Kang Yu

4.2k total citations · 1 hit paper
77 papers, 3.1k citations indexed

About

Kang Yu is a scholar working on Ecology, Plant Science and Analytical Chemistry. According to data from OpenAlex, Kang Yu has authored 77 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Ecology, 44 papers in Plant Science and 21 papers in Analytical Chemistry. Recurrent topics in Kang Yu's work include Remote Sensing in Agriculture (48 papers), Spectroscopy and Chemometric Analyses (21 papers) and Leaf Properties and Growth Measurement (17 papers). Kang Yu is often cited by papers focused on Remote Sensing in Agriculture (48 papers), Spectroscopy and Chemometric Analyses (21 papers) and Leaf Properties and Growth Measurement (17 papers). Kang Yu collaborates with scholars based in Germany, China and Switzerland. Kang Yu's co-authors include Georg Bareth, Martin L. Gnyp, Helge Aasen, Juliane Bendig, Andreas Bolten, Andreas Hund, Yuxin Miao, Achim Walter, Xinping Chen and Fei Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Kang Yu

68 papers receiving 3.0k citations

Hit Papers

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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.

Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley

2015 964 citations Kang Yu, Helge Aasen et al. International Journal of Applied Earth Observation and Geoinformation profile →

Peers

Countries citing papers authored by Kang Yu

Since Specialization

Citations

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

Fields of papers citing papers by Kang Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Kang Yu. A scholar is included among the top collaborators of Kang Yu 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 Kang Yu. Kang Yu 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	Improving the transferability of potato nitrogen concentration estimation models based on hybrid feature selection and Gaussian process regression 2025 ·European Journal of Agronomy ·(unknown), (unknown), Yuncai Hu, Fei Li, Kang Yu	0
2	Improving winter wheat plant nitrogen concentration prediction by combining proximal hyperspectral sensing and weather information with machine learning 2025 ·Computers and Electronics in Agriculture ·(unknown), Fenling Li, Qingrui Chang, Yuxin Miao, Kang Yu	9
3	Identifying optimized spectral and spatial features of UAV-based RGB and multispectral images to improve potato nitrogen content estimation 2025 ·Smart Agricultural Technology ·(unknown), (unknown), Yuncai Hu, Fei Li, Kang Yu	1
4	Drone multispectral imaging captures the effects of soil mineral nitrogen on canopy structure and nitrogen use efficiency in wheat 2025 ·Computers and Electronics in Agriculture ·Jie Wang, Sebastian T. Meyer, (unknown), Wolfgang W. Weisser, Kang Yu	2
5	Improving potato leaf chlorophyll content prediction using a machine learning model with a hybrid dataset 2025 ·International Journal of Remote Sensing ·(unknown), Yuncai Hu, (unknown), (unknown), Fei Li, Kang Yu	1
6	A more precise retrieval of sun-induced chlorophyll fluorescence from satellite data using artificial neural networks 2025 ·Remote Sensing of Environment ·Dong Li, Jing M. Chen, Grégory Duveiller, Christian Frankenberg, Philipp Köhler, Kang Yu	0
7	Global retrieval of canopy chlorophyll content from Sentinel-3 OLCI TOA data using a two-step upscaling method integrating physical and machine learning models 2025 ·Remote Sensing of Environment ·Dong Li, Holly Croft, Grégory Duveiller, Adam P. Schreiner‐McGraw, (unknown), Tao Cheng, Yan Zhu, Weixing Cao, Kang Yu	3
8	Weed instance segmentation from UAV Orthomosaic Images based on Deep Learning 2025 ·Smart Agricultural Technology ·Chenghao Lu, Klaus Gehring, (unknown), Heinz Bernhardt, (unknown), (unknown), (unknown), (unknown), Yuncai Hu, Kang Yu	3
9	Biodiversity monitoring in urban community gardens using proximal sensing and drone remote sensing 2025 ·Remote Sensing Applications Society and Environment ·(unknown), (unknown), Elisa Van Cleemput, Monika Egerer, Kang Yu	0
10	Approaching holistic crop type mapping in Europe through winter vegetation classification and the Hierarchical Crop and Agriculture Taxonomy 2024 ·International Journal of Applied Earth Observation and Geoinformation ·(unknown), Marco Körner, Kang Yu	5
11	Meta-Analysis Assessing Potential of Drone Remote Sensing in Estimating Plant Traits Related to Nitrogen Use Efficiency 2024 ·Remote Sensing ·Jingcheng Zhang, Yuncai Hu, Fei Li, Kadeghe G. Fue, Kang Yu	14
12	Mapping Plant Nitrogen Concentration and Aboveground Biomass of Potato Crops from Sentinel-2 Data Using Ensemble Learning Models 2024 ·Remote Sensing ·(unknown), Fei Li, (unknown), (unknown), Yuncai Hu, Kang Yu	7
13	Investigation into the passivating efficacy of various passivators on cadmium (Cd)-contaminated soil in Enshi 2023 ·(unknown), Jiqian Xiang, Kang Yu, (unknown), Yongbo Chen, (unknown), (unknown), Hongqing Yin	1
14	Machine learning models fed with optimized spectral indices to advance crop nitrogen monitoring 2023 ·Field Crops Research ·(unknown), (unknown), Fei Li, Yuncai Hu, Kang Yu	42
15	OPTRAM-ET: A novel approach to remote sensing of actual evapotranspiration applied to Sentinel-2 and Landsat-8 observations 2023 ·Remote Sensing of Environment ·Ali Mokhtari, Morteza Sadeghi, (unknown), Kang Yu	37
16	Detecting Cassava Plants under Different Field Conditions Using UAV-Based RGB Images and Deep Learning Models 2023 ·Remote Sensing ·(unknown), (unknown), (unknown), Kang Yu	16
17	Urban Tree Health Classification Across Tree Species by Combining Airborne Laser Scanning and Imaging Spectroscopy 2020 ·Remote Sensing ·(unknown), Jeroen Degerickx, Kang Yu, Ben Somers	20
18	Spectral Vegetation Indices to Track Senescence Dynamics in Diverse Wheat Germplasm 2020 ·Frontiers in Plant Science ·Jonas Anderegg, Kang Yu, Helge Aasen, Achim Walter, Frank Liebisch, Andreas Hund	91
19	Precision Phenotyping Reveals Novel Loci for Quantitative Resistance to Septoria Tritici Blotch 2019 ·Plant Phenomics ·Steven Yates, Alexey Mikaberidze, Simon G. Krattinger, Michaël Abrouk, Andreas Hund, Kang Yu, Bruno Studer, Simone Fouché, Lukas Meile, Danilo Pereira, Petteri Karisto, Bruce A. McDonald	41
20	Relative importance of spatial processes and environmental factors in shaping alpine meadow communities 2011 ·Journal of Plant Ecology ·Qi Li, Xiaoye Yang, Janne Soininen, Chengjin Chu, Junqian Zhang, Kang Yu, Genxu Wang	26

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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