Yeming Wen
Impact in
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- Software Testing and Debugging Techniques
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- Scientific Computing and Data Management
Papers in
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- Natural Language Processing Techniques 1
- Topic Modeling 1
- Computational Physics and Python Applications 1
- Co-authors
- Abhishek S. Rao (1 shared paper)Pengcheng Yin (1 shared paper)J. J. Howland (1 shared paper)Kefan Xiao (1 shared paper)Charles A. Sutton (1 shared paper)Michele Catasta (1 shared paper)Henryk Michalewski (1 shared paper)Oleksandr Polozov (1 shared paper)
- Journals
- International Conference on Artificial Intelligence and Statistics (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Yeming Wen
2 papers receiving 13 citations
Peers
Comparison fields: 5 of 10
- Software 2
- Information Systems and Management 3
- Computer Vision and Pattern Recognition 4
- Artificial Intelligence 6
- Hardware and Architecture 1
Countries citing papers authored by Yeming Wen
This map shows the geographic impact of Yeming Wen'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 Yeming Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeming Wen more than expected).
Fields of papers citing papers by Yeming Wen
This network shows the impact of papers produced by Yeming Wen. 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 Yeming Wen. The network helps show where Yeming Wen may publish in the future.
Co-authors
The 13 scholars most cited alongside Yeming Wen, 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 | 2023 | 13 | |
| 2 | An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise | 2020 | 1 |
About Yeming Wen
Yeming Wen is a scholar working on Artificial Intelligence, Insect Science, Renewable Energy, Sustainability and the Environment, Obstetrics and Gynecology and Anesthesiology and Pain Medicine, having authored 2 papers that have together received 14 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (1 paper), Topic Modeling (1 paper) and Computational Physics and Python Applications (1 paper). The work is most often cited by research in Software (2 citations), Information Systems and Management (3 citations), Computer Vision and Pattern Recognition (4 citations), Artificial Intelligence (6 citations) and Hardware and Architecture (1 citation). Yeming Wen has collaborated with scholars based in United States and Canada. Frequent co-authors include Abhishek S. Rao, Pengcheng Yin, J. J. Howland, Kefan Xiao, Charles A. Sutton, Michele Catasta, Henryk Michalewski, Oleksandr Polozov, Paige Bailey and Kensen Shi. Their work appears in journals such as International Conference on Artificial Intelligence and Statistics.
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.