Jiaxin Chen

847 total citations
22 papers, 446 citations indexed

About

Jiaxin Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Jiaxin Chen has authored 22 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 3 papers in Computer Networks and Communications. Recurrent topics in Jiaxin Chen's work include Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (5 papers) and Anomaly Detection Techniques and Applications (3 papers). Jiaxin Chen is often cited by papers focused on Domain Adaptation and Few-Shot Learning (7 papers), Multimodal Machine Learning Applications (5 papers) and Anomaly Detection Techniques and Applications (3 papers). Jiaxin Chen collaborates with scholars based in China, United Arab Emirates and Hong Kong. Jiaxin Chen's co-authors include Ling Shao, Jie Qin, Li Liu, Fan Zhu, Xingsong Hou, Zhao Zhang, Jiaxi Wu, Di Huang, Yunhong Wang and Bingbing Ni and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Sensors.

In The Last Decade

Jiaxin Chen

19 papers receiving 442 citations

Peers

Jiaxin Chen
Comparison fields: 5 of 75
  • Artificial Intelligence 286
  • Computer Vision and Pattern Recognition 281
  • Radiology, Nuclear Medicine and Imaging 37
  • Biomedical Engineering 32
  • Control and Systems Engineering 27
Replace Yemin Shi with:
Yemin Shi China
Shuhao Cui China
Ser Nam Lim United States
Baigui Sun China
Peizhong Liu China
Jun Wen China
Devraj Mandal India
Wankou Yang China
Yemin Shi China View profile →
Citations per field, relative to Jiaxin Chen
Jiaxin Chen · 1×
Citations per year, relative to Jiaxin Chen
Jiaxin Chen · 1×

Countries citing papers authored by Jiaxin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jiaxin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiaxin Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Jiaxin Chen. A scholar is included among the top collaborators of Jiaxin Chen 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 Jiaxin Chen. Jiaxin Chen 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 1
2 0
3 0
4 8
5 10
6 1
7 13
8 0
9
A Closer Look at the Training Strategy for Modern Meta-Learning
4
10 147
11 23
12 1
13 5
14 1
15 3
16 27
17 97
18 23
19 11
20 5

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

Rankless by CCL
2026