Chun‐Hung Chen

5.7k total citations · 1 hit paper
211 papers, 4.1k citations indexed

About

Chun‐Hung Chen is a scholar working on Management Science and Operations Research, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Chun‐Hung Chen has authored 211 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 135 papers in Management Science and Operations Research, 55 papers in Computer Networks and Communications and 51 papers in Computational Theory and Mathematics. Recurrent topics in Chun‐Hung Chen's work include Simulation Techniques and Applications (124 papers), Advanced Multi-Objective Optimization Algorithms (44 papers) and Manufacturing Process and Optimization (30 papers). Chun‐Hung Chen is often cited by papers focused on Simulation Techniques and Applications (124 papers), Advanced Multi-Objective Optimization Algorithms (44 papers) and Manufacturing Process and Optimization (30 papers). Chun‐Hung Chen collaborates with scholars based in United States, Taiwan and Singapore. Chun‐Hung Chen's co-authors include Loo Hay Lee, Enver Yücesan, Stephen E. Chick, Jianwu Lin, Jie Xu, Michael C. Fu, Donghai He, Hsiao-Chang Chen, Edward Huang and Liyi Dai and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Automatica.

In The Last Decade

Chun‐Hung Chen

203 papers receiving 4.0k citations

Hit Papers

Simulation Budget Allocat... 2000 2026 2008 2017 2000 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chun‐Hung Chen 2.3k 1.2k 1.1k 646 579 211 4.1k
Michael C. Fu 3.0k 1.3× 1.4k 1.2× 1.1k 1.0× 729 1.1× 1.1k 1.9× 263 6.5k
Barry L. Nelson 4.3k 1.9× 1.0k 0.9× 1.6k 1.5× 809 1.3× 686 1.2× 275 6.3k
Lee W. Schruben 2.5k 1.1× 784 0.7× 714 0.7× 575 0.9× 298 0.5× 147 4.0k
Michael O. Ball 521 0.2× 1.5k 1.3× 621 0.6× 842 1.3× 464 0.8× 139 5.5k
Chelsea C. White 815 0.4× 685 0.6× 331 0.3× 452 0.7× 816 1.4× 135 4.0k
Walter J. Gutjahr 958 0.4× 1.4k 1.2× 688 0.6× 327 0.5× 1.0k 1.7× 86 4.0k
L. Jeff Hong 1.5k 0.7× 263 0.2× 543 0.5× 243 0.4× 297 0.5× 103 2.3k
Andrzej Ruszczyński 4.7k 2.0× 728 0.6× 1.1k 1.0× 393 0.6× 672 1.2× 120 7.9k
Sigrún Andradóttir 925 0.4× 368 0.3× 482 0.4× 499 0.8× 267 0.5× 103 2.0k
Edward Tsang 975 0.4× 838 0.7× 1.2k 1.2× 624 1.0× 1.9k 3.2× 149 3.7k

Countries citing papers authored by Chun‐Hung Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Hung Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Hung Chen. 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 Chun‐Hung Chen. The network helps show where Chun‐Hung Chen may publish in the future.

Co-authorship network of co-authors of Chun‐Hung Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Hung Chen. A scholar is included among the top collaborators of Chun‐Hung Chen 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 Chun‐Hung Chen. Chun‐Hung Chen 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
1.
Çelik, Nurçin, et al.. (2025). Supercharging Digital Twins with AI. Asia Pacific Journal of Operational Research. 42(6).
2.
Chang, Kuo-Hao, et al.. (2021). An Efficient Direct Search Method for Simulation Optimization With Conditional-Expectation- Based Objectives. IEEE Transactions on Automation Science and Engineering. 19(4). 3750–3764. 2 indexed citations
3.
Chen, Chia‐Cheng, et al.. (2019). Investment Performance of Machine Learning: Analysis of S&P 500 Index. SHILAP Revista de lepidopterología. 1 indexed citations
4.
Peng, Yijie, Chun‐Hung Chen, Edwin K. P. Chong, & Michael C. Fu. (2018). A review of static and dynamic optimization for ranking and selection. Winter Simulation Conference. 1909–1920. 3 indexed citations
5.
Chang, Yung‐Chun, et al.. (2017). MONPA: Multi-objective Named-entity and Part-of-speech Annotator for Chinese using Recurrent Neural Network. International Joint Conference on Natural Language Processing. 2. 80–85. 4 indexed citations
6.
Lee, Loo Hay, et al.. (2016). Constrained optimizaton for hospital bed allocation via discrete event simulation with nested partitions. Winter Simulation Conference. 1916–1925. 5 indexed citations
7.
Peng, Yijie, Chun‐Hung Chen, Michael C. Fu, & Jian-Qiang Hu. (2015). Non-monotonicity of probability of correct selection. Winter Simulation Conference. 3678–3689. 6 indexed citations
8.
Lee, Loo Hay, et al.. (2013). Minimizing opportunity cost in selecting the best feasible design. Winter Simulation Conference. 898–907. 1 indexed citations
9.
Branke, Juergen, et al.. (2012). Optimal computing budget allocation for small computing budgets. Winter Simulation Conference. 1–13. 5 indexed citations
10.
Lee, Loo Hay, et al.. (2011). Simulation optimization using the particle swarm optimization with optimal computing budget allocation. Winter Simulation Conference. 4303–4314. 15 indexed citations
11.
Chen, Chun‐Hung, et al.. (2011). Combining simulation allocation and optimal splitting for rare-event simulation optimization. Winter Simulation Conference. 4003–4012. 1 indexed citations
12.
Shortle, John, et al.. (2010). Simulating non-stationary congestion systems using splitting with applications to cyber security. Winter Simulation Conference. 2865–2875. 2 indexed citations
13.
Zhou, Enlu, et al.. (2010). Efficient simulation budget allocation for selecting the best set of simplest good enough designs. Winter Simulation Conference. 1152–1159. 5 indexed citations
14.
Morrice, Douglas J., et al.. (2009). A transient means ranking and selection procedure with sequential sampling constraints. Winter Simulation Conference. 590–600. 1 indexed citations
15.
Lee, Loo Hay, et al.. (2009). Optimal computing budget allocation for constrained optimization. Winter Simulation Conference. 584–589. 18 indexed citations
16.
Fu, Michael C., Chun‐Hung Chen, & Leyuan Shi. (2008). Some topics for simulation optimization. Winter Simulation Conference. 27–38. 37 indexed citations
17.
Shortle, John & Chun‐Hung Chen. (2008). A preliminary study of optimal splitting for rare-event simulation. Winter Simulation Conference. 266–272. 5 indexed citations
18.
Xu, Ning, et al.. (2007). Bayesian Network Analysis of Flight Delays. Transportation Research Board 86th Annual MeetingTransportation Research Board. 13 indexed citations
19.
Chen, Chun‐Hung, et al.. (2005). A moving mesh approach for simulation budget allocation on continuous domains. Winter Simulation Conference. 699–707. 2 indexed citations
20.
Chen, Chun‐Hung, Donghai He, & Enver Yücesan. (2003). Special topics on simulation analysis: better-than-optimal simulation run allocation?. Winter Simulation Conference. 490–495. 1 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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