Xuhong Li
- Health Informatics top 10%
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning 5
- Topic Modeling 4
- Explainable Artificial Intelligence (XAI) 4
- Machine Learning and ELM 3
- Natural Language Processing Techniques 3
- Machine Learning and Data Classification 3
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- Advanced Neural Network Applications 6
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- Recommender Systems and Techniques 3
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xuhong Li
33 papers receiving 520 citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Health Informatics 16
- Artificial Intelligence 221
- Computer Vision and Pattern Recognition 102
- Signal Processing 25
- Environmental Engineering 32
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
The 25 scholars most cited alongside Xuhong Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 27 | |
| 3 | 2024 | 19 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 33 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 0 | |
| 11 | 2023 | 8 | |
| 12 | 2023 | 8 | |
| 13 | Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyondbreakdown → | 2022 | 246 |
| 14 | Can We Use Gradient Norm as a Measure of Generalization Error for Model Selection in Practice | 2021 | 1 |
| 15 | Cross-Task Transfer for Multimodal Aerial Scene Recognition. | 2020 | 2 |
| 16 | 2018 | 1 | |
| 17 | 2017 | 1 | |
| 18 | Analysis of Traffic Accident Based on Fractal Theory | 2008 | 2 |
| 19 | RESEARCH AND APPLICATION OF SPACE TIME TECHNOLOGY IN HIGHWAY NETWORK PLANNING INFORMATION SYSTEM. | 2000 | 1 |
| 20 | Automatic document classification and extraction system (adoces) | 1999 | 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), Topic Modeling (4 papers), Explainable Artificial Intelligence (XAI) (4 papers), Machine Learning and ELM (3 papers), Recommender Systems and Techniques (3 papers), Natural Language Processing Techniques (3 papers) and Machine Learning and Data Classification (3 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.
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.