Beibei Shen
Impact in
- Geochemistry and Petrology top 5%
- Groundwater and Isotope Geochemistry
- Ecology top 10%
- Remote Sensing in Agriculture
Papers in
- Ecology 20
- Remote Sensing in Agriculture 14
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- Land Use and Ecosystem Services 8
- Plant Water Relations and Carbon Dynamics 5
- Co-authors
- Jinglu Wu (14 shared papers)Dawei Xu (9 shared papers)Miao Jin (6 shared papers)Xiaoping Xin (9 shared papers)Zhenwang Li (9 shared papers)Jilili Abuduwaili (3 shared papers)Zhonghua Zhao (4 shared papers)Yuchun Yan (3 shared papers)
- Journals
- The Science of The Total Environment (6 papers)Agronomy (3 papers)Remote Sensing (3 papers)Brain and Behavior (2 papers)Ecological Indicators (2 papers)
- Partner nations
- ChinaUnited StatesMongolia
In The Last Decade
Beibei Shen
45 papers receiving 653 citations
Peers
Comparison fields: 5 of 81
- Geochemistry and Petrology 95
- Ecology 267
- Global and Planetary Change 220
- Environmental Engineering 144
- Ecological Modeling 38
Countries citing papers authored by Beibei Shen
This map shows the geographic impact of Beibei 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 Beibei Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beibei Shen more than expected).
Fields of papers citing papers by Beibei Shen
This network shows the impact of papers produced by Beibei 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 Beibei Shen. The network helps show where Beibei Shen may publish in the future.
Co-authors
The 25 scholars most cited alongside Beibei Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 83 | |
| 2 | 2021 | 51 | |
| 3 | 2021 | 47 | |
| 4 | 2019 | 43 | |
| 5 | 2021 | 40 | |
| 6 | 2021 | 37 | |
| 7 | 2021 | 34 | |
| 8 | 2024 | 30 | |
| 9 | 2017 | 29 | |
| 10 | 2018 | 24 | |
| 11 | 2019 | 21 | |
| 12 | 2022 | 18 | |
| 13 | 2016 | 18 | |
| 14 | 2018 | 15 | |
| 15 | 2022 | 14 | |
| 16 | 2023 | 12 | |
| 17 | 2022 | 10 | |
| 18 | 2016 | 9 | |
| 19 | 2018 | 9 | |
| 20 | 2019 | 8 |
About Beibei Shen
Beibei Shen is a scholar working on Ecology, Global and Planetary Change, Atmospheric Science, Health, Toxicology and Mutagenesis and Environmental Engineering, having authored 48 papers that have together received 664 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (14 papers), Land Use and Ecosystem Services (8 papers), Toxic Organic Pollutants Impact (7 papers), Geology and Paleoclimatology Research (5 papers), Environmental Toxicology and Ecotoxicology (5 papers), Plant Water Relations and Carbon Dynamics (5 papers), Groundwater and Isotope Geochemistry (4 papers) and Remote Sensing and LiDAR Applications (3 papers). The work is most often cited by research in Geochemistry and Petrology (95 citations), Ecology (267 citations), Global and Planetary Change (220 citations), Environmental Engineering (144 citations) and Ecological Modeling (38 citations). Beibei Shen has collaborated with scholars based in China, United States and Mongolia. Frequent co-authors include Jinglu Wu, Dawei Xu, Miao Jin, Xiaoping Xin, Zhenwang Li, Jilili Abuduwaili, Zhonghua Zhao, Yuchun Yan, Xiaoping Xin and Baorui Chen. Their work appears in journals such as The Science of The Total Environment, Agronomy, Remote Sensing, Brain and Behavior and Ecological Indicators.
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.