Xin‐Wu Cui

145 papers receiving 3.8k citations

Peers

Xin‐Wu Cui
Comparison fields: 5 of 118
  • Health Informatics 139
  • Critical Care and Intensive Care Medicine 435
  • Radiology, Nuclear Medicine and Imaging 1.2k
  • Hepatology 340
  • Pulmonary and Respiratory Medicine 660
Replace Gianpaolo Carrafiello with:
Gianpaolo Carrafiello Italy
Vito Cantisani Italy
Noriyuki Tomiyama Japan
Yi Dong China
Aya Kamaya United States
Andrea Giovagnoni Italy
Elaine M. Caoili United States
Adrian Săftoiu Romania
T K Egglin United States
Franklin N. Tessler United States
Xin‐Wu Cui relative to Gianpaolo Carrafiello Italy Gianpaolo Carrafiello's profile →
Citations per field
00.5×4.8×
Gianpaolo Carrafiello · 1×
Citations per year

Countries citing papers authored by Xin‐Wu Cui

Since Specialization
Citations

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

Fields of papers citing papers by Xin‐Wu Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019270
2 2019182
3 2016157
4 2021156
5 2015109
6 2013106
7 201989
8 202187
9 201683
10 201579
11 201977
12 201773
13 202072
14 201772
15 202064
16 202162
17 202259
18 201557
19 201550
20 201449

About Xin‐Wu Cui

Xin‐Wu Cui is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery, Hepatology and Epidemiology, having authored 151 papers that have together received 3.9k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (21 papers), Liver Disease Diagnosis and Treatment (20 papers), Thyroid Cancer Diagnosis and Treatment (20 papers), Radiomics and Machine Learning in Medical Imaging (20 papers), Ultrasound Imaging and Elastography (16 papers), Ultrasound and Hyperthermia Applications (14 papers), AI in cancer detection (10 papers) and Ultrasound in Clinical Applications (10 papers). The work is most often cited by research in Health Informatics (139 citations), Critical Care and Intensive Care Medicine (435 citations), Radiology, Nuclear Medicine and Imaging (1.2k citations), Hepatology (340 citations) and Pulmonary and Respiratory Medicine (660 citations). Xin‐Wu Cui has collaborated with scholars based in China, Germany and Switzerland. Frequent co-authors include Christoph F. Dietrich, A Ignee, Liqiang Zhou, Michael Hocke, Ge-Ge Wu, Christian Jenssen, Dagmar Schreiber-Dietrich, Yi Dong, Qi Wei and Xinglong Wu. Their work appears in journals such as Frontiers in Oncology, Ultraschall in der Medizin - European Journal of Ultrasound, World Journal of Gastroenterology, Endoscopic Ultrasound and Ultrasound in Medicine & Biology.

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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