Yue Dong

1.1k citations
50 papers · 831 indexed · h-index 18
Topics
Radiomics and Machine Learning in Medical Imaging (29 papers)Endometrial and Cervical Cancer Treatments (17 papers)MRI in cancer diagnosis (15 papers)
Journals
SHILAP Revista de lepidopterologíaLife SciencesPhysics in Medicine and Biology
Partner nations
ChinaFinlandJapan

In The Last Decade

Yue Dong

48 papers receiving 822 citations

Peers

Yue Dong
Comparison fields: 5 of 54
  • Radiology, Nuclear Medicine and Imaging 648
  • Biomedical Engineering 317
  • Pulmonary and Respiratory Medicine 185
  • Surgery 161
  • Obstetrics and Gynecology 120
Replace Yee Liang Thian with:
Yee Liang Thian Singapore
Yaqiong Ge China
Shingo Ohira Japan
Iori Sumida Japan
Brandon A. Dyer United States
D. Létourneau Canada
Yan‐Jie Shi China
Tatsushi Kobayashi Japan
Mijung Jang South Korea
Ning Lang China
Yue Dong relative to Yee Liang Thian Singapore Yee Liang Thian's profile →
Citations per field
00.5×1.5×2.3×
Yee Liang Thian · 1×
Citations per year

Countries citing papers authored by Yue Dong

Since Specialization
Citations

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

Fields of papers citing papers by Yue Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yue Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Yue Dong. A scholar is included among the top collaborators of Yue Dong 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 Yue Dong. Yue Dong 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 1
2 1
3 10
4 12
5 0
6 10
7 7
8 15
9 22
10 30
11 5
12 38
13 30
14 2
15 4
16 1
17 7
18 29
19 21
20 57

About Yue Dong

Yue Dong is a scholar working on Obstetrics and Gynecology, Radiology, Nuclear Medicine and Imaging and Reproductive Medicine, having authored 50 papers that have together received 831 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (29 papers), Endometrial and Cervical Cancer Treatments (17 papers) and MRI in cancer diagnosis (15 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (648 citations), Obstetrics and Gynecology (120 citations) and Health Informatics (16 citations). Yue Dong has collaborated with scholars based in China, Finland and Japan. Frequent co-authors include Xiran Jiang, Yahong Luo, Ailian Liu, Xiaoyu Wang, Tao Yu, Tao Yu, Yijun Liu, Xin Zhang, Wenyan Jiang and Huazhe Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, Life Sciences and Physics in Medicine and 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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