Christopher Yeh
Impact in
- Transportation top 10%
- Human Mobility and Location-Based Analysis
- Urban Transport and Accessibility
- Global and Planetary Change top 10%
- Impact of Light on Environment and Health
- Land Use and Ecosystem Services
Papers in
- Co-authors
- Marshall Burke (2 shared papers)David B. Lobell (2 shared papers)Anne Driscoll (2 shared papers)Stefano Ermon (2 shared papers)George Azzari (1 shared paper)Mary Kay Lobo (1 shared paper)X. William Yang (1 shared paper)Peter Bailis (1 shared paper)
- Journals
- Nature Communications (1 paper)IEEE Transactions on Smart Grid (1 paper)Scientific Reports (1 paper)Journal of Neuroscience Research (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesTaiwanSouth Korea
In The Last Decade
Christopher Yeh
6 papers receiving 307 citations
Christopher Yeh's Hit Papers
Peers
Comparison fields: 5 of 96
- Transportation 45
- Global and Planetary Change 131
- Media Technology 34
- Developmental Neuroscience 13
- Modeling and Simulation 13
Countries citing papers authored by Christopher Yeh
This map shows the geographic impact of Christopher Yeh'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 Christopher Yeh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Yeh more than expected).
Fields of papers citing papers by Christopher Yeh
This network shows the impact of papers produced by Christopher Yeh. 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 Christopher Yeh. The network helps show where Christopher Yeh may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher Yeh, 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 | Using publicly available satellite imagery and deep learning to understand economic well-being in Africa Hit paper breakdown → | 2020 | 253 |
| 2 | 2008 | 50 | |
| 3 | Selection via Proxy: Efficient Data Selection for Deep Learning | 2020 | 6 |
| 4 | 2018 | 5 | |
| 5 | 2024 | 5 | |
| 6 | 2021 | 4 |
About Christopher Yeh
Christopher Yeh is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Control and Systems Engineering, Sociology and Political Science and Epidemiology, having authored 6 papers that have together received 323 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (1 paper), Hepatitis B Virus Studies (1 paper), COVID-19 epidemiological studies (1 paper), Liver Disease Diagnosis and Treatment (1 paper), COVID-19 impact on air quality (1 paper), Machine Learning and Data Classification (1 paper), Control and Stability of Dynamical Systems (1 paper) and Machine Learning and Algorithms (1 paper). The work is most often cited by research in Transportation (45 citations), Global and Planetary Change (131 citations), Media Technology (34 citations), Developmental Neuroscience (13 citations) and Modeling and Simulation (13 citations). Christopher Yeh has collaborated with scholars based in United States, Taiwan and South Korea. Frequent co-authors include Marshall Burke, David B. Lobell, Anne Driscoll, Stefano Ermon, George Azzari, Mary Kay Lobo, X. William Yang, Peter Bailis, Jure Leskovec and Percy Liang. Their work appears in journals such as Nature Communications, IEEE Transactions on Smart Grid, Scientific Reports, Journal of Neuroscience Research and 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.