Mei Yu
- Ecology top 1%
- Global and Planetary Change top 2%
- Plant Science top 2%
- Health, Toxicology and Mutagenesis top 2%
- Environmental Engineering top 2%
- Co-authors
- Yichun XieZongyao ShaXiao‐Jun LuoQiong GaoHong‐Wei XueBixian MaiChao WangXu Chen
- Topics
- Remote Sensing in Agriculture (17 papers)Land Use and Ecosystem Services (16 papers)Plant Water Relations and Carbon Dynamics (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Geophysical Research AtmospheresPLoS ONE
- Partner nations
- ChinaPuerto RicoUnited States
In The Last Decade
Mei Yu
83 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Ecology 1.3k
- Global and Planetary Change 1.2k
- Plant Science 1.1k
- Health, Toxicology and Mutagenesis 554
- Environmental Engineering 552
Countries citing papers authored by Mei Yu
This map shows the geographic impact of Mei Yu'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 Mei Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei Yu more than expected).
Fields of papers citing papers by Mei Yu
This network shows the impact of papers produced by Mei Yu. 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 Mei Yu. The network helps show where Mei Yu may publish in the future.
Co-authorship network of co-authors of Mei Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Mei Yu. A scholar is included among the top collaborators of Mei Yu 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 Mei Yu. Mei Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 10 | |
| 8 | 11 | |
| 9 | 3 | |
| 10 | 16 | |
| 11 | 51 | |
| 12 | 36 | |
| 13 | 70 | |
| 14 | 6 | |
| 15 | Shrubs proliferated within a six-year exclosure in a temperate grassland - spatiotemporal relationships between vegetation and soil variables. | 2 |
| 16 | 37 | |
| 17 | Effects of different mulched drip irrigation modes on soil moisture and cotton yield. | 1 |
| 18 | 62 | |
| 19 | Remote sensing imagery in vegetation mapping: a reviewbreakdown → | 997 |
| 20 | 50 |
About Mei Yu
Mei Yu is a scholar working on Global and Planetary Change, Nature and Landscape Conservation and Ecology, having authored 88 papers that have together received 3.7k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (17 papers), Land Use and Ecosystem Services (16 papers) and Plant Water Relations and Carbon Dynamics (13 papers). The work is most often cited by research in Ecological Modeling (240 citations), Global and Planetary Change (1.2k citations) and Ecology (1.3k citations). Mei Yu has collaborated with scholars based in China, Puerto Rico and United States. Frequent co-authors include Yichun Xie, Zongyao Sha, Xiao‐Jun Luo, Qiong Gao, Qiong Gao, Hong‐Wei Xue, Bixian Mai, Chao Wang, Xu Chen and Yongfei Bai. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and PLoS ONE.
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.