Ping Yin

532 citations
34 papers · 363 indexed · h-index 10
Topics
Radiomics and Machine Learning in Medical Imaging (15 papers)Advanced X-ray and CT Imaging (6 papers)Sarcoma Diagnosis and Treatment (6 papers)
Partner nations
ChinaUnited StatesSpain

In The Last Decade

Ping Yin

30 papers receiving 361 citations

Peers

Ping Yin
Comparison fields: 5 of 70
  • Radiology, Nuclear Medicine and Imaging 206
  • Pulmonary and Respiratory Medicine 102
  • Biomedical Engineering 80
  • Surgery 48
  • Artificial Intelligence 47
Replace Seyhan Karaçavuş with:
Seyhan Karaçavuş Türkiye
Markus Wirth Germany
Frédérique Charbonneau France
L Steyaert Belgium
Emily Kay‐Rivest Canada
Ammar Chaudhry United States
Francesco Mungai Italy
Kumiko Ando Japan
Yao‐Lung Kuo Taiwan
Ronald Antulov Croatia
Ping Yin relative to Seyhan Karaçavuş Türkiye Seyhan Karaçavuş's profile →
Citations per field
00.5×
Seyhan Karaçavuş · 1×
Citations per year

Countries citing papers authored by Ping Yin

Since Specialization
Citations

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

Fields of papers citing papers by Ping Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping Yin

This figure shows the co-authorship network connecting the top 25 collaborators of Ping Yin. A scholar is included among the top collaborators of Ping Yin 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 Ping Yin. Ping Yin 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 0
3 1
4 1
5 6
6 4
7 0
8 0
9 8
10 4
11 8
12 4
13 8
14 13
15 27
16 65
17 56
18 6
19 1
20
[Epidemic hemorrhagic fever in laboratory personnel infected in animal experiments].
1

About Ping Yin

Ping Yin is a scholar working on Radiology, Nuclear Medicine and Imaging, Emergency Medical Services and Pathology and Forensic Medicine, having authored 34 papers that have together received 363 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (15 papers), Advanced X-ray and CT Imaging (6 papers) and Sarcoma Diagnosis and Treatment (6 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (206 citations), Health Informatics (9 citations) and Pulmonary and Respiratory Medicine (102 citations). Ping Yin has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Ning Mao, Nan Hong, Nan Hong, Jiangfen Wu, Chao Sun, Lei Chen, Haizhu Xie, Meijie Liu, Qinglin Wang and Jianjun Dong. Their work appears in journals such as British Journal of Cancer, Behavioural Brain Research and BioMed Research International.

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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