Yibing Zhan

2.7k citations
105 papers · 1.6k indexed · 2 hit papers · h-index 22
Topics
Multimodal Machine Learning Applications (26 papers)Advanced Graph Neural Networks (20 papers)Domain Adaptation and Few-Shot Learning (20 papers)
Partner nations
ChinaAustraliaSingapore

In The Last Decade

Yibing Zhan

90 papers receiving 1.6k citations

Hit Papers

Learning Affinity from Attention: End-to-End Weakly-Super...20222026202320242022202250100150

Peers

Yibing Zhan
Comparison fields: 5 of 102
  • Computer Vision and Pattern Recognition 1.0k
  • Artificial Intelligence 628
  • Media Technology 230
  • Computational Mechanics 119
  • Geology 82
Replace Carl Doersch with:
Carl Doersch United States
Junqing Yu China
Longlong Jing United States
Kim–Hui Yap Singapore
Qiang Wang China
Hongyang Chao China
Xiaoyi Dong China
Wenhui Li China
Loong‐Fah Cheong Singapore
Joon‐Young Lee South Korea
Yibing Zhan relative to Carl Doersch United States Carl Doersch's profile →
Citations per field
00.5×
Carl Doersch · 1×
Citations per year

Countries citing papers authored by Yibing Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Yibing Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yibing Zhan

This figure shows the co-authorship network connecting the top 25 collaborators of Yibing Zhan. A scholar is included among the top collaborators of Yibing Zhan 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 Yibing Zhan. Yibing Zhan 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 5
2 1
3 1
4 2
5 0
6 2
7 0
8 7
9 0
10 3
11 3
12 4
13 3
14 0
15 62
16 4
17 22
18 5
19 8
20
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels
19

About Yibing Zhan

Yibing Zhan is a scholar working on Computer Vision and Pattern Recognition, Health Informatics and Artificial Intelligence, having authored 105 papers that have together received 1.6k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (26 papers), Advanced Graph Neural Networks (20 papers) and Domain Adaptation and Few-Shot Learning (20 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Media Technology (230 citations) and Artificial Intelligence (628 citations). Yibing Zhan has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Bo Du, Dacheng Tao, Baosheng Yu, Lixiang Ru, Rong Zhang, Jun Yu, Zhe Chen, Hao Zhou, Heliang Zheng and Dacheng Tao. 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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