Hui‐Ming Wee

237 papers receiving 7.6k citations

Hit Papers

Big data analytics in supply chain management between 201...20172026202020232017100200300

Peers

Hui‐Ming Wee
Comparison fields: 5 of 114
  • Management Information Systems 6.3k
  • Strategy and Management 5.6k
  • Industrial and Manufacturing Engineering 2.3k
  • Control and Systems Engineering 870
  • Management Science and Operations Research 834
Replace Leopoldo Eduardo Cárdenas‐Barrón with:
Leopoldo Eduardo Cárdenas‐Barrón Mexico
Shib Sankar Sana India
Bibhas C. Giri India
Ata Allah Taleizadeh Iran
Ilkyeong Moon South Korea
S.K. Goyal Canada
C. H. Glock Germany
Benita M. Beamon United States
Stefan Minner Germany
Panos Kouvelis United States
Hui‐Ming Wee relative to Leopoldo Eduardo Cárdenas‐Barrón Mexico Leopoldo Eduardo Cárdenas‐Barrón's profile →
Citations per field
00.5×1.5×
Leopoldo Eduardo Cárdenas‐Barrón · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 1
2
Supply Chain Inventory System Considering Production Postponement and Rework
1
3 19
4
Reducing uncertainty in the automotive after sale service parts through inventory management
1
5 64
6 24
7 49
8 44
9 71
10 2
11 3
12
AN INNOVATIVE HEURISTIC FOR JOINT REPLENISHMENT PROBLEM WITH DETERMINISTIC AND STOCHASTIC DEMAND
4
13 22
14 39
15 65
16 15
17 147
18 83
19 1
20 113

About Hui‐Ming Wee

Hui‐Ming Wee is a scholar working on Management Information Systems, Strategy and Management and Industrial and Manufacturing Engineering, having authored 247 papers that have together received 8.1k indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (185 papers), Sustainable Supply Chain Management (152 papers) and Scheduling and Optimization Algorithms (56 papers). The work is most often cited by research in Management Information Systems (6.3k citations), Strategy and Management (5.6k citations) and Industrial and Manufacturing Engineering (2.3k citations). Hui‐Ming Wee has collaborated with scholars based in Taiwan, Indonesia and United States. Frequent co-authors include Yosef Daryanto, Sunil Tiwari, Chun-Jen Chung, I Gede Agus Widyadana, Po-Chung Yang, Po‐Chih Yang, Jonas C.P. Yu, Ping-Hui Hsu, Leopoldo Eduardo Cárdenas‐Barrón and Ata Allah Taleizadeh. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and European Journal of Operational Research.

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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