Bei Cui

522 citations
32 papers · 429 · h-index 10

Impact in

Papers in

    • Remote Sensing in Agriculture 17
    • Leaf Properties and Growth Measurement 6
    • Smart Agriculture and AI 6
    • Date Palm Research Studies 4

Bei Cui

29 papers receiving 417 citations

Peers

Bei Cui
Comparison fields: 5 of 67
  • Ecology 278
  • Analytical Chemistry 78
  • Environmental Engineering 103
  • Plant Science 262
  • Global and Planetary Change 61
Replace Xinfeng Yao with:
Xinfeng Yao China
Gopal Krishna India
Yi Ma China
Nathalie Vigneau France
Ronit Rud Israel
Yumiko Kanke United States
Jingbo Li China
Tyler J. Nigon United States
Shaoyu Han China
Guangman Song Japan
Bei Cui relative to Xinfeng Yao China Xinfeng Yao's profile →
Citations per field
00.5×2×2.7×
Xinfeng Yao · 1×
Citations per year

Countries citing papers authored by Bei Cui

Since Specialization
Citations

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

Fields of papers citing papers by Bei Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bei Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Bei Cui Line = papers co-authored together Bei Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020106
2 201990
3 202043
4 201832
5 201924
6 201723
7 202218
8 202117
9 201917
10 202010
11 202110
12 20225
13 20204
14 20213
15
[Winter wheat GPC estimation based on leaf and canopy chlorophyll parameters].
20143
16 20193
17 20203
18 20212
19 20162
20 20122

About Bei Cui

Bei Cui is a scholar working on Ecology, Plant Science, Environmental Engineering, Atmospheric Science and Global and Planetary Change, having authored 32 papers that have together received 429 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (17 papers), Leaf Properties and Growth Measurement (6 papers), Remote Sensing and Land Use (6 papers), Smart Agriculture and AI (6 papers), Land Use and Ecosystem Services (4 papers), Date Palm Research Studies (4 papers), Soil Geostatistics and Mapping (3 papers) and Remote Sensing and LiDAR Applications (3 papers). The work is most often cited by research in Ecology (278 citations), Analytical Chemistry (78 citations), Environmental Engineering (103 citations), Plant Science (262 citations) and Global and Planetary Change (61 citations). Bei Cui has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Huichun Ye, Wenjiang Huang, Xiaoyu Song, Shanyu Huang, Yingying Dong, Yu Jin, Yu Ren, Xianfeng Zhou, Anting Guo and Qianjun Zhao. Their work appears in journals such as Remote Sensing, Agronomy, Journal of Integrative Agriculture, Journal of Cosmetic Dermatology and International Review of Finance.

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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