Gin‐Shuh Liang
- Management Science and Operations Research top 0.2%
- Industrial and Manufacturing Engineering top 0.5%
- Control and Systems Engineering top 2%
- Strategy and Management top 5%
- Management of Technology and Innovation top 1%
- Co-authors
- Mao‐Jiun J. WangMing-Shin KuoJi‐Feng DingTsung‐Yu ChouChing-Wu ChuTzeu-Chen HanWen-Chih HuangChien‐Chang Chou
- Topics
- Multi-Criteria Decision Making (33 papers)Maritime Ports and Logistics (16 papers)Fuzzy Systems and Optimization (12 papers)
- Cited by
- Management Science and Operations ResearchIndustrial and Manufacturing EngineeringManagement of Technology and Innovation
- Journals
- European Journal of Operational ResearchExpert Systems with ApplicationsInformation Sciences
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Gin‐Shuh Liang
54 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 122
- Management Science and Operations Research 1.5k
- Industrial and Manufacturing Engineering 528
- Control and Systems Engineering 471
- Strategy and Management 358
- Management of Technology and Innovation 337
Countries citing papers authored by Gin‐Shuh Liang
This map shows the geographic impact of Gin‐Shuh Liang'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 Gin‐Shuh Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gin‐Shuh Liang more than expected).
Fields of papers citing papers by Gin‐Shuh Liang
This network shows the impact of papers produced by Gin‐Shuh Liang. 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 Gin‐Shuh Liang. The network helps show where Gin‐Shuh Liang may publish in the future.
Co-authorship network of co-authors of Gin‐Shuh Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Gin‐Shuh Liang. A scholar is included among the top collaborators of Gin‐Shuh Liang 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 Gin‐Shuh Liang. Gin‐Shuh Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 18 | |
| 3 | 8 | |
| 4 | 90 | |
| 5 | 43 | |
| 6 | 9 | |
| 7 | 18 | |
| 8 | 10 | |
| 9 | 122 | |
| 10 | 77 | |
| 11 | 6 | |
| 12 | 45 | |
| 13 | 5 | |
| 14 | 79 | |
| 15 | 4 | |
| 16 | 0 | |
| 17 | 16 | |
| 18 | 57 | |
| 19 | 39 | |
| 20 | 49 |
About Gin‐Shuh Liang
Gin‐Shuh Liang is a scholar working on Management Science and Operations Research, Industrial and Manufacturing Engineering and Management of Technology and Innovation, having authored 56 papers that have together received 2.6k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (33 papers), Maritime Ports and Logistics (16 papers) and Fuzzy Systems and Optimization (12 papers). The work is most often cited by research in Management Science and Operations Research (1.5k citations), Industrial and Manufacturing Engineering (528 citations) and Management of Technology and Innovation (337 citations). Gin‐Shuh Liang has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Mao‐Jiun J. Wang, Ming-Shin Kuo, Ji‐Feng Ding, Tsung‐Yu Chou, Ching-Wu Chu, Tzeu-Chen Han, Wen-Chih Huang, Chien‐Chang Chou, Chun‐Chin Wei and Shu‐Fen Kan. Their work appears in journals such as European Journal of Operational Research, Expert Systems with Applications and Information 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.