Xuhong Li
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Electrical and Electronic Engineering
- Radiology, Nuclear Medicine and Imaging
- Topics
- Advanced Neural Network Applications (6 papers)Domain Adaptation and Few-Shot Learning (5 papers)Topic Modeling (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xuhong Li
33 papers receiving 520 citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Artificial Intelligence 221
- Computer Vision and Pattern Recognition 102
- Molecular Biology 55
- Electrical and Electronic Engineering 44
- Radiology, Nuclear Medicine and Imaging 39
Countries citing papers authored by Xuhong Li
This map shows the geographic impact of Xuhong Li'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 Xuhong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuhong Li more than expected).
Fields of papers citing papers by Xuhong Li
This network shows the impact of papers produced by Xuhong Li. 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 Xuhong Li. The network helps show where Xuhong Li may publish in the future.
Co-authorship network of co-authors of Xuhong Li
This figure shows the co-authorship network connecting the top 25 collaborators of Xuhong Li. A scholar is included among the top collaborators of Xuhong Li 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 Xuhong Li. Xuhong Li 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 | 27 | |
| 3 | 19 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 33 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 8 | |
| 12 | 8 | |
| 13 | Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyondbreakdown → | 246 |
| 14 | Can We Use Gradient Norm as a Measure of Generalization Error for Model Selection in Practice | 1 |
| 15 | Cross-Task Transfer for Multimodal Aerial Scene Recognition. | 2 |
| 16 | 1 | |
| 17 | 1 | |
| 18 | Analysis of Traffic Accident Based on Fractal Theory | 2 |
| 19 | RESEARCH AND APPLICATION OF SPACE TIME TECHNOLOGY IN HIGHWAY NETWORK PLANNING INFORMATION SYSTEM. | 1 |
| 20 | Automatic document classification and extraction system (adoces) | 3 |
About Xuhong Li
Xuhong Li is a scholar working on Health Informatics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 36 papers that have together received 538 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Topic Modeling (4 papers). The work is most often cited by research in Health Informatics (16 citations), Artificial Intelligence (221 citations) and Computer Vision and Pattern Recognition (102 citations). Xuhong Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Haoyi Xiong, Dejing Dou, Ji Liu, Xingjian Li, Xiao Zhang, Jiang Bian, Xuanyu Wu, Yves Grandvalet, Franck Davoine and Yuchen Li. Their work appears in journals such as Bioresource Technology, Atmospheric Environment and Pattern Recognition.
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.