Chen Ju

1.1k citations
33 papers · 753 · 1 hit paper · h-index 12

Impact in

    • Human Pose and Action Recognition
    • Multimodal Machine Learning Applications
    • Advanced Neural Network Applications
    • Domain Adaptation and Few-Shot Learning
    • Neural Networks and Applications
    • Metaheuristic Optimization Algorithms Research
    • Anomaly Detection Techniques and Applications

Papers in

Chen Ju

31 papers receiving 743 citations

Chen Ju's Hit Papers

Prompting Visual-Language Models for Efficient Video Understanding 2022 · 289 citations
2890+1+2Years since publication50100150200250

Peers

Chen Ju
Comparison fields: 5 of 47
  • Computer Vision and Pattern Recognition 477
  • Artificial Intelligence 158
  • Information Systems 82
  • Signal Processing 21
  • Software 11
Replace Gerald Holl with:
Gerald Holl Austria
Hao Xiao China
Vishnu Chalavadi India
Ziqiang Wang China
Tianqi Zhang China
Qing Rao Germany
Zhenbo Xu China
J.H. Kim South Korea
Qinkai Zheng China
Chen Ju relative to Gerald Holl Austria Gerald Holl's profile →
Citations per field
00.5×2×3×4.1×
Gerald Holl · 1×
Citations per year

Countries citing papers authored by Chen Ju

Since Specialization
Citations

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

Fields of papers citing papers by Chen Ju

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chen Ju, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chen Ju Line = papers co-authored together Chen Ju links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prompting Visual-Language Models for Efficient Video Understanding
Hit paper breakdown →
2022289
2 2020141
3 201839
4 202232
5 202131
6 202425
7 202222
8 202322
9 201521
10 202220
11 202217
12 202214
13 202211
14 202511
15 20249
16 20247
17 20176
18 20216
19 20246
20 20195

About Chen Ju

Chen Ju is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Computer Networks and Communications and Software, having authored 33 papers that have together received 753 indexed citations. Recurring topics across this work include Neural Networks and Applications (4 papers), Human Pose and Action Recognition (4 papers), Multimodal Machine Learning Applications (4 papers), Advanced Neural Network Applications (3 papers), Constraint Satisfaction and Optimization (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Advanced Chemical Sensor Technologies (2 papers) and Cloud Data Security Solutions (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (477 citations), Artificial Intelligence (158 citations), Information Systems (82 citations), Signal Processing (21 citations) and Software (11 citations). Chen Ju has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Ya Zhang, Weidi Xie, Tengda Han, Yanfeng Wang, Peisen Zhao, Qi Tian, Lingxi Xie, Mohd Shareduwan Mohd Kasihmuddin, Mohd. Asyraf Mansor and Siheng Chen. Their work appears in journals such as Advances in Engineering Software, Engineering Applications of Artificial Intelligence, International Journal of Computer Vision, Journal of Food Composition and Analysis 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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