Xiaoping Yin

954 citations
35 papers · 675 · h-index 11

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Neurology top 10%
    • Long-Term Effects of COVID-19

Papers in

Xiaoping Yin

28 papers receiving 657 citations

Peers

Xiaoping Yin
Comparison fields: 5 of 83
  • Infectious Diseases 243
  • Neurology 115
  • Critical Care and Intensive Care Medicine 30
  • Radiology, Nuclear Medicine and Imaging 111
  • Biological Psychiatry 9
Replace Qingfeng Ma with:
Qingfeng Ma China
Guyi Wang China
Shaghayegh Khanmohammadi Iran
Zhixiong Wu China
Enrico Longato Italy
Yuan Xue China
Lina Zhao China
Jianlei Cao China
Xiaoping Yin relative to Qingfeng Ma China Qingfeng Ma's profile →
Citations per field
00.5×6.7×
Qingfeng Ma · 1×
Citations per year

Countries citing papers authored by Xiaoping Yin

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoping Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoping Yin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaoping Yin Line = papers co-authored together Xiaoping Yin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020375
2 201695
3 201638
4 201933
5 201715
6 202013
7 202012
8 202012
9 201812
10 201811
11 201810
12 20179
13 20197
14 20155
15 20234
16 20234
17 20243
18 20212
19
Tick fauna and monitoring of tick host animals at Alataw Pass.
20102
20 20182

About Xiaoping Yin

Xiaoping Yin is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Infectious Diseases, Surgery and Neurology, having authored 35 papers that have together received 675 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), COVID-19 Clinical Research Studies (4 papers), Advanced X-ray and CT Imaging (3 papers), Cerebrovascular and Carotid Artery Diseases (3 papers), Medical Imaging Techniques and Applications (2 papers), Coronary Interventions and Diagnostics (2 papers), Colorectal Cancer Screening and Detection (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Infectious Diseases (243 citations), Neurology (115 citations), Critical Care and Intensive Care Medicine (30 citations), Radiology, Nuclear Medicine and Imaging (111 citations) and Biological Psychiatry (9 citations). Xiaoping Yin has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Bu‐Lang Gao, Li Dong, Jianzeng Zhang, Jinghui Dong, Yuhuan Xu, Xi Ma, Hongjie Zhang, Weimin An, Lijun Xu and Yuan‐Jian Yang. Their work appears in journals such as European Journal of Radiology, Medical Physics, Journal Of Big Data, Computer Methods and Programs in Biomedicine and Behavioural Brain Research.

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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