Yejin Choi: h-index, Total Citations, and Citation Map
Yejin Choi's h-index is 141 (413 i10-index, 100,770+ total citations across 646+ publications) according to Google Scholar as of July 2026. Yejin Choi is affiliated with Stanford University / NVIDIA.
Yejin Choi is a researcher affiliated with Stanford University / NVIDIA, specializing in Natural Language Processing, Deep Learning, Artificial Intelligence. Their work has been cited 100,770 times. This profile visualizes their global influence, spanning a global audience.
Yejin Choi's Citation Metrics
Bibliometric impact based on 646 indexed publications.
- H-Index
- 141
- i10-Index
- 413
- Total Citations
- 100,770
- Citing Countries
- 0
As of July 2026.
Yejin Choi has an h-index of 141 and 100,770 total citations across 646 publications, with research cited by institutions in 0 countries.
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The curious case of neural text degeneration
20195,359
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Citation Trend (Last 10 Years)
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About Yejin Choi's research
Yejin Choi is a researcher in Natural Language Processing, Deep Learning and Artificial Intelligence at Stanford University / NVIDIA. Their work has been cited 100,770 times across 646 publications (h-index 141), according to Google Scholar.
Their most-cited work, “The curious case of neural text degeneration” (2019), has accumulated 5,359 citations. Other influential works include “Hellaswag: Can a machine really finish your sentence?” (2019) with 4,838 citations and “Winogrande: An adversarial winograd schema challenge at scale” (2021) with 3,775 citations.
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