Ming-Wei Chang Google Scholar: h-index, Total Citations, and Citation Map
Ming-Wei Chang's h-index is 67 (101 i10-index, 239,110+ total citations across 100+ publications) according to Google Scholar as of November 2026. Ming-Wei Chang is affiliated with Google Deepmind.
Ming-Wei Chang is a researcher affiliated with Google Deepmind, specializing in AI & Machine Learning. Their work has been cited 239,110 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Ming-Wei Chang's Citation Metrics
Bibliometric impact based on 100 indexed publications.
- H-Index
- 67
- i10-Index
- 101
- Total Citations
- 239,110
- Citing Countries
- 61
As of November 2026.
Ming-Wei Chang has an h-index of 67 and 239,110 total citations across 100 publications, with research cited by institutions in 61 countries.
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.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
2018189,796
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 Ming-Wei Chang's research
Ming-Wei Chang is a researcher in AI & Machine Learning at Google Deepmind. Their work has been cited 239,110 times across 100 publications (h-index 67), according to Google Scholar.
Their most-cited work, “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding” (2018), has accumulated 189,796 citations. Other influential work includes “Gemini: a family of highly capable multimodal models” (2023) with 11,077 citations.
Citations of Ming-Wei Chang'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.
