Ling‐Xiang Mao
- Management Science and Operations Research top 1%
- Statistics, Probability and Uncertainty top 2%
- Management of Technology and Innovation top 5%
- Control and Systems Engineering top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- Hu‐Chen LiuLong LiuNan LiuZhiying ZhangPing LiQinglian LinJiangtao QinJia Huang
- Topics
- Multi-Criteria Decision Making (10 papers)Quality Function Deployment in Product Design (6 papers)Optimization and Mathematical Programming (3 papers)
- Cited by
- Management Science and Operations ResearchStatistics, Probability and UncertaintyManagement of Technology and Innovation
- Journals
- Expert Systems with ApplicationsSustainabilityIEEE Transactions on Systems Man and Cybernetics Systems
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Ling‐Xiang Mao
14 papers receiving 654 citations
Peers
Comparison fields: 5 of 97
- Management Science and Operations Research 396
- Statistics, Probability and Uncertainty 149
- Management of Technology and Innovation 116
- Control and Systems Engineering 101
- Computational Theory and Mathematics 99
Countries citing papers authored by Ling‐Xiang Mao
This map shows the geographic impact of Ling‐Xiang Mao'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 Ling‐Xiang Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling‐Xiang Mao more than expected).
Fields of papers citing papers by Ling‐Xiang Mao
This network shows the impact of papers produced by Ling‐Xiang Mao. 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 Ling‐Xiang Mao. The network helps show where Ling‐Xiang Mao may publish in the future.
Co-authorship network of co-authors of Ling‐Xiang Mao
This figure shows the co-authorship network connecting the top 25 collaborators of Ling‐Xiang Mao. A scholar is included among the top collaborators of Ling‐Xiang Mao 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 Ling‐Xiang Mao. Ling‐Xiang Mao 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 | 3 | |
| 3 | 24 | |
| 4 | 13 | |
| 5 | 9 | |
| 6 | 6 | |
| 7 | 37 | |
| 8 | 21 | |
| 9 | 38 | |
| 10 | 1 | |
| 11 | 56 | |
| 12 | 87 | |
| 13 | 70 | |
| 14 | 299 |
About Ling‐Xiang Mao
Ling‐Xiang Mao is a scholar working on Management of Technology and Innovation, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 14 papers that have together received 667 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (10 papers), Quality Function Deployment in Product Design (6 papers) and Optimization and Mathematical Programming (3 papers). The work is most often cited by research in Management Science and Operations Research (396 citations), Statistics, Probability and Uncertainty (149 citations) and Management of Technology and Innovation (116 citations). Ling‐Xiang Mao has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Hu‐Chen Liu, Long Liu, Nan Liu, Zhiying Zhang, Ping Li, Qinglian Lin, Jiangtao Qin, Jia Huang, Ling Zhang and Yao Chen. Their work appears in journals such as Expert Systems with Applications, Sustainability and IEEE Transactions on Systems Man and Cybernetics Systems.
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.