Guo Cao

2.1k total citations · 1 hit paper
76 papers, 1.5k citations indexed

About

Guo Cao is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Guo Cao has authored 76 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Media Technology, 35 papers in Computer Vision and Pattern Recognition and 25 papers in Atmospheric Science. Recurrent topics in Guo Cao's work include Remote-Sensing Image Classification (37 papers), Remote Sensing and Land Use (25 papers) and Advanced Image Fusion Techniques (15 papers). Guo Cao is often cited by papers focused on Remote-Sensing Image Classification (37 papers), Remote Sensing and Land Use (25 papers) and Advanced Image Fusion Techniques (15 papers). Guo Cao collaborates with scholars based in China, United States and Japan. Guo Cao's co-authors include Youqiang Zhang, Bisheng Wang, Peng Fu, Ayesha Shafique, Muhammad Asad, Muhammad Aslam, Zia U. Khan, Quansen Sun, Yanfeng Shang and Yupeng Li and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Geoscience and Remote Sensing and Sensors.

In The Last Decade

Guo Cao

70 papers receiving 1.5k citations

Hit Papers

Deep Learning-Based Change Detection in Remote Sensing Im... 2022 2026 2023 2024 2022 50 100 150 200
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. Deep Learning-Based Change Detection in Remote Sensing Images: A Review
    2022 238 citations Guo Cao, Muhammad Asad et al. Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guo Cao China 20 878 542 516 310 260 76 1.5k
Hongmin Gao China 27 1.2k 1.4× 598 1.1× 576 1.1× 265 0.9× 161 0.6× 173 2.0k
Mingyang Zhang China 27 1.1k 1.3× 682 1.3× 515 1.0× 512 1.7× 224 0.9× 118 2.0k
Xia Xu China 23 1.1k 1.2× 574 1.1× 555 1.1× 204 0.7× 114 0.4× 58 1.5k
Li Wei China 9 1.3k 1.4× 842 1.6× 415 0.8× 181 0.6× 199 0.8× 55 1.8k
Yao Ding China 22 1.1k 1.2× 423 0.8× 677 1.3× 425 1.4× 86 0.3× 74 1.9k
Liejun Wang China 22 542 0.6× 269 0.5× 843 1.6× 443 1.4× 134 0.5× 172 2.0k
Puhong Duan China 27 1.5k 1.7× 580 1.1× 793 1.5× 304 1.0× 140 0.5× 88 2.2k
Liangcun Jiang China 14 828 0.9× 530 1.0× 192 0.4× 209 0.7× 381 1.5× 42 1.3k

Countries citing papers authored by Guo Cao

Since Specialization
Citations

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

Fields of papers citing papers by Guo Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guo Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Guo Cao. A scholar is included among the top collaborators of Guo Cao 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 Guo Cao. Guo Cao 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.
2.
Cao, Guo, et al.. (2025). Orthogonal Capsule Network with Meta-Reinforcement Learning for Small Sample Hyperspectral Image Classification. Remote Sensing. 17(2). 215–215. 3 indexed citations
3.
Liu, Yanbo, et al.. (2025). CrowdCL: Unsupervised Crowd Counting Network via Contrastive Learning. IEEE Internet of Things Journal. 12(12). 21704–21719.
4.
Cao, Guo, et al.. (2025). Fourier-Based Spectral–Spatial Generator for Cross-Scene Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–17.
5.
Liu, Yanbo, et al.. (2024). MGFNet: Cross-scene crowd counting via multistage gated fusion network. Neurocomputing. 607. 128431–128431. 2 indexed citations
6.
Liu, Yanbo, et al.. (2024). Semi-Supervised Crowd Counting via Multi-Task Pseudo-Label Self-Correction Strategy. IEEE Transactions on Circuits and Systems for Video Technology. 34(12). 13127–13140. 1 indexed citations
7.
Zhang, Youqiang, et al.. (2024). Ensemble Network-Based Distillation for Hyperspectral Image Classification in the Presence of Label Noise. Remote Sensing. 16(22). 4247–4247. 1 indexed citations
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Liu, Yanbo, et al.. (2023). CCANet: A Collaborative Cross-Modal Attention Network for RGB-D Crowd Counting. IEEE Transactions on Multimedia. 26. 154–165. 27 indexed citations
10.
Shi, Hao, et al.. (2023). F3Net: Fast Fourier Filter Network for Hyperspectral Image Classification. IEEE Transactions on Instrumentation and Measurement. 72. 1–18. 15 indexed citations
11.
Cao, Guo, et al.. (2023). A Metareinforcement-Learning-Based Hyperspectral Image Classification With a Small Sample Set. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 3091–3107. 2 indexed citations
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Liu, Yanbo, et al.. (2022). Lw-Count: An Effective Lightweight Encoding-Decoding Crowd Counting Network. IEEE Transactions on Circuits and Systems for Video Technology. 32(10). 6821–6834. 27 indexed citations
15.
Cao, Guo, et al.. (2020). Application-Aware SDN-Based Iterative Reconfigurable Routing Protocol for Internet of Things (IoT). Sensors. 20(12). 3521–3521. 16 indexed citations
16.
Pu, Cunlai, et al.. (2018). Traffic dynamics on multilayer networks. Digital Communications and Networks. 6(1). 58–63. 19 indexed citations
17.
Ji, Zexuan, Yubo Huang, Quansen Sun, Guo Cao, & Yuhui Zheng. (2017). A Rough Set Bounded Spatially Constrained Asymmetric Gaussian Mixture Model for Image Segmentation. PLoS ONE. 12(1). e0168449–e0168449. 7 indexed citations
18.
Cao, Guo, et al.. (2017). A new difference image creation method based on deep neural networks for change detection in remote-sensing images. International Journal of Remote Sensing. 38(23). 7161–7175. 33 indexed citations
19.
Xu, Huanyu, Quansen Sun, Nan Luo, Guo Cao, & Xia De-shen. (2013). Iterative Nonlocal Total Variation Regularization Method for Image Restoration. PLoS ONE. 8(6). e65865–e65865. 11 indexed citations
20.
Yuan, Mei, et al.. (2011). A systematic gradient-based method for the computation of fingerprint’s orientation field. Computers & Electrical Engineering. 38(5). 1035–1046. 20 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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