Jialun Wu
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition
- Molecular Biology
- Health Information Management top 10%
- Topics
- Topic Modeling (10 papers)Machine Learning in Healthcare (8 papers)AI in cancer detection (8 papers)
- Partner nations
- ChinaSingaporeUnited Kingdom
In The Last Decade
Jialun Wu
21 papers receiving 247 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 173
- Radiology, Nuclear Medicine and Imaging 62
- Computer Vision and Pattern Recognition 52
- Molecular Biology 49
- Health Information Management 18
Countries citing papers authored by Jialun Wu
This map shows the geographic impact of Jialun Wu'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 Jialun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jialun Wu more than expected).
Fields of papers citing papers by Jialun Wu
This network shows the impact of papers produced by Jialun Wu. 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 Jialun Wu. The network helps show where Jialun Wu may publish in the future.
Co-authorship network of co-authors of Jialun Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Jialun Wu. A scholar is included among the top collaborators of Jialun Wu 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 Jialun Wu. Jialun Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 0 | |
| 10 | 27 | |
| 11 | 15 | |
| 12 | 19 | |
| 13 | 14 | |
| 14 | 42 | |
| 15 | 1 | |
| 16 | 22 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 8 | |
| 20 | 24 |
About Jialun Wu
Jialun Wu is a scholar working on Health Information Management, Health Informatics and Artificial Intelligence, having authored 27 papers that have together received 249 indexed citations. Recurring topics across this work include Topic Modeling (10 papers), Machine Learning in Healthcare (8 papers) and AI in cancer detection (8 papers). The work is most often cited by research in Health Informatics (17 citations), Artificial Intelligence (173 citations) and Health Information Management (18 citations). Jialun Wu has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Tieliang Gong, Chen Li, Zeyu Gao, Chunbao Wang, Kai He, Xianli Zhang, Yefeng Zheng, Deyu Meng, Rui Mao and Erik Cambria. Their work appears in journals such as Bioinformatics, Scientific Reports and IEEE Transactions on Medical Imaging.
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.