Yunfeng Cui

653 citations
46 papers · 496 · h-index 13

Impact in

Papers in

    • Advanced Radiotherapy Techniques 24
    • Radiomics and Machine Learning in Medical Imaging 11
    • Medical Imaging Techniques and Applications 8
    • MRI in cancer diagnosis 3
    • Advanced MRI Techniques and Applications 3

Yunfeng Cui

44 papers receiving 489 citations

Peers

Yunfeng Cui
Comparison fields: 5 of 64
  • Radiation 191
  • Radiology, Nuclear Medicine and Imaging 212
  • Health Informatics 8
  • Pulmonary and Respiratory Medicine 85
  • Genetics 28
Replace Kanabu Nawa with:
Kanabu Nawa Japan
Poonam Yadav United States
Yushi Chang United States
Weigang Hu China
D Khullar United States
Tanja Schimek‐Jasch Germany
Juan David Ospina France
M Jermoumi United States
Tobias Fechter Germany
Aditi Iyer United States
Yunfeng Cui relative to Kanabu Nawa Japan Kanabu Nawa's profile →
Citations per field
00.5×2.7×
Kanabu Nawa · 1×
Citations per year

Countries citing papers authored by Yunfeng Cui

Since Specialization
Citations

This map shows the geographic impact of Yunfeng Cui'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 Yunfeng Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunfeng Cui more than expected).

Fields of papers citing papers by Yunfeng Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yunfeng Cui. 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 Yunfeng Cui. The network helps show where Yunfeng Cui may publish in the future.

Co-authors

The 25 scholars most cited alongside Yunfeng Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yunfeng Cui Line = papers co-authored together Yunfeng Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201254
2 200945
3 201245
4 201336
5 201434
6 202133
7 201427
8 202024
9 202221
10 201418
11 202118
12 201116
13 201513
14 201211
15 20219
16 20087
17 20237
18 20177
19 20116
20 20236

About Yunfeng Cui

Yunfeng Cui is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery and Genetics, having authored 46 papers that have together received 496 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (24 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Medical Imaging Techniques and Applications (8 papers), Lung Cancer Diagnosis and Treatment (6 papers), MRI in cancer diagnosis (3 papers), Advanced MRI Techniques and Applications (3 papers), Glioma Diagnosis and Treatment (3 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Radiation (191 citations), Radiology, Nuclear Medicine and Imaging (212 citations), Health Informatics (8 citations), Pulmonary and Respiratory Medicine (85 citations) and Genetics (28 citations). Yunfeng Cui has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Ying Xiao, James M. Galvin, T Giaddui, F Yin, Wenzhou Chen, Yan Yu, Lawrence H. Schwartz, Jason W. Sohn, Binsheng Zhao and Jacqueline A. Brosnan‐Cashman. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Medical Physics, Practical Radiation Oncology, Physics in Medicine and Biology and Clinical Cancer Research.

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.

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