Jin Yuan

600 citations
10 papers · 374 indexed · 1 hit paper · h-index 7
Topics
Multimodal Machine Learning Applications (4 papers)Domain Adaptation and Few-Shot Learning (4 papers)Text and Document Classification Technologies (2 papers)
Partner nations
ChinaUnited States

In The Last Decade

Jin Yuan

8 papers receiving 372 citations

Hit Papers

A Survey of Visual Transformers2023202620242025202350100150200250

Peers

Jin Yuan
Comparison fields: 5 of 87
  • Computer Vision and Pattern Recognition 157
  • Artificial Intelligence 117
  • Media Technology 50
  • Biomedical Engineering 42
  • Aerospace Engineering 32
Replace Zhiqiang He with:
Zhiqiang He China
Xianhui Liu China
Miao Sun China
Alvin Wan United States
Hyunjae Lee South Korea
Chang Wen China
Gunnam Suryanarayana India
Huaxin Xiao China
Qinghao Hu China
Jin Yuan relative to Zhiqiang He China Zhiqiang He's profile →
Citations per field
00.5×1.5×
Zhiqiang He · 1×
Citations per year

Countries citing papers authored by Jin Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Jin Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Yuan

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 9
2
A Survey of Visual Transformersbreakdown →
281
3 19
4 15
5 25
6 8
7 16
8 0
9 0
10
Electric Locomotive Real-time Monitoring System Based on GPRS
1

About Jin Yuan

Jin Yuan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 10 papers that have together received 374 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Text and Document Classification Technologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (157 citations), Media Technology (50 citations) and Artificial Intelligence (117 citations). Jin Yuan has collaborated with scholars based in China and United States. Frequent co-authors include Zhongchao Shi, Jianping Fan, Yao Zhang, Zhiqiang He, Y.S. Zhang, Yixin Wang, Xin Geng, Yong Rui, Yuning Zhang and Shikai Chen. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing and IEEE Transactions on Multimedia.

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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