Xiaoduo Yu

589 citations
41 papers · 390 · h-index 11

Impact in

Papers in

Xiaoduo Yu

38 papers receiving 387 citations

Peers

Xiaoduo Yu
Comparison fields: 5 of 47
  • Obstetrics and Gynecology 115
  • Radiology, Nuclear Medicine and Imaging 271
  • Otorhinolaryngology 25
  • Reproductive Medicine 46
  • Health Informatics 5
Replace D. Deshpande with:
D. Deshpande India
Fangyuan Qu China
Takashi Togawa Japan
Benjapa Khiewvan Thailand
K.J. Maria Das India
Benjamin T. Gielda United States
Kotaro Yoshio Japan
Yaowalak Chansilpa Thailand
Comron Hassanzadeh United States
Yo Kawaguchi Japan
Xiaoduo Yu relative to D. Deshpande India D. Deshpande's profile →
Citations per field
00.5×11.1×
D. Deshpande · 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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201267
2 201636
3 202022
4 201920
5 201319
6 202118
7 201317
8 202216
9 201815
10 202213
11 201511
12 202010
13 202110
14 202110
15 20238
16 20208
17 20228
18 20207
19 20216
20 20226

About Xiaoduo Yu

Xiaoduo Yu is a scholar working on Radiology, Nuclear Medicine and Imaging, Obstetrics and Gynecology, Pulmonary and Respiratory Medicine, Surgery and Oncology, having authored 41 papers that have together received 390 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (19 papers), Radiomics and Machine Learning in Medical Imaging (17 papers), Endometrial and Cervical Cancer Treatments (14 papers), Ovarian cancer diagnosis and treatment (5 papers), Advanced MRI Techniques and Applications (5 papers), Head and Neck Cancer Studies (5 papers), Colorectal and Anal Carcinomas (3 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Obstetrics and Gynecology (115 citations), Radiology, Nuclear Medicine and Imaging (271 citations), Otorhinolaryngology (25 citations), Reproductive Medicine (46 citations) and Health Informatics (5 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, Hong‐Tu Zhang, Xinming Zhao, Qi Zhang, Jieying Zhang, Shuang Chen and Yan Chen. Their work appears in journals such as European Journal of Radiology, European Radiology, Frontiers in Oncology, 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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