Xinhua Ye

1.2k citations
37 papers · 536 indexed · h-index 13
Topics
Radiomics and Machine Learning in Medical Imaging (12 papers)Thyroid Cancer Diagnosis and Treatment (12 papers)Sarcoma Diagnosis and Treatment (8 papers)
Partner nations
ChinaJapan

In The Last Decade

Xinhua Ye

34 papers receiving 529 citations

Peers

Xinhua Ye
Comparison fields: 5 of 69
  • Radiology, Nuclear Medicine and Imaging 269
  • Endocrinology, Diabetes and Metabolism 250
  • Surgery 151
  • Artificial Intelligence 117
  • Pulmonary and Respiratory Medicine 67
Replace Su Yeon Ko with:
Su Yeon Ko South Korea
Ko Woon Park South Korea
Natasha Brasic United States
Taewoo Kang South Korea
Xingjian Lai China
Chang Suk Park South Korea
Nami Choi South Korea
Jieun Koh South Korea
Chenzhe Feng China
Xinhua Ye relative to Su Yeon Ko South Korea Su Yeon Ko's profile →
Citations per field
00.5×7.4×
Su Yeon Ko · 1×
Citations per year

Countries citing papers authored by Xinhua Ye

Since Specialization
Citations

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

Fields of papers citing papers by Xinhua Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinhua Ye

This figure shows the co-authorship network connecting the top 25 collaborators of Xinhua Ye. A scholar is included among the top collaborators of Xinhua Ye 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 Xinhua Ye. Xinhua Ye 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 14
2 0
3 1
4 2
5 2
6 5
7 7
8 2
9 14
10 12
11 6
12 18
13 19
14 84
15 29
16 1
17 90
18
Investigation of the maximum Young's modulus of thyroid nodules using two-dimensional shear wave elastography in thyroid nodules
2
19 42
20 43

About Xinhua Ye

Xinhua Ye is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 37 papers that have together received 536 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (12 papers), Thyroid Cancer Diagnosis and Treatment (12 papers) and Sarcoma Diagnosis and Treatment (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (250 citations), Health Informatics (19 citations) and Radiology, Nuclear Medicine and Imaging (269 citations). Xinhua Ye has collaborated with scholars based in China and Japan. Frequent co-authors include Jing Hang, Jing Deng, Feihong Yu, Xiaohong Wu, Ting Xu, Jianxiang Wang, Yuzhi Zhang, Shuhang Xu, Di Xu and Runxin Wu. Their work appears in journals such as Scientific Reports, Acta Biomaterialia and RSC Advances.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026