Lei Chen Google Scholar: h-index, Total Citations, and Citation Map
Lei Chen's h-index is 94 (609 i10-index, 38,460+ total citations across 5+ publications) according to Google Scholar as of October 2026. Lei Chen is affiliated with Hong Kong University of Science and Technology.
Lei Chen is a researcher affiliated with Hong Kong University of Science and Technology, specializing in Human Powered Machine Learning, Databases, Data Mining. Their work has been cited 38,460 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Lei Chen's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 94
- i10-Index
- 609
- Total Citations
- 38,460
- Citing Countries
- 1
As of October 2026.
Lei Chen has an h-index of 94 and 38,460 total citations across 5 publications, with research cited by institutions in 1 country.
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Robust and fast similarity search for moving object trajectories
20051,857
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.
The researcher developed robust and fast similarity search methods for moving object trajectories, establishing a foundational approach in spatial-temporal data analysis.
The researcher established a foundational theoretical framework integrating lp-norms with edit distance, creating a seminal reference point for metric analysis in computational research.
The researcher developed K-automorphism, a general framework for privacy-preserving network publication, establishing a foundational approach to balancing data utility with privacy protection in graph publishing.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Lei Chen's research
Lei Chen is a researcher in Human Powered Machine Learning, Databases and Data Mining at Hong Kong University of Science and Technology. Their work has been cited 38,460 times across 5 publications (h-index 94), according to Google Scholar.
Their most-cited work, “Robust and fast similarity search for moving object trajectories” (2005), has accumulated 1,857 citations. Other influential works include “On the marriage of lp-norms and edit distance” (2004) with 1,260 citations and “K-automorphism: A general framework for privacy preserving network publication.” (2009) with 551 citations.
Citations of Lei Chen's research come primarily from United States; the citation map above shows the full geographic breakdown.
