Yi-Kei Tse

998 citations
35 papers · 666 indexed · h-index 11
Topics
Market Dynamics and Volatility (5 papers)Financial Risk and Volatility Modeling (5 papers)Diabetes Treatment and Management (5 papers)
Partner nations
SingaporeHong KongChina

In The Last Decade

Yi-Kei Tse

30 papers receiving 605 citations

Peers

Yi-Kei Tse
Comparison fields: 5 of 92
  • Economics and Econometrics 401
  • Finance 380
  • General Economics, Econometrics and Finance 175
  • Orthopedics and Sports Medicine 50
  • Endocrinology, Diabetes and Metabolism 49
Replace Thorsten Schmidt with:
Thorsten Schmidt Germany
Andrea Bucci Italy
Michael J. Hartley United States
Paul Boothe Canada
Laura A. Tuttle United States
Junghoon Lee South Korea
Dan Zhu China
Conall O’Sullivan Ireland
Juan Carlos Pardo–Fernández Spain
Lixian Su China
Yi-Kei Tse relative to Thorsten Schmidt Germany Thorsten Schmidt's profile →
Citations per field
00.5×10×15×19.4×
Thorsten Schmidt · 1×
Citations per year

Countries citing papers authored by Yi-Kei Tse

Since Specialization
Citations

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

Fields of papers citing papers by Yi-Kei Tse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi-Kei Tse. 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 Yi-Kei Tse. The network helps show where Yi-Kei Tse may publish in the future.

Co-authorship network of co-authors of Yi-Kei Tse

This figure shows the co-authorship network connecting the top 25 collaborators of Yi-Kei Tse. A scholar is included among the top collaborators of Yi-Kei Tse 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 Yi-Kei Tse. Yi-Kei Tse 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
#WorkIndexed citations
1 0
2 5
3 1
4 0
5 13
6 9
7 2
8 3
9 4
10 26
11 11
12 23
13 2
14 76
15 4
16 1
17 0
18 3
19 2
20 1

About Yi-Kei Tse

Yi-Kei Tse is a scholar working on Finance, Statistics and Probability and Statistics, Probability and Uncertainty, having authored 35 papers that have together received 666 indexed citations. Recurring topics across this work include Market Dynamics and Volatility (5 papers), Financial Risk and Volatility Modeling (5 papers) and Diabetes Treatment and Management (5 papers). The work is most often cited by research in Finance (380 citations), General Economics, Econometrics and Finance (175 citations) and Economics and Econometrics (401 citations). Yi-Kei Tse has collaborated with scholars based in Singapore, Hong Kong and China. Frequent co-authors include Albert K. Tsui, Hung‐Fat Tse, Q W Ren, Mei‐Zhen Wu, Kai‐Hang Yiu, Andraay Leung, K. S. Leung, P. C. Leung, Wing‐Hoi Cheung and Carolyn S.P. Lam. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and The Journal of Clinical Endocrinology & Metabolism.

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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