Yi Bai

701 total citations · 1 hit paper
21 papers, 527 citations indexed

About

Yi Bai is a scholar working on Ecology, Plant Science and Environmental Engineering. According to data from OpenAlex, Yi Bai has authored 21 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Ecology, 11 papers in Plant Science and 8 papers in Environmental Engineering. Recurrent topics in Yi Bai's work include Remote Sensing in Agriculture (15 papers), Leaf Properties and Growth Measurement (7 papers) and Remote Sensing and LiDAR Applications (6 papers). Yi Bai is often cited by papers focused on Remote Sensing in Agriculture (15 papers), Leaf Properties and Growth Measurement (7 papers) and Remote Sensing and LiDAR Applications (6 papers). Yi Bai collaborates with scholars based in China, Mexico and Germany. Yi Bai's co-authors include Chenwei Nie, Minghan Cheng, Shuaibing Liu, Xun Yu, Mingchao Shao, Xiuliang Jin, Zixu Wang, Siyu Wang, Dameng Yin and Yadong Liu and has published in prestigious journals such as PLANT PHYSIOLOGY, International Journal of Remote Sensing and Ecological Indicators.

In The Last Decade

Yi Bai

20 papers receiving 513 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Estimation of soil moisture content under high maize canopy coverage from UAV multimodal data and machine learning

2022 129 citations Minghan Cheng, Xiyun Jiao et al. Agricultural Water Management profile →

Peers

Yi Bai

ECOLO

PS

EE

AC

AS

Shuaibing Liu China

Wanxue Zhu China

Xun Yu China

Ma. Luisa Buchaillot Spain

Renhai Zhong China

Mingchao Shao China

Danielle Elis Garcia Furuya Brazil

Alberto Crema Italy

Changwei Tan China

Liangsheng Shi China

Shuaibing Liu China

Yi Bai

358 ×1.0

ECOLO

296 ×1.0

PS

205 ×1.0

EE

76 ×1.0

AC

75 ×1.0

AS

Citations per year, relative to Yi Bai Yi Bai (= 1×) peers Shuaibing Liu

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-authorship network of co-authors of Yi Bai

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Liu, Yadong, Chenwei Nie, Liang Li, et al.. (2025). Maize tasseling date forecast from canopy height time series estimated by UAV LiDAR data. The Crop Journal. 13(3). 975–990. 1 indexed citations

2.

Bai, Yi, Ainong Li, Guangbin Lei, et al.. (2025). Identifying spatiotemporal dynamics and driving factors of landscape pattern in Giant Panda National Park (GPNP) using an interpretable machine learning technology. Ecological Indicators. 178. 114121–114121.

3.

Yu, Xun, Dameng Yin, Urs Schmidhalter, et al.. (2024). Maize tassel number and tasseling stage monitoring based on near-ground and UAV RGB images by improved YoloV8. Precision Agriculture. 25(4). 1800–1838. 15 indexed citations

4.

Shao, Mingchao, Chenwei Nie, Aijun Zhang, et al.. (2023). Quantifying effect of maize tassels on LAI estimation based on multispectral imagery and machine learning methods. Computers and Electronics in Agriculture. 211. 108029–108029. 16 indexed citations

5.

Jia, Xiao, Dameng Yin, Xun Yu, et al.. (2023). Monitoring Maize Leaf Spot Disease Using Multi-Source UAV Imagery. Drones. 7(11). 650–650. 4 indexed citations

6.

Meng, Lin, Dameng Yin, Minghan Cheng, et al.. (2023). Improved Crop Biomass Algorithm with Piecewise Function (iCBA-PF) for Maize Using Multi-Source UAV Data. Drones. 7(4). 254–254. 11 indexed citations

7.

Zhou, Lili, Chenwei Nie, Yang Song, et al.. (2023). Evaluating the Canopy Chlorophyll Density of Maize at the Whole Growth Stage Based on Multi-Scale UAV Image Feature Fusion and Machine Learning Methods. Agriculture. 13(4). 895–895. 21 indexed citations

8.

Bai, Yi, Liangsheng Shi, Yuanyuan Zha, et al.. (2023). Estimating leaf age of maize seedlings using UAV-based RGB and multispectral images. Computers and Electronics in Agriculture. 215. 108349–108349. 11 indexed citations

9.

Cheng, Minghan, Dameng Yin, Wenbin Wu, et al.. (2023). A review of remote sensing estimation of crop water productivity: definition, methodology, scale, and evaluation. International Journal of Remote Sensing. 44(16). 5033–5068. 9 indexed citations

10.

Liu, Shuaibing, Xiuliang Jin, Yi Bai, et al.. (2023). UAV multispectral images for accurate estimation of the maize LAI considering the effect of soil background. International Journal of Applied Earth Observation and Geoinformation. 121. 103383–103383. 48 indexed citations

11.

Cheng, Minghan, Chengming Sun, Chenwei Nie, et al.. (2023). Evaluation of UAV-based drought indices for crop water conditions monitoring: A case study of summer maize. Agricultural Water Management. 287. 108442–108442. 33 indexed citations

12.

Yu, Xun, Dameng Yin, Chenwei Nie, et al.. (2022). Maize tassel area dynamic monitoring based on near-ground and UAV RGB images by U-Net model. Computers and Electronics in Agriculture. 203. 107477–107477. 32 indexed citations

13.

Cheng, Minghan, Xiyun Jiao, Yadong Liu, et al.. (2022). Estimation of soil moisture content under high maize canopy coverage from UAV multimodal data and machine learning. Agricultural Water Management. 264. 107530–107530. 129 indexed citations breakdown →

14.

Bai, Yi, Chenwei Nie, Hongwu Wang, et al.. (2022). A fast and robust method for plant count in sunflower and maize at different seedling stages using high-resolution UAV RGB imagery. Precision Agriculture. 23(5). 1720–1742. 31 indexed citations

15.

Shao, Mingchao, Chenwei Nie, Minghan Cheng, et al.. (2021). Quantifying effect of tassels on near-ground maize canopy RGB images using deep learning segmentation algorithm. Precision Agriculture. 23(2). 400–418. 20 indexed citations

16.

Wang, Zixu, Chenwei Nie, Hongwu Wang, et al.. (2021). Detection and Analysis of Degree of Maize Lodging Using UAV-RGB Image Multi-Feature Factors and Various Classification Methods. ISPRS International Journal of Geo-Information. 10(5). 309–309. 17 indexed citations

17.

Liu, Shuaibing, Chenwei Nie, Siyu Wang, et al.. (2021). Estimating leaf area index using unmanned aerial vehicle data: shallow vs. deep machine learning algorithms. PLANT PHYSIOLOGY. 187(3). 1551–1576. 112 indexed citations

18.

Du, Yan‐Lei, et al.. (2020). COST AND BENEFIT ANALYSIS OF ORGANIC MULCHING AND INTERCROPPING IN MAIZE CULTIVATION. Applied Ecology and Environmental Research. 18(6). 7795–7812. 3 indexed citations

19.

Qin, Bangyu, Yue Gao, & Yi Bai. (2019). Sim-to-real: Six-legged Robot Control with Deep Reinforcement Learning and Curriculum Learning. 1–5. 10 indexed citations

20.

Bai, Yi, et al.. (2006). [Artificial neural network in the prediction of nosocomial infection risk].. PubMed. 31(3). 404–7. 1 indexed citations

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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