Ying Tu

2.2k total citations · 1 hit paper
40 papers, 791 citations indexed

About

Ying Tu is a scholar working on Global and Planetary Change, Ocean Engineering and Computational Mechanics. According to data from OpenAlex, Ying Tu has authored 40 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Global and Planetary Change, 8 papers in Ocean Engineering and 8 papers in Computational Mechanics. Recurrent topics in Ying Tu's 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). Ying Tu is often cited by papers focused on Land Use and Ecosystem Services (13 papers), Fluid Dynamics Simulations and Interactions (8 papers) and Impact of Light on Environment and Health (6 papers). Ying Tu collaborates with scholars based in China, United States and Hong Kong. Ying Tu's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and Environment International.

In The Last Decade

Ying Tu

37 papers receiving 772 citations

Hit Papers

A 30 m annual cropland dataset of China from 1986 to 2021 2024 2026 2025 2024 10 20 30 40
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A 30 m annual cropland dataset of China from 1986 to 2021
    2024 46 citations Ying Tu, Shengbiao Wu et al. Earth system science data profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ying Tu China 16 381 151 133 130 130 40 791
Chen Gao China 16 462 1.2× 83 0.5× 164 1.2× 118 0.9× 129 1.0× 35 771
Yanjun Wang China 16 252 0.7× 78 0.5× 362 2.7× 82 0.6× 73 0.6× 53 813
Weili Jiao China 14 287 0.8× 186 1.2× 174 1.3× 165 1.3× 43 0.3× 62 710
Mingyi Du China 19 374 1.0× 95 0.6× 294 2.2× 58 0.4× 139 1.1× 71 896
Zhaohui Xue China 12 141 0.4× 168 1.1× 208 1.6× 96 0.7× 145 1.1× 51 793
Masahiko Nagai Japan 17 390 1.0× 345 2.3× 303 2.3× 69 0.5× 53 0.4× 91 1.2k
Zhiqi Yang China 11 382 1.0× 129 0.9× 166 1.2× 33 0.3× 90 0.7× 28 597
Jingxiong Zhang China 12 245 0.6× 182 1.2× 209 1.6× 60 0.5× 18 0.1× 57 787
Xuesheng Zhao China 14 191 0.5× 68 0.5× 142 1.1× 54 0.4× 38 0.3× 90 592
Huihui Feng China 21 466 1.2× 132 0.9× 426 3.2× 159 1.2× 350 2.7× 67 1.3k

Countries citing papers authored by Ying Tu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Liao, Chuan, Jenny Kao‐Kniffin, Matthew C. Reid, et al.. (2025). Rice farming for climate change adaptation in the Northeastern United States. Proceedings of the National Academy of Sciences. 122(49). e2402181122–e2402181122. 1 indexed citations
2.
3.
Feng, J.C., Canfeng Fang, Ying Tu, et al.. (2025). Modification of detrimental π-Fe phase in Al-7Si-0.6Mg alloy. Journal of Material Science and Technology. 240. 313–322.
4.
Tu, Ying, Бин Чэн, Chuan Liao, et al.. (2025). Inequality in infrastructure access and its association with health disparities. Nature Human Behaviour. 9(8). 1669–1682. 6 indexed citations
5.
Tu, Ying, Shengbiao Wu, Бин Чэн, et al.. (2024). A 30 m annual cropland dataset of China from 1986 to 2021. Earth system science data. 16(5). 2297–2316. 46 indexed citations breakdown →
6.
Tu, Ying, et al.. (2024). Spatial patterns of urban expansion and cropland loss during 2017–2022 in Guangdong, China. Heliyon. 10(9). e30548–e30548. 2 indexed citations
7.
Hong, Wei, et al.. (2024). Built environments, communities, and housing price: A data-model integration approach. Applied Geography. 166. 103270–103270. 10 indexed citations
8.
Lu, Dali, et al.. (2023). Sexual orientation and psychotic-like experiences among Chinese college students: the role of gender. Frontiers in Psychiatry. 14. 1139484–1139484. 1 indexed citations
9.
Чэн, Бин, Ying Tu, Shengbiao Wu, et al.. (2022). Beyond green environments: Multi-scale difference in human exposure to greenspace in China. Environment International. 166. 107348–107348. 67 indexed citations
10.
Tu, Ying, Бин Чэн, Wei Lang, et al.. (2021). Uncovering the Nature of Urban Land Use Composition Using Multi-Source Open Big Data with Ensemble Learning. Remote Sensing. 13(21). 4241–4241. 15 indexed citations
11.
Tu, Ying, Hanlin Zhou, Wei Lang, et al.. (2020). A novel cross-sensor calibration method to generate a consistent night-time lights time series dataset. International Journal of Remote Sensing. 41(14). 5482–5502. 19 indexed citations
12.
Liu, Shengjie, et al.. (2018). Wide Contextual Residual Network with Active Learning for Remote Sensing Image Classification. 7145–7148. 14 indexed citations
13.
Tu, Ying, Zhengshun Cheng, & Michael Muskulus. (2017). A review of slamming load application to offshore wind turbines from an integrated perspective. Energy Procedia. 137. 346–357. 18 indexed citations
14.
Tu, Ying & Michael Muskulus. (2016). Statistical Properties of Local Slamming Forces on a Jacket Structure in Offshore Wind Applications. The 26th International Ocean and Polar Engineering Conference. 3 indexed citations
15.
Tu, Ying, Michael Muskulus, & Øivind A. Arntsen. (2015). Experimental Analysis of Slamming Load Characteristics for Truss Structures in Offshore Wind Applications. 2(3). 138–145. 4 indexed citations
16.
Tu, Ying & Fabian Vorpahl. (2014). Influence of Superelement Support Structure Modeling on the Loads on an Offshore Wind Turbine with a Jacket Support Structure. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 3 indexed citations
17.
Tu, Ying & Han‐Wei Shen. (2013). GraphCharter: Combining browsing with query to explore large semantic graphs. 12. 49–56. 8 indexed citations
18.
Wang, Xuezhi, et al.. (2012). Design and implementation of passive sonar system based on gigabit ethernet. 26. 972–976. 1 indexed citations
19.
Tu, Ying & Han‐Wei Shen. (2008). Balloon Focus: a Seamless Multi-Focus+Context Method for Treemaps. IEEE Transactions on Visualization and Computer Graphics. 14(6). 1157–1164. 18 indexed citations
20.
Tu, Ying & Han‐Wei Shen. (2007). Visualizing Changes of Hierarchical Data using Treemaps. IEEE Transactions on Visualization and Computer Graphics. 13(6). 1286–1293. 107 indexed citations

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.

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