Hui‐Ming Wee

408 total citations
16 papers, 277 citations indexed

About

Hui‐Ming Wee is a scholar working on Management Information Systems, Strategy and Management and Industrial and Manufacturing Engineering. According to data from OpenAlex, Hui‐Ming Wee has authored 16 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Management Information Systems, 6 papers in Strategy and Management and 6 papers in Industrial and Manufacturing Engineering. Recurrent topics in Hui‐Ming Wee's work include Supply Chain and Inventory Management (7 papers), Supply Chain Resilience and Risk Management (4 papers) and Advanced Statistical Process Monitoring (3 papers). Hui‐Ming Wee is often cited by papers focused on Supply Chain and Inventory Management (7 papers), Supply Chain Resilience and Risk Management (4 papers) and Advanced Statistical Process Monitoring (3 papers). Hui‐Ming Wee collaborates with scholars based in Taiwan, Indonesia and United States. Hui‐Ming Wee's co-authors include Po-Chung Yang, Ronald Sukwadi, Ching‐Chow Yang, Maurício F. Blos, J. Joshua Yang, Jinn‐Tsair Teng, Leopoldo Eduardo Cárdenas‐Barrón, S. Smys, Yung‐Tsan Jou and Jonas C.P. Yu and has published in prestigious journals such as International Journal of Production Research, Computers & Operations Research and Journal of Small Business Management.

In The Last Decade

Hui‐Ming Wee

16 papers receiving 251 citations

Peers

Hui‐Ming Wee
H.M. Wee Taiwan
Lena Silbermayr Austria
Reza Alikhani Iran
Katherinne Salas-Navarro Colombia
Leonardo Marrazzini Italy
Ravindra Gokhale India
R Sreedevi India
Elisa Kusrini Indonesia
Kit‐Nam Francis Leung Hong Kong
Maurício F. Blos Brazil
H.M. Wee Taiwan
Hui‐Ming Wee
Citations per year, relative to Hui‐Ming Wee Hui‐Ming Wee (= 1×) peers H.M. Wee

Countries citing papers authored by Hui‐Ming Wee

Since Specialization
Citations

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

Fields of papers citing papers by Hui‐Ming Wee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui‐Ming Wee. 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 Hui‐Ming Wee. The network helps show where Hui‐Ming Wee may publish in the future.

Co-authorship network of co-authors of Hui‐Ming Wee

This figure shows the co-authorship network connecting the top 25 collaborators of Hui‐Ming Wee. A scholar is included among the top collaborators of Hui‐Ming Wee 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 Hui‐Ming Wee. Hui‐Ming Wee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
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Wee, Hui‐Ming, et al.. (2019). Modeling a traditional fishing boat building in East Java, Indonesia. Ocean Engineering. 189. 106234–106234. 10 indexed citations
4.
Smys, S., et al.. (2018). Introduction to the Special Section on Inventive Systems and Smart Cities. Computers & Electrical Engineering. 65. 32–33. 10 indexed citations
5.
Blos, Maurício F., et al.. (2015). A note on supply chain risk classification: discussion and proposal. International Journal of Production Research. 54(5). 1568–1569. 15 indexed citations
6.
Sukwadi, Ronald, Hui‐Ming Wee, & Ching‐Chow Yang. (2013). Supply Chain Performance Based on the Lean-Agile Operations and Supplier-Firm Partnership: An Empirical Study on the Garment Industry in Indonesia. Journal of Small Business Management. 51(2). 297–311. 45 indexed citations
7.
Wee, Hui‐Ming, et al.. (2012). A production quantity model for imperfect quality items with shortage and screening constraint. International Journal of Production Research. 51(6). 1869–1884. 43 indexed citations
8.
Cárdenas‐Barrón, Leopoldo Eduardo, Hui‐Ming Wee, & Jinn‐Tsair Teng. (2011). A supplement to “Using the EPQ for coordinated planning of a product with partial backordering and its components”. Mathematical and Computer Modelling. 54(1-2). 852–857. 8 indexed citations
9.
Purnomo, Hindriyanto Dwi, Hui‐Ming Wee, & Hsin Rau. (2011). Harmony Search for Balancing Two-sided Assembly Lines. Jurnal Teknik Industri. 14(2). 1 indexed citations
10.
Blos, Maurício F., Hui‐Ming Wee, & J. Joshua Yang. (2010). Analysing the external supply chain risk driver competitiveness: A risk mitigation framework and business continuity plan. PubMed. 4(4). 368–368. 21 indexed citations
11.
Jou, Yung‐Tsan, et al.. (2009). A neural network forecasting model for consumable parts in semiconductor manufacturing. Journal of Manufacturing Technology Management. 20(3). 404–412. 6 indexed citations
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Wee, Hui‐Ming, et al.. (2007). Collaboration Inventory System with Limited Resources and Weibull Distribution Deterioration. Industrial Engineering & Management Systems. 6(1). 1–10. 3 indexed citations
14.
Wee, Hui‐Ming, et al.. (2005). An effective integrated inventory model to coordinate inventory replenishment and shipment consolidation. Journal of Information and Optimization Sciences. 26(3). 645–663. 3 indexed citations
15.
Yang, Po-Chung & Hui‐Ming Wee. (2001). A quick response production strategy to market demand. Production Planning & Control. 12(4). 326–334. 23 indexed citations
16.
Wee, Hui‐Ming, et al.. (1999). Economic production lot size for deteriorating items taking account of the time-value of money. Computers & Operations Research. 26(6). 545–558. 78 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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