Hsing‐Yi Chung

552 citations
30 papers · 328 indexed · h-index 10

Impact in

    • SARS-CoV-2 detection and testing
    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology

Papers in

Hsing‐Yi Chung

25 papers receiving 321 citations

Peers

Hsing‐Yi Chung
Comparison fields: 5 of 69
  • Infectious Diseases 193
  • Health Informatics 9
  • Endocrinology 28
  • Molecular Medicine 19
  • Epidemiology 85
Replace Ming‐Jr Jian with:
Ming‐Jr Jian Taiwan
Giorgio Dirani Italy
Tracy McMillen United States
Emily McCutchen United States
Dixie Huntley Spain
Muttaqillah Najihan Abdul Samat Malaysia
Reed Magleby United States
Scott Chapman Australia
Thomas Scheier Switzerland
Reshu Agarwal India
Hsing‐Yi Chung relative to Ming‐Jr Jian Taiwan Ming‐Jr Jian's profile →
Citations per field
00.5×1.5×
Ming‐Jr Jian · 1×
Citations per year

Countries citing papers authored by Hsing‐Yi Chung

Since Specialization
Citations

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

Fields of papers citing papers by Hsing‐Yi Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsing‐Yi Chung. 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 Hsing‐Yi Chung. The network helps show where Hsing‐Yi Chung may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Hsing‐Yi Chung, 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 Hsing‐Yi Chung Line = papers co-authored together Hsing‐Yi Chung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20258
2 20250
3 20244
4 20245
5 20245
6 20245
7 20242
8 20233
9 20233
10 202119
11 202118
12 20213
13 20212
14 202130
15 202171
16 20214
17 202010
18 20199
19 20115
20 200938

About Hsing‐Yi Chung

Hsing‐Yi Chung is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases, Clinical Biochemistry, Endocrinology and Health Informatics, having authored 30 papers that have together received 328 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (15 papers), SARS-CoV-2 and COVID-19 Research (13 papers), Bacterial Identification and Susceptibility Testing (6 papers), Respiratory viral infections research (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Antibiotic Resistance in Bacteria (3 papers), COVID-19 Clinical Research Studies (3 papers) and Infections and bacterial resistance (3 papers). The work is most often cited by research in Infectious Diseases (193 citations), Health Informatics (9 citations), Endocrinology (28 citations), Molecular Medicine (19 citations) and Epidemiology (85 citations). Hsing‐Yi Chung has collaborated with scholars based in Taiwan, Japan and Canada. Frequent co-authors include Cherng‐Lih Perng, Hung‐Sheng Shang, Ming‐Jr Jian, Chih-Kai Chang, Feng‐Yee Chang, Chien‐Wen Chen, Kuo‐Ming Yeh, Jung‐Chung Lin, F.I. Chou and Kuo‐Sheng Hung. Their work appears in journals such as International Journal of Infectious Diseases, Journal of Medical Internet Research, Clinica Chimica Acta, Infection and Drug Resistance and Aging.

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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