Yulan Guo

15.8k citations
168 papers · 9.6k indexed · 9 hit papers · h-index 46

Yulan Guo

159 papers receiving 9.4k citations

Hit Papers

Deep Learning for 3D Point Clouds: A Survey2014202620182022202020202014201520164008001.2k

Peers

Yulan Guo
Comparison fields: 5 of 168
  • Computer Vision and Pattern Recognition 5.8k
  • Geology 2.9k
  • Computational Mechanics 2.7k
  • Aerospace Engineering 2.4k
  • Environmental Engineering 2.3k
Replace Fisher Yu with:
Fisher Yu United States
Marc Pollefeys Switzerland
Long Quan China
Hongdong Li Australia
Li Jiang China
Vincent Lepetit Switzerland
Justin Solomon United States
Bastian Leibe Germany
Andreas Geiger Germany
Shiming Xiang China
Yulan Guo relative to Fisher Yu United States Fisher Yu's profile →
Citations per field
00.5×2.8×
Fisher Yu · 1×
Citations per year

Countries citing papers authored by Yulan Guo

Since Specialization
Citations

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

Fields of papers citing papers by Yulan Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yulan Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Yulan Guo. A scholar is included among the top collaborators of Yulan 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 Yulan Guo. Yulan 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
#WorkIndexed citations
1 0
2 5
3 6
4 8
5 45
6 12
7 7
8 8
9 8
10 96
11 16
12 16
13
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Cloudsbreakdown →
1288
14 102
15 108
16 92
17 31
18 12
19 103
20 22

About Yulan Guo

Yulan Guo is a scholar working on Geology, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 168 papers that have together received 9.6k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (44 papers), Robotics and Sensor-Based Localization (40 papers) and 3D Surveying and Cultural Heritage (35 papers). The work is most often cited by research in Geology (2.9k citations), Computer Vision and Pattern Recognition (5.8k citations) and Environmental Engineering (2.3k citations). Yulan Guo has collaborated with scholars based in China, Australia and United Kingdom. Frequent co-authors include Qingyong Hu, Mohammed Bennamoun, Li Liu, Wei An, Hao Liu, Jianwei Wan, Hanyun Wang, Ferdous Sohel, Min Lu and Andrew Markham. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

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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