Ruoque Shen

1.1k total citations · 1 hit paper
23 papers, 684 citations indexed

About

Ruoque Shen is a scholar working on Ecology, Global and Planetary Change and Plant Science. According to data from OpenAlex, Ruoque Shen has authored 23 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Ecology, 15 papers in Global and Planetary Change and 7 papers in Plant Science. Recurrent topics in Ruoque Shen's work include Remote Sensing in Agriculture (22 papers), Land Use and Ecosystem Services (8 papers) and Plant Water Relations and Carbon Dynamics (7 papers). Ruoque Shen is often cited by papers focused on Remote Sensing in Agriculture (22 papers), Land Use and Ecosystem Services (8 papers) and Plant Water Relations and Carbon Dynamics (7 papers). Ruoque Shen collaborates with scholars based in China, United States and Hong Kong. Ruoque Shen's co-authors include Wenping Yuan, Yi Zheng, Xiangqian Li, Shunlin Liang, Jing M. Chen, Yawen Wang, Li Zhang, Shuguang Liu, Weimin Ju and Jie Dong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Agricultural and Forest Meteorology and Remote Sensing.

In The Last Decade

Ruoque Shen

23 papers receiving 670 citations

Hit Papers

Improved estimate of global gross primary production for ... 2020 2026 2022 2024 2020 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruoque Shen China 11 426 375 167 159 103 23 684
Dan Cao China 15 297 0.7× 243 0.6× 107 0.6× 98 0.6× 100 1.0× 32 602
Mohsen Nabil Egypt 12 324 0.8× 332 0.9× 134 0.8× 86 0.5× 113 1.1× 23 590
Shouzhi Chen China 15 289 0.7× 417 1.1× 117 0.7× 208 1.3× 144 1.4× 30 639
Manuela Balzarolo Belgium 15 532 1.2× 423 1.1× 166 1.0× 144 0.9× 166 1.6× 35 728
Herman Eerens Belgium 12 543 1.3× 595 1.6× 161 1.0× 170 1.1× 232 2.3× 25 877
Jai Singh Parihar India 13 191 0.4× 223 0.6× 115 0.7× 89 0.6× 159 1.5× 24 477
Yuting Zhou China 8 424 1.0× 653 1.7× 327 2.0× 188 1.2× 240 2.3× 9 882
Eugénie Paul‐Limoges Switzerland 15 852 2.0× 536 1.4× 167 1.0× 222 1.4× 150 1.5× 24 1.0k
Zhanghua Xu China 11 256 0.6× 166 0.4× 78 0.5× 93 0.6× 95 0.9× 40 446
Lingtong Du China 12 571 1.3× 311 0.8× 166 1.0× 59 0.4× 109 1.1× 48 770

Countries citing papers authored by Ruoque Shen

Since Specialization
Citations

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

Fields of papers citing papers by Ruoque Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruoque Shen. 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 Ruoque Shen. The network helps show where Ruoque Shen may publish in the future.

Co-authorship network of co-authors of Ruoque Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Ruoque Shen. A scholar is included among the top collaborators of Ruoque Shen 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 Ruoque Shen. Ruoque Shen 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.
Shen, Ruoque, et al.. (2025). High Resolution Water Quality Dataset of Chinese Lakes and Reservoirs from 2000 to 2023. Scientific Data. 12(1). 572–572. 3 indexed citations
2.
Li, Xiangqian, Ruoque Shen, Wenfang Xu, et al.. (2025). Long-term reconstructed vegetation index dataset in China from fused MODIS and Landsat data. Scientific Data. 12(1). 152–152. 5 indexed citations
3.
Shen, Ruoque, Jiale Jiang, Xuebing Chen, et al.. (2025). A long-term paddy rice distribution dataset in Asia at a 30 m spatial resolution. Scientific Data. 12(1). 1052–1052. 2 indexed citations
4.
Shen, Ruoque, et al.. (2025). CCD-Rice: a long-term paddy rice distribution dataset in China at 30 m resolution. Earth system science data. 17(5). 2193–2216. 4 indexed citations
5.
Chen, Xuebing, et al.. (2024). A High-Resolution Distribution Dataset of Paddy Rice in India Based on Satellite Data. Remote Sensing. 16(17). 3180–3180. 4 indexed citations
6.
Lin, Shangrong, Xiaojuan Huang, Tao He, et al.. (2024). A 30-m gross primary production dataset from 2016 to 2020 in China. Scientific Data. 11(1). 1065–1065. 3 indexed citations
7.
Li, Yunfei, Ruoque Shen, Yi Zheng, et al.. (2024). Large-scale and high-resolution paddy rice intensity mapping using downscaling and phenology-based algorithms on Google Earth Engine. International Journal of Applied Earth Observation and Geoinformation. 128. 103725–103725. 8 indexed citations
8.
Shen, Ruoque, Xiangqian Li, Tao Ye, et al.. (2023). A twenty-year dataset of high-resolution maize distribution in China. Scientific Data. 10(1). 658–658. 43 indexed citations
9.
Xia, Jiangzhou, Xiaosheng Xia, Chen Yang, et al.. (2023). Reconstructing Long‐Term Forest Age of China by Combining Forest Inventories, Satellite‐Based Forest Age and Forest Cover Data Sets. Journal of Geophysical Research Biogeosciences. 128(7). 10 indexed citations
10.
Fu, Yangyang, Ruoque Shen, Jie Dong, et al.. (2023). Exploring the effects of training samples on the accuracy of crop mapping with machine learning algorithm. SHILAP Revista de lepidopterología. 7. 100081–100081. 23 indexed citations
11.
Xu, Wenfang, Wenping Yuan, Donghai Wu, et al.. (2023). Impacts of record-breaking compound heatwave and drought events in 2022 China on vegetation growth. Agricultural and Forest Meteorology. 344. 109799–109799. 69 indexed citations
12.
Shen, Ruoque, Jie Dong, Xuebing Chen, et al.. (2023). High-resolution distribution maps of single-season rice in China from 2017 to 2022. Earth system science data. 15(7). 3203–3222. 48 indexed citations
13.
Zhang, Xi, Ruoque Shen, Xiaolin Zhu, et al.. (2023). Sample-free automated mapping of double-season rice in China using Sentinel-1 SAR imagery. Frontiers in Environmental Science. 11. 9 indexed citations
14.
Shen, Ruoque, Jie Dong, Wei Han, et al.. (2023). A new method for classifying maize by combining the phenological information of multiple satellite-based spectral bands. Frontiers in Environmental Science. 10. 3 indexed citations
15.
Shen, Ruoque, Jie Dong, Wenping Yuan, et al.. (2022). A 30 m Resolution Distribution Map of Maize for China Based on Landsat and Sentinel Images. SHILAP Revista de lepidopterología. 2022. 38 indexed citations
16.
Zheng, Yi, Ruoque Shen, Ye Tao, et al.. (2021). High Resolution Distribution Dataset of Double-Season Paddy Rice in China. Remote Sensing. 13(22). 4609–4609. 64 indexed citations
17.
Shen, Ruoque, Xiuzhi Chen, Lei Chen, Bin He, & Wenping Yuan. (2021). Regional evaluation of satellite-based methods for identifying leaf unfolding date. ISPRS Journal of Photogrammetry and Remote Sensing. 175. 88–98. 12 indexed citations
18.
Shen, Ruoque, Haibo Lü, Wenping Yuan, Xiuzhi Chen, & Bin He. (2021). Regional evaluation of satellite‐based methods for identifying end of vegetation growing season. Remote Sensing in Ecology and Conservation. 7(4). 685–699. 11 indexed citations
19.
Zheng, Yi, Ruoque Shen, Yawen Wang, et al.. (2020). Improved estimate of global gross primary production for reproducing its long-term variation, 1982–2017. Earth system science data. 12(4). 2725–2746. 272 indexed citations breakdown →
20.
Zheng, Yi, Ruoque Shen, Yawen Wang, et al.. (2019). Improved estimate of global gross primary production for reproducing its long-term variation, 1982–2017. 30 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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