Baoxiong Jia
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Information Systems
- Computational Mechanics
- Co-authors
- Song‐Chun ZhuYixin ZhuFeng GaoChi ZhangSiyuan HuangTengyu LiuZan WangWei Liang
- Topics
- Multimodal Machine Learning Applications (5 papers)Human Pose and Action Recognition (4 papers)Human Motion and Animation (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceScience AdvancesProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
- Partner nations
- ChinaUnited StatesMexico
In The Last Decade
Baoxiong Jia
16 papers receiving 278 citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 154
- Artificial Intelligence 145
- Control and Systems Engineering 71
- Information Systems 22
- Computational Mechanics 22
Countries citing papers authored by Baoxiong Jia
This map shows the geographic impact of Baoxiong Jia'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 Baoxiong Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baoxiong Jia more than expected).
Fields of papers citing papers by Baoxiong Jia
This network shows the impact of papers produced by Baoxiong Jia. 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 Baoxiong Jia. The network helps show where Baoxiong Jia may publish in the future.
Co-authorship network of co-authors of Baoxiong Jia
This figure shows the co-authorship network connecting the top 25 collaborators of Baoxiong Jia. A scholar is included among the top collaborators of Baoxiong Jia 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 Baoxiong Jia. Baoxiong Jia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 9 | |
| 10 | 0 | |
| 11 | 12 | |
| 12 | Diffusion-based Generation, Optimization, and Planning in 3D Scenesbreakdown → | 86 |
| 13 | 0 | |
| 14 | 25 | |
| 15 | 9 | |
| 16 | 19 | |
| 17 | 89 | |
| 18 | 11 | |
| 19 | 24 |
About Baoxiong Jia
Baoxiong Jia is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 19 papers that have together received 303 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (5 papers), Human Pose and Action Recognition (4 papers) and Human Motion and Animation (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (154 citations), Artificial Intelligence (145 citations) and Human-Computer Interaction (17 citations). Baoxiong Jia has collaborated with scholars based in China, United States and Mexico. Frequent co-authors include Song‐Chun Zhu, Yixin Zhu, Feng Gao, Chi Zhang, Siyuan Huang, Tengyu Liu, Yixin Zhu, Zan Wang, Wei Liang and Yao Guo. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Science Advances and Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies.
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.