Ching‐Chung Kuo

521 citations
16 papers · 361 · h-index 10

Impact in

Papers in

Ching‐Chung Kuo

16 papers receiving 348 citations

Peers

Ching‐Chung Kuo
Comparison fields: 5 of 78
  • Industrial and Manufacturing Engineering 153
  • Management Information Systems 67
  • Management Science and Operations Research 79
  • Organizational Behavior and Human Resource Management 66
  • Strategy and Management 65
Replace Mustafa S. Canbolat with:
Mustafa S. Canbolat Canada
Patrick G. McKeown United States
Wan Seon Shin South Korea
Wilhelm Dangelmaier Germany
Adriana F. Gabor Netherlands
P. Miliotis Greece
Gary M. Roodman United States
Lalitha Dhamotharan United Kingdom
Mehmet Mutlu Yenisey Türkiye
Daniela Favaretto Italy
Ching‐Chung Kuo relative to Mustafa S. Canbolat Canada Mustafa S. Canbolat's profile →
Citations per field
00.5×2.7×
Mustafa S. Canbolat · 1×
Citations per year

Countries citing papers authored by Ching‐Chung Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Chung Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ching‐Chung Kuo. 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 Ching‐Chung Kuo. The network helps show where Ching‐Chung Kuo may publish in the future.

Co-authors

The 9 scholars most cited alongside Ching‐Chung Kuo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ching‐Chung Kuo Line = papers co-authored together Ching‐Chung Kuo links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1993121
2 199875
3 200935
4 200524
5 201517
6 199117
7 200410
8 20039
9 20139
10 20099
11 20048
12 20178
13 20118
14 20186
15 20114
16 20131

About Ching‐Chung Kuo

Ching‐Chung Kuo is a scholar working on Management Information Systems, Management Science and Operations Research, Industrial and Manufacturing Engineering, Strategy and Management and Marketing, having authored 16 papers that have together received 361 indexed citations. Recurring topics across this work include Supply Chain and Inventory Management (6 papers), Vehicle Routing Optimization Methods (4 papers), Auction Theory and Applications (4 papers), Consumer Market Behavior and Pricing (3 papers), Optimization and Packing Problems (2 papers), Facility Location and Emergency Management (2 papers), Reliability and Maintenance Optimization (1 paper) and Advanced Queuing Theory Analysis (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (153 citations), Management Information Systems (67 citations), Management Science and Operations Research (79 citations), Organizational Behavior and Human Resource Management (66 citations) and Strategy and Management (65 citations). Ching‐Chung Kuo has collaborated with scholars based in United States and China. Frequent co-authors include Krishna S. Dhir, Fred Glover, Richard E. White, Divesh Ojha, Zhen Li, S. L. Hakimi, Jinfeng Yue, Manjula S. Salimath and Gillian Nicholls. Their work appears in journals such as European Journal of Operational Research, The International Journal of Advanced Manufacturing Technology, International Journal of Production Research, Annals of Operations Research and Decision Sciences.

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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