Wenqi Li
Impact in
- Neurology top 0.5%
- Brain Tumor Detection and Classification
- Health Informatics top 0.5%
Papers in
-
- Advanced Neural Network Applications 19
- Medical Image Segmentation Techniques 18
-
- Domain Adaptation and Few-Shot Learning 9
- Privacy-Preserving Technologies in Data 8
- AI in cancer detection 8
- Co-authors
- Sébastien Ourselin (20 shared papers)Tom Vercauteren (18 shared papers)M. Jorge Cardoso (8 shared papers)Guotai Wang (13 shared papers)Carole H. Sudre (2 shared papers)Jan Deprest (7 shared papers)Michaël Aertsen (6 shared papers)Daguang Xu (17 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (3 papers)Medical Image Analysis (3 papers)Lecture notes in computer science (18 papers)International Immunopharmacology (1 paper)Cancer Research (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Wenqi Li
74 papers receiving 6.3k citations
Wenqi Li's Hit Papers
Peers
Comparison fields: 5 of 176
- Neurology 1.1k
- Health Informatics 190
- Computer Vision and Pattern Recognition 2.6k
- Radiology, Nuclear Medicine and Imaging 1.9k
- Artificial Intelligence 2.2k
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-authors
The 25 scholars most cited alongside Wenqi 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
Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations Hit paper breakdown → | 2017 | 1751 |
| 2 | Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning Hit paper breakdown → | 2018 | 631 |
| 3 | Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis Hit paper breakdown → | 2022 | 493 |
| 4 | Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks Hit paper breakdown → | 2019 | 437 |
| 5 | Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks Hit paper breakdown → | 2018 | 386 |
| 6 | 2019 | 361 | |
| 7 | DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation Hit paper breakdown → | 2018 | 341 |
| 8 | 2017 | 234 | |
| 9 | Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan Hit paper breakdown → | 2021 | 203 |
| 10 | 2019 | 191 | |
| 11 | 2019 | 180 | |
| 12 | 2019 | 120 | |
| 13 | 2019 | 86 | |
| 14 | 2023 | 72 | |
| 15 | 2015 | 65 | |
| 16 | 2016 | 51 | |
| 17 | 2022 | 50 | |
| 18 | 2020 | 47 | |
| 19 | 2024 | 46 | |
| 20 | 2017 | 45 |
About Wenqi Li
Wenqi Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Epidemiology, having authored 81 papers that have together received 6.4k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (19 papers), Medical Image Segmentation Techniques (18 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Domain Adaptation and Few-Shot Learning (9 papers), Privacy-Preserving Technologies in Data (8 papers), AI in cancer detection (8 papers), Brain Tumor Detection and Classification (5 papers) and Medical Imaging Techniques and Applications (5 papers). The work is most often cited by research in Neurology (1.1k citations), Health Informatics (190 citations), Computer Vision and Pattern Recognition (2.6k citations), Radiology, Nuclear Medicine and Imaging (1.9k citations) and Artificial Intelligence (2.2k 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, Guotai Wang, Carole H. Sudre, Jan Deprest, Michaël Aertsen, Daguang Xu, Holger R. Roth and Anna L. David. Their work appears in journals such as IEEE Transactions on Medical Imaging, Medical Image Analysis, Lecture notes in computer science, International Immunopharmacology and Cancer Research.
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.