Qiaoliang Li
- Radiology, Nuclear Medicine and Imaging top 2%
- Computer Vision and Pattern Recognition top 2%
- Ophthalmology top 2%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Topics
- Retinal Imaging and Analysis (6 papers)Digital Imaging for Blood Diseases (5 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)
- Cited by
- OphthalmologyRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- ACS Applied Materials & InterfacesInternational Journal of Hydrogen EnergyIEEE Transactions on Biomedical Engineering
- Partner nations
- ChinaHong KongSouth Korea
In The Last Decade
Qiaoliang Li
49 papers receiving 958 citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Radiology, Nuclear Medicine and Imaging 599
- Computer Vision and Pattern Recognition 448
- Ophthalmology 329
- Biomedical Engineering 132
- Artificial Intelligence 99
Countries citing papers authored by Qiaoliang Li
This map shows the geographic impact of Qiaoliang Li'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 Qiaoliang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiaoliang Li more than expected).
Fields of papers citing papers by Qiaoliang Li
This network shows the impact of papers produced by Qiaoliang Li. 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 Qiaoliang Li. The network helps show where Qiaoliang Li may publish in the future.
Co-authorship network of co-authors of Qiaoliang Li
This figure shows the co-authorship network connecting the top 25 collaborators of Qiaoliang Li. A scholar is included among the top collaborators of Qiaoliang Li 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 Qiaoliang Li. Qiaoliang Li 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 | 3 | |
| 3 | 16 | |
| 4 | 5 | |
| 5 | 61 | |
| 6 | 44 | |
| 7 | 21 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 7 | |
| 11 | A Cross-Modality Learning Approach for Vessel Segmentation in Retinal Imagesbreakdown → | 423 |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 10 | |
| 15 | 17 | |
| 16 | 14 | |
| 17 | 1 | |
| 18 | New electronic cash system with higher security and efficiency | 2 |
| 19 | A Review of Infrared Weak and Small Targets Detection under Complicated Background | 7 |
| 20 | Design of Speed Sensor-Less Vector Control System of ACIM | 1 |
About Qiaoliang Li
Qiaoliang Li is a scholar working on Health Informatics, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 49 papers that have together received 985 indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (6 papers), Digital Imaging for Blood Diseases (5 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Ophthalmology (329 citations), Radiology, Nuclear Medicine and Imaging (599 citations) and Computer Vision and Pattern Recognition (448 citations). Qiaoliang Li has collaborated with scholars based in China, Hong Kong and South Korea. Frequent co-authors include Tianfu Wang, Huisheng Zhang, Ping Liang, Bowei Feng, Suwen Qi, Depeng Xu, Huisheng Zhang, Zhewei Chen, Bingsheng Huang and Yufeng Ye. Their work appears in journals such as ACS Applied Materials & Interfaces, International Journal of Hydrogen Energy and IEEE Transactions on Biomedical Engineering.
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.