Chaoxu Guo

4.1k total citations · 3 hit papers
23 papers, 2.6k citations indexed

About

Chaoxu Guo is a scholar working on Management, Monitoring, Policy and Law, Computer Vision and Pattern Recognition and Civil and Structural Engineering. According to data from OpenAlex, Chaoxu Guo has authored 23 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Management, Monitoring, Policy and Law, 9 papers in Computer Vision and Pattern Recognition and 6 papers in Civil and Structural Engineering. Recurrent topics in Chaoxu Guo's work include Landslides and related hazards (12 papers), Human Pose and Action Recognition (6 papers) and Soil and Unsaturated Flow (5 papers). Chaoxu Guo is often cited by papers focused on Landslides and related hazards (12 papers), Human Pose and Action Recognition (6 papers) and Soil and Unsaturated Flow (5 papers). Chaoxu Guo collaborates with scholars based in China, Hong Kong and Australia. Chaoxu Guo's co-authors include Xiaogang Wang, Hongsheng Li, Li Jiang, Shaoshuai Shi, Zhe Wang, Jianping Shi, Chunhong Pan, Shiming Xiang, Yifei Cui and Bin Fan and has published in prestigious journals such as Pattern Recognition, International Journal of Computer Vision and Engineering Geology.

In The Last Decade

Chaoxu Guo

22 papers receiving 2.5k citations

Hit Papers

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Objec... 2020 2026 2022 2024 2020 2020 2022 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chaoxu Guo China 14 1.7k 812 375 375 345 23 2.6k
Michael Ying Yang Netherlands 29 2.1k 1.3× 830 1.0× 25 0.1× 601 1.6× 201 0.6× 139 3.7k
Joaquín Martínez-Sánchez Spain 29 561 0.3× 642 0.8× 165 0.4× 1.4k 3.7× 105 0.3× 127 2.9k
Hangbin Wu China 20 290 0.2× 212 0.3× 228 0.6× 434 1.2× 62 0.2× 99 1.5k
Srikanth Saripalli United States 28 2.0k 1.2× 2.1k 2.6× 71 0.2× 313 0.8× 31 0.1× 96 3.3k
Sander Oude Elberink Netherlands 29 938 0.6× 753 0.9× 66 0.2× 2.2k 5.8× 180 0.5× 105 3.8k
Xianfang Sun United Kingdom 23 1.2k 0.7× 303 0.4× 32 0.1× 188 0.5× 726 2.1× 102 2.2k
Derek D. Lichti Canada 35 1.2k 0.7× 937 1.2× 126 0.3× 2.5k 6.6× 145 0.4× 172 4.0k
Zhen Dong China 32 810 0.5× 1.1k 1.3× 48 0.1× 2.4k 6.3× 567 1.6× 140 3.6k
Ruofei Zhong China 23 492 0.3× 348 0.4× 31 0.1× 858 2.3× 116 0.3× 123 2.2k
Yusheng Xu China 30 656 0.4× 962 1.2× 21 0.1× 1.1k 3.0× 386 1.1× 118 2.6k

Countries citing papers authored by Chaoxu Guo

Since Specialization
Citations

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

Fields of papers citing papers by Chaoxu Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chaoxu Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Chaoxu Guo. A scholar is included among the top collaborators of Chaoxu 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 Chaoxu Guo. Chaoxu 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.
Guo, Chaoxu, et al.. (2025). Case study on application of polymer in slope reinforcement and field direct shear test. Results in Engineering. 27. 106218–106218.
2.
Guo, Chaoxu, et al.. (2025). Improved in-situ direct shear test of rock mass structural plane and its application to stability analysis of bedding slope. Case Studies in Construction Materials. 23. e04976–e04976. 2 indexed citations
3.
Dou, Hongqiang, Yongda Chen, Yongxin Sun, & Chaoxu Guo. (2024). Regional dynamic early warning model for rainfall-induced landslide in Fujian, China. Geomatics Natural Hazards and Risk. 15(1). 2 indexed citations
4.
Huang, Siyi, Hongqiang Dou, Wenbin Jian, Chaoxu Guo, & Yongxin Sun. (2023). Spatial prediction of the geological hazard vulnerability of mountain road network using machine learning algorithms. Geomatics Natural Hazards and Risk. 14(1). 13 indexed citations
5.
Dou, Hongqiang, et al.. (2023). Influences of non-landslide sample selection strategies on landslide susceptibility mapping by machine learning. Geomatics Natural Hazards and Risk. 14(1). 23 indexed citations
6.
Shi, Shaoshuai, Li Jiang, Jiajun Deng, et al.. (2022). PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection. International Journal of Computer Vision. 131(2). 531–551. 268 indexed citations breakdown →
7.
Guo, Chaoxu, et al.. (2022). A GIS-based probabilistic analysis model for rainfall-induced shallow landslides in mountainous areas. Environmental Earth Sciences. 81(17). 13 indexed citations
8.
Guo, Chaoxu, Bin Fan, Qian Zhang, Shiming Xiang, & Chunhong Pan. (2020). AugFPN: Improving Multi-Scale Feature Learning for Object Detection. 12592–12601. 384 indexed citations breakdown →
9.
Guo, Chaoxu & Yifei Cui. (2020). Pore structure characteristics of debris flow source material in the Wenchuan earthquake area. Engineering Geology. 267. 105499–105499. 60 indexed citations
10.
Shi, Shaoshuai, Chaoxu Guo, Li Jiang, et al.. (2020). PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection. 10526–10535. 1319 indexed citations breakdown →
11.
Jiang, Zhengkai, Peng Gao, Chaoxu Guo, et al.. (2019). Video Object Detection with Locally-Weighted Deformable Neighbors. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 8529–8536. 34 indexed citations
12.
Cui, Yifei, Yao Jiang, & Chaoxu Guo. (2019). Investigation of the initiation of shallow failure in widely graded loose soil slopes considering interstitial flow and surface runoff. Landslides. 16(4). 815–828. 69 indexed citations
13.
Guo, Chaoxu, et al.. (2018). Mgn: Multi-Glimpse Network for Action Recognition. 1932–1936. 1 indexed citations
14.
Yu, Tingzhao, et al.. (2018). Pseudo low rank video representation. Pattern Recognition. 85. 50–59. 13 indexed citations
15.
Yu, Tingzhao, Chaoxu Guo, Lingfeng Wang, Shiming Xiang, & Chunhong Pan. (2018). Self-Paced AutoEncoder. IEEE Signal Processing Letters. 25(7). 1054–1058. 15 indexed citations
16.
Cui, Yifei, et al.. (2017). Experimental study on the moving characteristics of fine grains in wide grading unconsolidated soil under heavy rainfall. Journal of Mountain Science. 14(3). 417–431. 118 indexed citations
17.
Zhou, Jia‐wen, Fu-gang Xu, & Chaoxu Guo. (2016). Effects of model parameters, topography, and scale on the mass movement processes of debris avalanches using the discrete element method. Arabian Journal of Geosciences. 9(5). 12 indexed citations
18.
Zhou, Jia‐wen, et al.. (2015). Discrete element modeling of the mass movement and loose material supplying the gully process of a debris avalanche in the Bayi Gully, Southwest China. Journal of Asian Earth Sciences. 99. 95–111. 40 indexed citations
19.
Guo, Chaoxu, Jia‐wen Zhou, Peng Cui, Ming‐hui Hao, & Fu-gang Xu. (2014). A theoretical model for the initiation of debris flow in unconsolidated soil under hydrodynamic conditions. 10 indexed citations
20.
Cui, Peng, Chaoxu Guo, Jia‐wen Zhou, Ming‐hui Hao, & Fu-gang Xu. (2014). The mechanisms behind shallow failures in slopes comprised of landslide deposits. Engineering Geology. 180. 34–44. 90 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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