Xuecheng Nie
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Human-Computer Interaction top 5%
- Biomedical Engineering
- Signal Processing
- Co-authors
- Jiashi FengShuicheng YanJianfeng ZhangJian ZhaoYunpeng ChenShengtao XiaoJianshu LiNing Zhang
- Topics
- Human Pose and Action Recognition (12 papers)Video Surveillance and Tracking Methods (8 papers)Generative Adversarial Networks and Image Synthesis (5 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingNeurocomputing
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Xuecheng Nie
28 papers receiving 639 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 569
- Artificial Intelligence 207
- Human-Computer Interaction 115
- Biomedical Engineering 95
- Signal Processing 36
Countries citing papers authored by Xuecheng Nie
This map shows the geographic impact of Xuecheng Nie'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 Xuecheng Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuecheng Nie more than expected).
Fields of papers citing papers by Xuecheng Nie
This network shows the impact of papers produced by Xuecheng Nie. 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 Xuecheng Nie. The network helps show where Xuecheng Nie may publish in the future.
Co-authorship network of co-authors of Xuecheng Nie
This figure shows the co-authorship network connecting the top 25 collaborators of Xuecheng Nie. A scholar is included among the top collaborators of Xuecheng Nie 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 Xuecheng Nie. Xuecheng Nie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 8 | |
| 4 | 1 | |
| 5 | 19 | |
| 6 | 28 | |
| 7 | 26 | |
| 8 | 13 | |
| 9 | Inference Stage Optimization for Cross-scenario 3D Human Pose Estimation | 4 |
| 10 | 48 | |
| 11 | 142 | |
| 12 | 3 | |
| 13 | 29 | |
| 14 | 72 | |
| 15 | 2 | |
| 16 | 59 | |
| 17 | 2 | |
| 18 | 4 | |
| 19 | 3 | |
| 20 | 4 |
About Xuecheng Nie
Xuecheng Nie is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Computer Graphics and Computer-Aided Design, having authored 28 papers that have together received 653 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (12 papers), Video Surveillance and Tracking Methods (8 papers) and Generative Adversarial Networks and Image Synthesis (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (569 citations), Human-Computer Interaction (115 citations) and Artificial Intelligence (207 citations). Xuecheng Nie has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jiashi Feng, Shuicheng Yan, Jianfeng Zhang, Jian Zhao, Yunpeng Chen, Shengtao Xiao, Jianshu Li, Ning Zhang, Linjie Luo and Yuncheng Li. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Neurocomputing.
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.