Yingyu Wu
Impact in
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- Multi-Criteria Decision Making
- Statistics and Probability top 5%
- Fuzzy Systems and Optimization
Papers in
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- Muscle Physiology and Disorders 5
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- Sustainable Supply Chain Management 5
- Co-authors
- Dejian Yu (3 shared papers)Ting Lu (1 shared paper)Chong Guo (7 shared papers)Yalin Jiang (6 shared papers)Xiaorong He (4 shared papers)Marta E. Alarcón‐Riquelme (5 shared papers)José M. Merigó (1 shared paper)Casimiro Castillejo-López (2 shared papers)
- Journals
- The Journal of Immunology (4 papers)Environmental Science and Pollution Research (2 papers)PLoS ONE (2 papers)International Journal of Environmental Research and Public Health (1 paper)Frontiers in Psychology (1 paper)
- Partner nations
- ChinaUnited StatesSpain
In The Last Decade
Yingyu Wu
52 papers receiving 818 citations
Peers
Comparison fields: 5 of 130
- Management Science and Operations Research 257
- Statistics and Probability 88
- Immunology 184
- Marketing 74
- Strategy and Management 102
Countries citing papers authored by Yingyu Wu
This map shows the geographic impact of Yingyu Wu'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 Yingyu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingyu Wu more than expected).
Fields of papers citing papers by Yingyu Wu
This network shows the impact of papers produced by Yingyu Wu. 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 Yingyu Wu. The network helps show where Yingyu Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingyu Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 171 | |
| 2 | 2017 | 86 | |
| 3 | 2005 | 53 | |
| 4 | 2011 | 46 | |
| 5 | 2022 | 45 | |
| 6 | 2015 | 37 | |
| 7 | 2013 | 34 | |
| 8 | 2023 | 33 | |
| 9 | 2021 | 31 | |
| 10 | 2016 | 29 | |
| 11 | 2021 | 28 | |
| 12 | 2013 | 25 | |
| 13 | 2021 | 20 | |
| 14 | 2020 | 15 | |
| 15 | 2019 | 12 | |
| 16 | 2016 | 12 | |
| 17 | 2011 | 12 | |
| 18 | 2023 | 12 | |
| 19 | 2004 | 11 | |
| 20 | 2017 | 9 |
About Yingyu Wu
Yingyu Wu is a scholar working on Molecular Biology, Strategy and Management, Economics and Econometrics, Marketing and Management Science and Operations Research, having authored 58 papers that have together received 837 indexed citations. Recurring topics across this work include Environmental Sustainability in Business (8 papers), Energy, Environment, Economic Growth (8 papers), Multi-Criteria Decision Making (7 papers), Sustainable Supply Chain Management (5 papers), Immune Cell Function and Interaction (5 papers), Neurogenetic and Muscular Disorders Research (5 papers), Muscle Physiology and Disorders (5 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Management Science and Operations Research (257 citations), Statistics and Probability (88 citations), Immunology (184 citations), Marketing (74 citations) and Strategy and Management (102 citations). Yingyu Wu has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Dejian Yu, Ting Lu, Chong Guo, Yalin Jiang, Xiaorong He, Marta E. Alarcón‐Riquelme, José M. Merigó, Casimiro Castillejo-López, Ramesh Kumar and Ming‐Zong Lai. Their work appears in journals such as The Journal of Immunology, Environmental Science and Pollution Research, PLoS ONE, International Journal of Environmental Research and Public Health and Frontiers in Psychology.
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.