C. Karen Liu

4.3k citations
89 papers · 2.3k indexed · 1 hit paper · h-index 28

C. Karen Liu

84 papers receiving 2.3k citations

Hit Papers

EDGE: Editable Dance Generation From Music1042023202620242025255075100

Peers

C. Karen Liu
Comparison fields: 5 of 146
  • Control and Systems Engineering 1.1k
  • Computer Vision and Pattern Recognition 864
  • Human-Computer Interaction 147
  • Computer Graphics and Computer-Aided Design 77
  • Biomedical Engineering 574
Replace Yuechao Wang with:
Yuechao Wang China
Zhan Li China
Ruifeng Li China
Libin Liu China
Alexander Mamishev United States
Dequn Li China
Feng Lu China
Meng Chen China
Sandipan Mishra United States
Joo‐Ho Lee Japan
C. Karen Liu relative to Yuechao Wang China Yuechao Wang's profile →
Citations per field
00.5×9.6×
Yuechao Wang · 1×
Citations per year

Countries citing papers authored by C. Karen Liu

Since Specialization
Citations

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

Fields of papers citing papers by C. Karen Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Karen Liu. 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 C. Karen Liu. The network helps show where C. Karen Liu may publish in the future.

Co-authorship network

The 25 scholars most cited alongside C. Karen Liu, 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 C. Karen Liu Line = papers co-authored together C. Karen Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20260
2 20252
3 20251
4 20251
5 20251
6 20246
7 20248
8 20241
9 20241
10 20241
11 20231
12 20232
13 202317
14 202225
15
Policy Transfer with Strategy Optimization
20188
16 2018161
17 201761
18 201729
19 201320
20
Proceedings of the 2011 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
20114

About C. Karen Liu

C. Karen Liu is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Physical Therapy, Sports Therapy and Rehabilitation and Human-Computer Interaction, having authored 89 papers that have together received 2.3k indexed citations. Recurring topics across this work include Human Motion and Animation (39 papers), Human Pose and Action Recognition (32 papers), Robot Manipulation and Learning (18 papers), 3D Shape Modeling and Analysis (14 papers), Video Analysis and Summarization (8 papers), Robotic Locomotion and Control (7 papers), Computer Graphics and Visualization Techniques (6 papers) and Prosthetics and Rehabilitation Robotics (6 papers). The work is most often cited by research in Control and Systems Engineering (1.1k citations), Computer Vision and Pattern Recognition (864 citations), Human-Computer Interaction (147 citations), Computer Graphics and Computer-Aided Design (77 citations) and Biomedical Engineering (574 citations). C. Karen Liu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Michael G. Littman, Greg Turk, Jie Tan, Yoon Yeo, Yunfei Bai, Wenhao Yu, Sara A. Abouelmagd, Eun Jung Cho, Joonyoung Park and Sehoon Ha. Their work appears in journals such as ACM Transactions on Graphics, IEEE Robotics and Automation Letters, Computer Graphics Forum, Molecular Pharmaceutics and PLoS Computational Biology.

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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Rankless by CCL
2026