Zaiyang Yu

499 citations
20 papers · 313 · 1 hit paper · h-index 8

Impact in

Papers in

Zaiyang Yu

18 papers receiving 303 citations

Zaiyang Yu's Hit Papers

Cross-modal knowledge transfer for 3D point clouds via graph offset prediction 2025 · 26 citations
260Years since publication510152025

Peers

Zaiyang Yu
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 144
  • Media Technology 26
  • Computer Graphics and Computer-Aided Design 10
  • Human-Computer Interaction 13
  • Artificial Intelligence 66
Replace Qingjun Wang with:
Qingjun Wang China
Guoliang Luo China
Yilun Du China
Shafin Rahman Bangladesh
Allah Bux Sargano Pakistan
Saurabh Maheshwari India
Antoine Manzanera France
Wenliang Zhao China
Zaiyang Yu relative to Qingjun Wang China Qingjun Wang's profile →
Citations per field
00.5×5.5×
Qingjun Wang · 1×
Citations per year

Countries citing papers authored by Zaiyang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Zaiyang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Zaiyang Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Zaiyang Yu Line = papers co-authored together Zaiyang Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202293
2 202358
3 202437
4 201629
5 202326
6
Cross-modal knowledge transfer for 3D point clouds via graph offset prediction
Hit paper breakdown →
202526
7 202414
8 20228
9 20246
10 20233
11 20213
12 20232
13 20242
14 20232
15 20231
16
Short-term Traffic Flow Forecast Based on the Gaussian Kernel
20131
17 20221
18 20241
19 20250
20 20210

About Zaiyang Yu

Zaiyang Yu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Molecular Biology, Geology and Biomedical Engineering, having authored 20 papers that have together received 313 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (6 papers), Advanced Neural Network Applications (4 papers), Human Pose and Action Recognition (4 papers), 3D Surveying and Cultural Heritage (3 papers), Video Surveillance and Tracking Methods (3 papers), Remote Sensing and LiDAR Applications (2 papers), Moyamoya disease diagnosis and treatment (1 paper) and Multimodal Machine Learning Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (144 citations), Media Technology (26 citations), Computer Graphics and Computer-Aided Design (10 citations), Human-Computer Interaction (13 citations) and Artificial Intelligence (66 citations). Zaiyang Yu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Xin Ning, Weijun Li, Lusi Li, Xiao Bai, Prayag Tiwari, Yuebao Wang, Changshuo Wang, Jinlong Xie, Xu Zhang and Dongqing Wang. Their work appears in journals such as Information Fusion, Heliyon, Pattern Recognition, IEEE Transactions on Circuits and Systems for Video Technology and International Journal of Biological Macromolecules.

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.

Explore authors with similar magnitude of impact