Kuei‐Lun Chang
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- Multi-Criteria Decision Making 10
- Strategy and Management top 10%
- Strategic Planning and Analysis 6
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- Technology Adoption and User Behaviour 7
- Management Information Systems top 10%
- Quality and Supply Management 4
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- Customer Service Quality and Loyalty 8
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- Digital Marketing and Social Media 6
- Digital Games and Media 2
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- Maritime Ports and Logistics 2
In The Last Decade
Kuei‐Lun Chang
25 papers receiving 310 citations
Peers
Comparison fields: 5 of 75
- Management Science and Operations Research 173
- Strategy and Management 95
- Information Systems and Management 41
- Management Information Systems 52
- Management of Technology and Innovation 35
Countries citing papers authored by Kuei‐Lun Chang
This map shows the geographic impact of Kuei‐Lun Chang'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 Kuei‐Lun Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuei‐Lun Chang more than expected).
Fields of papers citing papers by Kuei‐Lun Chang
This network shows the impact of papers produced by Kuei‐Lun Chang. 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 Kuei‐Lun Chang. The network helps show where Kuei‐Lun Chang may publish in the future.
Co-authorship network
The 5 scholars most cited alongside Kuei‐Lun Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2022 | 5 | |
| 3 | A New Hybrid MCDM Model for Esports Caster Selection. | 2021 | 1 |
| 4 | 2021 | 16 | |
| 5 | A Collaborative MCDM Model to Select Bloggers for Female Fitness Center Chains. | 2020 | 3 |
| 6 | The Selection of Gamers for Professional Esports Teams. | 2020 | 3 |
| 7 | 2020 | 9 | |
| 8 | A Novel Hybrid MCDM Model to Select Celebrity Endorser for Airlines. | 2019 | 4 |
| 9 | 2019 | 9 | |
| 10 | 2018 | 17 | |
| 11 | 2015 | 27 | |
| 12 | 2015 | 14 | |
| 13 | 2015 | 44 | |
| 14 | 2013 | 6 | |
| 15 | 2011 | 10 | |
| 16 | 2010 | 15 | |
| 17 | 2009 | 21 | |
| 18 | 2009 | 8 | |
| 19 | Selecting the Hosts of Taiwan TV-Shopping Channels by Analytic Network Process | 2007 | 9 |
| 20 | 2006 | 0 |
About Kuei‐Lun Chang
Kuei‐Lun Chang is a scholar working on Management Information Systems, Information Systems and Management and Management Science and Operations Research, having authored 26 papers that have together received 339 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (10 papers), Customer Service Quality and Loyalty (8 papers), Technology Adoption and User Behaviour (7 papers), Digital Marketing and Social Media (6 papers), Strategic Planning and Analysis (6 papers), Quality and Supply Management (4 papers), Digital Games and Media (2 papers) and Maritime Ports and Logistics (2 papers). The work is most often cited by research in Management Science and Operations Research (173 citations), Strategy and Management (95 citations) and Information Systems and Management (41 citations). Kuei‐Lun Chang has collaborated with scholars based in Taiwan, China and Malaysia. Frequent co-authors include Ching‐Lin Hsieh, Jung‐Fa Tsai, Yi‐Chung Hu, You‐Shyang Chen and Chui-Yu Chiu. Their work appears in journals such as Sustainability, Applied Sciences and Management Decision.
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.