Lei Xu: h-index, Total Citations, and Citation Map
Lei Xu's h-index is 70 (373 i10-index, 27,835+ total citations across 773+ publications) according to Google Scholar as of August 2026. Lei Xu is affiliated with Zhiyuan Chair Professor, Dept. of Computer Sci. & Eng. Shanghai Jiao Tong Univ..
Lei Xu is a researcher affiliated with Zhiyuan Chair Professor, Dept. of Computer Sci. & Eng. Shanghai Jiao Tong Univ., specializing in AI, Machine Learning, Neural Networks. Their work has been cited 27,835 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Lei Xu's Citation Metrics
Bibliometric impact based on 773 indexed publications.
- H-Index
- 70
- i10-Index
- 373
- Total Citations
- 27,835
- Citing Countries
- 77
As of August 2026.
Lei Xu has an h-index of 70 and 27,835 total citations across 773 publications, with research cited by institutions in 77 countries.
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Global Impact Map
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Methods of combining multiple classifiers and their applications to handwriting recognition
19923,369
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.
2 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher established foundational convergence theory for EM algorithms in mixture of experts and Gaussian mixtures, significantly advancing the theoretical understanding of these architectures.
The researcher pioneered the randomized Hough transform, establishing a foundational probabilistic approach to curve detection that significantly advanced computational geometry and image analysis methodologies.
The researcher developed Rival Penalized Competitive Learning, a foundational framework for clustering and RBF networks that established statistical consistency and convergence properties in kernel regression.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Lei Xu's research
Lei Xu is a researcher in AI, Machine Learning and Neural Networks at Zhiyuan Chair Professor, Dept. of Computer Sci. & Eng. Shanghai Jiao Tong Univ.. Their work has been cited 27,835 times across 773 publications (h-index 70), according to Google Scholar.
Their most-cited work, “Methods of combining multiple classifiers and their applications to handwriting recognition” (1992), has accumulated 3,369 citations. Other influential works include “A new curve detection method: randomized Hough transform (RHT)” (1990) with 1,767 citations and “On convergence properties of the EM algorithm for Gaussian mixtures” (1996) with 1,185 citations.
Citations of Lei Xu'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.
