Edward Hu Google Scholar: h-index, Total Citations, and Citation Map
Edward Hu's h-index is 13 (16 i10-index, 44,071+ total citations across 17+ publications) according to Google Scholar as of October 2026. Edward Hu is affiliated with OpenAI.
Edward Hu is a researcher affiliated with OpenAI, specializing in various fields. Their work has been cited 44,071 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Edward Hu's Citation Metrics
Bibliometric impact based on 17 indexed publications.
- H-Index
- 13
- i10-Index
- 16
- Total Citations
- 44,071
- Citing Countries
- 52
As of October 2026.
Edward Hu has an h-index of 13 and 44,071 total citations across 17 publications, with research cited by institutions in 52 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Edward Hu's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
LoRA: Low-Rank Adaptation of Large Language Models
202241,007
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
Related Guides
Learn how to use citation maps for your research and visa applications.
About Edward Hu's research
Edward Hu is a researcher at OpenAI. Their work has been cited 44,071 times across 17 publications (h-index 13), according to Google Scholar.
Their most-cited work, “LoRA: Low-Rank Adaptation of Large Language Models” (2022), has accumulated 41,007 citations. Other influential works include “Tensor Programs IV: Feature Learning in Infinite-width Neural Networks” (2021) with 638 citations and “Tuning Large Neural Networks via Zero-shot Hyperparameter Transfer” (2021) with 607 citations.
Citations of Edward Hu'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.
