Junfeng Zhang
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Genetics
- Topics
- Advanced X-ray and CT Imaging (5 papers)Medical Imaging Techniques and Applications (4 papers)Glioma Diagnosis and Treatment (4 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsComputer Vision and Pattern Recognition
- Partner nations
- ChinaFranceUnited States
In The Last Decade
Junfeng Zhang
13 papers receiving 707 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Radiology, Nuclear Medicine and Imaging 490
- Biomedical Engineering 305
- Computer Vision and Pattern Recognition 149
- Artificial Intelligence 105
- Genetics 61
Countries citing papers authored by Junfeng Zhang
This map shows the geographic impact of Junfeng Zhang'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 Junfeng Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junfeng Zhang more than expected).
Fields of papers citing papers by Junfeng Zhang
This network shows the impact of papers produced by Junfeng Zhang. 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 Junfeng Zhang. The network helps show where Junfeng Zhang may publish in the future.
Co-authorship network of co-authors of Junfeng Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Junfeng Zhang. A scholar is included among the top collaborators of Junfeng Zhang 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 Junfeng Zhang. Junfeng Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 10 | |
| 6 | 9 | |
| 7 | Transformers in medical image analysisbreakdown → | 255 |
| 8 | 6 | |
| 9 | LEARN: Learned Experts’ Assessment-Based Reconstruction Network for Sparse-Data CTbreakdown → | 303 |
| 10 | 77 | |
| 11 | 17 | |
| 12 | Endovascular intervention for delayed post-pancreaticoduodenectomy hemorrhage: clinical features and outcomes of transcatheter arterial embolization and covered stent placement. | 17 |
| 13 | 12 |
About Junfeng Zhang
Junfeng Zhang is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Biomedical Engineering, having authored 13 papers that have together received 720 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (5 papers), Medical Imaging Techniques and Applications (4 papers) and Glioma Diagnosis and Treatment (4 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (490 citations), Health Informatics (18 citations) and Computer Vision and Pattern Recognition (149 citations). Junfeng Zhang has collaborated with scholars based in China, France and United States. Frequent co-authors include Huaiqiang Sun, Yunjin Chen, Yi Zhang, Jiliu Zhou, Ge Wang, Weihua Zhang, Yang Lv, Peixi Liao, Hu Chen and Gan Chen. Their work appears in journals such as IEEE Transactions on Medical Imaging, Physics in Medicine and Biology and Neurocomputing.
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.