Jiufa Cui

3.3k citations
25 papers · 2.1k · 1 hit paper · h-index 8

Impact in

Papers in

Jiufa Cui

21 papers receiving 2.1k citations

Jiufa Cui's Hit Papers

CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV) 2020 · 1.9k citations
1.9k0+2+4Years since publication50010001.5k

Peers

Jiufa Cui
Comparison fields: 5 of 114
  • Health Informatics 85
  • Infectious Diseases 1.1k
  • Radiology, Nuclear Medicine and Imaging 1.3k
  • Critical Care and Intensive Care Medicine 237
  • Neurology 405
Replace Wenjian Xu with:
Wenjian Xu China
Terrance T. Healey United States
Saurabh Agarwal United States
Andrea Borghesi Italy
Marie‐Pierre Revel France
Ian Pan United States
Jiong Wu China
Jooae Choe South Korea
Corey Eber United States
Dexter P. Mendoza United States
Jiufa Cui relative to Wenjian Xu China Wenjian Xu's profile →
Citations per field
00.5×1.5×
Wenjian Xu · 1×
Citations per year

Countries citing papers authored by Jiufa Cui

Since Specialization
Citations

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

Fields of papers citing papers by Jiufa Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jiufa 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 Jiufa Cui Line = papers co-authored together Jiufa Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)
Hit paper breakdown →
20201865
2 202177
3 202059
4 202247
5 201714
6 202212
7 202112
8 20239
9 20237
10 20187
11 20236
12 20204
13 20233
14 20233
15 20213
16 20253
17 20242
18 20242
19 20251
20 20251

About Jiufa Cui

Jiufa Cui is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Epidemiology, Pulmonary and Respiratory Medicine and Neurology, having authored 25 papers that have together received 2.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), Shoulder Injury and Treatment (4 papers), Sarcoma Diagnosis and Treatment (4 papers), Advanced X-ray and CT Imaging (3 papers), Orthopedic Infections and Treatments (3 papers), Meningioma and schwannoma management (3 papers), Intracerebral and Subarachnoid Hemorrhage Research (3 papers) and Spine and Intervertebral Disc Pathology (2 papers). The work is most often cited by research in Health Informatics (85 citations), Infectious Diseases (1.1k citations), Radiology, Nuclear Medicine and Imaging (1.3k citations), Critical Care and Intensive Care Medicine (237 citations) and Neurology (405 citations). Jiufa Cui has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Mingqian Huang, Wenjian Xu, Shaolin Li, Ning Zhang, Kunwei Li, Zahi A. Fayad, Hong Shan, Adam Bernheim, Adam Jacobi and Yang Yang. Their work appears in journals such as European Radiology, Clinical Radiology, European Journal of Radiology, International Journal of Biological Macromolecules and Academic Radiology.

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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