Chung-Yuan Dye

52 papers receiving 2.7k citations

Peers

Chung-Yuan Dye
Comparison fields: 5 of 65
  • Management Information Systems 2.7k
  • Strategy and Management 2.1k
  • Industrial and Manufacturing Engineering 899
  • Marketing 455
  • Management Science and Operations Research 306
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Moncer Hariga Saudi Arabia
Suresh Kumar Goyal Canada
Chih-Te Yang Taiwan
Ioannis Konstantaras Greece
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Chun‐Tao Chang Taiwan
Yong‐Wu Zhou China
Scott Webster United States
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Citations per field
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Citations per year

Countries citing papers authored by Chung-Yuan Dye

Since Specialization
Citations

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

Fields of papers citing papers by Chung-Yuan Dye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chung-Yuan Dye. 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-Yuan Dye. The network helps show where Chung-Yuan Dye may publish in the future.

Co-authorship network of co-authors of Chung-Yuan Dye

This figure shows the co-authorship network connecting the top 25 collaborators of Chung-Yuan Dye. A scholar is included among the top collaborators of Chung-Yuan Dye 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-Yuan Dye. Chung-Yuan Dye 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 0
2 62
3 5
4 45
5 80
6
A Note on EOQ Models for Perishable Items under Stock Dependent Selling Rate
0
7
Optimal Lot Size under Trade Credit Financing When Demand and Deterioration Are Fluctuating with Time
5
8 124
9 6
10 90
11 22
12 89
13 207
14 2
15 6
16 25
17 18
18 100
19 17
20
An EOQ model for deteriorating items with exponential time-varying demand and partial backlogging
16

About Chung-Yuan Dye

Chung-Yuan Dye is a scholar working on Management Information Systems, Strategy and Management and Industrial and Manufacturing Engineering, having authored 54 papers that have together received 3.0k indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (48 papers), Sustainable Supply Chain Management (35 papers) and Scheduling and Optimization Algorithms (17 papers). The work is most often cited by research in Management Information Systems (2.7k citations), Strategy and Management (2.1k citations) and Industrial and Manufacturing Engineering (899 citations). Chung-Yuan Dye has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Tsu-Pang Hsieh, Liang‐Yuh Ouyang, Horng‐Jinh Chang, Chih-Te Yang, Jinn‐Tsair Teng, Ji‐Feng Ding, Chi‐Chuan Wu, Yuren Chen, Hung‐Chi Chang and Hsiao‐Yun Chang. Their work appears in journals such as European Journal of Operational Research, Expert Systems with Applications and Journal of the Operational Research Society.

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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2026