Yonghua Qu

1.8k total citations · 1 hit paper
66 papers, 1.3k citations indexed

About

Yonghua Qu is a scholar working on Ecology, Environmental Engineering and Plant Science. According to data from OpenAlex, Yonghua Qu has authored 66 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Ecology, 30 papers in Environmental Engineering and 25 papers in Plant Science. Recurrent topics in Yonghua Qu's work include Remote Sensing in Agriculture (47 papers), Remote Sensing and LiDAR Applications (23 papers) and Leaf Properties and Growth Measurement (23 papers). Yonghua Qu is often cited by papers focused on Remote Sensing in Agriculture (47 papers), Remote Sensing and LiDAR Applications (23 papers) and Leaf Properties and Growth Measurement (23 papers). Yonghua Qu collaborates with scholars based in China, United States and Canada. Yonghua Qu's co-authors include Jindi Wang, Shunlin Liang, Suhong Liu, Xiang Zhao, Zhiqiang Xiao, Ying Qu, Wenchao Han, Wenping Yuan, Xiaotong Zhang and Qiang Liu and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and Sensors.

In The Last Decade

Yonghua Qu

63 papers receiving 1.2k 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.

A long-term Global LAnd Surface Satellite (GLASS) data-set for environmental studies

2013 428 citations Xiang Zhao, Suhong Liu et al. profile →

Peers

Countries citing papers authored by Yonghua Qu

Since Specialization

Citations

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

Fields of papers citing papers by Yonghua Qu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yonghua Qu

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Real-time monitoring of maize phenology using ground camera fusion information 2025 ·Smart Agricultural Technology ·(unknown), Yonghua Qu, D. Liu	0
2	The Retrieval of Ground NDVI (Normalized Difference Vegetation Index) Data Consistent with Remote-Sensing Observations 2024 ·Remote Sensing ·(unknown), Yonghua Qu	20
3	Full-band, multi-angle, multi-scale, and temporal dynamic field spectral measurements in China 2023 ·Scientific Data ·Jianguang Wen, Xiaodan Wu, Qing Xiao, Qinhuo Liu, Mingguo Ma, Xingming Zheng, Yonghua Qu, Rui Jin, Dongqin You, Yong Tang, Xingwen Lin, Wen‐Pin Yu, (unknown), Jian Yang, Han Yuan	3
4	Estimation of leaf area index using inclined smartphone camera 2021 ·Computers and Electronics in Agriculture ·Yonghua Qu, Zixin Wang, Jiali Shang, Jiangui Liu, Jie Zou	14
5	Estimation of Forest LAI Using Discrete Airborne LiDAR: A Review 2021 ·Remote Sensing ·(unknown), Yonghua Qu, Jianbo Qi	31
6	Estimation of forest leaf area index based on spectrally corrected airborne LiDAR pulse penetration index by intensity of point cloud 2020 ·National Remote Sensing Bulletin ·(unknown), Yonghua Qu, Lauri Korhonen, Ilkka Korpela, Janne Heiskanen	1
7	Design and realization of ground object background spectral library for surveying and mapping 2020 ·National Remote Sensing Bulletin ·(unknown), Qing Xiao, Jianguang Wen, Xingming Zheng, Mingguo Ma, Yonghua Qu, (unknown), (unknown), Yong Tang, Dongqin You, Dalei Hao, (unknown), (unknown), (unknown), Rui Jin, (unknown), (unknown)	6
8	Internet of Things to network smart devices for ecosystem monitoring 2019 ·Science Bulletin ·Xin Li, Ning Zhao, Rui Jin, Shaomin Liu, Xiaomin Sun, Xuefa Wen, Dongxiu Wu, Yan Zhou, Jianwen Guo, Shiping Chen, Ziwei Xu, Mingguo Ma, Tianming Wang, Yonghua Qu, Xinwei Wang, Fangming Wu, Yuke Zhou	64
9	Remote Sensing of Leaf Area Index from LiDAR Height Percentile Metrics and Comparison with MODIS Product in a Selectively Logged Tropical Forest Area in Eastern Amazonia 2018 ·Remote Sensing ·Yonghua Qu, Ahmed Shaker, Carlos Alberto Silva, Carine Klauberg, Ekena Rangel Pinagé	28
10	Bias analysis and validation method of the MODIS LAI product 2017 ·National Remote Sensing Bulletin ·(unknown), Yonghua Qu, Jindi Wang	7
11	Preliminary study on integrated wireless smart terminals for leaf area index measurement 2016 ·Computers and Electronics in Agriculture ·Yonghua Qu, Jihua Meng, Huawei Wan, (unknown)	23
12	Derivation of temporally continuous LAI reference maps through combining the LAINet observation system with CACAO 2016 ·Agricultural and Forest Meteorology ·Gaofei Yin, Ainong Li, Huaan Jin, Wei Zhao, Jinhu Bian, Yonghua Qu, Yelu Zeng, Baodong Xu	44
13	Spectral response of wheat and lettuce to copper pollution 2014 ·National Remote Sensing Bulletin ·(unknown), Yonghua Qu, Suhong Liu, Shengbo Chen	4
14	MLAOS: A Multi-Point Linear Array of Optical Sensors for Coniferous Foliage Clumping Index Measurement 2014 ·Sensors ·Yonghua Qu, (unknown), Wenchao Han, (unknown), Jindi Wang	11
15	A reflectance spectra model for copper-stressed leaves: advances in the PROSPECT model through addition of the specific absorption coefficients of the copper ion 2014 ·International Journal of Remote Sensing ·(unknown), Yonghua Qu, Suhong Liu, Shengbo Chen	9
16	Text categorization model based on WCBVSM and SACA 2012 ·Computer Engineering and Applications Journal ·Yanping Zhang, Chao Liu, Yonghua Qu	1
17	Design and experiment of crop structural parameters automatic measurement system 2012 ·Nongye gongcheng xuebao ·Yonghua Qu, Jindi Wang, (unknown), Fubin Jiang	18
18	Remote sensing algorithm platform in Windows Azure 2012 ·Deqiang Gan, Keping Du, Yonghua Qu, Yuzhen Zhang, (unknown)	1
19	[Quantitative retrieval of soil salinity using hyperspectral data in the region of inner Mongolia hetao irrigation district]. 2009 ·PubMed ·Yonghua Qu, (unknown), (unknown), (unknown), (unknown), Jinling Song, (unknown), Tao He	13
20	The construction of J2EE-based Spectrum Knowledge Base System for Typical Object in China 2004 ·Yonghua Qu, Suhong Liu, Jindi Wang, Peijuan Wang, Xiang Zhao, Yanjuan Yao	2

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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