Minghan Cheng

1.1k total citations · 1 hit paper
34 papers, 825 citations indexed

About

Minghan Cheng is a scholar working on Ecology, Environmental Engineering and Plant Science. According to data from OpenAlex, Minghan Cheng has authored 34 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Ecology, 15 papers in Environmental Engineering and 14 papers in Plant Science. Recurrent topics in Minghan Cheng's work include Remote Sensing in Agriculture (24 papers), Plant Water Relations and Carbon Dynamics (11 papers) and Remote Sensing and LiDAR Applications (9 papers). Minghan Cheng is often cited by papers focused on Remote Sensing in Agriculture (24 papers), Plant Water Relations and Carbon Dynamics (11 papers) and Remote Sensing and LiDAR Applications (9 papers). Minghan Cheng collaborates with scholars based in China, Spain and Saudi Arabia. Minghan Cheng's co-authors include Xiuliang Jin, Xiyun Jiao, Chenwei Nie, Xun Yu, Mingchao Shao, Yi Bai, Shuaibing Liu, Lei Shi, Zixu Wang and Siyu Wang and has published in prestigious journals such as PLANT PHYSIOLOGY, Frontiers in Plant Science and International Journal of Remote Sensing.

In The Last Decade

Minghan Cheng

34 papers receiving 806 citations

Hit Papers

Estimation of soil moisture content under high maize cano... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minghan Cheng China 14 477 366 294 239 112 34 825
Jie Dong China 15 479 1.0× 234 0.6× 138 0.5× 271 1.1× 197 1.8× 33 780
Qingling Wu China 6 425 0.9× 297 0.8× 164 0.6× 282 1.2× 125 1.1× 8 705
Jichong Han China 13 617 1.3× 507 1.4× 171 0.6× 259 1.1× 180 1.6× 29 990
K. R. Manjunath India 19 560 1.2× 250 0.7× 222 0.8× 267 1.1× 235 2.1× 46 966
Jihua Meng China 18 736 1.5× 324 0.9× 329 1.1× 463 1.9× 226 2.0× 47 1.1k
Yanghui Kang United States 12 519 1.1× 395 1.1× 200 0.7× 281 1.2× 95 0.8× 14 810
Jingfeng Huang China 9 470 1.0× 291 0.8× 210 0.7× 186 0.8× 174 1.6× 18 833
Rangaswamy Madugundu Saudi Arabia 14 269 0.6× 241 0.7× 198 0.7× 210 0.9× 44 0.4× 48 636
Abdelraouf M. Ali Egypt 13 274 0.6× 214 0.6× 235 0.8× 152 0.6× 66 0.6× 38 634

Countries citing papers authored by Minghan Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Minghan Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minghan Cheng

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

All Works

20 of 20 papers shown
1.
Cheng, Minghan, Xiuliang Jin, Chenwei Nie, et al.. (2025). Remote sensing-based maize growth process parameters revel the maize yield: a comparison of field- and regional-scale. BMC Plant Biology. 25(1). 154–154. 2 indexed citations
2.
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
3.
Cheng, Minghan, Josep Peñuelas, Matthew F. McCabe, et al.. (2025). A framework of crop water productivity estimation from UAV observations: A case study of summer maize. Agricultural Water Management. 317. 109621–109621. 1 indexed citations
6.
Zain, Muhammad, et al.. (2024). Estimation of Rice Protein Content Based on Unmanned Aerial Vehicle Hyperspectral Imaging. Agronomy. 14(11). 2479–2479. 2 indexed citations
7.
Fan, Kuang–Chao, Lin Meng, Chenwei Nie, et al.. (2024). Synergistic use of stay-green traits and UAV multispectral information in improving maize yield estimation with the random forest regression algorithm. Computers and Electronics in Agriculture. 229. 109724–109724. 8 indexed citations
8.
Liu, Zhangxin, Haoran Ju, Qiyun Ma, et al.. (2024). Rice Yield Estimation Using Multi-Temporal Remote Sensing Data and Machine Learning: A Case Study of Jiangsu, China. Agriculture. 14(4). 638–638. 11 indexed citations
9.
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
10.
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
11.
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
12.
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
13.
Zain, Muhammad, Zhuanyun Si, Haijiao Ma, et al.. (2023). Developing a tactical irrigation and nitrogen fertilizer management strategy for winter wheat through drip irrigation. Frontiers in Plant Science. 14. 1231294–1231294. 2 indexed citations
14.
Wu, Tianao, Wei Zhang, Shuyu Wu, et al.. (2023). Retrieving rice (Oryza sativa L.) net photosynthetic rate from UAV multispectral images based on machine learning methods. Frontiers in Plant Science. 13. 1088499–1088499. 11 indexed citations
15.
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
16.
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
17.
Cheng, Minghan, Xiyun Jiao, Lei Shi, et al.. (2022). High-resolution crop yield and water productivity dataset generated using random forest and remote sensing. Scientific Data. 9(1). 641–641. 42 indexed citations
18.
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 →
19.
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
20.
Cheng, Minghan, et al.. (2020). Temporal and spatial distribution characteristics of irrigation water requirement for main crops in the plain area of Hebei Province*. Irrigation and Drainage. 69(5). 1051–1062. 13 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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