Tai‐Ho Wang

707 total citations
33 papers, 444 citations indexed

About

Tai‐Ho Wang is a scholar working on Finance, Economics and Econometrics and Applied Mathematics. According to data from OpenAlex, Tai‐Ho Wang has authored 33 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Finance, 8 papers in Economics and Econometrics and 6 papers in Applied Mathematics. Recurrent topics in Tai‐Ho Wang's work include Stochastic processes and financial applications (21 papers), Financial Risk and Volatility Modeling (8 papers) and Advanced Statistical Methods and Models (6 papers). Tai‐Ho Wang is often cited by papers focused on Stochastic processes and financial applications (21 papers), Financial Risk and Volatility Modeling (8 papers) and Advanced Statistical Methods and Models (6 papers). Tai‐Ho Wang collaborates with scholars based in United States, Taiwan and Italy. Tai‐Ho Wang's co-authors include Peter Laurence, David Hobson, Jim Gatheral, Elton P. Hsu, Cheng Ouyang, Ming‐Dou Ker, Mei-Ling Kuo, Elisa Alòs, Maria Elvira Mancino and Ming-Dou Ker and has published in prestigious journals such as IEEE Journal of Solid-State Circuits, Journal of the Operational Research Society and Japanese Journal of Applied Physics.

In The Last Decade

Tai‐Ho Wang

31 papers receiving 411 citations

Peers

Tai‐Ho Wang
Comparison fields: 5 of 39
  • Finance 340
  • Economics and Econometrics 113
  • Management Science and Operations Research 99
  • Demography 56
  • Statistics and Probability 42
Replace Michèle Vanmaele with:
Michèle Vanmaele Belgium
Idris Kharroubi France
Miklós Rásonyi Hungary
Karsten Prause Germany
Tina Hviid Rydberg United Kingdom
Nikolai Dokuchaev Australia
Rolf Poulsen Denmark
Huyên Pham France
Hiroshi Shirakawa Japan
Emmanuelle Clément France
Michèle Vanmaele Belgium View profile →
Citations per field, relative to Tai‐Ho Wang
Tai‐Ho Wang · 1×
Citations per year, relative to Tai‐Ho Wang
Tai‐Ho Wang · 1×

Countries citing papers authored by Tai‐Ho Wang

Since Specialization
Citations

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

Fields of papers citing papers by Tai‐Ho Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tai‐Ho Wang. 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 Tai‐Ho Wang. The network helps show where Tai‐Ho Wang may publish in the future.

Co-authorship network of co-authors of Tai‐Ho Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Tai‐Ho Wang. A scholar is included among the top collaborators of Tai‐Ho Wang 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 Tai‐Ho Wang. Tai‐Ho Wang 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 1
2 3
3 2
4 1
5 4
6 2
7 100
8 26
9 21
10 6
11 7
12 4
13 11
14 9
15 37
16 7
17 7
18 0
19 21
20 2

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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