Yi Bai

701 citations
21 papers · 527 · 1 hit paper · h-index 12

Impact in

Papers in

    • Remote Sensing in Agriculture 15
    • Leaf Properties and Growth Measurement 7
    • Smart Agriculture and AI 5

Yi Bai

20 papers receiving 513 citations

Yi Bai's Hit Papers

Estimation of soil moisture content under high maize canopy coverage from UAV multimodal data and machine learning 2022 · 129 citations
1290+1+2Years since publication4080120

Peers

Yi Bai
Comparison fields: 5 of 48
  • Environmental Engineering 205
  • Ecology 359
  • Analytical Chemistry 79
  • Plant Science 294
  • Atmospheric Science 74
Replace Shuaibing Liu with:
Shuaibing Liu China
Wanxue Zhu China
Xun Yu China
Mingchao Shao China
Danielle Elis Garcia Furuya Brazil
Ma. Luisa Buchaillot Spain
Changwei Tan China
Liangsheng Shi China
Luís Guilherme Teixeira Crusiol Brazil
Ze Zhang China
Yi Bai relative to Shuaibing Liu China Shuaibing Liu's profile →
Citations per field
00.5×1.5×
Shuaibing Liu · 1×
Citations per year

Countries citing papers authored by Yi Bai

Since Specialization
Citations

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

Fields of papers citing papers by Yi Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yi Bai, 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 Yi Bai Line = papers co-authored together Yi Bai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Estimation of soil moisture content under high maize canopy coverage from UAV multimodal data and machine learning
Hit paper breakdown →
2022129
2 2021112
3 202348
4 202333
5 202232
6 202231
7 202321
8 202120
9 202117
10 202316
11 202415
12 202311
13 202311
14 201910
15 20239
16 20234
17 20203
18 20223
19 20251
20
[Artificial neural network in the prediction of nosocomial infection risk].
20061

About Yi Bai

Yi Bai is a scholar working on Ecology, Plant Science, Environmental Engineering, Global and Planetary Change and Agronomy and Crop Science, having authored 21 papers that have together received 527 indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (15 papers), Leaf Properties and Growth Measurement (7 papers), Remote Sensing and LiDAR Applications (6 papers), Smart Agriculture and AI (5 papers), Plant Water Relations and Carbon Dynamics (3 papers), Land Use and Ecosystem Services (3 papers), Hydrology and Drought Analysis (2 papers) and Soil Geostatistics and Mapping (2 papers). The work is most often cited by research in Environmental Engineering (205 citations), Ecology (359 citations), Analytical Chemistry (79 citations), Plant Science (294 citations) and Atmospheric Science (74 citations). Yi Bai has collaborated with scholars based in China, Mexico and Germany. Frequent co-authors include Chenwei Nie, Minghan Cheng, Shuaibing Liu, Xun Yu, Mingchao Shao, Xiuliang Jin, Siyu Wang, Zixu Wang, Dameng Yin and Yadong Liu. Their work appears in journals such as Computers and Electronics in Agriculture, Precision Agriculture, Agricultural Water Management, Drones and PLANT PHYSIOLOGY.

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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