Ching-Fang Liaw

971 total citations
26 papers, 685 citations indexed

About

Ching-Fang Liaw is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Ching-Fang Liaw has authored 26 papers receiving a total of 685 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Industrial and Manufacturing Engineering, 7 papers in Computer Networks and Communications and 4 papers in Artificial Intelligence. Recurrent topics in Ching-Fang Liaw's work include Scheduling and Optimization Algorithms (18 papers), Advanced Manufacturing and Logistics Optimization (12 papers) and Assembly Line Balancing Optimization (8 papers). Ching-Fang Liaw is often cited by papers focused on Scheduling and Optimization Algorithms (18 papers), Advanced Manufacturing and Logistics Optimization (12 papers) and Assembly Line Balancing Optimization (8 papers). Ching-Fang Liaw collaborates with scholars based in Taiwan, United States and Türkiye. Ching-Fang Liaw's co-authors include Yang-Kuei Lin, Chelsea C. White, Huai-Wei Lo, Muhammet Gül, Mingchih Chen, Rung-Ching Chen, Tao-Ming Cheng and Dinesh Chandra Agrawal and has published in prestigious journals such as European Journal of Operational Research, Computers & Operations Research and Computers & Industrial Engineering.

In The Last Decade

Ching-Fang Liaw

24 papers receiving 645 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ching-Fang Liaw Taiwan 12 555 153 125 80 51 26 685
Moshe B. Rosenwein United States 13 490 0.9× 96 0.6× 72 0.6× 51 0.6× 45 0.9× 26 630
Francis J. Vasko United States 15 522 0.9× 135 0.9× 97 0.8× 77 1.0× 54 1.1× 76 743
Marjan van den Akker Netherlands 14 581 1.0× 237 1.5× 48 0.4× 97 1.2× 61 1.2× 53 873
Kerem Bülbül Türkiye 14 403 0.7× 117 0.8× 43 0.3× 87 1.1× 57 1.1× 32 528
Francisco Ángel-Bello Mexico 16 521 0.9× 73 0.5× 86 0.7× 44 0.6× 38 0.7× 28 630
Deniz Türsel Eliiyi Türkiye 15 632 1.1× 98 0.6× 52 0.4× 82 1.0× 85 1.7× 50 793
Ada Álvarez Mexico 17 482 0.9× 67 0.4× 90 0.7× 72 0.9× 93 1.8× 42 720
Saïd Hanafi France 15 449 0.8× 74 0.5× 117 0.9× 46 0.6× 20 0.4× 21 579
Greger Ottosson United States 7 263 0.5× 179 1.2× 56 0.4× 87 1.1× 17 0.3× 11 467
Christos Voudouris United Kingdom 8 277 0.5× 82 0.5× 134 1.1× 85 1.1× 23 0.5× 14 434

Countries citing papers authored by Ching-Fang Liaw

Since Specialization
Citations

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

Fields of papers citing papers by Ching-Fang Liaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching-Fang Liaw. 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 Ching-Fang Liaw. The network helps show where Ching-Fang Liaw may publish in the future.

Co-authorship network of co-authors of Ching-Fang Liaw

This figure shows the co-authorship network connecting the top 25 collaborators of Ching-Fang Liaw. A scholar is included among the top collaborators of Ching-Fang Liaw 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 Ching-Fang Liaw. Ching-Fang Liaw 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.
Lo, Huai-Wei, et al.. (2021). Sustainable supplier evaluation and transportation planning in multi-level supply chain networks using multi-attribute- and multi-objective decision making. Computers & Industrial Engineering. 162. 107756–107756. 42 indexed citations
2.
Liaw, Ching-Fang, et al.. (2020). A Hybrid MCDM Model to Evaluate and Classify Outsourcing Providers in Manufacturing. Symmetry. 12(12). 1962–1962. 17 indexed citations
3.
Cheng, Tao-Ming, et al.. (2018). Remedial education for high-risk university freshmen – the case of a university of technology in Taiwan. Asia Pacific Journal of Education. 38(2). 241–256.
4.
Liaw, Ching-Fang. (2016). A branch-and-bound algorithm for identical parallel machine total tardiness scheduling problem with preemption. Journal of Industrial and Production Engineering. 33(6). 426–434. 5 indexed citations
5.
Liaw, Ching-Fang. (2014). A fast heuristic to minimize number of tardy jobs in preemptive open shops. Journal of Industrial and Production Engineering. 31(1). 27–35. 1 indexed citations
6.
Liaw, Ching-Fang. (2007). An efficient simple metaheuristic for minimizing the makespan in two-machine no-wait job shops. Computers & Operations Research. 35(10). 3276–3283. 17 indexed citations
7.
Liaw, Ching-Fang. (2003). Scheduling preemptive open shops to minimize total tardiness. European Journal of Operational Research. 162(1). 173–183. 11 indexed citations
8.
Liaw, Ching-Fang. (2003). An efficient tabu search approach for the two-machine preemptive open shop scheduling problem. Computers & Operations Research. 30(14). 2081–2095. 29 indexed citations
9.
Liaw, Ching-Fang, et al.. (2002). The total completion time open shop scheduling problem with a given sequence of jobs on one machine. Computers & Operations Research. 29(9). 1251–1266. 11 indexed citations
10.
Liaw, Ching-Fang, et al.. (2001). SCHEDULING OPEN SHOPS TO MINIMIZE TOTAL WEIGHTED TARDINESS. Journal of the Chinese Institute of Industrial Engineers. 18(6). 29–42. 1 indexed citations
11.
Liaw, Ching-Fang. (2000). A hybrid genetic algorithm for the open shop scheduling problem. European Journal of Operational Research. 124(1). 28–42. 150 indexed citations
12.
Liaw, Ching-Fang. (1999). A tabu search algorithm for the open shop scheduling problem. Computers & Operations Research. 26(2). 109–126. 55 indexed citations
13.
Liaw, Ching-Fang. (1999). . IIE Transactions. 31(5). 457–465. 1 indexed citations
14.
Liaw, Ching-Fang. (1999). Applying simulated annealing to the open shop scheduling problem. IIE Transactions. 31(5). 457–465. 35 indexed citations
15.
Liaw, Ching-Fang. (1998). An iterative improvement approach for the nonpreemptive open shop scheduling problem. European Journal of Operational Research. 111(3). 509–517. 27 indexed citations
16.
Liaw, Ching-Fang, et al.. (1996). A decision support system for the bimodal dial-a-ride problem. IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans. 26(5). 552–565. 48 indexed citations
17.
Liaw, Ching-Fang & Chelsea C. White. (1996). A heuristic search approach for solving a minimum path problem requiring arc cost determination. IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans. 26(5). 545–551. 4 indexed citations
18.
Liaw, Ching-Fang, et al.. (1995). Multiobjective heuristic search in AND/OR graphs. IEEE Transactions on Systems Man and Cybernetics. 25(11). 1513–1521. 3 indexed citations
19.
Liaw, Ching-Fang & Chelsea C. White. (1994). Heuristic search and its transit applications.. Deep Blue (University of Michigan).
20.
Liaw, Ching-Fang, et al.. (1994). A bibliography of heuristic search research through 1992. IEEE Transactions on Systems Man and Cybernetics. 24(2). 268–293. 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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