Xuehong Diao

871 citations
38 papers · 667 indexed · h-index 14
Topics
Thyroid Cancer Diagnosis and Treatment (10 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)AI in cancer detection (6 papers)
Partner nations
China

In The Last Decade

Xuehong Diao

37 papers receiving 654 citations

Peers

Xuehong Diao
Comparison fields: 5 of 82
  • Radiology, Nuclear Medicine and Imaging 244
  • Endocrinology, Diabetes and Metabolism 163
  • Surgery 141
  • Molecular Biology 141
  • Pulmonary and Respiratory Medicine 141
Replace Ah Young Park with:
Ah Young Park South Korea
Takuya Ishikawa Japan
Ji Hye Lee South Korea
Sung Hee Park South Korea
Genshan Ma China
Yukun Luo China
Takafumi Mochizuki Japan
Emine Şebnem Durmaz Türkiye
Elisa Roca Italy
Gil Soo Son South Korea
Xuehong Diao relative to Ah Young Park South Korea Ah Young Park's profile →
Citations per field
00.5×2.8×
Ah Young Park · 1×
Citations per year

Countries citing papers authored by Xuehong Diao

Since Specialization
Citations

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

Fields of papers citing papers by Xuehong Diao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuehong Diao

This figure shows the co-authorship network connecting the top 25 collaborators of Xuehong Diao. A scholar is included among the top collaborators of Xuehong Diao 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 Xuehong Diao. Xuehong Diao 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 7
3 2
4 3
5 23
6 13
7 29
8 32
9 11
10 5
11 1
12 1
13 53
14 12
15 30
16 9
17 16
18 86
19 2
20 22

About Xuehong Diao

Xuehong Diao is a scholar working on Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Complementary and Manual Therapy, having authored 38 papers that have together received 667 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (10 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and AI in cancer detection (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (244 citations), Endocrinology, Diabetes and Metabolism (163 citations) and Cancer Research (96 citations). Xuehong Diao has collaborated with scholars based in China. Frequent co-authors include Yue Chen, Jia Zhan, Lin Chen, Bing Hu, Enhui Shen, Xiaoxia Wang, Liang Fang, Ruizhen Chen, Yun Pang and Yingchun Liu. Their work appears in journals such as SHILAP Revista de lepidopterología, Biochemical and Biophysical Research Communications and American Journal Of Pathology.

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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