Ying Tu
- Global and Planetary Change top 5%
- Ecology top 10%
- Environmental Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Health, Toxicology and Mutagenesis top 10%
- Topics
- Land Use and Ecosystem Services (13 papers)Fluid Dynamics Simulations and Interactions (8 papers)Impact of Light on Environment and Health (6 papers)
- Journals
- Proceedings of the National Academy of SciencesEnvironmental Science & TechnologyEnvironment International
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ying Tu
37 papers receiving 772 citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Global and Planetary Change 381
- Ecology 151
- Environmental Engineering 133
- Computer Vision and Pattern Recognition 130
- Health, Toxicology and Mutagenesis 130
Countries citing papers authored by Ying Tu
This map shows the geographic impact of Ying Tu'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 Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Tu more than expected).
Fields of papers citing papers by Ying Tu
This network shows the impact of papers produced by Ying Tu. 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 Tu. The network helps show where Ying Tu may publish in the future.
Co-authorship network of co-authors of Ying Tu
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Tu. A scholar is included among the top collaborators of Ying Tu 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 Tu. Ying Tu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | A 30 m annual cropland dataset of China from 1986 to 2021breakdown → | 46 |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 67 | |
| 10 | 15 | |
| 11 | 19 | |
| 12 | 14 | |
| 13 | 18 | |
| 14 | Statistical Properties of Local Slamming Forces on a Jacket Structure in Offshore Wind Applications | 3 |
| 15 | 4 | |
| 16 | Influence of Superelement Support Structure Modeling on the Loads on an Offshore Wind Turbine with a Jacket Support Structure | 3 |
| 17 | 8 | |
| 18 | 1 | |
| 19 | 18 | |
| 20 | 107 |
About Ying Tu
Ying Tu is a scholar working on Transportation, Global and Planetary Change and Ocean Engineering, having authored 40 papers that have together received 791 indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (13 papers), Fluid Dynamics Simulations and Interactions (8 papers) and Impact of Light on Environment and Health (6 papers). The work is most often cited by research in Global and Planetary Change (381 citations), Transportation (79 citations) and Health, Toxicology and Mutagenesis (130 citations). Ying Tu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Han‐Wei Shen, Bing Xu, Бин Чэн, Peng Gong, Le Yu, Michael Muskulus, Tao Zhang, Shengbiao Wu, Yimeng Song and Qinchuan Xin. Their work appears in journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and Environment International.
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.