Chuen-Lung Chen

1.1k total citations
29 papers, 822 citations indexed

About

Chuen-Lung Chen is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Chuen-Lung Chen has authored 29 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Industrial and Manufacturing Engineering, 6 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Chuen-Lung Chen's work include Scheduling and Optimization Algorithms (16 papers), Advanced Manufacturing and Logistics Optimization (13 papers) and Assembly Line Balancing Optimization (12 papers). Chuen-Lung Chen is often cited by papers focused on Scheduling and Optimization Algorithms (16 papers), Advanced Manufacturing and Logistics Optimization (13 papers) and Assembly Line Balancing Optimization (12 papers). Chuen-Lung Chen collaborates with scholars based in Taiwan and United States. Chuen-Lung Chen's co-authors include Robert L. Bulfin, Chun-Lung Chen, Jatinder N.D. Gupta, Patrick G. Dempsey, David Kaber, Tzung‐Pei Hong, Shin‐Ying Huang, Rong-Ho Lin, Jianping Zhang and Wei-Cheng Liao and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and International Journal of Production Research.

In The Last Decade

Chuen-Lung Chen

27 papers receiving 759 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chuen-Lung Chen Taiwan 16 659 163 144 80 55 29 822
Ulrich Epple Germany 11 419 0.6× 70 0.4× 52 0.4× 86 1.1× 18 0.3× 97 563
K. Suzanne Barber United States 10 122 0.2× 84 0.5× 220 1.5× 38 0.5× 61 1.1× 70 443
Bayi Cheng China 14 440 0.7× 108 0.7× 148 1.0× 70 0.9× 112 2.0× 48 686
F. Frank Chen United States 9 545 0.8× 76 0.5× 78 0.5× 44 0.6× 31 0.6× 16 650
Robert L. Bulfin United States 17 698 1.1× 213 1.3× 45 0.3× 36 0.5× 103 1.9× 29 916
Peng Si Ow United States 12 774 1.2× 349 2.1× 209 1.5× 41 0.5× 103 1.9× 21 992
L. N. Van Wassenhove Belgium 9 847 1.3× 254 1.6× 90 0.6× 102 1.3× 54 1.0× 13 914
Marc Gravel Canada 13 433 0.7× 40 0.2× 100 0.7× 43 0.5× 51 0.9× 35 600
Inés González-Rodríguez Spain 15 476 0.7× 74 0.5× 129 0.9× 80 1.0× 48 0.9× 30 556
Moshe B. Rosenwein United States 13 490 0.7× 96 0.6× 72 0.5× 46 0.6× 51 0.9× 26 630

Countries citing papers authored by Chuen-Lung Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chuen-Lung Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chuen-Lung 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 Chuen-Lung Chen. The network helps show where Chuen-Lung Chen may publish in the future.

Co-authorship network of co-authors of Chuen-Lung Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Chuen-Lung Chen. A scholar is included among the top collaborators of Chuen-Lung 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 Chuen-Lung Chen. Chuen-Lung 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.
Liao, Wei-Cheng, et al.. (2014). A Fast Monte Carlo Algorithm for Estimating Value at Risk and Expected Shortfall. The Journal of Derivatives. 22(2). 50–66. 2 indexed citations
2.
Chen, Chun-Lung, et al.. (2014). A new heuristic based on local best solution for permutation flow shop scheduling. Applied Soft Computing. 29. 75–81. 12 indexed citations
4.
Chen, Chun-Lung, et al.. (2009). A bottleneck-based heuristic for minimizing makespan in a flexible flow line with unrelated parallel machines. Computers & Operations Research. 36(11). 3073–3081. 28 indexed citations
5.
Chen, Chuen-Lung, et al.. (2009). Emerging organizational structure for knowledge-oriented teamwork using genetic algorithm. Expert Systems with Applications. 36(10). 12137–12142. 11 indexed citations
6.
Huang, Shin‐Ying & Chuen-Lung Chen. (2009). A Hybrid Particle Swarm Optimization Algorithm with Diversity for Flow-Shop Scheduling Problem. 3 indexed citations
7.
Chen, Chuen-Lung, et al.. (2009). The Analysis for the Auxiliary Telemedicine System QoS. 1546–1551. 3 indexed citations
8.
Chen, Chuen-Lung, et al.. (2008). Bottleneck-based heuristics to minimize tardy jobs in a flexible flow line with unrelated parallel machines. International Journal of Production Research. 46(22). 6415–6430. 10 indexed citations
9.
Hong, Tzung‐Pei, et al.. (2008). AN IMPROVED KNOWLEDGE-ACQUISITION STRATEGY BASED ON GENETIC PROGRAMMING. Cybernetics & Systems. 39(7). 672–685. 3 indexed citations
10.
Chen, Chun-Lung & Chuen-Lung Chen. (2008). Bottleneck-based heuristics to minimize total tardiness for the flexible flow line with unrelated parallel machines. Computers & Industrial Engineering. 56(4). 1393–1401. 21 indexed citations
11.
Hong, Tzung‐Pei, et al.. (2007). Applying genetic programming technique in classification trees. Soft Computing. 11(12). 1165–1172. 17 indexed citations
12.
Hong, Tzung‐Pei, et al.. (2007). A Knowledge-Acquisition Strategy Based on Genetic Programming. 2007 International Conference on Convergence Information Technology (ICCIT 2007). 35. 217–221.
13.
Chen, Chuen-Lung, et al.. (2006). A Heuristic Method for a Flexible Flow Line with Unrelated Parallel Machines Problem. 3 indexed citations
14.
Chen, Chuen-Lung, David Kaber, & Patrick G. Dempsey. (2003). Using feedforward neural networks and forward selection of input variables for an ergonomics data classification problem. Human Factors and Ergonomics in Manufacturing & Service Industries. 14(1). 31–49. 16 indexed citations
15.
Chen, Chuen-Lung, Rong-Ho Lin, & Jianping Zhang. (2002). Genetic algorithms for MD-optimal follow-up designs. Computers & Operations Research. 30(2). 233–252. 3 indexed citations
16.
Chen, Chuen-Lung, David Kaber, & Patrick G. Dempsey. (2000). A new approach to applying feedforward neural networks to the prediction of musculoskeletal disorder risk. Applied Ergonomics. 31(3). 269–282. 28 indexed citations
17.
Chen, Chuen-Lung, et al.. (1997). A tabu search approach to the cell formation problem. Computers & Industrial Engineering. 32(1). 169–185. 43 indexed citations
18.
Chen, Chuen-Lung, et al.. (1996). Genetic algorithms for the two-stage bicriteria flowshop problem. European Journal of Operational Research. 95(2). 356–373. 70 indexed citations
19.
Chen, Chuen-Lung, et al.. (1996). Genetic algorithms applied to the continuous flow shop problem. Computers & Industrial Engineering. 30(4). 919–929. 106 indexed citations
20.
Chen, Chuen-Lung & Robert L. Bulfin. (1994). SCHEDULING A SINGLE MACHINE TO MINIMIZE TWO CRITERIA: MAXIMUM TARDINESS AND NUMBER OF TARDY JOBS. IIE Transactions. 26(5). 76–84. 10 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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