Wenqi Li
- Computer Vision and Pattern Recognition top 0.5%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Artificial Intelligence top 0.5%
- Biomedical Engineering top 5%
- Neurology top 1%
- Co-authors
- Sébastien OurselinTom VercauterenM. Jorge CardosoCarole H. SudreGuotai WangJan DeprestMichaël AertsenTom Doel
- Topics
- Medical Image Segmentation Techniques (14 papers)Advanced Neural Network Applications (11 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceNeuroImageThe Science of The Total Environment
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Wenqi Li
61 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Computer Vision and Pattern Recognition 2.1k
- Radiology, Nuclear Medicine and Imaging 1.9k
- Artificial Intelligence 1.9k
- Biomedical Engineering 715
- Neurology 703
Countries citing papers authored by Wenqi Li
This map shows the geographic impact of Wenqi 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 Wenqi Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenqi Li more than expected).
Fields of papers citing papers by Wenqi Li
This network shows the impact of papers produced by Wenqi 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 Wenqi Li. The network helps show where Wenqi Li may publish in the future.
Co-authorship network of co-authors of Wenqi Li
This figure shows the co-authorship network connecting the top 25 collaborators of Wenqi Li. A scholar is included among the top collaborators of Wenqi 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 Wenqi Li. Wenqi 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 | 7 | |
| 2 | 1 | |
| 3 | 36 | |
| 4 | 11 | |
| 5 | 5 | |
| 6 | 64 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 0 | |
| 10 | 43 | |
| 11 | Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japanbreakdown → | 176 |
| 12 | 6 | |
| 13 | 143 | |
| 14 | 294 | |
| 15 | NiftyNet: a deep-learning platform for medical imagingbreakdown → | 363 |
| 16 | DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentationbreakdown → | 295 |
| 17 | 250 | |
| 18 | 3 | |
| 19 | Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentationsbreakdown → | 1509 |
| 20 | 1 |
About Wenqi Li
Wenqi Li is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 65 papers that have together received 5.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (14 papers), Advanced Neural Network Applications (11 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). The work is most often cited by research in Health Informatics (211 citations), Computer Vision and Pattern Recognition (2.1k citations) and Neurology (703 citations). Wenqi Li has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Sébastien Ourselin, Tom Vercauteren, M. Jorge Cardoso, Carole H. Sudre, Guotai Wang, Jan Deprest, Michaël Aertsen, Tom Doel, Daguang Xu and Anna L. David. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and The Science of The Total Environment.
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.