Yuling Xi
Impact in
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- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Video Analysis and Summarization
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
- Topic Modeling
Papers in
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- Multimodal Machine Learning Applications 6
- Advanced Image and Video Retrieval Techniques 6
- Human Pose and Action Recognition 3
- Video Analysis and Summarization 2
- Advanced Neural Network Applications 2
- Medical Image Segmentation Techniques 1
- Video Surveillance and Tracking Methods 1
- Advanced Vision and Imaging 1
- Co-authors
- Songtao Ding (6 shared papers)Shaohua Wan (5 shared papers)Shiru Qu (5 shared papers)Yanning Zhang (3 shared papers)Arun Kumar Sangaiah (1 shared paper)Hui Feng (1 shared paper)Hao Chen (2 shared papers)Peng Wang (2 shared papers)
In The Last Decade
Yuling Xi
10 papers receiving 417 citations
Peers
Comparison fields: 5 of 86
- Computer Vision and Pattern Recognition 289
- Artificial Intelligence 154
- Media Technology 18
- Human-Computer Interaction 11
- Information Systems 38
Countries citing papers authored by Yuling Xi
This map shows the geographic impact of Yuling Xi'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 Yuling Xi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuling Xi more than expected).
Fields of papers citing papers by Yuling Xi
This network shows the impact of papers produced by Yuling Xi. 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 Yuling Xi. The network helps show where Yuling Xi may publish in the future.
Co-authors
The 17 scholars most cited alongside Yuling Xi, 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 | 2019 | 171 | |
| 2 | 2018 | 102 | |
| 3 | 2019 | 70 | |
| 4 | 2019 | 52 | |
| 5 | 2017 | 17 | |
| 6 | Andrographolide Attenuates Senna- and Castor Oil-induced Diarrhea in Mice | 2013 | 6 |
| 7 | 2023 | 4 | |
| 8 | 2018 | 3 | |
| 9 | 2025 | 2 | |
| 10 | 2023 | 1 |
About Yuling Xi
Yuling Xi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, General Health Professions, Complementary and alternative medicine and Infectious Diseases, having authored 10 papers that have together received 428 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (6 papers), Advanced Image and Video Retrieval Techniques (6 papers), Human Pose and Action Recognition (3 papers), Video Analysis and Summarization (2 papers), Advanced Neural Network Applications (2 papers), Medical Image Segmentation Techniques (1 paper), Video Surveillance and Tracking Methods (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (289 citations), Artificial Intelligence (154 citations), Media Technology (18 citations), Human-Computer Interaction (11 citations) and Information Systems (38 citations). Yuling Xi has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Songtao Ding, Shaohua Wan, Shiru Qu, Yanning Zhang, Arun Kumar Sangaiah, Hui Feng, Hao Chen, Peng Wang, Ming Chen and Ning Wang. Their work appears in journals such as Applied Intelligence, Future Generation Computer Systems, IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing and International Journal of Computer Vision.
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.