Huiling Le
Impact in
- Geometry and Topology top 1%
- Morphological variations and asymmetry
- Applied Mathematics top 5%
- Statistical and numerical algorithms
Papers in
-
- Morphological variations and asymmetry 35
-
- Geometric Analysis and Curvature Flows 8
- Point processes and geometric inequalities 6
- Statistical and numerical algorithms 3
- Co-authors
- David G. Kendall (1 shared paper)Alfred Kume (7 shared papers)Christopher G. Small (2 shared papers)D. Barden (5 shared papers)Anuj Srivastava (3 shared papers)Wilfrid S. Kendall (2 shared papers)Eric Klassen (2 shared papers)Ian L. Dryden (8 shared papers)
- Journals
- Advances in Applied Probability (15 papers)Journal of the London Mathematical Society (5 papers)Probability Theory and Related Fields (4 papers)Electronic Journal of Statistics (3 papers)Journal of Applied Probability (2 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Huiling Le
47 papers receiving 639 citations
Peers
Comparison fields: 5 of 83
- Geometry and Topology 465
- Applied Mathematics 120
- Computer Vision and Pattern Recognition 206
- Statistics and Probability 68
- Environmental Engineering 65
Countries citing papers authored by Huiling Le
This map shows the geographic impact of Huiling Le's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Huiling Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huiling Le more than expected).
Fields of papers citing papers by Huiling Le
This network shows the impact of papers produced by Huiling Le. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Huiling Le. The network helps show where Huiling Le may publish in the future.
Co-authors
The 21 scholars most cited alongside Huiling Le, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 126 | |
| 2 | 2001 | 89 | |
| 3 | 2001 | 37 | |
| 4 | 1998 | 34 | |
| 5 | 2000 | 33 | |
| 6 | 1999 | 32 | |
| 7 | 2013 | 31 | |
| 8 | 2004 | 30 | |
| 9 | 2011 | 24 | |
| 10 | 2013 | 21 | |
| 11 | 2013 | 20 | |
| 12 | 1991 | 19 | |
| 13 | 2018 | 15 | |
| 14 | 2003 | 15 | |
| 15 | 2020 | 12 | |
| 16 | 1991 | 11 | |
| 17 | 2012 | 10 | |
| 18 | 1998 | 9 | |
| 19 | 1997 | 9 | |
| 20 | 2002 | 9 |
About Huiling Le
Huiling Le is a scholar working on Geometry and Topology, Applied Mathematics, Mathematical Physics, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 49 papers that have together received 675 indexed citations. Recurring topics across this work include Morphological variations and asymmetry (35 papers), Geometric Analysis and Curvature Flows (8 papers), Point processes and geometric inequalities (6 papers), Stochastic processes and financial applications (4 papers), Image Processing and 3D Reconstruction (4 papers), Topological and Geometric Data Analysis (3 papers), 3D Shape Modeling and Analysis (3 papers) and Statistical and numerical algorithms (3 papers). The work is most often cited by research in Geometry and Topology (465 citations), Applied Mathematics (120 citations), Computer Vision and Pattern Recognition (206 citations), Statistics and Probability (68 citations) and Environmental Engineering (65 citations). Huiling Le has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include David G. Kendall, Alfred Kume, Christopher G. Small, D. Barden, Anuj Srivastava, Wilfrid S. Kendall, Eric Klassen, Ian L. Dryden, Megan Owen and Sebastian Kurtek. Their work appears in journals such as Advances in Applied Probability, Journal of the London Mathematical Society, Probability Theory and Related Fields, Electronic Journal of Statistics and Journal of Applied Probability.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.