David A. Mong
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
-
- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
Papers in
-
- Lung Cancer Diagnosis and Treatment 2
- Neonatal Respiratory Health Research 1
- Vasculitis and related conditions 1
- Surgery 5
- Congenital Diaphragmatic Hernia Studies 2
- Co-authors
- Curtis P. Langlotz (2 shared papers)Matthew P. Lungren (2 shared papers)Safwan S. Halabi (1 shared paper)David B. Larson (1 shared paper)Yifan Yu (1 shared paper)Bhavik N. Patel (1 shared paper)Richard H. Jones (1 shared paper)Pranav Rajpurkar (1 shared paper)
- Journals
- Seminars in Thoracic and Cardiovascular Surgery (1 paper)Artificial Intelligence in Medicine (1 paper)Medical Image Analysis (1 paper)Pediatric Anesthesia (1 paper)Pediatric Rheumatology (1 paper)
- Partner nations
- United States
In The Last Decade
David A. Mong
12 papers receiving 1.7k citations
David A. Mong's Hit Papers
Peers
Comparison fields: 5 of 117
- Health Informatics 224
- Radiology, Nuclear Medicine and Imaging 1.0k
- Artificial Intelligence 1.0k
- Computer Vision and Pattern Recognition 370
- Health Information Management 60
Countries citing papers authored by David A. Mong
This map shows the geographic impact of David A. Mong'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 David A. Mong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Mong more than expected).
Fields of papers citing papers by David A. Mong
This network shows the impact of papers produced by David A. Mong. 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 David A. Mong. The network helps show where David A. Mong may publish in the future.
Co-authors
The 25 scholars most cited alongside David A. Mong, 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 | CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison Hit paper breakdown → | 2019 | 1547 |
| 2 | 2018 | 206 | |
| 3 | 2016 | 27 | |
| 4 | 2020 | 7 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 4 | |
| 7 | 2021 | 3 | |
| 8 | 2017 | 2 | |
| 9 | 2023 | 1 | |
| 10 | 2022 | 1 | |
| 11 | 2025 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2023 | 0 | |
| 14 | 2010 | 0 | |
| 15 | 2010 | 0 |
About David A. Mong
David A. Mong is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Epidemiology, Critical Care and Intensive Care Medicine and Artificial Intelligence, having authored 15 papers that have together received 1.8k indexed citations. Recurring topics across this work include Machine Learning in Healthcare (2 papers), Ultrasound in Clinical Applications (2 papers), Congenital Diaphragmatic Hernia Studies (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Congenital Heart Disease Studies (2 papers), Neonatal Respiratory Health Research (1 paper), Bone fractures and treatments (1 paper) and Vasculitis and related conditions (1 paper). The work is most often cited by research in Health Informatics (224 citations), Radiology, Nuclear Medicine and Imaging (1.0k citations), Artificial Intelligence (1.0k citations), Computer Vision and Pattern Recognition (370 citations) and Health Information Management (60 citations). David A. Mong has collaborated with scholars based in United States. Frequent co-authors include Curtis P. Langlotz, Matthew P. Lungren, Safwan S. Halabi, David B. Larson, Yifan Yu, Bhavik N. Patel, Richard H. Jones, Pranav Rajpurkar, Michael Ko and Jeremy Irvin. Their work appears in journals such as Seminars in Thoracic and Cardiovascular Surgery, Artificial Intelligence in Medicine, Medical Image Analysis, Pediatric Anesthesia and Pediatric Rheumatology.
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.