Ying-Ming Wang
- Management Science and Operations Research top 0.5%
- Artificial Intelligence top 5%
- Control and Systems Engineering top 5%
- Genetics top 10%
- Statistics, Probability and Uncertainty top 2%
- Topics
- Venomous Animal Envenomation and Studies (6 papers)Ion channel regulation and function (5 papers)Multi-Criteria Decision Making (5 papers)
- Cited by
- Management Science and Operations ResearchStatistics, Probability and UncertaintyStatistics and Probability
- Partner nations
- United KingdomTaiwanChina
In The Last Decade
Ying-Ming Wang
12 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Management Science and Operations Research 895
- Artificial Intelligence 301
- Control and Systems Engineering 261
- Genetics 197
- Statistics, Probability and Uncertainty 154
Countries citing papers authored by Ying-Ming Wang
This map shows the geographic impact of Ying-Ming Wang'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 Ying-Ming Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying-Ming Wang more than expected).
Fields of papers citing papers by Ying-Ming Wang
This network shows the impact of papers produced by Ying-Ming Wang. 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 Ying-Ming Wang. The network helps show where Ying-Ming Wang may publish in the future.
Co-authorship network of co-authors of Ying-Ming Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Ying-Ming Wang. A scholar is included among the top collaborators of Ying-Ming Wang 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 Ying-Ming Wang. Ying-Ming Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 19 | |
| 3 | 9 | |
| 4 | 14 | |
| 5 | 174 | |
| 6 | Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessmentbreakdown → | 694 |
| 7 | 408 | |
| 8 | 71 | |
| 9 | 101 | |
| 10 | 44 | |
| 11 | 50 | |
| 12 | 21 |
About Ying-Ming Wang
Ying-Ming Wang is a scholar working on Statistics, Probability and Uncertainty, Management Science and Operations Research and Paleontology, having authored 12 papers that have together received 1.6k indexed citations. Recurring topics across this work include Venomous Animal Envenomation and Studies (6 papers), Ion channel regulation and function (5 papers) and Multi-Criteria Decision Making (5 papers). The work is most often cited by research in Management Science and Operations Research (895 citations), Statistics, Probability and Uncertainty (154 citations) and Statistics and Probability (141 citations). Ying-Ming Wang has collaborated with scholars based in United Kingdom, Taiwan and China. Frequent co-authors include Taha Elhag, Dong‐Ling Xu, Jian-Bo Yang, Inn‐Ho Tsai, Jun Liu, Jian‐Bo Yang, Jin Wang, Tein‐Shun Tsai, Ming‐Chung Tu and Yi‐Hsuan Chen. Their work appears in journals such as Journal of Cleaner Production, Biochemical Journal and European Journal of Operational Research.
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.