Hung-da Wan

594 total citations
21 papers, 351 citations indexed

About

Hung-da Wan is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Management Science and Operations Research. According to data from OpenAlex, Hung-da Wan has authored 21 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Industrial and Manufacturing Engineering, 7 papers in Management Information Systems and 6 papers in Management Science and Operations Research. Recurrent topics in Hung-da Wan's work include Quality and Supply Management (5 papers), Smart Grid Security and Resilience (4 papers) and Digital Transformation in Industry (4 papers). Hung-da Wan is often cited by papers focused on Quality and Supply Management (5 papers), Smart Grid Security and Resilience (4 papers) and Digital Transformation in Industry (4 papers). Hung-da Wan collaborates with scholars based in United States, China and India. Hung-da Wan's co-authors include F. Frank Chen, Can Saygin, Sanjay Kumar Shukla, Ravi Shankar, Manoj Kumar Tiwari, Li Nie, Shanshan Wu, Beizhi Li, Robert A. Clark and Heather J. Shipley and has published in prestigious journals such as Expert Systems with Applications, Journal of Biomechanical Engineering and Computers & Industrial Engineering.

In The Last Decade

Hung-da Wan

19 papers receiving 324 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hung-da Wan United States 11 140 139 117 63 48 21 351
Paweł Pawlewski Poland 10 65 0.5× 194 1.4× 60 0.5× 83 1.3× 33 0.7× 58 388
Sara Antomarioni Italy 12 107 0.8× 178 1.3× 119 1.0× 43 0.7× 37 0.8× 29 437
Nebil Buyurgan United States 11 142 1.0× 124 0.9× 113 1.0× 40 0.6× 24 0.5× 32 396
Alexis Aubry France 12 146 1.0× 189 1.4× 55 0.5× 53 0.8× 71 1.5× 42 445
William de Paula Ferreira Brazil 9 82 0.6× 226 1.6× 65 0.6× 43 0.7× 24 0.5× 25 386
Leon McGinnis United States 12 194 1.4× 249 1.8× 73 0.6× 127 2.0× 37 0.8× 44 471
Changrui Ren China 9 185 1.3× 57 0.4× 63 0.5× 74 1.2× 78 1.6× 52 358
Giovanni Romagnoli Italy 12 103 0.7× 150 1.1× 62 0.5× 44 0.7× 31 0.6× 50 370
Claire Palmer United Kingdom 11 97 0.7× 193 1.4× 70 0.6× 29 0.5× 55 1.1× 25 444
Dingzhong Feng China 10 96 0.7× 157 1.1× 140 1.2× 33 0.5× 43 0.9× 30 403

Countries citing papers authored by Hung-da Wan

Since Specialization
Citations

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

Fields of papers citing papers by Hung-da Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hung-da Wan. 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 Hung-da Wan. The network helps show where Hung-da Wan may publish in the future.

Co-authorship network of co-authors of Hung-da Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Hung-da Wan. A scholar is included among the top collaborators of Hung-da Wan 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 Hung-da Wan. Hung-da Wan 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.
2.
Alaeddini, Adel, et al.. (2023). Evaluation and improvement of student learning experience in the post-COVID world: A lean six-sigma DMAIC study. International Journal of Mechanical Engineering Education. 52(3). 315–335.
3.
Wan, Hung-da, et al.. (2020). Effectiveness and fitness of production line to meet customers’ demand. Procedia Manufacturing. 51. 1348–1354. 4 indexed citations
4.
Wan, Hung-da, et al.. (2020). Cyber-Physical Security Evaluation in Manufacturing Systems with a Bayesian Game Model. Procedia Manufacturing. 51. 1158–1165. 1 indexed citations
5.
Han, Hai‐Chao, et al.. (2020). Quantifying Engineering Faculty Performance Based on Expectations on Key Activities and Integration Using Flexible Weighting Factors. Journal of Biomechanical Engineering. 142(11). 1 indexed citations
6.
Saygin, Can, Timothy Wai Wa Yuen, Heather J. Shipley, Hung-da Wan, & David Akopian. (2020). Design, Development, and Implementation of Educational Robotics Activities for K-12 Students. Papers on Engineering Education Repository (American Society for Engineering Education). 25.404.1–25.404.17. 3 indexed citations
7.
Wan, Hung-da, et al.. (2020). Redesigning a Lean Simulation Game for More Flexibility and Higher Efficiency. 25.1104.1–25.1104.12. 3 indexed citations
8.
Wan, Hung-da, et al.. (2019). Risk Assessment for Cyber Security of Manufacturing Systems: A Game Theory Approach. Procedia Manufacturing. 38. 605–612. 15 indexed citations
9.
Wan, Hung-da, et al.. (2019). Cybersecurity Concerns for Total Productive Maintenance in Smart Manufacturing Systems. Procedia Manufacturing. 38. 532–539. 19 indexed citations
10.
Schmidt, Susanne, L. Aubree Shay, Can Saygin, et al.. (2018). Improving pilot project application and review processes: A novel application of lean six sigma in translational science. Journal of Clinical and Translational Science. 2(3). 135–138. 4 indexed citations
11.
Saygin, Can, et al.. (2018). A simulation-based platform for assessing the impact of cyber-threats on smart manufacturing systems. Procedia Manufacturing. 26. 1116–1127. 27 indexed citations
12.
Saygin, Can, et al.. (2018). A game theory based cybersecurity assessment model for advanced manufacturing systems. Procedia Manufacturing. 26. 1255–1264. 26 indexed citations
13.
Saygin, Can, et al.. (2018). Cybersecurity Analysis of Smart Manufacturing System Using Game Theory Approach and Quantal Response Equilibrium. Procedia Manufacturing. 17. 1001–1008. 23 indexed citations
14.
Wan, Hung-da, et al.. (2015). Constraint identification techniques for lean manufacturing systems. Robotics and Computer-Integrated Manufacturing. 43. 50–58. 14 indexed citations
15.
Wan, Hung-da, et al.. (2012). Disassembly planning and sequencing for end-of-life products with RFID enriched information. Robotics and Computer-Integrated Manufacturing. 29(3). 112–118. 45 indexed citations
16.
Wan, Hung-da, et al.. (2011). Impact of Lean Tools on energy consumption. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 9(19). 33–33. 9 indexed citations
17.
Wu, Shanshan, Hung-da Wan, Sanjay Kumar Shukla, & Beizhi Li. (2010). Chaos-based improved immune algorithm (CBIIA) for resource-constrained project scheduling problems. Expert Systems with Applications. 38(4). 3387–3395. 16 indexed citations
18.
Wan, Hung-da, et al.. (2009). An Ant based simulation optimization for Vehicle Routing Problem with stochastic demands. Proceedings of the 2009 Winter Simulation Conference (WSC). 2476–2487. 5 indexed citations
19.
Wan, Hung-da & F. Frank Chen. (2009). Decision support for lean practitioners: A web-based adaptive assessment approach. Computers in Industry. 60(4). 277–283. 67 indexed citations
20.
Shukla, Sanjay Kumar, Manoj Kumar Tiwari, Hung-da Wan, & Ravi Shankar. (2009). Optimization of the supply chain network: Simulation, Taguchi, and Psychoclonal algorithm embedded approach. Computers & Industrial Engineering. 58(1). 29–39. 41 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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