Mingchao Shao

608 total citations · 1 hit paper
13 papers, 450 citations indexed

About

Mingchao Shao is a scholar working on Ecology, Plant Science and Environmental Engineering. According to data from OpenAlex, Mingchao Shao has authored 13 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Ecology, 10 papers in Plant Science and 6 papers in Environmental Engineering. Recurrent topics in Mingchao Shao's work include Remote Sensing in Agriculture (11 papers), Smart Agriculture and AI (6 papers) and Leaf Properties and Growth Measurement (5 papers). Mingchao Shao is often cited by papers focused on Remote Sensing in Agriculture (11 papers), Smart Agriculture and AI (6 papers) and Leaf Properties and Growth Measurement (5 papers). Mingchao Shao collaborates with scholars based in China, Indonesia and Fiji. Mingchao Shao's co-authors include Minghan Cheng, Xun Yu, Chenwei Nie, Yi Bai, Shuaibing Liu, Zixu Wang, Siyu Wang, Xiuliang Jin, Xiyun Jiao and Yadong Liu and has published in prestigious journals such as PLANT PHYSIOLOGY, Frontiers in Plant Science and Computers and Electronics in Agriculture.

In The Last Decade

Mingchao Shao

12 papers receiving 443 citations

Hit Papers

align trajectories sort by overperformance

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 — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mingchao Shao China	10	279	250	179	91	58	13	450
Xun Yu China	12	314 1.1×	290 1.2×	202 1.1×	105 1.2×	78 1.3×	34	583
Matteo G. Ziliani Saudi Arabia	12	255 0.9×	285 1.1×	154 0.9×	139 1.5×	30 0.5×	18	522
Joel Segarra Spain	7	303 1.1×	229 0.9×	135 0.8×	122 1.3×	42 0.7×	20	502
Yi Bai China	12	359 1.3×	294 1.2×	205 1.1×	73 0.8×	79 1.4×	21	527
Ma. Luisa Buchaillot Spain	8	331 1.2×	316 1.3×	144 0.8×	102 1.1×	84 1.4×	22	588
Huiren Tian China	10	244 0.9×	227 0.9×	116 0.6×	82 0.9×	53 0.9×	12	439
Danielle Elis Garcia Furuya Brazil	10	335 1.2×	300 1.2×	190 1.1×	78 0.9×	107 1.8×	22	561
Alberto Crema Italy	9	357 1.3×	211 0.8×	170 0.9×	138 1.5×	42 0.7×	19	464
Yantong Wu China	6	293 1.1×	224 0.9×	117 0.7×	198 2.2×	34 0.6×	9	515
Liangsheng Shi China	9	397 1.4×	372 1.5×	173 1.0×	79 0.9×	93 1.6×	14	569

Countries citing papers authored by Mingchao Shao

Since Specialization

Citations

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

Fields of papers citing papers by Mingchao Shao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingchao Shao

This figure shows the co-authorship network connecting the top 25 collaborators of Mingchao Shao. A scholar is included among the top collaborators of Mingchao Shao 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 Mingchao Shao. Mingchao Shao 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:

13 of 13 papers shown

Wang, Yongxian, Mingchao Shao, Dong Zhou, et al.. (2025). A comprehensive review of proximal spectral sensing devices and diagnostic equipment for field crop growth monitoring. Precision Agriculture. 26(3). 6 indexed citations

Wang, Yongxian, Mingchao Shao, Xia Yao, et al.. (2024). Design and implementation of a portable snapshot multispectral imaging crop-growth sensor. Frontiers in Plant Science. 15. 1416221–1416221.

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

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

Li, Delin, Zixu Wang, Mingchao Shao, et al.. (2022). Estimation of soybean yield parameters under lodging conditions using RGB information from unmanned aerial vehicles. Frontiers in Plant Science. 13. 1012293–1012293. 19 indexed citations

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

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 →

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

Cheng, Minghan, Xiyun Jiao, Binbin Li, et al.. (2021). Long time series of daily evapotranspiration in China based on the SEBAL model and multisource images and validation. Earth system science data. 13(8). 3995–4017. 53 indexed citations

10.

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

11.

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

12.

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

13.

Shi, Yimeng, et al.. (2020). Analysis of Land Cover and Landscape Pattern Change in Beijing-Tianjin-Hebei Region Based on Globeland30 Data. Journal of Geographic Information System. 12(3). 241–255. 4 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.

Explore authors with similar magnitude of impact