Khoa Lê

488 total citations
21 papers, 208 citations indexed

About

Khoa Lê is a scholar working on Finance, Mathematical Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Khoa Lê has authored 21 papers receiving a total of 208 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Finance, 10 papers in Mathematical Physics and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Khoa Lê's work include Stochastic processes and financial applications (11 papers), Stochastic processes and statistical mechanics (8 papers) and Image and Signal Denoising Methods (3 papers). Khoa Lê is often cited by papers focused on Stochastic processes and financial applications (11 papers), Stochastic processes and statistical mechanics (8 papers) and Image and Signal Denoising Methods (3 papers). Khoa Lê collaborates with scholars based in United Kingdom, United States and Australia. Khoa Lê's co-authors include Yaozhong Hu, Jingyu Huang, David Nualart, David Nualart, Samy Tindel, Christopher H. Hendon, K.P. Dabke, Kentaro Kadota, Carl K. Brozek and Satoshi Horike and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemistry of Materials and The Journal of Physical Chemistry C.

In The Last Decade

Khoa Lê

20 papers receiving 198 citations

Peers

Khoa Lê
Comparison fields: 5 of 59
  • Finance 96
  • Mathematical Physics 75
  • Computational Theory and Mathematics 35
  • Inorganic Chemistry 27
  • Applied Mathematics 23
Replace Michael Hinz with:
Michael Hinz Germany
Zhengwei Liu United States
Nick Firoozye United Kingdom
A. Saoudi France
P S Aleksandrov Russia
Gabriel Deugoué Cameroon
David M. Pooley United Kingdom
Allan P. Donsig United States
Kanta Naito Japan
Matthias Schulte Germany
Michael Hinz Germany View profile →
Citations per field, relative to Khoa Lê
Khoa Lê · 1×
Citations per year, relative to Khoa Lê
Khoa Lê · 1×

Countries citing papers authored by Khoa Lê

Since Specialization
Citations

This map shows the geographic impact of Khoa Lê'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 Khoa Lê with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Khoa Lê more than expected).

Fields of papers citing papers by Khoa Lê

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Khoa Lê. 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 Khoa Lê. The network helps show where Khoa Lê may publish in the future.

Co-authorship network of co-authors of Khoa Lê

This figure shows the co-authorship network connecting the top 25 collaborators of Khoa Lê. A scholar is included among the top collaborators of Khoa Lê based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Khoa Lê. Khoa Lê is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 8
4 5
5 7
6 4
7 11
8 6
9 27
10 8
11 1
12 8
13 14
14 34
15 12
16 5
17 14
18 13
19 10
20 18

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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