Jushan Bai: h-index, Total Citations, and Citation Map
Jushan Bai's h-index is 20 (20 i10-index, 51,675+ total citations across 20+ publications) according to Google Scholar as of September 2026. Jushan Bai is affiliated with Columbia University.
Jushan Bai is a researcher affiliated with Columbia University, specializing in various fields. Their work has been cited 51,675 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Jushan Bai's Citation Metrics
Bibliometric impact based on 20 indexed publications.
- H-Index
- 20
- i10-Index
- 20
- Total Citations
- 51,675
- Citing Countries
- 60
As of September 2026.
Jushan Bai has an h-index of 20 and 51,675 total citations across 20 publications, with research cited by institutions in 60 countries.
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Global Impact Map
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Estimating and Testing Linear Models with Multiple Structural Changes
19985,907
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.
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.
86 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed foundational methods for estimating common stochastic trends in nonstationary panels, enabling robust factor-augmented forecasting and inference widely adopted by independent scholars.
The researcher established the inferential theory for large-dimensional factor models, providing a foundational statistical framework that has been widely adopted and extended by the independent academic community.
The researcher developed foundational methods for detecting and dating common structural breaks in multivariate time series and panel data, establishing a widely adopted framework for analyzing non-stationarity.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Jushan Bai's research
Jushan Bai is a researcher at Columbia University. Their work has been cited 51,675 times across 20 publications (h-index 20), according to Google Scholar.
Their most-cited work, “Estimating and Testing Linear Models with Multiple Structural Changes” (1998), has accumulated 5,907 citations. Other influential works include “A PANIC Attack on Unit Roots and Cointegration” (2004) with 1,852 citations and “Inferential Theory for Factor Models of Large Dimensions” (2003) with 1,721 citations.
Citations of Jushan Bai's research come primarily from China, United States 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.
