Ying Yuan

1.4k citations
54 papers · 989 indexed · h-index 20
Topics
Radiomics and Machine Learning in Medical Imaging (13 papers)Head and Neck Cancer Studies (11 papers)MRI in cancer diagnosis (9 papers)

In The Last Decade

Ying Yuan

49 papers receiving 978 citations

Peers

Ying Yuan
Comparison fields: 5 of 91
  • Radiology, Nuclear Medicine and Imaging 454
  • Oncology 212
  • Surgery 196
  • Cancer Research 174
  • Otorhinolaryngology 125
Replace Dukagjin Blakaj with:
Dukagjin Blakaj United States
Satoshi Kano Japan
Daniella K. Zanoni United States
Hongxue Meng China
So‐Young Choi South Korea
Feiyun Wu China
Jean‐Philippe Foy France
Sun‐ju Byeon South Korea
Hakmin Lee South Korea
Ryoji Yoshida Japan
Ying Yuan relative to Dukagjin Blakaj United States Dukagjin Blakaj's profile →
Citations per field
00.5×7.4×
Dukagjin Blakaj · 1×
Citations per year

Countries citing papers authored by Ying Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Ying Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Ying Yuan. A scholar is included among the top collaborators of Ying Yuan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ying Yuan. Ying Yuan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 0
4 1
5 3
6 14
7 5
8 45
9 17
10 1
11 43
12 1
13 59
14 9
15 6
16 79
17 21
18 50
19
Studies on the Temporal and Spatial Expressions of Bt Toxin Protein of Bt Transgenic Maize
2
20
Study on an Application of Genetic Algorithm to Damage Identification
1

About Ying Yuan

Ying Yuan is a scholar working on Otorhinolaryngology, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 54 papers that have together received 989 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (13 papers), Head and Neck Cancer Studies (11 papers) and MRI in cancer diagnosis (9 papers). The work is most often cited by research in Otorhinolaryngology (125 citations), Radiology, Nuclear Medicine and Imaging (454 citations) and Health Informatics (23 citations). Ying Yuan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiaofeng Tao, Jiliang Ren, Xiaosong Chen, Xiaofeng Tao, Kunwei Shen, Minshan Jiang, Meng Qi, Yingwei Wu, Xiaoxia Li and Xinping Kuai. Their work appears in journals such as PLoS ONE, Analytical Biochemistry and Scientific Reports.

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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