Chunhua Yang

820 citations
4 papers · 509 indexed · 1 hit paper · h-index 3
Topics
COVID-19 diagnosis using AI (2 papers)SARS-CoV-2 and COVID-19 Research (1 paper)COVID-19 Clinical Research Studies (1 paper)
Partner nations
ChinaHong Kong

In The Last Decade

Chunhua Yang

4 papers receiving 503 citations

Hit Papers

Stability issues of RT‐PCR testing of SARS‐CoV‐2 for hosp...20202026202220242020100200300400

Peers

Chunhua Yang
Comparison fields: 5 of 83
  • Infectious Diseases 335
  • Radiology, Nuclear Medicine and Imaging 182
  • Oncology 79
  • Biomedical Engineering 78
  • Molecular Biology 61
Replace Zhifang Cai with:
Zhifang Cai China
Neeraj G. Patel United States
Paula Zambrano-Achig Ecuador
Lesheng Huang China
Weishun Lan China
Gamuchirai Tavaziva Canada
Chunhua Yang relative to Zhifang Cai China Zhifang Cai's profile →
Citations per field
00.5×1.5×
Zhifang Cai · 1×
Citations per year

Countries citing papers authored by Chunhua Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chunhua Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chunhua Yang

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

All Works

4 of 4 papers shown
#WorkIndexed citations
1 5
2
A review on the identification of COVID-19, SARS and MERS
1
3 46
4
Stability issues of RT‐PCR testing of SARS‐CoV‐2 for hospitalized patients clinically diagnosed with COVID‐19breakdown →
457

About Chunhua Yang

Chunhua Yang is a scholar working on Complementary and Manual Therapy, Infectious Diseases and Radiology, Nuclear Medicine and Imaging, having authored 4 papers that have together received 509 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Infectious Diseases (335 citations), Health Informatics (16 citations) and Radiology, Nuclear Medicine and Imaging (182 citations). Chunhua Yang has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Lin Yao, Yafang Li, Yiyan Song, Jiawei Li, Zhifang Cai, Lei Chen, Qingquan Lv, Lei Chen, Binyan Jiang and Xiaofei Zhang. Their work appears in journals such as Journal of Medical Virology, Journal of Oral Rehabilitation and PeerJ.

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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