Zetong Yang

2.5k citations
7 papers · 1.4k indexed · 2 hit papers · h-index 6
Topics
Advanced Neural Network Applications (4 papers)Robotics and Sensor-Based Localization (4 papers)3D Shape Modeling and Analysis (3 papers)
Journals
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Rare & Special e-Zone (The Hong Kong University of Science and Technology)

In The Last Decade

Zetong Yang

7 papers receiving 1.4k citations

Hit Papers

3DSSD: Point-Based 3D Single Stage Object Detector201920262021202320202019200400600

Peers

Zetong Yang
Comparison fields: 5 of 46
  • Computer Vision and Pattern Recognition 1.2k
  • Aerospace Engineering 665
  • Environmental Engineering 305
  • Computational Mechanics 301
  • Geology 268
Replace Tianwei Yin with:
Tianwei Yin United States
Melissa Mozifian Canada
Ignacio Vizzo Germany
Zeyu Hu China
Louis Wiesmann Germany
Divyansh Garg United States
Chenye Guan China
Fangzhou Hong Singapore
Benedikt Mersch Germany
Jiageng Mao Hong Kong
Zetong Yang relative to Tianwei Yin United States Tianwei Yin's profile →
Citations per field
00.5×5.6×
Tianwei Yin · 1×
Citations per year

Countries citing papers authored by Zetong Yang

Since Specialization
Citations

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

Fields of papers citing papers by Zetong Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zetong Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Zetong Yang. A scholar is included among the top collaborators of Zetong Yang 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 Zetong Yang. Zetong Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 16
2 2
3 8
4 37
5 71
6
3DSSD: Point-Based 3D Single Stage Object Detectorbreakdown →
703
7
STD: Sparse-to-Dense 3D Object Detector for Point Cloudbreakdown →
569

About Zetong Yang

Zetong Yang is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Geology, having authored 7 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (4 papers), Robotics and Sensor-Based Localization (4 papers) and 3D Shape Modeling and Analysis (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.2k citations), Geology (268 citations) and Aerospace Engineering (665 citations). Zetong Yang has collaborated with scholars based in Hong Kong, United States and Germany. Frequent co-authors include Jiaya Jia, Yanan Sun, Shu Liu, Xiaoyong Shen, Zhifeng Chen, Yin Zhou, Jiquan Ngiam, Yanan Sun, Bernt Schiele and Li Jiang. Their work appears in journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

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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