Yujun Cai

3.5k total citations · 2 hit papers
36 papers, 1.7k citations indexed

About

Yujun Cai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Yujun Cai has authored 36 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 6 papers in Control and Systems Engineering. Recurrent topics in Yujun Cai's work include Human Pose and Action Recognition (8 papers), Hand Gesture Recognition Systems (6 papers) and Advanced Graph Neural Networks (5 papers). Yujun Cai is often cited by papers focused on Human Pose and Action Recognition (8 papers), Hand Gesture Recognition Systems (6 papers) and Advanced Graph Neural Networks (5 papers). Yujun Cai collaborates with scholars based in Singapore, China and United States. Yujun Cai's co-authors include Chunhua Shen, Guosheng Lin, Chi Zhang, Junsong Yuan, Liuhao Ge, Jun Liu, Jianfei Cai, Junwu Weng, Tat‐Jen Cham and Nadia Magnenat‐Thalmann and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Frontiers in Psychology and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Yujun Cai

32 papers receiving 1.7k citations

Hit Papers

DeepEMD: Few-Shot Image Classification With Differentiabl... 2019 2026 2021 2023 2020 2019 100 200 300 400 500

Peers

Yujun Cai
Comparison fields: 5 of 109
  • Computer Vision and Pattern Recognition 980
  • Artificial Intelligence 831
  • Human-Computer Interaction 304
  • Control and Systems Engineering 171
  • Biomedical Engineering 143
Replace Shuangquan Wang with:
Shuangquan Wang China
S. Ranganath Singapore
Dimitrios Kosmopoulos Greece
Francesca Odone Italy
Esteban Clua Brazil
Wenqiang Zhang China
François Brémond France
Yaser Yacoob United States
M. Kalaiselvi Geetha India
Jhing-Fa Wang Taiwan
Shuangquan Wang China View profile →
Citations per field, relative to Yujun Cai
Yujun Cai · 1×
Citations per year, relative to Yujun Cai
Yujun Cai · 1×

Countries citing papers authored by Yujun Cai

Since Specialization
Citations

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

Fields of papers citing papers by Yujun Cai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yujun Cai

This figure shows the co-authorship network connecting the top 25 collaborators of Yujun Cai. A scholar is included among the top collaborators of Yujun Cai 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 Yujun Cai. Yujun Cai 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 0
2 0
3 1
4 0
5 1
6 22
7 0
8 10
9 30
10 1
11 11
12 17
13 1
14 3
15 12
16 27
17
Adaptive Data Augmentation on Temporal Graphs
14
18 79
19 6
20 43

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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