Shuran Song

25.0k citations
66 papers · 8.2k indexed · 11 hit papers · h-index 30

Shuran Song

63 papers receiving 7.9k citations

Hit Papers

3D ShapeNets: A deep representation for volumetric shapes20152026201820222015201520172017201750010001.5k2.0k2.5k

Peers

Shuran Song
Comparison fields: 5 of 139
  • Computer Vision and Pattern Recognition 4.9k
  • Computational Mechanics 2.6k
  • Geology 2.1k
  • Aerospace Engineering 2.0k
  • Control and Systems Engineering 1.4k
Replace Kaichun Mo with:
Kaichun Mo United States
Matthias Nießner Germany
Federico Tombari Germany
Manolis Savva United States
Long Quan China
Li Jiang China
Ruigang Yang United States
Yu‐Kun Lai United Kingdom
Angela Dai Germany
Niloy J. Mitra United Kingdom
Shuran Song relative to Kaichun Mo United States Kaichun Mo's profile →
Citations per field
00.5×12.0×
Kaichun Mo · 1×
Citations per year

Countries citing papers authored by Shuran Song

Since Specialization
Citations

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

Fields of papers citing papers by Shuran Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuran Song

This figure shows the co-authorship network connecting the top 25 collaborators of Shuran Song. A scholar is included among the top collaborators of Shuran Song 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 Shuran Song. Shuran Song 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 3
2 3
3
RoCo: Dialectic Multi-Robot Collaboration with Large Language Modelsbreakdown →
62
4 4
5
Foundation models in robotics: Applications, challenges, and the futurebreakdown →
73
6 7
7 50
8
Diffusion Policy: Visuomotor Policy Learning via Action Diffusionbreakdown →
204
9
Leveraging SE(3) Equivariance for Self-supervised Category-Level Object Pose Estimation from Point Clouds
12
10
Learning 3D Dynamic Scene Representations for Robot Manipulation
2
11
Fit2Form: 3D Generative Model for Robot Gripper Form Design
2
12 47
13 51
14
Influence of pressure and pore diameter on droplet parameters of hollow cone nozzle in pipeline spray
4
15
SUN RGB-D: A RGB-D scene understanding benchmark suitebreakdown →
1143
16
3D ShapeNets: A deep representation for volumetric shapesbreakdown →
2728
17
3D ShapeNets for 2.5D Object Recognition and Next-Best-View Prediction
52
18 188
19
Numerical simulation and experiment of structural optimization for air-blast sprayer.
3
20
Circular chain ropeway for cargo transportation in mountain citrus orchard.
4

About Shuran Song

Shuran Song is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Geology, having authored 66 papers that have together received 8.2k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (27 papers), Human Pose and Action Recognition (13 papers) and Advanced Vision and Imaging (11 papers). The work is most often cited by research in Geology (2.1k citations), Computer Graphics and Computer-Aided Design (849 citations) and Computer Vision and Pattern Recognition (4.9k citations). Shuran Song has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Jianxiong Xiao, Andy Zeng, Xiaoou Tang, Zhirong Wu, Aditya Khosla, Fisher Yu, Linguang Zhang, Thomas Funkhouser, Manolis Savva and Yinda Zhang. Their work appears in journals such as Frontiers in Plant Science, The International Journal of Robotics Research and IEEE Transactions on Robotics.

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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