Edward W. Sun

925 total citations
44 papers, 628 citations indexed

About

Edward W. Sun is a scholar working on Finance, Economics and Econometrics and Management Science and Operations Research. According to data from OpenAlex, Edward W. Sun has authored 44 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Finance, 18 papers in Economics and Econometrics and 11 papers in Management Science and Operations Research. Recurrent topics in Edward W. Sun's work include Financial Risk and Volatility Modeling (13 papers), Complex Systems and Time Series Analysis (12 papers) and Stock Market Forecasting Methods (9 papers). Edward W. Sun is often cited by papers focused on Financial Risk and Volatility Modeling (13 papers), Complex Systems and Time Series Analysis (12 papers) and Stock Market Forecasting Methods (9 papers). Edward W. Sun collaborates with scholars based in France, Taiwan and Germany. Edward W. Sun's 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 and has published in prestigious journals such as Cancer Research, European Journal of Operational Research and International Journal of Production Economics.

In The Last Decade

Edward W. Sun

38 papers receiving 597 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Edward W. Sun France 13 310 267 132 83 54 44 628
Rongda Chen China 17 515 1.7× 279 1.0× 189 1.4× 79 1.0× 51 0.9× 68 1.0k
Ahmed Ghorbel Tunisia 14 451 1.5× 182 0.7× 59 0.4× 81 1.0× 98 1.8× 56 757
Edward M.H. Lin Taiwan 14 242 0.8× 262 1.0× 190 1.4× 117 1.4× 77 1.4× 35 1.2k
Indranil Ghosh India 18 431 1.4× 113 0.4× 316 2.4× 86 1.0× 37 0.7× 63 842
Jussi Keppo Singapore 14 325 1.0× 495 1.9× 88 0.7× 47 0.6× 43 0.8× 69 811
Andreas Karathanasopoulos United Arab Emirates 16 340 1.1× 232 0.9× 382 2.9× 33 0.4× 63 1.2× 49 752
Sepideh Kaffash United States 8 166 0.5× 62 0.2× 195 1.5× 50 0.6× 63 1.2× 11 527
Charalampos Stasinakis United Kingdom 13 251 0.8× 134 0.5× 320 2.4× 68 0.8× 53 1.0× 34 591
Chenglu Jin China 18 413 1.3× 130 0.5× 46 0.3× 51 0.6× 36 0.7× 61 907
Alexei A. Gaivoronski Norway 14 170 0.5× 292 1.1× 535 4.1× 94 1.1× 25 0.5× 59 895

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
2.
Xu, Yuan, et al.. (2024). Towards multi-view sputum smear quality classification. Biomedical Signal Processing and Control. 102. 107217–107217.
4.
Chen, Yi‐Ting, Edward W. Sun, & Yi‐Bing Lin. (2024). Reconciling spatiotemporal conjunction with digital twin for sequential travel time prediction and intelligent routing. Annals of Operations Research. 348(1). 671–716. 2 indexed citations
5.
Chen, Yi‐Ting, et al.. (2023). Reconciling business analytics with graphically initialized subspace clustering for optimal nonlinear pricing. European Journal of Operational Research. 312(3). 1086–1107. 1 indexed citations
6.
Chen, Chang-Chih, Edward W. Sun, Chia‐Chien Chang, & Min‐Teh Yu. (2023). Optimal Decision of Dynamic Wealth Allocation with Life Insurance for Mitigating Health Risk under Market Incompleteness. SSRN Electronic Journal.
7.
Chen, Yi‐Ting, Edward W. Sun, Ming-Feng Chang, & Yi‐Bing Lin. (2023). Enhancing travel time prediction with deep learning on chronological and retrospective time order information of big traffic data. Annals of Operations Research. 343(3). 1095–1128. 10 indexed citations
8.
Chen, Yi‐Ting, et al.. (2022). Risk factor extraction with quantile regression method. Annals of Operations Research. 316(2). 1543–1572. 3 indexed citations
9.
Chen, Yi‐Ting, Edward W. Sun, M. H. Chang, & Yi‐Bing Lin. (2021). Pragmatic real-time logistics management with traffic IoT infrastructure: Big data predictive analytics of freight travel time for Logistics 4.0. International Journal of Production Economics. 238. 108157–108157. 76 indexed citations
10.
Sakalauskas, Leonidas, et al.. (2021). Mixed-Stable Models: An Application to High-Frequency Financial Data. Entropy. 23(6). 739–739. 1 indexed citations
11.
Lin, Edward M.H., Edward W. Sun, & Min‐Teh Yu. (2020). Behavioral data-driven analysis with Bayesian method for risk management of financial services. International Journal of Production Economics. 228. 107737–107737. 18 indexed citations
12.
Chen, Yi‐Ting, Edward W. Sun, & Yi‐Bing Lin. (2019). Machine learning with parallel neural networks for analyzing and forecasting electricity demand. Computational Economics. 56(2). 569–597. 7 indexed citations
13.
Chen, Yi‐Ting, Edward W. Sun, & Min‐Teh Yu. (2015). Improving Model Performance with the Wavelet Decomposition for High-Frequency Financial Data. SSRN Electronic Journal. 2 indexed citations
14.
Chen, Yi‐Ting, Edward W. Sun, & Min‐Teh Yu. (2015). Improving model performance with the integrated wavelet denoising method. Studies in Nonlinear Dynamics and Econometrics. 19(4). 445–467. 9 indexed citations
15.
Sun, Edward W., Yi‐Ting Chen, & Min‐Teh Yu. (2015). Generalized Optimal Wavelet Decomposing Algorithm for Big Financial Data. SSRN Electronic Journal. 1 indexed citations
16.
Sun, Edward W., Yi‐Ting Chen, & Min‐Teh Yu. (2015). Generalized optimal wavelet decomposing algorithm for big financial data. International Journal of Production Economics. 165. 194–214. 50 indexed citations
17.
Meinl, Thomas & Edward W. Sun. (2012). A Nonlinear Filtering Algorithm based on Wavelet Transforms for High-Frequency Financial Data Analysis. Studies in Nonlinear Dynamics and Econometrics. 16(3). 11 indexed citations
18.
Sun, Edward W., et al.. (2012). Economic Modeling for Optimal Trading of Financial Asset in Volatile Market. Economics bulletin. 33(3). 1788–1795. 1 indexed citations
19.
Sun, Edward W., et al.. (2011). Identification of Driving Factors for Emerging Markets Sovereign Spreads. Economics bulletin. 31(3). 2584–2592. 5 indexed citations
20.
Sun, Edward W., Svetlozar T. Rachev, Frank J. Fabozzi, & Petko S. Kalev. (2007). Fractals in trade duration: capturing long-range dependence and heavy tailedness in modeling trade duration. Annals of Finance. 4(2). 217–241. 23 indexed citations

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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