Xiaofei Huang
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Sarah OstadabbasShuangjun LiuNihang FuShaoling YuLili ChenXiaofeng LuGuangjin ChenJinfeng Peng
- Topics
- Human Pose and Action Recognition (8 papers)Functional Brain Connectivity Studies (7 papers)EEG and Brain-Computer Interfaces (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionIndustrial and Manufacturing EngineeringEndocrine and Autonomic Systems
- Partner nations
- United StatesChinaCanada
In The Last Decade
Xiaofei Huang
38 papers receiving 446 citations
Peers
Comparison fields: 5 of 120
- Computer Vision and Pattern Recognition 120
- Artificial Intelligence 78
- Electrical and Electronic Engineering 54
- Computer Networks and Communications 48
- Industrial and Manufacturing Engineering 44
Countries citing papers authored by Xiaofei Huang
This map shows the geographic impact of Xiaofei Huang'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 Xiaofei Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofei Huang more than expected).
Fields of papers citing papers by Xiaofei Huang
This network shows the impact of papers produced by Xiaofei Huang. 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 Xiaofei Huang. The network helps show where Xiaofei Huang may publish in the future.
Co-authorship network of co-authors of Xiaofei Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofei Huang. A scholar is included among the top collaborators of Xiaofei Huang 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 Xiaofei Huang. Xiaofei Huang 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 | 7 | |
| 3 | 6 | |
| 4 | 8 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 5 | |
| 10 | 19 | |
| 11 | 9 | |
| 12 | 25 | |
| 13 | 26 | |
| 14 | 4 | |
| 15 | 11 | |
| 16 | 12 | |
| 17 | 0 | |
| 18 | Modeling and Simulation of SNR and SIR in HF Communication System | 0 |
| 19 | 2 | |
| 20 | 1 |
About Xiaofei Huang
Xiaofei Huang is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Sensory Systems, having authored 47 papers that have together received 468 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (8 papers), Functional Brain Connectivity Studies (7 papers) and EEG and Brain-Computer Interfaces (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (120 citations), Industrial and Manufacturing Engineering (44 citations) and Endocrine and Autonomic Systems (28 citations). Xiaofei Huang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Sarah Ostadabbas, Shuangjun Liu, Nihang Fu, Shaoling Yu, Lili Chen, Xiaofeng Lu, Guangjin Chen, Jinfeng Peng, Long Chen and Wenhao Zheng. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neuroscience and IEEE Access.
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.