Elynn Chen: h-index, Total Citations, and Citation Map
Elynn Chen's h-index is 18 (20 i10-index, 959+ total citations across 58+ publications) according to Google Scholar as of June 2026. Elynn Chen is affiliated with New York University, Stern School of Business.
Elynn Chen is a researcher affiliated with New York University, Stern School of Business, specializing in Matrix/Tensor Learning, Reinforcement Learning, Time Series Analysis. Their work has been cited 959 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Elynn Chen's Citation Metrics
Bibliometric impact based on 58 indexed publications.
- H-Index
- 18
- i10-Index
- 20
- Total Citations
- 959
- Citing Countries
- 13
As of June 2026.
Elynn Chen has an h-index of 18 and 959 total citations across 58 publications, with research cited by institutions in 13 countries.
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Constrained factor models for high-dimensional matrix-variate time series
2019155
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Elynn Chen's research
Elynn Chen is a researcher in Matrix/Tensor Learning, Reinforcement Learning and Time Series Analysis at New York University, Stern School of Business. Their work has been cited 959 times across 58 publications (h-index 18), according to Google Scholar.
Their most-cited work, “Constrained factor models for high-dimensional matrix-variate time series” (2019), has accumulated 155 citations. Other influential works include “Statistical inference for high-dimensional matrix-variate factor models” (2023) with 154 citations and “On projection robust optimal transport: Sample complexity and model misspecification” (2021) with 88 citations.
Citations of Elynn Chen's research come primarily from United States, China and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
