Li‐Hsien Sun

568 citations
19 papers · 259 indexed · h-index 8
Topics
Stochastic processes and financial applications (7 papers)Complex Systems and Time Series Analysis (7 papers)Financial Risk and Volatility Modeling (6 papers)
Partner nations
TaiwanUnited StatesJapan

In The Last Decade

Li‐Hsien Sun

17 papers receiving 248 citations

Peers

Li‐Hsien Sun
Comparison fields: 5 of 45
  • Finance 174
  • Economics and Econometrics 91
  • Statistics and Probability 51
  • Management Science and Operations Research 43
  • Modeling and Simulation 33
Replace Igor Cialenco with:
Igor Cialenco United States
Thomas Kruse Germany
Adrien Richou France
Jean-François Chassagneux France
Tommi Sottinen Finland
Qingshuo Song United States
Ariel Neufeld Singapore
Jaya P. N. Bishwal United States
Areski Cousin France
Marina Kleptsyna France
Li‐Hsien Sun relative to Igor Cialenco United States Igor Cialenco's profile →
Citations per field
00.5×1.5×2.5×
Igor Cialenco · 1×
Citations per year

Countries citing papers authored by Li‐Hsien Sun

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Hsien Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Li‐Hsien Sun. 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 Li‐Hsien Sun. The network helps show where Li‐Hsien Sun may publish in the future.

Co-authorship network of co-authors of Li‐Hsien Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Hsien Sun. A scholar is included among the top collaborators of Li‐Hsien Sun 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 Li‐Hsien Sun. Li‐Hsien Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
#WorkIndexed citations
1 0
2 2
3 0
4 5
5 6
6 4
7 3
8 1
9 11
10 7
11 2
12 2
13 6
14 26
15 10
16 10
17 121
18 19
19 24

About Li‐Hsien Sun

Li‐Hsien Sun is a scholar working on Finance, Statistics and Probability and General Decision Sciences, having authored 19 papers that have together received 259 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (7 papers), Complex Systems and Time Series Analysis (7 papers) and Financial Risk and Volatility Modeling (6 papers). The work is most often cited by research in Finance (174 citations), Modeling and Simulation (33 citations) and Statistics and Probability (51 citations). Li‐Hsien Sun has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Jean‐Pierre Fouque, René Carmona, Takeshi Emura, Jong‐Min Kim, Wei‐Chen Lee, Yi‐Ju Tseng, Li Zhu, Chunrong Ai, Zheng Zhang and Shuenn‐Jyi Sheu. Their work appears in journals such as PLoS ONE, Journal of Econometrics and Journal of Optimization Theory and Applications.

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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