Edward W. Sun

925 citations
44 papers · 628 indexed · h-index 13
Topics
Financial Risk and Volatility Modeling (13 papers)Complex Systems and Time Series Analysis (12 papers)Stock Market Forecasting Methods (9 papers)
Partner nations
FranceTaiwanGermany

In The Last Decade

Edward W. Sun

38 papers receiving 597 citations

Peers

Edward W. Sun
Comparison fields: 5 of 83
  • Economics and Econometrics 310
  • Finance 267
  • Management Science and Operations Research 132
  • Management Information Systems 83
  • General Economics, Econometrics and Finance 54
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Citations per year

Countries citing papers authored by Edward W. Sun

Since Specialization
Citations

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

Fields of papers citing papers by Edward W. Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward W. 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 Edward W. Sun. The network helps show where Edward W. Sun may publish in the future.

Co-authorship network of co-authors of Edward W. Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Edward W. Sun. A scholar is included among the top collaborators of Edward W. 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 Edward W. Sun. Edward W. Sun 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 0
3 0
4 2
5 1
6 0
7 10
8 3
9 76
10 1
11 18
12 7
13
Improving Model Performance with the Wavelet Decomposition for High-Frequency Financial Data
2
14 9
15
Generalized Optimal Wavelet Decomposing Algorithm for Big Financial Data
1
16 50
17 11
18
Economic Modeling for Optimal Trading of Financial Asset in Volatile Market
1
19
Identification of Driving Factors for Emerging Markets Sovereign Spreads
5
20 23

About Edward W. Sun

Edward W. Sun is a scholar working on Finance, Management Science and Operations Research and Economics and Econometrics, having authored 44 papers that have together received 628 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (13 papers), Complex Systems and Time Series Analysis (12 papers) and Stock Market Forecasting Methods (9 papers). The work is most often cited by research in Finance (267 citations), Economics and Econometrics (310 citations) and Management Science and Operations Research (132 citations). Edward W. Sun has collaborated with scholars based in France, Taiwan and Germany. Frequent co-authors include Yi‐Ting Chen, Min‐Teh Yu, Thomas Meinl, Frank J. Fabozzi, Svetlozar T. Rachev, Yi‐Bing Lin, Edward M.H. Lin, M. H. Chang, Petko S. Kalev and Stoyan V. Stoyanov. Their work appears in journals such as Cancer Research, European Journal of Operational Research and International Journal of Production Economics.

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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