Kai-Wei Chang Google Scholar: h-index, Total Citations, and Citation Map
Kai-Wei Chang's h-index is 91 (287 i10-index, 63,498+ total citations across 485+ publications) according to Google Scholar as of October 2026. Kai-Wei Chang is affiliated with UCLA.
Kai-Wei Chang is a researcher affiliated with UCLA, specializing in Natural Language Processing, Machine Learning, Vision-Language. Their work has been cited 63,498 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Kai-Wei Chang's Citation Metrics
Bibliometric impact based on 485 indexed publications.
- H-Index
- 91
- i10-Index
- 287
- Total Citations
- 63,498
- Citing Countries
- 20
As of October 2026.
Kai-Wei Chang has an h-index of 91 and 63,498 total citations across 485 publications, with research cited by institutions in 20 countries.
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LIBLINEAR: A library for large linear classification
200810,275
Top Citing Countries
Top Citing Institutions
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Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Kai-Wei Chang's research
Kai-Wei Chang is a researcher in Natural Language Processing, Machine Learning and Vision-Language at UCLA. Their work has been cited 63,498 times across 485 publications (h-index 91), according to Google Scholar.
Their most-cited work, “LIBLINEAR: A library for large linear classification” (2008), has accumulated 10,275 citations. Other influential works include “Man is to computer programmer as woman is to homemaker? debiasing word embeddings” (2016) with 5,823 citations and “Visualbert: A simple and performant baseline for vision and language” (2019) with 2,960 citations.
Citations of Kai-Wei Chang's research come primarily from United States, China and Singapore, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
