Jibo Yue

3.8k total citations · 6 hit papers
87 papers, 3.1k citations indexed

About

Jibo Yue is a scholar working on Ecology, Environmental Engineering and Plant Science. According to data from OpenAlex, Jibo Yue has authored 87 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Ecology, 45 papers in Environmental Engineering and 31 papers in Plant Science. Recurrent topics in Jibo Yue's work include Remote Sensing in Agriculture (71 papers), Remote Sensing and LiDAR Applications (35 papers) and Spectroscopy and Chemometric Analyses (19 papers). Jibo Yue is often cited by papers focused on Remote Sensing in Agriculture (71 papers), Remote Sensing and LiDAR Applications (35 papers) and Spectroscopy and Chemometric Analyses (19 papers). Jibo Yue collaborates with scholars based in China, United States and Taiwan. Jibo Yue's co-authors include Guijun Yang, Haikuan Feng, Chengquan Zhou, Qingjiu Tian, Zhenhai Li, Kaijian Xu, Yiguang Fan, Yang Liu, Yanpeng Ma and Xiuliang Jin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Sensors.

In The Last Decade

Jibo Yue

80 papers receiving 3.0k citations

Hit Papers

Estimate of winter-wheat above-ground biomass based on UA... 2019 2026 2021 2023 2019 2024 2024 2024 2025 100 200 300
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. 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 →
  2. 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 →
  3. 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 →
  4. 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 →
  5. 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 →
  6. 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
Jibo Yue China 31 2.3k 1.4k 1.3k 640 566 87 3.1k
Xiaodong Yang China 25 1.9k 0.8× 1.7k 1.2× 945 0.7× 590 0.9× 374 0.7× 55 2.9k
Kang Yu Germany 27 2.0k 0.9× 1.7k 1.2× 1.1k 0.8× 541 0.8× 536 0.9× 77 3.1k
Maitiniyazi Maimaitijiang United States 23 2.1k 0.9× 1.5k 1.0× 1.3k 1.0× 464 0.7× 652 1.2× 42 3.5k
Hengbiao Zheng China 30 2.0k 0.8× 1.4k 1.0× 924 0.7× 475 0.7× 510 0.9× 66 2.5k
Vasit Sagan United States 28 1.9k 0.8× 1.3k 0.9× 1.3k 1.0× 477 0.7× 562 1.0× 76 3.7k
Xiuliang Jin China 37 2.5k 1.1× 2.2k 1.5× 1.4k 1.1× 579 0.9× 857 1.5× 91 4.2k
Huichun Ye China 31 1.8k 0.8× 1.4k 1.0× 865 0.7× 618 1.0× 489 0.9× 117 3.0k
Martin L. Gnyp Germany 20 2.1k 0.9× 1.2k 0.8× 1.4k 1.1× 326 0.5× 529 0.9× 33 2.6k
Helge Aasen Switzerland 26 2.5k 1.1× 1.4k 1.0× 1.7k 1.3× 356 0.6× 710 1.3× 53 3.6k
Ana Isabel de Castro Spain 31 2.1k 0.9× 2.0k 1.4× 1.4k 1.1× 378 0.6× 476 0.8× 64 3.4k

Countries citing papers authored by Jibo Yue

Since Specialization
Citations

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

Fields of papers citing papers by Jibo Yue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jibo Yue

This figure shows the co-authorship network connecting the top 25 collaborators of Jibo Yue. A scholar is included among the top collaborators of Jibo Yue 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 Jibo Yue. Jibo Yue 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.
Shu, Meiyan, Li Yang, Jibo Yue, et al.. (2025). A novel canopy water indicator for UAV imaging to monitor winter wheat water status. Smart Agricultural Technology. 12. 101160–101160. 1 indexed citations
2.
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 →
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.
Feng, Haikuan, Yiguang Fan, Jibo Yue, et al.. (2025). Enhancing potato leaf protein content, carbon-based constituents, and leaf area index monitoring using radiative transfer model and deep learning. European Journal of Agronomy. 166. 127580–127580. 5 indexed citations
5.
6.
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
7.
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
8.
Zhou, Lin, Jie Zhang, Haikuan Feng, et al.. (2024). Estimation of Peanut Southern Blight Severity in Hyperspectral Data Using the Synthetic Minority Oversampling Technique and Fractional-Order Differentiation. Agriculture. 14(3). 476–476. 2 indexed citations
9.
Liu, Yang, Haikuan Feng, Jibo Yue, et al.. (2024). Improving potato AGB estimation to mitigate phenological stage impacts through depth features from hyperspectral data. Computers and Electronics in Agriculture. 219. 108808–108808. 57 indexed citations breakdown →
10.
Liu, Yang, Jibo Yue, Wanxue Zhu, et al.. (2024). Crop canopy volume weighted by color parameters from UAV-based RGB imagery to estimate above-ground biomass of potatoes. Computers and Electronics in Agriculture. 227. 109678–109678. 31 indexed citations
11.
Fan, Yiguang, Yang Liu, Jibo Yue, et al.. (2024). Estimation of potato yield using a semi-mechanistic model developed by proximal remote sensing and environmental variables. Computers and Electronics in Agriculture. 223. 109117–109117. 18 indexed citations
12.
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
13.
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
14.
Yue, Jibo, Jia Tian, William Philpot, et al.. (2023). VNAI-NDVI-space and polar coordinate method for assessing crop leaf chlorophyll content and fractional cover. Computers and Electronics in Agriculture. 207. 107758–107758. 33 indexed citations
15.
Hu, Jingyu, Jibo Yue, Xin Xu, et al.. (2023). UAV-Based Remote Sensing for Soybean FVC, LCC, and Maturity Monitoring. Agriculture. 13(3). 692–692. 16 indexed citations
16.
Guo, Wei, Chenghai Yang, Zheng Gong, et al.. (2023). A fast and lightweight detection model for wheat fusarium head blight spikes in natural environments. Computers and Electronics in Agriculture. 216. 108484–108484. 23 indexed citations
17.
Fan, Yiguang, Haikuan Feng, Jibo Yue, et al.. (2023). Comparison of Different Dimensional Spectral Indices for Estimating Nitrogen Content of Potato Plants over Multiple Growth Periods. Remote Sensing. 15(3). 602–602. 17 indexed citations
18.
Yue, Jibo, Yuanyuan Fu, Wei Guo, Haikuan Feng, & Hongbo Qiao. (2022). Estimating fractional coverage of crop, crop residue, and bare soil using shortwave infrared angle index and Sentinel-2 MSI. International Journal of Remote Sensing. 43(4). 1253–1273. 14 indexed citations
19.
Liu, Yang, Haikuan Feng, Jibo Yue, et al.. (2022). Estimation of Potato Above-Ground Biomass Using UAV-Based Hyperspectral images and Machine-Learning Regression. Remote Sensing. 14(21). 5449–5449. 28 indexed citations
20.
Liu, Yang, Haikuan Feng, Jibo Yue, et al.. (2022). Estimation of Aboveground Biomass of Potatoes Based on Characteristic Variables Extracted from UAV Hyperspectral Imagery. Remote Sensing. 14(20). 5121–5121. 30 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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