Huan Xiong
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging
- Media Technology top 10%
- Molecular Biology
- Co-authors
- Guo-Sen XieLing ShaoJie LiuShuo WangTian-Zhu XiangJie QinHang DaiHuaixin Chen
- Topics
- Advanced Mathematical Identities (9 papers)Advanced Combinatorial Mathematics (9 papers)Domain Adaptation and Few-Shot Learning (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionDiscrete Mathematics and CombinatoricsHealth Informatics
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingSensors
- Partner nations
- ChinaUnited Arab EmiratesFrance
In The Last Decade
Huan Xiong
49 papers receiving 654 citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Computer Vision and Pattern Recognition 386
- Artificial Intelligence 233
- Radiology, Nuclear Medicine and Imaging 54
- Media Technology 45
- Molecular Biology 38
Countries citing papers authored by Huan Xiong
This map shows the geographic impact of Huan Xiong'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 Huan Xiong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huan Xiong more than expected).
Fields of papers citing papers by Huan Xiong
This network shows the impact of papers produced by Huan Xiong. 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 Huan Xiong. The network helps show where Huan Xiong may publish in the future.
Co-authorship network of co-authors of Huan Xiong
This figure shows the co-authorship network connecting the top 25 collaborators of Huan Xiong. A scholar is included among the top collaborators of Huan Xiong 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 Huan Xiong. Huan Xiong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 13 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 10 | |
| 10 | 15 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 22 | |
| 14 | 4 | |
| 15 | On the Number of Linear Regions of Convolutional Neural Networks | 5 |
| 16 | Learning to Learn Variational Semantic Memory | 3 |
| 17 | 1 | |
| 18 | 5 | |
| 19 | Effect of different pruning intensity on the canopy light distribution and yield and quality in Castanea henryi. | 1 |
| 20 | 8 |
About Huan Xiong
Huan Xiong is a scholar working on Discrete Mathematics and Combinatorics, Algebra and Number Theory and Artificial Intelligence, having authored 57 papers that have together received 664 indexed citations. Recurring topics across this work include Advanced Mathematical Identities (9 papers), Advanced Combinatorial Mathematics (9 papers) and Domain Adaptation and Few-Shot Learning (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (386 citations), Discrete Mathematics and Combinatorics (37 citations) and Health Informatics (15 citations). Huan Xiong has collaborated with scholars based in China, United Arab Emirates and France. Frequent co-authors include Guo-Sen Xie, Ling Shao, Jie Liu, Shuo Wang, Tian-Zhu Xiang, Jie Qin, Hang Dai, Huaixin Chen, Zhou Huang and Jie Liu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing 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.