Zhibin Peng
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies 15
- Infectious Diseases top 2%
- Viral Infections and Vectors 7
- Viral Infections and Outbreaks Research 5
- Agronomy and Crop Science top 2%
- Animal Disease Management and Epidemiology 8
- Epidemiology top 2%
- Influenza Virus Research Studies 37
- Respiratory viral infections research 21
- Health top 5%
- Vaccine Coverage and Hesitancy 9
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- Spinal Cord Injury Research 8
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Zhibin Peng
78 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Modeling and Simulation 395
- Infectious Diseases 589
- Agronomy and Crop Science 320
- Epidemiology 979
- Health 207
Countries citing papers authored by Zhibin Peng
This map shows the geographic impact of Zhibin Peng'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 Zhibin Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhibin Peng more than expected).
Fields of papers citing papers by Zhibin Peng
This network shows the impact of papers produced by Zhibin Peng. 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 Zhibin Peng. The network helps show where Zhibin Peng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhibin Peng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 11 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 11 | |
| 9 | 2021 | 13 | |
| 10 | 2020 | 18 | |
| 11 | 2020 | 2 | |
| 12 | 2020 | 25 | |
| 13 | 2019 | 1 | |
| 14 | 2019 | 3 | |
| 15 | 2018 | 20 | |
| 16 | 2018 | 16 | |
| 17 | [Clinical characteristics of adult influenza inpatients in ten provinces in China and analysis of severe risk factors]. | 2015 | 2 |
| 18 | [Clinical characteristics of hospitalized severe acute respiratory illnesses (SARI) in children and risk factors analysis of severe illness: results from SARI patients under 15-year-old of sentinel surveillance in 10 cities, China]. | 2015 | 1 |
| 19 | [Estimation of hospitalization rate of laboratory confirmed influenza cases in Jingzhou city, Hubei province, 2010-2012]. | 2015 | 1 |
| 20 | [Epidemiological characteristics of influenza outbreaks in China, 2005-2013]. | 2015 | 6 |
About Zhibin Peng
Zhibin Peng is a scholar working on Modeling and Simulation, Epidemiology and Health, having authored 80 papers that have together received 1.8k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (37 papers), Respiratory viral infections research (21 papers), COVID-19 epidemiological studies (15 papers), Vaccine Coverage and Hesitancy (9 papers), Spinal Cord Injury Research (8 papers), Animal Disease Management and Epidemiology (8 papers), Viral Infections and Vectors (7 papers) and Viral Infections and Outbreaks Research (5 papers). The work is most often cited by research in Modeling and Simulation (395 citations), Infectious Diseases (589 citations) and Agronomy and Crop Science (320 citations). Zhibin Peng has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jiandong Zheng, Zijian Feng, Hongjie Yu, Shuo Feng, Yansong Wang, Hui Jiang, Zhongjie Li, Shengjie Lai, George F. Gao and Benjamin J. Cowling. Their work appears in journals such as The Lancet, Advanced Materials and Nature Medicine.
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.