Chung Yee Lee
- Management Information Systems top 5%
- Strategy and Management top 10%
- Industrial and Manufacturing Engineering top 5%
- Management Science and Operations Research top 10%
- Management of Technology and Innovation top 10%
- Co-authors
- Qi FuChung‐Piaw TeoVernon Ning HsuKut C. SoQiang MengEric V. DenardoD. Jack ElzingaThomas R. Gulledge
- Topics
- Supply Chain and Inventory Management (5 papers)Drilling and Well Engineering (3 papers)Reservoir Engineering and Simulation Methods (3 papers)
- Cited by
- Management Information SystemsStrategy and ManagementIndustrial and Manufacturing Engineering
- Partner nations
- United KingdomMalaysiaUnited States
In The Last Decade
Chung Yee Lee
13 papers receiving 247 citations
Peers
Comparison fields: 5 of 36
- Management Information Systems 201
- Strategy and Management 138
- Industrial and Manufacturing Engineering 67
- Management Science and Operations Research 50
- Management of Technology and Innovation 28
Countries citing papers authored by Chung Yee Lee
This map shows the geographic impact of Chung Yee Lee'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 Chung Yee Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chung Yee Lee more than expected).
Fields of papers citing papers by Chung Yee Lee
This network shows the impact of papers produced by Chung Yee Lee. 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 Chung Yee Lee. The network helps show where Chung Yee Lee may publish in the future.
Co-authorship network of co-authors of Chung Yee Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Chung Yee Lee. A scholar is included among the top collaborators of Chung Yee Lee 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 Chung Yee Lee. Chung Yee Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 5 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 31 | |
| 6 | 0 | |
| 7 | 135 | |
| 8 | Optimal Component Acquisition for a Single-Product, Single-Demand Assemble-to-Order Problem with Expediting | 4 |
| 9 | 12 | |
| 10 | 43 | |
| 11 | 8 | |
| 12 | Harris Semiconductor Gains Competitiveness Through On Time Delivery and Cost Reduction | 1 |
| 13 | Scheduling: Theory, Algorithms, and Systems [Book review] | 1 |
| 14 | 10 |
About Chung Yee Lee
Chung Yee Lee is a scholar working on Management Information Systems, Industrial and Manufacturing Engineering and Ocean Engineering, having authored 14 papers that have together received 257 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (5 papers), Drilling and Well Engineering (3 papers) and Reservoir Engineering and Simulation Methods (3 papers). The work is most often cited by research in Management Information Systems (201 citations), Strategy and Management (138 citations) and Industrial and Manufacturing Engineering (67 citations). Chung Yee Lee has collaborated with scholars based in United Kingdom, Malaysia and United States. Frequent co-authors include Qi Fu, Chung‐Piaw Teo, Vernon Ning Hsu, Kut C. So, Qiang Meng, Eric V. Denardo, D. Jack Elzinga, Thomas R. Gulledge, Ke Fu and Srinivasan Jagannathan. Their work appears in journals such as Management Science, Annals of Operations Research and Naval Research Logistics (NRL).
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.