Tzuu-Shuh Chiang

430 citations
19 papers · 258 indexed · h-index 6
Topics
Stochastic processes and statistical mechanics (11 papers)Mathematical Dynamics and Fractals (8 papers)Markov Chains and Monte Carlo Methods (7 papers)
Partner nations
TaiwanUnited States

In The Last Decade

Tzuu-Shuh Chiang

16 papers receiving 216 citations

Peers

Tzuu-Shuh Chiang
Comparison fields: 5 of 56
  • Artificial Intelligence 88
  • Statistics and Probability 67
  • Mathematical Physics 63
  • Computational Theory and Mathematics 61
  • Finance 47
Replace Zhongxing Ye with:
Zhongxing Ye China
Philippe Chassaing France
Ronen Eldan Israel
Catherine Doléans-Dade
P. H. Diananda Singapore
Harald Oberhauser United Kingdom
J. Inglis United Kingdom
Irina Shevtsova Russia
Ravi Montenegro United States
Pierre-André Zitt France
Tzuu-Shuh Chiang relative to Zhongxing Ye China Zhongxing Ye's profile →
Citations per field
00.5×1.7×
Zhongxing Ye · 1×
Citations per year

Countries citing papers authored by Tzuu-Shuh Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Tzuu-Shuh Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tzuu-Shuh Chiang. 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 Tzuu-Shuh Chiang. The network helps show where Tzuu-Shuh Chiang may publish in the future.

Co-authorship network of co-authors of Tzuu-Shuh Chiang

This figure shows the co-authorship network connecting the top 25 collaborators of Tzuu-Shuh Chiang. A scholar is included among the top collaborators of Tzuu-Shuh Chiang 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 Tzuu-Shuh Chiang. Tzuu-Shuh Chiang 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 2
2 9
3 2
4 1
5 4
6 2
7 4
8 31
9 0
10 12
11 43
12 10
13 3
14 124
15
Evaluation of Certain Functional Integrals
4
16 2
17 2
18 1
19 2

About Tzuu-Shuh Chiang

Tzuu-Shuh Chiang is a scholar working on Mathematical Physics, Statistics and Probability and Finance, having authored 19 papers that have together received 258 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (11 papers), Mathematical Dynamics and Fractals (8 papers) and Markov Chains and Monte Carlo Methods (7 papers). The work is most often cited by research in Statistics and Probability (67 citations), Mathematical Physics (63 citations) and Finance (47 citations). Tzuu-Shuh Chiang has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Chii-Ruey Hwang, Y. K. Chow and Shuenn‐Jyi Sheu. Their work appears in journals such as Journal of Differential Equations, SIAM Journal on Control and Optimization and Proceedings of the American Mathematical Society.

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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