Miaogen Shen

12.0k total citations · 7 hit papers
120 papers, 8.5k citations indexed

About

Miaogen Shen is a scholar working on Ecology, Global and Planetary Change and Ecological Modeling. According to data from OpenAlex, Miaogen Shen has authored 120 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Ecology, 80 papers in Global and Planetary Change and 42 papers in Ecological Modeling. Recurrent topics in Miaogen Shen's work include Remote Sensing in Agriculture (88 papers), Plant Water Relations and Carbon Dynamics (50 papers) and Species Distribution and Climate Change (42 papers). Miaogen Shen is often cited by papers focused on Remote Sensing in Agriculture (88 papers), Plant Water Relations and Carbon Dynamics (50 papers) and Species Distribution and Climate Change (42 papers). Miaogen Shen collaborates with scholars based in China, United States and Japan. Miaogen Shen's co-authors include Shilong Piao, Jin Chen, Xiaolin Zhu, Nan Cong, Yanhong Tang, Yongshuo H. Fu, Gengxin Zhang, Ivan A. Janssens, Anping Chen and Ruyin Cao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Miaogen Shen

113 papers receiving 8.3k citations

Hit Papers

Plant phenology and global climate chan... 2011 2026 2016 2021 2019 2015 2015 2015 2011 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
Miaogen Shen China 45 5.4k 5.2k 2.3k 2.2k 1.5k 120 8.5k
Mirco Migliavacca Germany 56 8.0k 1.5× 5.4k 1.0× 1.4k 0.6× 2.4k 1.1× 1.9k 1.2× 204 11.2k
Xiaoyang Zhang United States 52 7.0k 1.3× 7.7k 1.5× 2.7k 1.2× 2.5k 1.1× 3.5k 2.4× 179 11.3k
Yongshuo H. Fu China 55 6.8k 1.3× 5.9k 1.1× 2.7k 1.1× 2.3k 1.1× 1.3k 0.9× 171 10.6k
Kamel Didan United States 22 5.7k 1.0× 7.0k 1.3× 1.2k 0.5× 1.7k 0.7× 3.1k 2.1× 50 9.4k
Bradley C. Reed United States 25 5.3k 1.0× 5.7k 1.1× 1.7k 0.7× 2.2k 1.0× 2.1k 1.4× 42 8.4k
B. H. Braswell United States 44 5.7k 1.1× 4.4k 0.8× 1.1k 0.5× 2.1k 0.9× 1.8k 1.2× 69 9.1k
Tomoaki Miura United States 23 5.0k 0.9× 6.6k 1.3× 1.1k 0.5× 1.6k 0.7× 3.2k 2.2× 85 8.8k
Nicolas Viovy France 49 8.7k 1.6× 3.8k 0.7× 895 0.4× 3.6k 1.6× 1.2k 0.8× 154 11.5k
Scott V. Ollinger United States 45 4.7k 0.9× 4.8k 0.9× 1.1k 0.5× 1.5k 0.7× 1.8k 1.2× 105 9.8k
Youngryel Ryu South Korea 44 6.2k 1.1× 5.2k 1.0× 954 0.4× 1.3k 0.6× 2.3k 1.5× 119 8.7k

Countries citing papers authored by Miaogen Shen

Since Specialization
Citations

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

Fields of papers citing papers by Miaogen Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miaogen Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Miaogen Shen. A scholar is included among the top collaborators of Miaogen 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 Miaogen Shen. Miaogen 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, Miaogen, Lin Qi, Li Zhang, et al.. (2025). Dual-Responsive Hybrid Microgels Enabling Phase Inversion in Pickering Emulsions. Polymers. 17(20). 2762–2762.
2.
Wu, Shiyuan, Miaogen Shen, Bo Fang, et al.. (2025). Emerging evidence for delaying effect of winter warming on green-up onset in alpine grasslands on the Tibetan Plateau. Agricultural and Forest Meteorology. 369. 110586–110586.
3.
Wang, Weiyi, Ruyin Cao, Licong Liu, et al.. (2025). An Improved Spatiotemporal Savitzky–Golay (iSTSG) Method to Improve the Quality of Vegetation Index Time-Series Data on the Google Earth Engine. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–17.
4.
Shen, Miaogen, Nan Jiang, Ruyin Cao, et al.. (2024). Challenges in remote sensing of vegetation phenology. PolyU Institutional Research Archive (Hong Kong Polytechnic University). 2(2). 100070–100070. 19 indexed citations
5.
An, Shuai, Xiaoqiu Chen, Xuhui Wang, et al.. (2024). Long-term species-level observations indicate the critical role of soil moisture in regulating China's grassland productivity relative to phenological and climatic factors. The Science of The Total Environment. 929. 172553–172553. 7 indexed citations
6.
Yang, Wei, Miaogen Shen, Eryuan Liang, et al.. (2024). Winter greening on the Tibetan Plateau induced by climate warming over 2000-2021. Forest Ecology and Management. 558. 121796–121796. 3 indexed citations
7.
Cao, Ruyin, Licong Liu, Xiaolin Zhu, et al.. (2024). A spatiotemporal shape model fitting method for within-season crop phenology detection. ISPRS Journal of Photogrammetry and Remote Sensing. 217. 179–198. 10 indexed citations
8.
Shen, Miaogen, et al.. (2023). Daytime warming strengthened delaying effect of precipitation on end of the vegetation growing season on the Tibetan Plateau. The Science of The Total Environment. 892. 164382–164382. 4 indexed citations
9.
Liu, Licong, Jin Chen, Miaogen Shen, et al.. (2023). A remote sensing method for mapping alpine grasslines based on graph‐cut. Global Change Biology. 30(1). e17005–e17005. 4 indexed citations
10.
Li, Shihua, Ying‐Ping Wang, Philippe Ciais, et al.. (2022). Deficiencies of Phenology Models in Simulating Spatial and Temporal Variations in Temperate Spring Leaf Phenology. Journal of Geophysical Research Biogeosciences. 127(3). 10 indexed citations
11.
Shen, Miaogen, Nan Jiang, Dailiang Peng, et al.. (2020). Can changes in autumn phenology facilitate earlier green-up date of northern vegetation?. Agricultural and Forest Meteorology. 291. 108077–108077. 56 indexed citations
12.
Chen, Xuehong, Wenqing Wang, Jin Chen, et al.. (2020). Does any phenological event defined by remote sensing deserve particular attention? An examination of spring phenology of winter wheat in Northern China. Ecological Indicators. 116. 106456–106456. 28 indexed citations
13.
Huang, Qingxu, Ziwen Liu, Chunyang He, et al.. (2020). The occupation of cropland by global urban expansion from 1992 to 2016 and its implications. Environmental Research Letters. 15(8). 84037–84037. 103 indexed citations
14.
Wang, Yan, Dailiang Peng, Miaogen Shen, et al.. (2020). Contrasting Effects of Temperature and Precipitation on Vegetation Greenness along Elevation Gradients of the Tibetan Plateau. Remote Sensing. 12(17). 2751–2751. 37 indexed citations
15.
Tian, Jiaqi, Xiaolin Zhu, Jin Wu, Miaogen Shen, & Jin Chen. (2020). Coarse-Resolution Satellite Images Overestimate Urbanization Effects on Vegetation Spring Phenology. Remote Sensing. 12(1). 117–117. 41 indexed citations
16.
Chen, Yang, Ruyin Cao, Jin Chen, et al.. (2020). A New Cross-Fusion Method to Automatically Determine the Optimal Input Image Pairs for NDVI Spatiotemporal Data Fusion. IEEE Transactions on Geoscience and Remote Sensing. 58(7). 5179–5194. 34 indexed citations
17.
Yang, Wei, Hideki Kobayashi, Cong Wang, et al.. (2019). A semi-analytical snow-free vegetation index for improving estimation of plant phenology in tundra and grassland ecosystems. Remote Sensing of Environment. 228. 31–44. 53 indexed citations
18.
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
19.
Cao, Ruyin, Yang Chen, Miaogen Shen, et al.. (2018). A simple method to improve the quality of NDVI time-series data by integrating spatiotemporal information with the Savitzky-Golay filter. Remote Sensing of Environment. 217. 244–257. 239 indexed citations
20.
Wu, Chaoyang, Xiaoyue Wang, Huanjiong Wang, et al.. (2018). Contrasting responses of autumn-leaf senescence to daytime and night-time warming. Nature Climate Change. 8(12). 1092–1096. 196 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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