Xuejun Liu
- Molecular Biology
- Computational Theory and Mathematics top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Topics
- Radiomics and Machine Learning in Medical Imaging (5 papers)Computational Drug Discovery Methods (5 papers)Video Analysis and Summarization (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsAntimicrobial Agents and Chemotherapy
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xuejun Liu
42 papers receiving 666 citations
Peers
Comparison fields: 5 of 127
- Molecular Biology 199
- Computational Theory and Mathematics 186
- Radiology, Nuclear Medicine and Imaging 124
- Computer Vision and Pattern Recognition 103
- Artificial Intelligence 97
Countries citing papers authored by Xuejun Liu
This map shows the geographic impact of Xuejun Liu'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 Xuejun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xuejun Liu more than expected).
Fields of papers citing papers by Xuejun Liu
This network shows the impact of papers produced by Xuejun Liu. 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 Xuejun Liu. The network helps show where Xuejun Liu may publish in the future.
Co-authorship network of co-authors of Xuejun Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Xuejun Liu. A scholar is included among the top collaborators of Xuejun Liu 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 Xuejun Liu. Xuejun Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 6 | |
| 5 | 35 | |
| 6 | 0 | |
| 7 | 127 | |
| 8 | 54 | |
| 9 | 13 | |
| 10 | 5 | |
| 11 | 29 | |
| 12 | 23 | |
| 13 | 12 | |
| 14 | 14 | |
| 15 | 4 | |
| 16 | 16 | |
| 17 | [Shang Ring circumcision by transverse incision in the distal penis foreskin and pull-up of the interior board for short frenulum praeputii]. | 1 |
| 18 | The Model of Terrain Features Preserved in Grid DEM | 4 |
| 19 | 1 | |
| 20 | 6 |
About Xuejun Liu
Xuejun Liu is a scholar working on Computer Vision and Pattern Recognition, Filtration and Separation and Developmental Biology, having authored 44 papers that have together received 680 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Computational Drug Discovery Methods (5 papers) and Video Analysis and Summarization (4 papers). The work is most often cited by research in Health Informatics (20 citations), Computational Theory and Mathematics (186 citations) and Neurology (45 citations). Xuejun Liu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Hui Liu, Lei Deng, Siyuan Shen, Jinxian Wang, Bo Meng, Xiaolin Wang, Yingchao Liu, Wenjian Xu, Meizhen Wang and Yujia Xie. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Antimicrobial Agents and Chemotherapy.
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.