Yang Xue
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Co-authors
- Yuqing ChenLianwen JinDapeng TaoYuan YuanYu‐Shun YangTakaki HayashiYunfei XieXin Zhang
- Topics
- Human Pose and Action Recognition (7 papers)Context-Aware Activity Recognition Systems (6 papers)Handwritten Text Recognition Techniques (6 papers)
- Cited by
- Computer Vision and Pattern RecognitionHuman-Computer InteractionComputer Networks and Communications
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Yang Xue
36 papers receiving 595 citations
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 417
- Biomedical Engineering 178
- Artificial Intelligence 149
- Computer Networks and Communications 108
- Electrical and Electronic Engineering 75
Countries citing papers authored by Yang Xue
This map shows the geographic impact of Yang Xue'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 Yang Xue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Xue more than expected).
Fields of papers citing papers by Yang Xue
This network shows the impact of papers produced by Yang Xue. 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 Yang Xue. The network helps show where Yang Xue may publish in the future.
Co-authorship network of co-authors of Yang Xue
This figure shows the co-authorship network connecting the top 25 collaborators of Yang Xue. A scholar is included among the top collaborators of Yang Xue 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 Yang Xue. Yang Xue 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 | 6 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | 3 | |
| 6 | 9 | |
| 7 | 19 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 13 | |
| 12 | 16 | |
| 13 | 276 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 12 | |
| 17 | 2 | |
| 18 | An Improved NHPP Model with Time-Varying Fault Removal Delay | 0 |
| 19 | Research and Development of Intelligent System for Fault Diagnosis | 1 |
| 20 | The Evolution of Management Organization | 1 |
About Yang Xue
Yang Xue is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Software, having authored 37 papers that have together received 615 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (7 papers), Context-Aware Activity Recognition Systems (6 papers) and Handwritten Text Recognition Techniques (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (417 citations), Human-Computer Interaction (66 citations) and Computer Networks and Communications (108 citations). Yang Xue has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yuqing Chen, Lianwen Jin, Dapeng Tao, Yuan Yuan, Yu‐Shun Yang, Takaki Hayashi, Yunfei Xie, Xin Zhang, Yahui Guo and Liang‐Hua Zou. Their work appears in journals such as Food Chemistry, Analytica Chimica Acta and Sensors.
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.