Wei Guo

3.1k total citations · 1 hit paper
125 papers, 2.1k citations indexed

About

Wei Guo is a scholar working on Ecology, Plant Science and Global and Planetary Change. According to data from OpenAlex, Wei Guo has authored 125 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Ecology, 46 papers in Plant Science and 33 papers in Global and Planetary Change. Recurrent topics in Wei Guo's work include Remote Sensing in Agriculture (48 papers), Smart Agriculture and AI (24 papers) and Spectroscopy and Chemometric Analyses (19 papers). Wei Guo is often cited by papers focused on Remote Sensing in Agriculture (48 papers), Smart Agriculture and AI (24 papers) and Spectroscopy and Chemometric Analyses (19 papers). Wei Guo collaborates with scholars based in China, United States and United Kingdom. Wei Guo's co-authors include Felix Kogan, Wenze Yang, Hongbo Qiao, Haikuan Feng, Jibo Yue, Xinming Ma, Yunyue Yu, Xiaoyang Zhang, Tao Cheng and Guijun Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Journal of Cleaner Production.

In The Last Decade

Wei Guo

114 papers receiving 2.1k 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.

Effects of patterns of urban green-blue landscape on carbon sequestration using XGBoost-SHAP model

2024 49 citations Yangyang Yuan, Wei Guo et al. Journal of Cleaner Production profile →

Peers

Wei Guo

ECOLO

GPC

PS

EE

AS

Yue Shi China

Qingrui Chang China

Mário Cunha Portugal

Zhigang Sun China

Offer Rozenstein Israel

Aditya Singh United States

Qingbo Zhou China

Fethi Ahmed South Africa

Le Li China

Bernard Tychon Belgium

Yue Shi China

Wei Guo

1.4k ×1.5

ECOLO

489 ×0.7

GPC

1.2k ×1.8

PS

424 ×1.1

EE

295 ×0.8

AS

Citations per year, relative to Wei Guo Wei Guo (= 1×) peers Yue Shi

Countries citing papers authored by Wei Guo

Since Specialization

Citations

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

Fields of papers citing papers by Wei Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Guo

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Guo, Yufeng, Wei Guo, Hongbo Qiao, et al.. (2025). Wheat Powdery Mildew Severity Classification Based on an Improved ResNet34 Model. Agriculture. 15(15). 1580–1580.

2.

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

3.

Yuan, Yangyang, et al.. (2024). Effects of patterns of urban green-blue landscape on carbon sequestration using XGBoost-SHAP model. Journal of Cleaner Production. 476. 143640–143640. 49 indexed citations breakdown →

4.

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

5.

Yu, Li, Doudou Zhang, Miao Liu, et al.. (2023). Exosomal circ_0008285 in follicle fluid regulates the lipid metabolism through the miR-4644/ LDLR axis in polycystic ovary syndrome. Journal of Ovarian Research. 16(1). 113–113. 13 indexed citations

6.

Wang, Yi, et al.. (2023). Physiological and Proteomic Analysis of Seed Germination under Salt Stress in Mulberry. Frontiers in Bioscience-Landmark. 28(3). 11 indexed citations

7.

Gong, Zheng, et al.. (2023). Monitoring of Wheat Fusarium Head Blight on Spectral and Textural Analysis of UAV Multispectral Imagery. Agriculture. 13(2). 293–293. 30 indexed citations

8.

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

9.

Song, Xiaoyu, Wei Guo, Guijun Yang, et al.. (2023). Potato late blight severity monitoring based on the relief-mRmR algorithm with dual-drone cooperation. Computers and Electronics in Agriculture. 215. 108438–108438. 19 indexed citations

10.

Guo, Wei, et al.. (2023). Detection and Attribution of Alpine Inland Lake Changes by Using Random Forest Algorithm. Remote Sensing. 15(4). 1144–1144. 4 indexed citations

11.

Zhang, Dongyan, Wenhao Zhang, Tao Cheng, et al.. (2023). Segmentation of wheat scab fungus spores based on CRF_ResUNet++. Computers and Electronics in Agriculture. 216. 108547–108547. 9 indexed citations

12.

Zhao, Hengqian, Yifeng Yang, Chenghai Yang, Rui Song, & Wei Guo. (2023). Evaluation of spatial resolution on crop disease detection based on multiscale images and category variance ratio. Computers and Electronics in Agriculture. 207. 107743–107743. 8 indexed citations

13.

Jia, Xiao, Dameng Yin, Xun Yu, et al.. (2023). Monitoring Maize Leaf Spot Disease Using Multi-Source UAV Imagery. Drones. 7(11). 650–650. 4 indexed citations

14.

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

15.

Guo, Wei, Yifeng Yang, Hengqian Zhao, et al.. (2021). Winter Wheat Take-All Disease Index Estimation Model Based on Hyperspectral Data. Applied Sciences. 11(19). 9230–9230. 5 indexed citations

16.

Zhao, Hengqian, Chenghai Yang, Wei Guo, Lifu Zhang, & Dongyan Zhang. (2020). Correction: Zhao, H., et al. Automatic Estimation of Crop Disease Severity Levels Based on Vegetation Index Normalization. Remote Sensing 2020, 12, 1930. Remote Sensing. 12(22). 3761–3761. 1 indexed citations

17.

Zhao, Hengqian, Chenghai Yang, Wei Guo, Lifu Zhang, & Dongyan Zhang. (2020). Automatic Estimation of Crop Disease Severity Levels Based on Vegetation Index Normalization. Remote Sensing. 12(12). 1930–1930. 48 indexed citations

18.

Guo, Wei. (2009). Full Rank Decomposition and Moore-Penrose Inverses of Completely Symmetric Matrices. Journal of Sichuan Normal University.

19.

Qiangyan, Pan, Xu Wang, Jingen Chen, et al.. (2008). Shanghai Laser Electron Gamma Source（SLEGS). 25(2). 129–134. 2 indexed citations

20.

Guo, Wei. (2007). A Model for Environmental Impact Assessment of Land Reclamation. 中国海洋工程：英文版. 21(2). 343–354. 5 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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