Xinrong Hu
- Computer Vision and Pattern Recognition top 5%
- Electrical and Electronic Engineering
- Aerospace Engineering top 10%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Co-authors
- Tao PengQihong ChenJingcao CaiLiyan ZhangJun ChengMinghua JiangFeng YuZhigang Zhou
- Topics
- 3D Shape Modeling and Analysis (23 papers)Generative Adversarial Networks and Image Synthesis (21 papers)Computer Graphics and Visualization Techniques (18 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Graphics and Computer-Aided Design
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Xinrong Hu
100 papers receiving 804 citations
Peers
Comparison fields: 5 of 104
- Computer Vision and Pattern Recognition 273
- Electrical and Electronic Engineering 207
- Aerospace Engineering 151
- Computer Networks and Communications 99
- Artificial Intelligence 85
Countries citing papers authored by Xinrong Hu
This map shows the geographic impact of Xinrong Hu'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 Xinrong Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinrong Hu more than expected).
Fields of papers citing papers by Xinrong Hu
This network shows the impact of papers produced by Xinrong Hu. 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 Xinrong Hu. The network helps show where Xinrong Hu may publish in the future.
Co-authorship network of co-authors of Xinrong Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Xinrong Hu. A scholar is included among the top collaborators of Xinrong Hu 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 Xinrong Hu. Xinrong Hu 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 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 16 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 0 | |
| 12 | 6 | |
| 13 | 1 | |
| 14 | 0 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 129 | |
| 18 | 26 | |
| 19 | 1 | |
| 20 | 18 |
About Xinrong Hu
Xinrong Hu is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Signal Processing, having authored 127 papers that have together received 830 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (23 papers), Generative Adversarial Networks and Image Synthesis (21 papers) and Computer Graphics and Visualization Techniques (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (273 citations), Signal Processing (83 citations) and Computer Graphics and Computer-Aided Design (24 citations). Xinrong Hu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Tao Peng, Qihong Chen, Jingcao Cai, Liyan Zhang, Jun Cheng, Minghua Jiang, Feng Yu, Zhigang Zhou, Jing Liang and Ming Hu. Their work appears in journals such as Advanced Materials, Advanced Energy Materials and Optics Express.
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.