Jianfei Liu
- Molecular Biology top 10%
- Biomedical Engineering top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Spectroscopy top 2%
- Biochemistry top 1%
- Topics
- Retinal Imaging and Analysis (14 papers)AI in cancer detection (14 papers)Radiomics and Machine Learning in Medical Imaging (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaACS NanoAnalytical Chemistry
- Partner nations
- ChinaUnited StatesPakistan
In The Last Decade
Jianfei Liu
122 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 138
- Molecular Biology 735
- Biomedical Engineering 491
- Radiology, Nuclear Medicine and Imaging 408
- Spectroscopy 352
- Biochemistry 293
Countries citing papers authored by Jianfei Liu
This map shows the geographic impact of Jianfei 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 Jianfei Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianfei Liu more than expected).
Fields of papers citing papers by Jianfei Liu
This network shows the impact of papers produced by Jianfei 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 Jianfei Liu. The network helps show where Jianfei Liu may publish in the future.
Co-authorship network of co-authors of Jianfei Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Jianfei Liu. A scholar is included among the top collaborators of Jianfei 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 Jianfei Liu. Jianfei 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 | 12 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 14 | |
| 9 | 21 | |
| 10 | High-resolution imaging of cone photoreceptors and retinal pigment epithelial cells in Chediak-Higashi Syndrome | 1 |
| 11 | Adaptive optics retinal imaging with deep learning cone segmentation enables area-based analysis in RHO-associated retinitis pigmentosa | 1 |
| 12 | 27 | |
| 13 | 1 | |
| 14 | 8 | |
| 15 | 20 | |
| 16 | 22 | |
| 17 | 31 | |
| 18 | 17 | |
| 19 | 18 | |
| 20 | Quantitative Analysis of Photoreceptor Swelling in Late-Onset Retinal Degeneration Using Adaptive Optics | 3 |
About Jianfei Liu
Jianfei Liu is a scholar working on Biochemistry, Biophysics and Radiology, Nuclear Medicine and Imaging, having authored 130 papers that have together received 2.1k indexed citations. Recurring topics across this work include Retinal Imaging and Analysis (14 papers), AI in cancer detection (14 papers) and Radiomics and Machine Learning in Medical Imaging (13 papers). The work is most often cited by research in Biochemistry (293 citations), Ophthalmology (236 citations) and Spectroscopy (352 citations). Jianfei Liu has collaborated with scholars based in China, United States and Pakistan. Frequent co-authors include Yong Ye, Johnny Tam, Xiaopeng Yang, Adam T. Woolley, John N. Harb, Di Zhang, Yufen Zhao, Alfredo Dubra, Ronald M. Summers and Xiaojing Han. Their work appears in journals such as SHILAP Revista de lepidopterología, ACS Nano and Analytical Chemistry.
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.