Xuezhi Wang: h-index, Total Citations, and Citation Map
Xuezhi Wang's h-index is 47 (61 i10-index, 98,069+ total citations across 72+ publications) according to Google Scholar as of July 2026. Xuezhi Wang is affiliated with Research Scientist, Google DeepMind.
Xuezhi Wang is a researcher affiliated with Research Scientist, Google DeepMind, specializing in Machine Learning, Natural Language Processing. Their work has been cited 98,069 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Xuezhi Wang's Citation Metrics
Bibliometric impact based on 72 indexed publications.
- H-Index
- 47
- i10-Index
- 61
- Total Citations
- 98,069
- Citing Countries
- 69
As of July 2026.
Xuezhi Wang has an h-index of 47 and 98,069 total citations across 72 publications, with research cited by institutions in 69 countries.
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Global Impact Map
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Chain of thought prompting elicits reasoning in large language models
202233,756
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
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Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
459 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered chain-of-thought prompting to enhance reasoning in large language models, establishing a foundational framework for complex logical inference in AI systems.
The researcher pioneered rationale-augmented ensemble methods for language models, establishing a foundational framework for self-improvement and recitation-augmented reasoning that has significantly influenced the field.
The researcher pioneered chain-of-thought prompting, a method that elicits complex reasoning capabilities in large language models, fundamentally advancing how these systems process logical tasks.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Xuezhi Wang's research
Xuezhi Wang is a researcher in Machine Learning and Natural Language Processing at Research Scientist, Google DeepMind. Their work has been cited 98,069 times across 72 publications (h-index 47), according to Google Scholar.
Their most-cited work, “Chain of thought prompting elicits reasoning in large language models” (2022), has accumulated 33,756 citations. Other influential works include “Palm: Scaling language modeling with pathways” (2023) with 9,905 citations and “Self-consistency improves chain of thought reasoning in language models” (2023) with 9,570 citations.
Citations of Xuezhi Wang'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.
