Guoxiong Zhou

2.2k total citations · 1 hit paper
83 papers, 1.6k citations indexed

About

Guoxiong Zhou is a scholar working on Plant Science, Analytical Chemistry and Computer Vision and Pattern Recognition. According to data from OpenAlex, Guoxiong Zhou has authored 83 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Plant Science, 14 papers in Analytical Chemistry and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Guoxiong Zhou's work include Smart Agriculture and AI (38 papers), Spectroscopy and Chemometric Analyses (14 papers) and Leaf Properties and Growth Measurement (11 papers). Guoxiong Zhou is often cited by papers focused on Smart Agriculture and AI (38 papers), Spectroscopy and Chemometric Analyses (14 papers) and Leaf Properties and Growth Measurement (11 papers). Guoxiong Zhou collaborates with scholars based in China, United States and Ukraine. Guoxiong Zhou's co-authors include Aibin Chen, Yahui Hu, Liujun Li, Wenzhuo Zhang, Mingfang He, Weiwei Cai, Yaowen Hu, Jialei Zhan, Jizheng Yi and Mingxuan Li and has published in prestigious journals such as PLoS ONE, The Plant Journal and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Guoxiong Zhou

79 papers receiving 1.6k citations

Hit Papers

Fast forest fire smoke detection using MVMNet 2022 2026 2023 2024 2022 40 80 120
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. Fast forest fire smoke detection using MVMNet
    2022 124 citations Yaowen Hu, Jialei Zhan et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guoxiong Zhou China 23 950 399 310 205 190 83 1.6k
Wenzhuo Zhang China 12 573 0.6× 252 0.6× 78 0.3× 27 0.1× 77 0.4× 21 758
Weizheng Shen China 21 305 0.3× 152 0.4× 104 0.3× 9 0.0× 99 0.5× 76 1.1k
Jinhai Cai Australia 18 363 0.4× 52 0.1× 340 1.1× 9 0.0× 180 0.9× 57 1.0k
Yahui Hu China 22 958 1.0× 366 0.9× 189 0.6× 116 0.6× 123 0.6× 66 1.3k
Muammer Türkoğlu Türkiye 18 539 0.6× 215 0.5× 192 0.6× 7 0.0× 94 0.5× 58 1.4k
Adel Hafiane France 22 892 0.9× 232 0.6× 456 1.5× 37 0.2× 462 2.4× 70 1.9k
Bruno Brandoli Machado Brazil 15 565 0.6× 155 0.4× 148 0.5× 6 0.0× 232 1.2× 35 1.0k
Filipe Neves dos Santos Portugal 20 815 0.9× 172 0.4× 358 1.2× 14 0.1× 188 1.0× 102 1.4k
Guodong Yang China 16 776 0.8× 239 0.6× 482 1.6× 26 0.1× 204 1.1× 92 1.8k
João Valente Netherlands 24 689 0.7× 108 0.3× 586 1.9× 20 0.1× 442 2.3× 89 2.0k

Countries citing papers authored by Guoxiong Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Guoxiong Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guoxiong Zhou

This figure shows the co-authorship network connecting the top 25 collaborators of Guoxiong Zhou. A scholar is included among the top collaborators of Guoxiong Zhou 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 Guoxiong Zhou. Guoxiong Zhou 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.
Yang, Yixin, Zhiwen Tang, Guoxiong Zhou, et al.. (2025). A precise image-based retinal blood vessel segmentation method using TAOD-CFNet. Biomedical Signal Processing and Control. 107. 107815–107815. 1 indexed citations
2.
3.
4.
Zhou, Guoxiong, et al.. (2025). Detection of Pine Wilt Disease in UAV Remote Sensing Images Based on SLMW-Net. Plants. 14(16). 2490–2490. 2 indexed citations
5.
Deng, Rui, et al.. (2024). E-DOCRNet: A multi-feature fusion network for dog bark identification. Applied Acoustics. 220. 109950–109950. 3 indexed citations
6.
Huang, Shuangjie, et al.. (2023). Identification of tomato leaf diseases based on multi-channel automatic orientation recurrent attention network. Computers and Electronics in Agriculture. 205. 107605–107605. 49 indexed citations
7.
Zhang, Liangji, Guoxiong Zhou, Chao Lu, et al.. (2023). MDMASNet: A dual-task interactive semi-supervised remote sensing image segmentation method. Signal Processing. 212. 109152–109152. 8 indexed citations
8.
Cai, Weiwei, et al.. (2023). Apple Leaf Disease Identification in Complex Background Based on BAM-Net. Agronomy. 13(5). 1240–1240. 22 indexed citations
9.
Zhou, Guoxiong, et al.. (2023). Deep learning bird song recognition based on MFF-ScSEnet. Ecological Indicators. 154. 110844–110844. 18 indexed citations
10.
Zhou, Guoxiong, et al.. (2023). Classification methods of butterfly images based on U-net and STL-MSDNet. Multimedia Tools and Applications. 82(24). 37039–37063. 1 indexed citations
11.
Tang, Lu, et al.. (2023). A lightweight multi-sensory field-based dual-feature fusion residual network for bird song recognition. Applied Soft Computing. 146. 110678–110678. 12 indexed citations
12.
Hu, Yaowen, et al.. (2022). DCCAM-MRNet: Mixed Residual Connection Network with Dilated Convolution and Coordinate Attention Mechanism for Tomato Disease Identification. Computational Intelligence and Neuroscience. 2022. 1–15. 13 indexed citations
13.
Zhou, Guoxiong, et al.. (2022). Tomato Leaf Disease Detection System Based on FC-SNDPN. Multimedia Tools and Applications. 82(2). 2121–2144. 49 indexed citations
14.
Yi, Jizheng, et al.. (2022). Analysis of Stock Market Public Opinion Based on Web Crawler and Deep Learning Technologies Including 1DCNN and LSTM. Arabian Journal for Science and Engineering. 48(8). 9941–9962. 8 indexed citations
15.
Chen, Wenjie, et al.. (2022). Remote sensing scene classification with multi-spatial scale frequency covariance pooling. Multimedia Tools and Applications. 81(21). 30413–30435. 3 indexed citations
16.
Li, Mingxuan, Guoxiong Zhou, & Zongchen Li. (2022). Fast recognition system forTree images based on dual-task Gabor convolutional neural network. Multimedia Tools and Applications. 81(20). 28607–28631. 4 indexed citations
17.
Yan, Na, Guoxiong Zhou, Zhiqiang Zhang, et al.. (2021). Birdsong classification based on multi-feature fusion. Multimedia Tools and Applications. 80(30). 36529–36547. 21 indexed citations
18.
Liu, Jing, et al.. (2021). Dermatoscopic image melanoma recognition based on CFLDnet fusion network. Multimedia Tools and Applications. 80(17). 25477–25494. 6 indexed citations
19.
Zhang, Wenzhuo, et al.. (2020). Detection of Apple Defects Based on the FCM-NPGA and a Multivariate Image Analysis. IEEE Access. 8. 38833–38845. 32 indexed citations
20.
Zhou, Guoxiong, et al.. (2018). Apple image recognition based on deep and migration learning.. 27(3). 371–379. 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Wenzhuo Zhang Breakdown of academic impact, for papers by Weizheng Shen Breakdown of academic impact, for papers by Jinhai Cai Breakdown of academic impact, for papers by Yahui Hu Breakdown of academic impact, for papers by Muammer Türkoğlu Breakdown of academic impact, for papers by Adel Hafiane Breakdown of academic impact, for papers by Bruno Brandoli Machado Breakdown of academic impact, for papers by Filipe Neves dos Santos Breakdown of academic impact, for papers by Guodong Yang Breakdown of academic impact, for papers by João Valente
Rankless by CCL
2026