Cheng-Bin Wang

2.0k citations
6 papers · 1.1k · 1 hit paper · h-index 6

Impact in

Papers in

Cheng-Bin Wang

6 papers receiving 1.0k citations

Cheng-Bin Wang's Hit Papers

The COVID-19 pandemic 2020 · 831 citations
8310+2+4Years since publication250500750

Peers

Cheng-Bin Wang
Comparison fields: 5 of 163
  • Modeling and Simulation 110
  • Infectious Diseases 417
  • Health Informatics 20
  • General Dentistry 13
  • Neurology 91
Replace Pegah Mirzapour with:
Pegah Mirzapour Iran
Carmen Huber Canada
Min Lü United States
Omid Dadras Iran
Giulio Viceconte Italy
Yaling Chen China
Bo Pan China
Synat Keam Australia
Zinatul Hayati Indonesia
Haypheng Te Cambodia
Cheng-Bin Wang relative to Pegah Mirzapour Iran Pegah Mirzapour's profile →
Citations per field
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Citations per year

Countries citing papers authored by Cheng-Bin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Cheng-Bin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cheng-Bin Wang. 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 Cheng-Bin Wang. The network helps show where Cheng-Bin Wang may publish in the future.

Co-authors

The 23 scholars most cited alongside Cheng-Bin Wang, 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 Cheng-Bin Wang Line = papers co-authored together Cheng-Bin Wang links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
The COVID-19 pandemic
Hit paper breakdown →
2020831
2 2020127
3 202043
4 202132
5 202023
6 202019

About Cheng-Bin Wang

Cheng-Bin Wang is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health, Biomedical Engineering and Molecular Biology, having authored 6 papers that have together received 1.1k indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (5 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Infection Control and Ventilation (2 papers), COVID-19 Clinical Research Studies (2 papers), Healthcare and Environmental Waste Management (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), COVID-19 diagnosis using AI (1 paper) and Biosensors and Analytical Detection (1 paper). The work is most often cited by research in Modeling and Simulation (110 citations), Infectious Diseases (417 citations), Health Informatics (20 citations), General Dentistry (13 citations) and Neurology (91 citations). Cheng-Bin Wang has collaborated with scholars based in Italy, China and Australia. Frequent co-authors include Marco Ciotti, Massimo Ciccozzi, Sergio Bernardini, Alessandro Terrinoni, Andrea R. Horvath, Giuseppe Lippi, Khosrow Adeli, David D. Koch, Maurizio Ferrari and Nicasio Mancini. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM) and Critical Reviews in Clinical Laboratory Sciences.

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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