Huiling Le

1.1k citations
44 papers · 557 · h-index 13

Impact in

Papers in

    • Morphological variations and asymmetry 31
    • Geometric Analysis and Curvature Flows 8
    • Point processes and geometric inequalities 5
    • Statistical and numerical algorithms 3
    • Nonlinear Partial Differential Equations 2

Huiling Le

40 papers receiving 527 citations

Peers

Huiling Le
Comparison fields: 5 of 82
  • Geometry and Topology 375
  • Applied Mathematics 108
  • Computer Vision and Pattern Recognition 160
  • Statistics and Probability 53
  • Environmental Engineering 58
Replace D. Barden with:
D. Barden United Kingdom
Alfred Kume United Kingdom
Vic Patrangenaru United States
Daniel Asimov United States
Yasuko Chikuse Japan
J. D. P. Meldrum United Kingdom
Mohd Salmi Md Noorani Malaysia
Lénaïc Chizat France
Meir Katchalski Israel
Helge Tverberg Norway
Huiling Le relative to D. Barden United Kingdom D. Barden's profile →
Citations per field
00.5×4.2×
D. Barden · 1×
Citations per year

Countries citing papers authored by Huiling Le

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 19 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.

Border = papers with Huiling Le Line = papers co-authored together Huiling Le links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199395
2 200176
3 199833
4 200032
5 200130
6 201328
7 199927
8 200421
9 199118
10 201117
11 201316
12 201314
13 200314
14 202011
15 199111
16 201811
17 201210
18 19979
19 19989
20 20008

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 44 papers that have together received 557 indexed citations. Recurring topics across this work include Morphological variations and asymmetry (31 papers), Geometric Analysis and Curvature Flows (8 papers), Point processes and geometric inequalities (5 papers), Image Processing and 3D Reconstruction (4 papers), Stochastic processes and financial applications (4 papers), Statistical and numerical algorithms (3 papers), Topological and Geometric Data Analysis (3 papers) and Nonlinear Partial Differential Equations (2 papers). The work is most often cited by research in Geometry and Topology (375 citations), Applied Mathematics (108 citations), Computer Vision and Pattern Recognition (160 citations), Statistics and Probability (53 citations) and Environmental Engineering (58 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, Eric Klassen, Wilfrid S. Kendall, Megan Owen, Ian L. Dryden 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, Pattern Recognition 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.

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