Mou-Hsiung Chang

422 citations
29 papers · 281 indexed · h-index 10
Topics
Stochastic processes and financial applications (18 papers)Economic theories and models (4 papers)Risk and Portfolio Optimization (3 papers)
Partner nations
United StatesFrance

In The Last Decade

Mou-Hsiung Chang

28 papers receiving 259 citations

Peers

Mou-Hsiung Chang
Comparison fields: 5 of 40
  • Finance 149
  • Control and Systems Engineering 78
  • Economics and Econometrics 63
  • Aerospace Engineering 61
  • Management Science and Operations Research 54
Replace Yuan‐Hua Ni with:
Yuan‐Hua Ni China
Jorge A. Leòn Mexico
Xiaoli Wei China
Giuseppina Guatteri Italy
Yaning Lin China
Abhay G. Bhatt India
Andrew J. Heunis Canada
João Saúde Saudi Arabia
Ariel Neufeld Singapore
José‐Luis Menaldi United States
Mou-Hsiung Chang relative to Yuan‐Hua Ni China Yuan‐Hua Ni's profile →
Citations per field
00.5×2.9×
Yuan‐Hua Ni · 1×
Citations per year

Countries citing papers authored by Mou-Hsiung Chang

Since Specialization
Citations

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

Fields of papers citing papers by Mou-Hsiung Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mou-Hsiung Chang. 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 Mou-Hsiung Chang. The network helps show where Mou-Hsiung Chang may publish in the future.

Co-authorship network of co-authors of Mou-Hsiung Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Mou-Hsiung Chang. A scholar is included among the top collaborators of Mou-Hsiung Chang 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 Mou-Hsiung Chang. Mou-Hsiung Chang 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 2
4 2
5 51
6 15
7 4
8 4
9 11
10 4
11 13
12 1
13 2
14 19
15
Viscosity Solutions of Infinite Dimensional Black-Scholes Equation and Numerical Approximations
1
16 22
17 1
18 7
19 22
20 1

About Mou-Hsiung Chang

Mou-Hsiung Chang is a scholar working on Finance, Mathematical Physics and Modeling and Simulation, having authored 29 papers that have together received 281 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (18 papers), Economic theories and models (4 papers) and Risk and Portfolio Optimization (3 papers). The work is most often cited by research in Finance (149 citations), Management Science and Operations Research (54 citations) and Demography (50 citations). Mou-Hsiung Chang has collaborated with scholars based in United States and France. Frequent co-authors include Tao Pang, Genshe Chen, J.B. Cruz, Chiman Kwan, Dongxu Li, Jiongmin Yong, Erik Blasch, Leonard S. Haynes and Nicolas Monmarché. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Mathematics and Computation and SIAM Journal on Control and Optimization.

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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