Muyi Li

596 total citations · 1 hit paper
17 papers, 285 citations indexed

About

Muyi Li is a scholar working on Global and Planetary Change, Ecology and Electrical and Electronic Engineering. According to data from OpenAlex, Muyi Li has authored 17 papers receiving a total of 285 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Global and Planetary Change, 7 papers in Ecology and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Muyi Li's work include Remote Sensing in Agriculture (7 papers), Plant Water Relations and Carbon Dynamics (6 papers) and Land Use and Ecosystem Services (3 papers). Muyi Li is often cited by papers focused on Remote Sensing in Agriculture (7 papers), Plant Water Relations and Carbon Dynamics (6 papers) and Land Use and Ecosystem Services (3 papers). Muyi Li collaborates with scholars based in China, United States and Romania. Muyi Li's co-authors include Zaichun Zhu, Sen Cao, Ranga B. Myneni, Shilong Piao, Zhe Wang, Nan Li, Yaozhong Pan, Xiufang Zhu, Yaoyao Zheng and Yue Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing.

In The Last Decade

Muyi Li

15 papers receiving 279 citations

Hit Papers

Spatiotemporally consistent global dataset of the GIMMS N... 2023 2026 2024 2025 2023 25 50 75 100

Peers

Muyi Li
Hanyu Ren China
Yuzhe Li China
Kelcy Smith United States
Marceau Guérin United States
Hanyu Ren China
Muyi Li
Citations per year, relative to Muyi Li Muyi Li (= 1×) peers Hanyu Ren

Countries citing papers authored by Muyi Li

Since Specialization
Citations

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

Fields of papers citing papers by Muyi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Muyi Li

This figure shows the co-authorship network connecting the top 25 collaborators of Muyi Li. A scholar is included among the top collaborators of Muyi Li 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 Muyi Li. Muyi Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Li, Muyi, et al.. (2025). From welfare enterprises to broad tax incentives: Effects of employment policy changes on disabled in China. China Economic Review. 93. 102451–102451.
2.
Zhu, Zaichun, et al.. (2024). A global dataset of the fraction of absorbed photosynthetically active radiation for 1982–2022. Scientific Data. 11(1). 707–707. 3 indexed citations
3.
Cao, Sen, Muyi Li, Zaichun Zhu, et al.. (2023). Spatiotemporally consistent global dataset of the GIMMS leaf area index (GIMMS LAI4g) from 1982 to 2020. Earth system science data. 15(11). 4877–4899. 63 indexed citations
4.
Chen, Yue, Zaichun Zhu, Muyi Li, et al.. (2023). The direct and indirect effects of the environmental factors on global terrestrial gross primary productivity over the past four decades. Environmental Research Letters. 19(1). 14052–14052. 10 indexed citations
5.
Li, Muyi, Sen Cao, Zaichun Zhu, et al.. (2023). Spatiotemporally consistent global dataset of the GIMMS Normalized Difference Vegetation Index (PKU GIMMS NDVI) from 1982 to 2022. Earth system science data. 15(9). 4181–4203. 111 indexed citations breakdown →
6.
Feng, Tian, et al.. (2023). Satellite-observed increasing coupling between vegetation productivity and greenness in the semiarid Loess Plateau of China is not captured by process-based models. The Science of The Total Environment. 906. 167664–167664. 9 indexed citations
8.
Li, Muyi, Yang Xiang, Wenjun Liu, et al.. (2021). Ultrasensitive Determination of Dopamine and Uric Acid Based on Gold Nanoparticles@Carbon Dots/Electrochemical Reduced Graphene Oxide modified glassy carbon electrode. SHILAP Revista de lepidopterología. 16(8). 21084–21084. 7 indexed citations
10.
Pan, Yaozhong, et al.. (2020). Using NDVI Time Series Curve Change Rate to Estimate Winter Wheat Yield. 31. 5183–5186. 1 indexed citations
11.
Li, Muyi, Xiufang Zhu, Nan Li, & Yaozhong Pan. (2020). Gap-Filling of a MODIS Normalized Difference Snow Index Product Based on the Similar Pixel Selecting Algorithm: A Case Study on the Qinghai–Tibetan Plateau. Remote Sensing. 12(7). 1077–1077. 19 indexed citations
12.
Hu, Yan, Muyi Li, & Hai Hao. (2016). Development of a mathematical model and its application to the stress evolution of a multi-crystalline silicon billet during continuous casting. International Journal of Materials Research (formerly Zeitschrift fuer Metallkunde). 107(9). 790–800. 4 indexed citations
13.
Xia, Tian, et al.. (2015). Modeling and simulation of Battery Energy Storage System (BESS) used in power system. 2120–2125. 19 indexed citations
14.
Hu, Xuehao, et al.. (2014). The modulation and simulation of voltage source converter based on Half Bridge Sub Module. 37. 2047–2055. 1 indexed citations
17.
Li, Muyi, Huang Jian, & Xiaoguang Hu. (2010). Insulative condition monitoring of high voltage circuit breaker. 20. 94–98.

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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