Lixin Yang
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 5%
- Human-Computer Interaction top 2%
- Computational Mechanics top 10%
- Biomedical Engineering
- Co-authors
- Jiefeng LiCewu LuSiyuan BianChao XuWenqiang XuJun LvAnran XuFei Wu
- Topics
- Robot Manipulation and Learning (7 papers)Muscle activation and electromyography studies (3 papers)Human Pose and Action Recognition (3 papers)
- Cited by
- Human-Computer InteractionComputer Vision and Pattern RecognitionControl and Systems Engineering
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceResources Conservation and RecyclingIEEE Robotics and Automation Letters
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Lixin Yang
11 papers receiving 412 citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 341
- Control and Systems Engineering 159
- Human-Computer Interaction 136
- Computational Mechanics 118
- Biomedical Engineering 66
Countries citing papers authored by Lixin Yang
This map shows the geographic impact of Lixin Yang'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 Lixin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lixin Yang more than expected).
Fields of papers citing papers by Lixin Yang
This network shows the impact of papers produced by Lixin Yang. 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 Lixin Yang. The network helps show where Lixin Yang may publish in the future.
Co-authorship network of co-authors of Lixin Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Lixin Yang. A scholar is included among the top collaborators of Lixin Yang 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 Lixin Yang. Lixin Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 5 | |
| 7 | 12 | |
| 8 | 42 | |
| 9 | 3 | |
| 10 | 49 | |
| 11 | 64 | |
| 12 | HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimationbreakdown → | 226 |
| 13 | 17 | |
| 14 | 0 |
About Lixin Yang
Lixin Yang is a scholar working on Human-Computer Interaction, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 427 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (7 papers), Muscle activation and electromyography studies (3 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Human-Computer Interaction (136 citations), Computer Vision and Pattern Recognition (341 citations) and Control and Systems Engineering (159 citations). Lixin Yang has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Jiefeng Li, Cewu Lu, Siyuan Bian, Chao Xu, Wenqiang Xu, Cewu Lu, Jun Lv, Anran Xu, Fei Wu and Liu Liu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Resources Conservation and Recycling and IEEE Robotics and Automation Letters.
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.