Brandon Yang
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
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- COVID-19 diagnosis using AI
- Radiomics and Machine Learning in Medical Imaging
- Radiology practices and education
Papers in
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- Surface Modification and Superhydrophobicity 1
- Co-authors
- Avanika Narayan (1 shared paper)Christopher Ré (1 shared paper)Simran Kaur Arora (1 shared paper)Immanuel Trummer (1 shared paper)Ram S. Bhatta (1 shared paper)Mesfin Tsige (1 shared paper)Jiquan Ngiam (1 shared paper)Vijay Vasudevan (1 shared paper)
- Journals
- PLoS Medicine (1 paper)Proceedings of the VLDB Endowment (1 paper)Chemical Physics Letters (1 paper)Lecture notes in computer science (1 paper)
- Partner nations
- United States
In The Last Decade
Brandon Yang
4 papers receiving 1000 citations
Brandon Yang's Hit Papers
Peers
Comparison fields: 5 of 111
- Health Informatics 224
- Radiology, Nuclear Medicine and Imaging 590
- Health Information Management 43
- Artificial Intelligence 328
- Pulmonary and Respiratory Medicine 180
Countries citing papers authored by Brandon Yang
This map shows the geographic impact of Brandon Yang'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 Brandon Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brandon Yang more than expected).
Fields of papers citing papers by Brandon Yang
This network shows the impact of papers produced by Brandon Yang. 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 Brandon Yang. The network helps show where Brandon Yang may publish in the future.
Co-authors
The 14 scholars most cited alongside Brandon Yang, 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 | Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists Hit paper breakdown → | 2018 | 987 |
| 2 | 2023 | 36 | |
| 3 | 2020 | 14 | |
| 4 | 2015 | 6 |
About Brandon Yang
Brandon Yang is a scholar working on Instrumentation, Surfaces, Coatings and Films, Automotive Engineering, Management Science and Operations Research and Radiology, Nuclear Medicine and Imaging, having authored 4 papers that have together received 1.0k indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (1 paper), Surface Modification and Superhydrophobicity (1 paper), Advanced Sensor and Energy Harvesting Materials (1 paper), Topic Modeling (1 paper), Software System Performance and Reliability (1 paper), Nanopore and Nanochannel Transport Studies (1 paper), COVID-19 diagnosis using AI (1 paper) and Advanced Neural Network Applications (1 paper). The work is most often cited by research in Health Informatics (224 citations), Radiology, Nuclear Medicine and Imaging (590 citations), Health Information Management (43 citations), Artificial Intelligence (328 citations) and Pulmonary and Respiratory Medicine (180 citations). Brandon Yang has collaborated with scholars based in United States. Frequent co-authors include Avanika Narayan, Christopher Ré, Simran Kaur Arora, Immanuel Trummer, Ram S. Bhatta, Mesfin Tsige, Jiquan Ngiam, Vijay Vasudevan, Ouais Alsharif and Christoph Sprunk. Their work appears in journals such as PLoS Medicine, Proceedings of the VLDB Endowment, Chemical Physics Letters and Lecture notes in computer science.
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.