Yibing Zhan

2.7k total citations · 2 hit papers
105 papers, 1.6k citations indexed

About

Yibing Zhan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Yibing Zhan has authored 105 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computer Vision and Pattern Recognition, 56 papers in Artificial Intelligence and 11 papers in Media Technology. Recurrent topics in Yibing Zhan's work include Multimodal Machine Learning Applications (26 papers), Advanced Graph Neural Networks (20 papers) and Domain Adaptation and Few-Shot Learning (20 papers). Yibing Zhan is often cited by papers focused on Multimodal Machine Learning Applications (26 papers), Advanced Graph Neural Networks (20 papers) and Domain Adaptation and Few-Shot Learning (20 papers). Yibing Zhan collaborates with scholars based in China, Australia and Singapore. Yibing Zhan's co-authors include Bo Du, Dacheng Tao, Baosheng Yu, Lixiang Ru, Rong Zhang, Jun Yu, Zhe Chen, Hao Zhou, Heliang Zheng and Dacheng Tao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Yibing Zhan

90 papers receiving 1.6k citations

Hit Papers

Learning Affinity from Attention: End-to-End Weakly-Super... 2022 2026 2023 2024 2022 2022 50 100 150

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 Longlong Jing with:
Longlong Jing United States
Carl Doersch United States
Junqing Yu China
Dacheng Tao Australia
Xiaoyi Dong China
Wenhui Li China
Hongyang Chao China
Tat‐Jen Cham Singapore
Bo Dai China
Chun-Fu Richard Chen United States
Longlong Jing United States View profile →
Citations per field, relative to Yibing Zhan
Yibing Zhan · 1×
Citations per year, relative to Yibing Zhan
Yibing Zhan · 1×

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
# Work Indexed 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

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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