Ying Sheng Google Scholar: h-index, Total Citations, and Citation Map
Ying Sheng's h-index is 26 (33 i10-index, 32,774+ total citations across 66+ publications) according to Google Scholar as of October 2026. Ying Sheng is affiliated with RadixArk.
Ying Sheng is a researcher affiliated with RadixArk, specializing in Large Language Models, Machine Learning Systems, Formal Verification. Their work has been cited 32,774 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Ying Sheng's Citation Metrics
Bibliometric impact based on 66 indexed publications.
- H-Index
- 26
- i10-Index
- 33
- Total Citations
- 32,774
- Citing Countries
- 80
As of October 2026.
Ying Sheng has an h-index of 26 and 32,774 total citations across 66 publications, with research cited by institutions in 80 countries.
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Judging llm-as-a-judge with mt-bench and chatbot arena
202311,395
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Ying Sheng's research
Ying Sheng is a researcher in Large Language Models, Machine Learning Systems and Formal Verification at RadixArk. Their work has been cited 32,774 times across 66 publications (h-index 26), according to Google Scholar.
Their most-cited work, “Judging llm-as-a-judge with mt-bench and chatbot arena” (2023), has accumulated 11,395 citations. Other influential works include “Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality” (2023) with 4,663 citations and “Chatbot arena: An open platform for evaluating llms by human preference” (2024) with 1,713 citations.
Citations of Ying Sheng'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.
