Daxin Jiang: h-index, Total Citations, and Citation Map
Daxin Jiang's h-index is 69 (184 i10-index, 30,016+ total citations across 271+ publications) according to Google Scholar as of September 2026. Daxin Jiang is affiliated with Microsoft.
Daxin Jiang is a researcher affiliated with Microsoft, specializing in Deep Learning, Foundation Models. Their work has been cited 30,016 times. This profile visualizes their global influence, spanning a global audience.
Daxin Jiang's Citation Metrics
Bibliometric impact based on 271 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 69
- i10-Index
- 184
- Total Citations
- 30,016
- Citing Countries
- 0
As of September 2026.
Daxin Jiang has an h-index of 69 and 30,016 total citations across 271 publications, with research cited by institutions in 0 countries.
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Codebert: A pre-trained model for programming and natural languages
20205,381
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Citation Trend (Last 10 Years)
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About Daxin Jiang's research
Daxin Jiang is a researcher in Deep Learning and Foundation Models at Microsoft. Their work has been cited 30,016 times across 271 publications (h-index 69), according to Google Scholar.
Their most-cited work, “Codebert: A pre-trained model for programming and natural languages” (2020), has accumulated 5,381 citations. Other influential works include “Graphcodebert: Pre-training code representations with data flow” (2020) with 2,093 citations and “Cluster analysis for gene expression data: a survey” (2004) with 1,769 citations.
