Ying Yu

879 total citations
51 papers, 666 citations indexed

About

Ying Yu is a scholar working on Environmental Engineering, Global and Planetary Change and Ecology. According to data from OpenAlex, Ying Yu has authored 51 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Environmental Engineering, 24 papers in Global and Planetary Change and 23 papers in Ecology. Recurrent topics in Ying Yu's work include Remote Sensing in Agriculture (23 papers), Remote Sensing and LiDAR Applications (20 papers) and Forest ecology and management (12 papers). Ying Yu is often cited by papers focused on Remote Sensing in Agriculture (23 papers), Remote Sensing and LiDAR Applications (20 papers) and Forest ecology and management (12 papers). Ying Yu collaborates with scholars based in China, Democratic Republic of the Congo and Canada. Ying Yu's co-authors include Xiguang Yang, Wenyi Fan, Mingze Li, Yu Fu, Wenhao Wu, Yan Pan, Linyu Xu, Lei Chen, Chen Chen and Shihong Yang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Geoscience and Remote Sensing and Energy.

In The Last Decade

Ying Yu

43 papers receiving 651 citations

Peers

Ying Yu
Neha Joshi United Kingdom
Jason McVay United States
Tim Whiteside Australia
Neha Joshi United Kingdom
Ying Yu
Citations per year, relative to Ying Yu Ying Yu (= 1×) peers Neha Joshi

Countries citing papers authored by Ying Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ying Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Yu. A scholar is included among the top collaborators of Ying 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 Ying Yu. Ying Yu 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.
Yu, Ying, et al.. (2025). Estimation of Forest Canopy Height Using ATLAS Data Based on Improved Optics and EEMD Algorithms. Remote Sensing. 17(5). 941–941. 1 indexed citations
5.
Yu, Ying, et al.. (2024). Household Dependence on Forest Resources in the Luki Biosphere Reserve, Democratic Republic of CONGO. Environmental Management. 74(2). 282–298. 2 indexed citations
6.
Yu, Ying, et al.. (2023). Comparison of Canopy Clumping Index Measuring Methods and Analysis of Their Impact. Remote Sensing. 15(2). 471–471. 1 indexed citations
7.
Yu, Ying, Yan Pan, Xiguang Yang, & Wenyi Fan. (2022). Spatial Scale Effect and Correction of Forest Aboveground Biomass Estimation Using Remote Sensing. Remote Sensing. 14(12). 2828–2828. 28 indexed citations
9.
Yu, Ying, et al.. (2020). Modified photochemical reflectance index to estimate leaf maximum rate of carboxylation based on spectral analysis. Environmental Monitoring and Assessment. 192(12). 788–788. 6 indexed citations
10.
Yang, Xiguang, et al.. (2020). Forest age mapping based on multiple-resource remote sensing data. Environmental Monitoring and Assessment. 192(11). 734–734. 21 indexed citations
11.
Sun, Jing, Wen Fan, Ying Yu, Bin Wang, & Chen Chen. (2019). Quantitative analysis of impact factors on net primary productivity of Tahe forest based on InTEC model.. PubMed. 30(3). 793–804. 2 indexed citations
12.
Yang, Xiguang, et al.. (2018). Moisture content estimation of forest litter based on remote sensing data. Environmental Monitoring and Assessment. 190(7). 421–421. 4 indexed citations
13.
Fan, Wen, et al.. (2017). [Foliage clumping index of main vegetation types in Daxing'an Mountains, Northeast China].. PubMed. 28(3). 757–762. 2 indexed citations
14.
Yu, Ying, et al.. (2017). Influence of site index on the relationship between forest net primary productivity and stand age. PLoS ONE. 12(5). e0177084–e0177084. 25 indexed citations
15.
Yu, Ying, Mingze Li, & Yu Fu. (2017). Forest type identification by random forest classification combined with SPOT and multitemporal SAR data. Journal of Forestry Research. 29(5). 1407–1414. 58 indexed citations
16.
Yang, Xiguang, Ying Yu, & Wenyi Fan. (2015). Chlorophyll content retrieval from hyperspectral remote sensing imagery. Environmental Monitoring and Assessment. 187(7). 456–456. 18 indexed citations
17.
Yu, Ying, et al.. (2011). Comparison of three models of forest biomass estimation. Chinese Journal of Plant Ecology. 35(4). 402–410. 18 indexed citations
18.
Fan, Wen, et al.. (2011). Quantitative Retrieving of Vegetation Factors for Desertification Area. Advanced materials research. 183-185. 376–380. 1 indexed citations
19.
Yang, Xiguang, et al.. (2010). [Estimation of forest canopy chlorophyll content based on PROSPECT and SAIL models].. PubMed. 30(11). 3022–6. 5 indexed citations
20.
Yang, Xiguang, Wenyi Fan, & Ying Yu. (2010). Leaf and canopy cholorophyll content retrieval from hyperspectral remote sensing imagery. 49. 50–53. 2 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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