Zhifan Jiang
Impact in
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- Brain Tumor Detection and Classification
Papers in
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- Medical Image Segmentation Techniques 2
- Advanced Neural Network Applications 2
- Genetics 4
- Glioma Diagnosis and Treatment 4
- Co-authors
- Jean‐François Witz (4 shared papers)Mathias Brieu (4 shared papers)Pauline Lecomte‐Grosbras (4 shared papers)Marius George Linguraru (7 shared papers)Qi Wang (1 shared paper)Yingjiu Zhang (1 shared paper)Ding Zhang (1 shared paper)Anyuan Cao (1 shared paper)
- Journals
- Strain (4 papers)Experimental & Molecular Medicine (1 paper)Advanced Science (1 paper)Neuro-Oncology (1 paper)Neuro-Oncology Advances (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Zhifan Jiang
13 papers receiving 83 citations
Peers
Comparison fields: 5 of 44
- Neurology 11
- Computer Graphics and Computer-Aided Design 4
- Polymers and Plastics 10
- Computer Vision and Pattern Recognition 14
- Rheumatology 7
Countries citing papers authored by Zhifan Jiang
This map shows the geographic impact of Zhifan Jiang'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 Zhifan Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhifan Jiang more than expected).
Fields of papers citing papers by Zhifan Jiang
This network shows the impact of papers produced by Zhifan Jiang. 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 Zhifan Jiang. The network helps show where Zhifan Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhifan Jiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 19 | |
| 2 | 2023 | 14 | |
| 3 | 2015 | 10 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 6 | |
| 7 | 2024 | 5 | |
| 8 | 2017 | 4 | |
| 9 | 2020 | 4 | |
| 10 | 2019 | 4 | |
| 11 | 2023 | 3 | |
| 12 | 2025 | 2 | |
| 13 | 2024 | 1 | |
| 14 | 2024 | 0 | |
| 15 | 2024 | 0 | |
| 16 | 2025 | 0 |
About Zhifan Jiang
Zhifan Jiang is a scholar working on Computer Vision and Pattern Recognition, Genetics, Rheumatology, Surgery and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 84 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (4 papers), Pelvic floor disorders treatments (3 papers), Medical Image Segmentation Techniques (2 papers), Brain Tumor Detection and Classification (2 papers), 3D Shape Modeling and Analysis (2 papers), Advanced Neural Network Applications (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Pelvic and Acetabular Injuries (2 papers). The work is most often cited by research in Neurology (11 citations), Computer Graphics and Computer-Aided Design (4 citations), Polymers and Plastics (10 citations), Computer Vision and Pattern Recognition (14 citations) and Rheumatology (7 citations). Zhifan Jiang has collaborated with scholars based in China, United States and France. Frequent co-authors include Jean‐François Witz, Mathias Brieu, Pauline Lecomte‐Grosbras, Marius George Linguraru, Qi Wang, Yingjiu Zhang, Ding Zhang, Anyuan Cao, Erin R. Bonner and Christian Duriez. Their work appears in journals such as Strain, Experimental & Molecular Medicine, Advanced Science, Neuro-Oncology and Neuro-Oncology Advances.
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.