Chen Fu
Impact in
- Transportation top 5%
- Urban Transport and Accessibility
- Human Mobility and Location-Based Analysis
- Transportation Planning and Optimization
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- COVID-19 epidemiological studies 3
-
- Human Mobility and Location-Based Analysis 3
- Urban Transport and Accessibility 3
- Co-authors
- Zhou Huang (3 shared papers)Ying Feng Zheng (2 shared papers)Jiayuan Lin (1 shared paper)Yi Zhang (1 shared paper)Bin Qian (1 shared paper)Huimin Li (1 shared paper)Yi Bao (2 shared papers)Shengping Wang (1 shared paper)
- Journals
- Sustainable Cities and Society (2 papers)Transboundary and Emerging Diseases (1 paper)Frontiers in Big Data (1 paper)Transportation Research Part D Transport and Environment (1 paper)Lung Cancer (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Chen Fu
24 papers receiving 418 citations
Peers
Comparison fields: 5 of 84
- Transportation 69
- Modeling and Simulation 30
- Pulmonary and Respiratory Medicine 88
- Infectious Diseases 49
- Health 19
Countries citing papers authored by Chen Fu
This map shows the geographic impact of Chen Fu'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 Chen Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Fu more than expected).
Fields of papers citing papers by Chen Fu
This network shows the impact of papers produced by Chen Fu. 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 Chen Fu. The network helps show where Chen Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 102 | |
| 2 | 2020 | 57 | |
| 3 | 2020 | 47 | |
| 4 | 2024 | 44 | |
| 5 | 2023 | 43 | |
| 6 | 2021 | 25 | |
| 7 | 2019 | 16 | |
| 8 | 2021 | 13 | |
| 9 | 2020 | 13 | |
| 10 | 2020 | 13 | |
| 11 | 2021 | 12 | |
| 12 | 2023 | 7 | |
| 13 | 2014 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2000 | 4 | |
| 17 | 2018 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2020 | 2 | |
| 20 | 2025 | 2 |
About Chen Fu
Chen Fu is a scholar working on Modeling and Simulation, Transportation, Infectious Diseases, Cardiology and Cardiovascular Medicine and General Health Professions, having authored 24 papers that have together received 425 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), Human Mobility and Location-Based Analysis (3 papers), Urban Transport and Accessibility (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Global Health Care Issues (2 papers), COVID-19 Clinical Research Studies (1 paper) and Dialysis and Renal Disease Management (1 paper). The work is most often cited by research in Transportation (69 citations), Modeling and Simulation (30 citations), Pulmonary and Respiratory Medicine (88 citations), Infectious Diseases (49 citations) and Health (19 citations). Chen Fu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Zhou Huang, Ying Feng Zheng, Jiayuan Lin, Yi Zhang, Bin Qian, Huimin Li, Yi Bao, Shengping Wang, Ganmin Yin and Hong Hu. Their work appears in journals such as Sustainable Cities and Society, Transboundary and Emerging Diseases, Frontiers in Big Data, Transportation Research Part D Transport and Environment and Lung Cancer.
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.