Wenjia Bai
- Radiology, Nuclear Medicine and Imaging top 1%
- Computer Vision and Pattern Recognition top 1%
- Cardiology and Cardiovascular Medicine top 2%
- Biomedical Engineering top 5%
- Artificial Intelligence top 5%
- Co-authors
- Daniel RueckertDeclan P. O’ReganAntonio de MarvaoTimothy J. W. DawesWenzhe ShiOzan OktayKonstantinos KamnitsasStuart A. Cook
- Topics
- Medical Image Segmentation Techniques (31 papers)Medical Imaging Techniques and Applications (17 papers)Advanced MRI Techniques and Applications (17 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingComputer Vision and Pattern RecognitionHealth Informatics
- Journals
- NatureCirculationNature Medicine
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Wenjia Bai
83 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Radiology, Nuclear Medicine and Imaging 1.3k
- Computer Vision and Pattern Recognition 1.1k
- Cardiology and Cardiovascular Medicine 801
- Biomedical Engineering 534
- Artificial Intelligence 372
Countries citing papers authored by Wenjia Bai
This map shows the geographic impact of Wenjia Bai'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 Wenjia Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenjia Bai more than expected).
Fields of papers citing papers by Wenjia Bai
This network shows the impact of papers produced by Wenjia Bai. 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 Wenjia Bai. The network helps show where Wenjia Bai may publish in the future.
Co-authorship network of co-authors of Wenjia Bai
This figure shows the co-authorship network connecting the top 25 collaborators of Wenjia Bai. A scholar is included among the top collaborators of Wenjia Bai 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 Wenjia Bai. Wenjia Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 12 | |
| 8 | 2 | |
| 9 | 16 | |
| 10 | 78 | |
| 11 | 137 | |
| 12 | 34 | |
| 13 | 1 | |
| 14 | 37 | |
| 15 | Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentationbreakdown → | 438 |
| 16 | 6 | |
| 17 | 83 | |
| 18 | 141 | |
| 19 | 62 | |
| 20 | 22 |
About Wenjia Bai
Wenjia Bai is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Cardiology and Cardiovascular Medicine, having authored 91 papers that have together received 2.9k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (31 papers), Medical Imaging Techniques and Applications (17 papers) and Advanced MRI Techniques and Applications (17 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.3k citations), Computer Vision and Pattern Recognition (1.1k citations) and Health Informatics (63 citations). Wenjia Bai has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Daniel Rueckert, Declan P. O’Regan, Antonio de Marvao, Timothy J. W. Dawes, Wenzhe Shi, Ozan Oktay, Konstantinos Kamnitsas, Stuart A. Cook, Bernhard Kainz and Michael Brady. Their work appears in journals such as Nature, Circulation and Nature Medicine.
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.