Juanxiu Liu
- Molecular Biology
- Computer Vision and Pattern Recognition top 10%
- Plant Science
- Biomedical Engineering
- Media Technology top 10%
- Co-authors
- Xiaohui DuJing ZhangGuangming NiLin LiuXiangzhou WangXunhong LiuLisi ZouShengnan Wang
- Topics
- Image Processing Techniques and Applications (14 papers)Digital Imaging for Blood Diseases (9 papers)AI in cancer detection (8 papers)
- Partner nations
- ChinaSingaporeUnited Kingdom
In The Last Decade
Juanxiu Liu
66 papers receiving 426 citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 99
- Computer Vision and Pattern Recognition 96
- Plant Science 89
- Biomedical Engineering 84
- Media Technology 54
Countries citing papers authored by Juanxiu Liu
This map shows the geographic impact of Juanxiu 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 Juanxiu Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juanxiu Liu more than expected).
Fields of papers citing papers by Juanxiu Liu
This network shows the impact of papers produced by Juanxiu 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 Juanxiu Liu. The network helps show where Juanxiu Liu may publish in the future.
Co-authorship network of co-authors of Juanxiu Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Juanxiu Liu. A scholar is included among the top collaborators of Juanxiu 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 Juanxiu Liu. Juanxiu 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 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 14 | |
| 14 | 5 | |
| 15 | Simultaneous Determination of Multiple Constituents in Scrophulariae Radix from Different Habitats and Commercial Herbs by UPLC-QTRAP-MS/MS | 2 |
| 16 | 37 | |
| 17 | UPLC‐QTRAP‐MS/MSによる異なる起源を持つPolygoni Multiflori Radixにおけるヌクレオシドと核酸塩基の同時定量 | 1 |
| 18 | 7 | |
| 19 | Design of Broad-Stopband Planar Lowpass Filters | 1 |
| 20 | Study of High-Temperature Superconductor Diplexers for Satellite Communications * | 0 |
About Juanxiu Liu
Juanxiu Liu is a scholar working on Media Technology, Biophysics and Computer Vision and Pattern Recognition, having authored 72 papers that have together received 438 indexed citations. Recurring topics across this work include Image Processing Techniques and Applications (14 papers), Digital Imaging for Blood Diseases (9 papers) and AI in cancer detection (8 papers). The work is most often cited by research in Biophysics (42 citations), Media Technology (54 citations) and Computer Vision and Pattern Recognition (96 citations). Juanxiu Liu has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Xiaohui Du, Jing Zhang, Guangming Ni, Lin Liu, Xiangzhou Wang, Xunhong Liu, Lisi Zou, Shengnan Wang, Yong Liu and Ying Yan. Their work appears in journals such as Scientific Reports, Optics Express and Expert Systems with Applications.
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.