Xiaokun Yang

760 total citations
18 papers, 178 citations indexed

About

Xiaokun Yang is a scholar working on Epidemiology, Infectious Diseases and Modeling and Simulation. According to data from OpenAlex, Xiaokun Yang has authored 18 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Infectious Diseases and 6 papers in Modeling and Simulation. Recurrent topics in Xiaokun Yang's work include COVID-19 epidemiological studies (6 papers), COVID-19 Clinical Research Studies (5 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Xiaokun Yang is often cited by papers focused on COVID-19 epidemiological studies (6 papers), COVID-19 Clinical Research Studies (5 papers) and SARS-CoV-2 and COVID-19 Research (3 papers). Xiaokun Yang collaborates with scholars based in China, United States and Taiwan. Xiaokun Yang's co-authors include Zijian Feng, Zhongjie Li, Zhijie An, Luzhao Feng, Jianxing Yu, Zhibin Peng, Zhaorui Chang, Qiulan Chen, Xiang Ren and Mengjie Geng and has published in prestigious journals such as Analytica Chimica Acta, Sensors and Actuators B Chemical and Vaccines.

In The Last Decade

Xiaokun Yang

15 papers receiving 174 citations

Peers

Xiaokun Yang
Comparison fields: 5 of 55
  • Infectious Diseases 88
  • Modeling and Simulation 86
  • Epidemiology 53
  • Clinical Psychology 27
  • Economics and Econometrics 22
Replace Stephanie Djajadi with:
Stephanie Djajadi United States
Nolan N. Pokpongkiat United States
Emma S. Garlock Canada
Manu Saraswat Canada
Ikkoh Yasuda Japan
Jacob Curran-Sebastian United Kingdom
Anthony Hauser Switzerland
Priyanka Rajendram Singapore
Zihao Guo Hong Kong
Patrick Gad Iradukunda Rwanda
Stephanie Djajadi United States View profile →
Citations per field, relative to Xiaokun Yang
Xiaokun Yang · 1×
Citations per year, relative to Xiaokun Yang
Xiaokun Yang · 1×

Countries citing papers authored by Xiaokun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaokun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaokun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaokun Yang. A scholar is included among the top collaborators of Xiaokun Yang 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 Xiaokun Yang. Xiaokun Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 3
5 0
6 11
7 2
8 1
9 2
10 34
11 1
12 1
13 4
14 18
15 1
16 37
17 59
18
Genetic analysis and development of molecular markers for a resistance locus to Mycosphaerella graminicola in wheat
3

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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