Simon Shaolei Du Google Scholar: h-index, Total Citations, and Citation Map
Simon Shaolei Du's h-index is 64 (133 i10-index, 18,278+ total citations across 100+ publications) according to Google Scholar as of November 2026. Simon Shaolei Du is affiliated with School of Computer Science and Engineering, University of Washington.
Simon Shaolei Du is a researcher affiliated with School of Computer Science and Engineering, University of Washington, specializing in Machine Learning. Their work has been cited 18,278 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Simon Shaolei Du's Citation Metrics
Bibliometric impact based on 100 indexed publications.
- H-Index
- 64
- i10-Index
- 133
- Total Citations
- 18,278
- Citing Countries
- 68
As of November 2026.
Simon Shaolei Du has an h-index of 64 and 18,278 total citations across 100 publications, with research cited by institutions in 68 countries.
Global Impact Map
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Gradient descent finds global minima of deep neural networks
20181,825
Top Citing Countries
Top Citing Institutions
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Simon Shaolei Du's research
Simon Shaolei Du is a researcher in Machine Learning at School of Computer Science and Engineering, University of Washington. Their work has been cited 18,278 times across 100 publications (h-index 64), according to Google Scholar.
Their most-cited work, “Gradient descent finds global minima of deep neural networks” (2018), has accumulated 1,825 citations. Other influential works include “Fine-grained analysis of optimization and generalization for overparameterized two-layer neural networks” (2019) with 1,437 citations and “On exact computation with an infinitely wide neural net” (2019) with 1,396 citations.
Citations of Simon Shaolei Du'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.
