Guijun Yang

15.5k total citations · 10 hit papers
442 papers, 12.1k citations indexed

About

Guijun Yang is a scholar working on Ecology, Plant Science and Environmental Engineering. According to data from OpenAlex, Guijun Yang has authored 442 papers receiving a total of 12.1k indexed citations (citations by other indexed papers that have themselves been cited), including 275 papers in Ecology, 178 papers in Plant Science and 138 papers in Environmental Engineering. Recurrent topics in Guijun Yang's work include Remote Sensing in Agriculture (271 papers), Remote Sensing and Land Use (101 papers) and Remote Sensing and LiDAR Applications (92 papers). Guijun Yang is often cited by papers focused on Remote Sensing in Agriculture (271 papers), Remote Sensing and Land Use (101 papers) and Remote Sensing and LiDAR Applications (92 papers). Guijun Yang collaborates with scholars based in China, United States and United Kingdom. Guijun Yang's co-authors include Haikuan Feng, Zhenhai Li, Chunjiang Zhao, Hao Yang, Jibo Yue, Xiaodong Yang, Xingang Xu, Bo Xu, Xiuliang Jin and Jihua Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

Guijun Yang

411 papers receiving 11.9k citations

Hit Papers

Unmanned Aerial Vehicle Remote Sensing for Field-Based Cr... 2017 2026 2020 2023 2017 2017 2019 2019 2018 100 200 300 400 500
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.

  1. Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives
    2017 561 citations Guijun Yang, Chunjiang Zhao et al. profile →
  2. A review of data assimilation of remote sensing and crop models
    2017 387 citations Xiuliang Jin, Zhenhai Li et al. European Journal of Agronomy profile →
  3. Estimate of winter-wheat above-ground biomass based on UAV ultrahigh-ground-resolution image textures and vegetation indices
    2019 336 citations Jibo Yue, Guijun Yang et al. profile →
  4. Modeling maize above-ground biomass based on machine learning approaches using UAV remote-sensing data
    2019 324 citations Guijun Yang, Bo Xu et al. profile →
  5. A rapid monitoring of NDVI across the wheat growth cycle for grain yield prediction using a multi-spectral UAV platform
    2018 291 citations Guijun Yang et al. profile →
  6. Estimating potato above-ground biomass based on vegetation indices and texture features constructed from sensitive bands of UAV hyperspectral imagery
    2024 65 citations Yang Liu, Yiguang Fan et al. Computers and Electronics in Agriculture profile →
  7. Improving potato AGB estimation to mitigate phenological stage impacts through depth features from hyperspectral data
    2024 57 citations Yang Liu, Haikuan Feng et al. Computers and Electronics in Agriculture profile →
  8. Improving potato above ground biomass estimation combining hyperspectral data and harmonic decomposition techniques
    2024 53 citations Yang Liu, Haikuan Feng et al. Computers and Electronics in Agriculture profile →
  9. Utilizing UAV-based hyperspectral remote sensing combined with various agronomic traits to monitor potato growth and estimate yield
    2025 30 citations Yang Liu, Haikuan Feng et al. Computers and Electronics in Agriculture profile →
  10. Estimation of potato above-ground biomass based on the VGC-AGB model and deep learning
    2025 15 citations Haikuan Feng, Yiguang Fan et al. Computers and Electronics in Agriculture profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guijun Yang China 58 7.9k 6.2k 4.1k 2.3k 2.2k 442 12.1k
Yongchao Tian China 51 5.8k 0.7× 4.9k 0.8× 2.6k 0.6× 1.5k 0.6× 1.6k 0.7× 219 8.1k
Wenjiang Huang China 50 6.0k 0.8× 4.9k 0.8× 2.3k 0.6× 1.9k 0.8× 2.2k 1.0× 348 9.4k
Yan Zhu China 62 8.2k 1.0× 8.9k 1.4× 4.4k 1.1× 3.0k 1.3× 2.2k 1.0× 651 16.2k
Haikuan Feng China 45 5.2k 0.7× 3.5k 0.6× 2.6k 0.6× 1.5k 0.6× 1.3k 0.6× 193 6.9k
Xia Yao China 48 5.4k 0.7× 4.4k 0.7× 2.4k 0.6× 1.4k 0.6× 1.6k 0.7× 218 7.5k
Craig S. T. Daughtry United States 58 9.0k 1.1× 4.8k 0.8× 5.3k 1.3× 4.7k 2.0× 1.3k 0.6× 232 13.0k
Pablo J. Zarco‐Tejada Spain 72 15.3k 1.9× 9.9k 1.6× 6.9k 1.7× 7.7k 3.3× 2.4k 1.1× 208 20.7k
Onisimo Mutanga South Africa 57 9.1k 1.2× 2.5k 0.4× 5.2k 1.3× 4.8k 2.1× 1.3k 0.6× 383 13.5k
Tao Cheng China 52 4.9k 0.6× 3.6k 0.6× 2.3k 0.6× 1.4k 0.6× 1.4k 0.6× 257 8.5k
Zhenhai Li China 45 4.3k 0.5× 3.1k 0.5× 2.1k 0.5× 1.3k 0.6× 839 0.4× 207 6.9k

Countries citing papers authored by Guijun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Guijun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guijun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Guijun Yang. A scholar is included among the top collaborators of Guijun Yang 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 Guijun Yang. Guijun Yang 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.
Feng, Haikuan, Yiguang Fan, Jibo Yue, et al.. (2025). Estimation of potato above-ground biomass based on the VGC-AGB model and deep learning. Computers and Electronics in Agriculture. 232. 110122–110122. 15 indexed citations breakdown →
2.
Zhang, Jing, Guijun Yang, Dongli Wu, et al.. (2025). Estimation of winter wheat yield by assimilating MODIS LAI and VIC optimized soil moisture into the WOFOST model. European Journal of Agronomy. 164. 127497–127497. 1 indexed citations
3.
Liu, Yang, Haikuan Feng, Yiguang Fan, et al.. (2025). Utilizing UAV-based hyperspectral remote sensing combined with various agronomic traits to monitor potato growth and estimate yield. Computers and Electronics in Agriculture. 231. 109984–109984. 30 indexed citations breakdown →
4.
Zhang, Chengjian, Zhibo Chen, Riqiang Chen, et al.. (2025). Retrieving the chlorophyll content of individual apple trees by reducing canopy shadow impact via a 3D radiative transfer model and UAV multispectral imagery. Plant Phenomics. 7(1). 100015–100015. 3 indexed citations
5.
Wu, Qiang, Jianbo Qi, Guijun Yang, et al.. (2025). A robust two-stage framework for maize above-ground biomass prediction integrating spectral remote sensing and allometric growth model. Computers and Electronics in Agriculture. 235. 110398–110398.
6.
Yang, Guijun, et al.. (2024). Recognition of wheat rusts in a field environment based on improved DenseNet. Biosystems Engineering. 238. 10–21. 26 indexed citations
7.
Chen, Riqiang, et al.. (2024). Automatic Rice Early-Season Mapping Based on Simple Non-Iterative Clustering and Multi-Source Remote Sensing Images. Remote Sensing. 16(2). 277–277. 8 indexed citations
8.
Zhang, Chengjian, Haikuan Feng, Huiling Long, et al.. (2024). Real-time monitoring of maize phenology with the VI-RGS composite index using time-series UAV remote sensing images and meteorological data. Computers and Electronics in Agriculture. 224. 109212–109212. 17 indexed citations
9.
Yang, Guijun, et al.. (2024). A new strategy for weed detection in maize fields. European Journal of Agronomy. 159. 127289–127289. 9 indexed citations
10.
Yue, Jibo, Guijun Yang, Changchun Li, et al.. (2024). Analyzing winter-wheat biochemical traits using hyperspectral remote sensing and deep learning. Computers and Electronics in Agriculture. 222. 109026–109026. 16 indexed citations
11.
Chen, Riqiang, Wenping Liu, Hao Yang, et al.. (2024). A novel framework to assess apple leaf nitrogen content: Fusion of hyperspectral reflectance and phenology information through deep learning. Computers and Electronics in Agriculture. 219. 108816–108816. 14 indexed citations
12.
Zhao, Dan, et al.. (2024). A method to rapidly construct 3D canopy scenes for maize and their spectral response evaluation. Computers and Electronics in Agriculture. 224. 109138–109138. 8 indexed citations
13.
Liu, Yang, Yiguang Fan, Jibo Yue, et al.. (2024). A model suitable for estimating above-ground biomass of potatoes at different regional levels. Computers and Electronics in Agriculture. 222. 109081–109081. 38 indexed citations
14.
Chen, Riqiang, Hao Yang, Wenping Liu, et al.. (2024). An orchard mapping index and mapping algorithm coupling orchard phenology and green-holding characteristics from time-series sentinel-2 images. Computers and Electronics in Agriculture. 226. 109437–109437. 3 indexed citations
15.
Yue, Jibo, Qingjiu Tian, Yang Liu, et al.. (2023). Mapping cropland rice residue cover using a radiative transfer model and deep learning. Computers and Electronics in Agriculture. 215. 108421–108421. 15 indexed citations
16.
Li, Heli, Guijun Yang, Huiling Long, et al.. (2023). Estimating characteristic coefficient of vertical leaf nitrogen profile within wheat canopy from spectral reflectance. Computers and Electronics in Agriculture. 206. 107652–107652. 8 indexed citations
17.
Yang, Guijun, Hao Yang, Haikuan Feng, et al.. (2023). Orchard classification based on super-pixels and deep learning with sparse optical images. Computers and Electronics in Agriculture. 215. 108379–108379. 6 indexed citations
18.
Liu, Yang, Haikuan Feng, Jibo Yue, et al.. (2023). Estimating potato above-ground biomass by using integrated unmanned aerial system-based optical, structural, and textural canopy measurements. Computers and Electronics in Agriculture. 213. 108229–108229. 75 indexed citations
19.
Fu, Yuanyuan, Guijun Yang, Dandan Duan, et al.. (2020). Comparison analysis of spatial and spectral feature in vegetation classification based on AVIRIS hyperspectral image. SHILAP Revista de lepidopterología. 1 indexed citations
20.
Xu, Bo, et al.. (2019). Design and Application of Data Acquisition and Analysis System for CropSense. SHILAP Revista de lepidopterología. 1 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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