Xiaoduo Yu

39 papers receiving 422 citations

Peers

Xiaoduo Yu
Comparison fields: 5 of 43
  • Obstetrics and Gynecology 100
  • Otorhinolaryngology 47
  • Radiology, Nuclear Medicine and Imaging 134
  • Health Informatics 5
  • Developmental Neuroscience 11
Replace Anne-Kathrin Höhn with:
Anne-Kathrin Höhn Germany
Takashi Togawa Japan
Wainwright Jaggernauth United States
Fangyuan Qu China
Comron Hassanzadeh United States
Yong Hyu Jeong South Korea
Benjapa Khiewvan Thailand
Soo Bin Park South Korea
Maurizio Boaron Italy
R. Barca Italy
Xiaoduo Yu relative to Anne-Kathrin Höhn Germany Anne-Kathrin Höhn's profile →
Citations per field
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Anne-Kathrin Höhn · 1×
Citations per year

Countries citing papers authored by Xiaoduo Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoduo Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201267
2 201637
3 202122
4 202022
5 201922
6 201320
7 202219
8 201318
9 201817
10 202213
11 202312
12 202012
13 202111
14 202111
15 201511
16 202310
17 20228
18 20228
19 20208
20 20208

About Xiaoduo Yu

Xiaoduo Yu is a scholar working on Otorhinolaryngology, Obstetrics and Gynecology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Oncology, having authored 44 papers that have together received 425 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (11 papers), Endometrial and Cervical Cancer Treatments (10 papers), MRI in cancer diagnosis (5 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Advanced MRI Techniques and Applications (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Management of metastatic bone disease (1 paper) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Obstetrics and Gynecology (100 citations), Otorhinolaryngology (47 citations), Radiology, Nuclear Medicine and Imaging (134 citations), Health Informatics (5 citations) and Developmental Neuroscience (11 citations). Xiaoduo Yu has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Han Ouyang, Meng Lin, Lizhi Xie, Chunwu Zhou, Xinming Zhao, Hong‐Tu Zhang, Qi Zhang, Jieying Zhang, Bing Wu and Shuang Chen. Their work appears in journals such as European Journal of Radiology, Frontiers in Oncology, European Radiology, Cancer Imaging and Abdominal 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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