Jinze Liu
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Computational Theory and Mathematics top 10%
- Co-authors
- Jian FengWei WangXiaoqin WangQiong HanYi ZhangNathan JacobsJie WangJun Zhang
- Topics
- Data Management and Algorithms (4 papers)Data Mining Algorithms and Applications (3 papers)Photonic and Optical Devices (3 papers)
- Journals
- Environmental Science & TechnologyIEEE Transactions on Industrial ElectronicsIEEE Transactions on Geoscience and Remote Sensing
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jinze Liu
42 papers receiving 467 citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 265
- Radiology, Nuclear Medicine and Imaging 102
- Computer Vision and Pattern Recognition 83
- Information Systems 66
- Computational Theory and Mathematics 46
Countries citing papers authored by Jinze Liu
This map shows the geographic impact of Jinze 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 Jinze Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinze Liu more than expected).
Fields of papers citing papers by Jinze Liu
This network shows the impact of papers produced by Jinze 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 Jinze Liu. The network helps show where Jinze Liu may publish in the future.
Co-authorship network of co-authors of Jinze Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Jinze Liu. A scholar is included among the top collaborators of Jinze 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 Jinze Liu. Jinze 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 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 10 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 27 | |
| 14 | 16 | |
| 15 | 97 | |
| 16 | 4 | |
| 17 | 6 | |
| 18 | 20 | |
| 19 | 7 | |
| 20 | 4 |
About Jinze Liu
Jinze Liu is a scholar working on Medical Laboratory Technology, Signal Processing and Artificial Intelligence, having authored 47 papers that have together received 489 indexed citations. Recurring topics across this work include Data Management and Algorithms (4 papers), Data Mining Algorithms and Applications (3 papers) and Photonic and Optical Devices (3 papers). The work is most often cited by research in Artificial Intelligence (265 citations), Health Informatics (6 citations) and Radiology, Nuclear Medicine and Imaging (102 citations). Jinze Liu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jian Feng, Wei Wang, Xiaoqin Wang, Qiong Han, Yi Zhang, Nathan Jacobs, Jie Wang, Jun Zhang, Xiaofei Zhang and Jan F. Prins. Their work appears in journals such as Environmental Science & Technology, IEEE Transactions on Industrial Electronics and IEEE Transactions on Geoscience and Remote Sensing.
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.