnan, Andrew Y. Ng, Matthew P. Lungren, Sharon Zhou, Saahil Jain, Deepak Rai, Anuj Pareek, Steven Q. H. Truong, Trung Bui and Akshay Smit. Their work appears in journals such as arXiv (Cornell University).
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.