Yongshuo H. Fu

14.9k total citations · 14 hit papers
171 papers, 10.6k citations indexed

About

Yongshuo H. Fu is a scholar working on Global and Planetary Change, Ecology and Atmospheric Science. According to data from OpenAlex, Yongshuo H. Fu has authored 171 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Global and Planetary Change, 102 papers in Ecology and 41 papers in Atmospheric Science. Recurrent topics in Yongshuo H. Fu's work include Remote Sensing in Agriculture (99 papers), Plant Water Relations and Carbon Dynamics (94 papers) and Species Distribution and Climate Change (39 papers). Yongshuo H. Fu is often cited by papers focused on Remote Sensing in Agriculture (99 papers), Plant Water Relations and Carbon Dynamics (94 papers) and Species Distribution and Climate Change (39 papers). Yongshuo H. Fu collaborates with scholars based in China, Belgium and United States. Yongshuo H. Fu's co-authors include Shilong Piao, Ivan A. Janssens, Josep Peñuelas, Yann Vitasse, Miaogen Shen, Qiang Liu, Anping Chen, Philippe Ciais, Mengtian Huang and Fanghua Hao and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Yongshuo H. Fu

162 papers receiving 10.4k citations

Hit Papers

Plant phenology and global climate change: Current prog... 2015 2026 2018 2022 2019 2015 2015 2016 2015 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongshuo H. Fu China 55 6.8k 5.9k 2.7k 2.3k 2.1k 171 10.6k
Miaogen Shen China 45 5.4k 0.8× 5.2k 0.9× 2.3k 0.9× 2.2k 0.9× 912 0.4× 120 8.5k
Mark D. Schwartz United States 42 4.1k 0.6× 3.9k 0.7× 2.9k 1.1× 1.5k 0.7× 1.4k 0.7× 93 8.1k
Mirco Migliavacca Germany 56 8.0k 1.2× 5.4k 0.9× 1.4k 0.5× 2.4k 1.0× 1.8k 0.8× 204 11.2k
Trevor F. Keenan United States 60 10.6k 1.6× 5.0k 0.8× 1.8k 0.7× 3.7k 1.6× 3.0k 1.4× 151 14.2k
Xiaoyang Zhang United States 52 7.0k 1.0× 7.7k 1.3× 2.7k 1.0× 2.5k 1.1× 1.2k 0.6× 179 11.3k
Jeffrey A. Hicke United States 44 7.5k 1.1× 6.1k 1.0× 733 0.3× 1.8k 0.8× 1.2k 0.6× 89 11.1k
Roberta E. Martin United States 57 4.1k 0.6× 6.4k 1.1× 2.1k 0.8× 939 0.4× 2.1k 1.0× 147 10.4k
Laerte Guimarães Ferreira Brazil 34 6.1k 0.9× 7.5k 1.3× 1.1k 0.4× 1.5k 0.7× 1.4k 0.6× 126 11.3k
Nicolas Viovy France 49 8.7k 1.3× 3.8k 0.6× 895 0.3× 3.6k 1.5× 1.5k 0.7× 154 11.5k
S. R. Saleska United States 60 8.1k 1.2× 5.1k 0.9× 717 0.3× 3.2k 1.4× 1.9k 0.9× 164 12.4k

Countries citing papers authored by Yongshuo H. Fu

Since Specialization
Citations

This map shows the geographic impact of Yongshuo H. Fu'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 Yongshuo H. Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongshuo H. Fu more than expected).

Fields of papers citing papers by Yongshuo H. Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yongshuo H. Fu. 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 Yongshuo H. Fu. The network helps show where Yongshuo H. Fu may publish in the future.

Co-authorship network of co-authors of Yongshuo H. Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Yongshuo H. Fu. A scholar is included among the top collaborators of Yongshuo H. Fu 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 Yongshuo H. Fu. Yongshuo H. Fu 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.
Guo, Yahui, Wei Zhou, Yongshuo H. Fu, et al.. (2025). SegNeXt-RCMSCA: An improved SegNeXt network for detecting winter wheat lodging from UAS RGB images. Smart Agricultural Technology. 12. 101230–101230. 2 indexed citations
2.
Wang, Yihang, Nan Cong, Yu Zhong, et al.. (2025). Impacts of cascade dam construction on riparian vegetation in an alpine region. Journal of Hydrology. 652. 132665–132665. 5 indexed citations
3.
Xie, Shubin, Jie Peng, Ying Sun, et al.. (2025). The Increased Effect of Spring Leaf Unfolding on Autumn Senescence in the Northern and Southern Hemispheres. Global Ecology and Biogeography. 34(12). 1 indexed citations
4.
Guo, Yahui, Yongshuo H. Fu, Shouzhi Chen, et al.. (2024). Predicting grain yield of maize using a new multispectral-based canopy volumetric vegetation index. Ecological Indicators. 166. 112295–112295. 8 indexed citations
5.
Zhang, Xuan, et al.. (2024). A deep data fusion-based reconstruction of water index time series for intermittent rivers and ephemeral streams monitoring. ISPRS Journal of Photogrammetry and Remote Sensing. 220. 339–353. 3 indexed citations
6.
Wang, Tao, Jinzhi Ding, Xiaoyi Wang, et al.. (2024). No slowdown of growing season extension with warming in a permafrost‐affected meadow on the Tibetan Plateau. Journal of Ecology. 112(8). 1774–1786. 4 indexed citations
7.
Tang, Jing, et al.. (2024). Air and Surface Temperatures Differently Drive Terrestrial Carbon and Water Cycles in the High Latitudes. Geophysical Research Letters. 51(19). 2 indexed citations
8.
Wang, Shuxin, et al.. (2023). Larger responses of trees’ leaf senescence to cooling than warming: Results from a climate manipulation experiment. Agricultural and Forest Meteorology. 339. 109568–109568. 9 indexed citations
9.
Sun, Cheng, et al.. (2023). Different trends of vegetation activity over northern extratropics during two multidecadal warming periods in the 20th century. Global and Planetary Change. 227. 104181–104181. 1 indexed citations
10.
Peng, Dailiang, Jing M. Chen, Ranga B. Myneni, et al.. (2023). Climate-driven land surface phenology advance is overestimated due to ignoring land cover changes. Environmental Research Letters. 18(4). 44045–44045. 12 indexed citations
11.
Fu, Yongshuo H., et al.. (2022). Soil moisture determines the effects of climate warming on spring phenology in grasslands. Agricultural and Forest Meteorology. 323. 109039–109039. 33 indexed citations
12.
Chen, Shouzhi, Yongshuo H. Fu, Zhaofei Wu, et al.. (2022). Informing the SWAT model with remote sensing detected vegetation phenology for improved modeling of ecohydrological processes. Journal of Hydrology. 616. 128817–128817. 44 indexed citations
13.
Gao, Shan, Eryuan Liang, Ruishun Liu, et al.. (2022). An earlier start of the thermal growing season enhances tree growth in cold humid areas but not in dry areas. Nature Ecology & Evolution. 6(4). 397–404. 142 indexed citations breakdown →
14.
Wu, Zhaofei, Shuxin Wang, Yongshuo H. Fu, et al.. (2022). Spatial Difference of Interactive Effect Between Temperature and Daylength on Ginkgo Budburst. Frontiers in Plant Science. 13. 887226–887226. 4 indexed citations
15.
Fu, Yongshuo H., Xuan Zhang, Shilong Piao, et al.. (2019). Daylength helps temperate deciduous trees to leaf‐out at the optimal time. Global Change Biology. 25(7). 2410–2418. 96 indexed citations
16.
Wu, Chaoyang, Xiaoyue Wang, Huanjiong Wang, et al.. (2019). Author Correction: Contrasting responses of autumn-leaf senescence to daytime and night-time warming. Nature Climate Change. 9(2). 177–177. 2 indexed citations
17.
Fu, Yongshuo H., Shilong Piao, Xuancheng Zhou, et al.. (2019). Short photoperiod reduces the temperature sensitivity of leaf‐out in saplings of Fagus sylvatica but not in horse chestnut. Global Change Biology. 25(5). 1696–1703. 72 indexed citations
18.
Fu, Yongshuo H., Xiaojun Geng, Fanghua Hao, et al.. (2019). Shortened temperature‐relevant period of spring leaf‐out in temperate‐zone trees. Global Change Biology. 25(12). 4282–4290. 21 indexed citations
19.
Liu, Qiang, Shilong Piao, Ivan A. Janssens, et al.. (2018). Extension of the growing season increases vegetation exposure to frost. Nature Communications. 9(1). 426–426. 261 indexed citations breakdown →
20.
Liu, Qiang, Yongshuo H. Fu, Zaichun Zhu, et al.. (2017). Delayed autumn phenology in the Northern Hemisphere is related to change in both climate and spring phenology. EGU General Assembly Conference Abstracts. 4322. 5 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026