Wenyue Guo

632 total citations
25 papers, 486 citations indexed

About

Wenyue Guo is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Atmospheric Science. According to data from OpenAlex, Wenyue Guo has authored 25 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Media Technology, 13 papers in Computer Vision and Pattern Recognition and 12 papers in Atmospheric Science. Recurrent topics in Wenyue Guo's work include Remote-Sensing Image Classification (14 papers), Remote Sensing and Land Use (11 papers) and Automated Road and Building Extraction (6 papers). Wenyue Guo is often cited by papers focused on Remote-Sensing Image Classification (14 papers), Remote Sensing and Land Use (11 papers) and Automated Road and Building Extraction (6 papers). Wenyue Guo collaborates with scholars based in China and Germany. Wenyue Guo's co-authors include Anzhu Yu, Bing Liu, Kuiliang Gao, Ruirui Wang, Chunping Qiu, Xuchu Yu, Xiaochong Tong, Michael Schmitt, Xin Chen and Xin Chen and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and Remote Sensing.

In The Last Decade

Wenyue Guo

21 papers receiving 477 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenyue Guo China 10 297 195 176 100 82 25 486
Yuanfu Gong China 8 309 1.0× 234 1.2× 116 0.7× 52 0.5× 71 0.9× 9 469
Hong Tang China 13 149 0.5× 119 0.6× 87 0.5× 78 0.8× 118 1.4× 44 402
Ken Sakurada Japan 10 231 0.8× 242 1.2× 104 0.6× 38 0.4× 45 0.5× 25 467
Wenqing Feng China 13 193 0.6× 121 0.6× 127 0.7× 98 1.0× 111 1.4× 36 476
Jie Mei China 11 236 0.8× 182 0.9× 87 0.5× 164 1.6× 241 2.9× 24 588
Maria Vakalopoulou France 10 249 0.8× 116 0.6× 129 0.7× 54 0.5× 57 0.7× 16 437
Hao Cui China 11 229 0.8× 177 0.9× 92 0.5× 62 0.6× 80 1.0× 26 451
Xianping Ma China 10 315 1.1× 264 1.4× 98 0.6× 65 0.7× 61 0.7× 28 551
Mi Zhang China 10 369 1.2× 143 0.7× 230 1.3× 54 0.5× 52 0.6× 32 527
Dejun Feng China 13 168 0.6× 157 0.8× 61 0.3× 134 1.3× 106 1.3× 27 397

Countries citing papers authored by Wenyue Guo

Since Specialization
Citations

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

Fields of papers citing papers by Wenyue Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenyue Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Wenyue Guo. A scholar is included among the top collaborators of Wenyue 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 Wenyue Guo. Wenyue Guo 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.
Yu, Anzhu, et al.. (2025). M 2 Caps: learning multi-modal capsules of optical and SAR images for land cover classification. International Journal of Digital Earth. 18(1). 1 indexed citations
2.
Qun, Sun, et al.. (2025). Multi-modal DEM super-resolution using relative depth: A new benchmark and beyond. International Journal of Applied Earth Observation and Geoinformation. 144. 104865–104865.
3.
Yu, Anzhu, et al.. (2024). Refined equivalent pinhole model for large-scale 3D reconstruction from spaceborne CCD imagery. International Journal of Applied Earth Observation and Geoinformation. 134. 104164–104164.
4.
Liu, Bing, et al.. (2024). Depth Feature Fusion Network for Building Extraction in Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 16577–16591. 5 indexed citations
5.
Yu, Anzhu, et al.. (2024). Sea Ice Extraction via Remote Sensing Imagery: Algorithms, Datasets, Applications and Challenges. Remote Sensing. 16(5). 842–842. 8 indexed citations
6.
Yu, Anzhu, et al.. (2024). Updating Road Maps at City Scale With Remote Sensed Images and Existing Vector Maps. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–21. 9 indexed citations
7.
Gao, Kuiliang, et al.. (2023). Integrating Multiple Sources Knowledge for Class Asymmetry Domain Adaptation Segmentation of Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–18. 16 indexed citations
8.
Qun, Sun, et al.. (2023). Leveraging Deep Convolutional Neural Network for Point Symbol Recognition in Scanned Topographic Maps. ISPRS International Journal of Geo-Information. 12(3). 128–128. 5 indexed citations
9.
Yu, Anzhu, et al.. (2023). Deep Learning Methods for Semantic Segmentation in Remote Sensing with Small Data: A Survey. Remote Sensing. 15(20). 4987–4987. 20 indexed citations
10.
Gao, Kuiliang, Anzhu Yu, Xiong You, et al.. (2023). Learning General-Purpose Representations for Cross-Domain Hyperspectral Images Classification with Small Samples. Remote Sensing. 15(4). 1080–1080. 5 indexed citations
11.
Li, Yuanfu, et al.. (2023). A Contour Line Group Simplification Method Based on Classified Terrain Features. ISPRS International Journal of Geo-Information. 12(2). 71–71.
12.
Chen, Xin, Qun Sun, Wenyue Guo, Chunping Qiu, & Anzhu Yu. (2022). GA-Net: A geometry prior assisted neural network for road extraction. International Journal of Applied Earth Observation and Geoinformation. 114. 103004–103004. 31 indexed citations
13.
Qiu, Chunping, et al.. (2022). Multiscale Feature Learning by Transformer for Building Extraction From Satellite Images. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 79 indexed citations
14.
Yu, Anzhu, et al.. (2022). Pixel-Level Self-Supervised Learning for Semi-Supervised Building Extraction From Remote Sensing Images. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 6 indexed citations
15.
Guo, Wenyue, et al.. (2021). Predicting User Activity Intensity Using Geographic Interactions Based on Social Media Check-In Data. ISPRS International Journal of Geo-Information. 10(8). 555–555. 2 indexed citations
16.
Yu, Anzhu, et al.. (2021). Attention aware cost volume pyramid based multi-view stereo network for 3D reconstruction. ISPRS Journal of Photogrammetry and Remote Sensing. 175. 448–460. 52 indexed citations
17.
Gao, Kuiliang, Wenyue Guo, Xuchu Yu, et al.. (2020). Deep Induction Network for Small Samples Classification of Hyperspectral Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 13. 3462–3477. 32 indexed citations
18.
Liu, Bing, Anzhu Yu, Xuchu Yu, et al.. (2020). Deep Multiview Learning for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 59(9). 7758–7772. 109 indexed citations
19.
Liu, Bing, et al.. (2020). Semisupervised graph convolutional network for hyperspectral image classification. Journal of Applied Remote Sensing. 14(2). 1–1. 26 indexed citations
20.
Yu, Anzhu, et al.. (2017). Bias Compensation for Rational Function Model Based on Total Least Squares. The Photogrammetric Record. 32(157). 48–60.

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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