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
-
- Urban Transport and Accessibility 3
- Human Mobility and Location-Based Analysis 3
-
- COVID-19 epidemiological studies 3
- Co-authors
- Zhou Huang (3 shared papers)Ying Zheng (2 shared papers)Yi Zhang (1 shared paper)Jiayuan Lin (1 shared paper)Hong Hu (1 shared paper)Bin Qian (1 shared paper)Yang Zhang (1 shared paper)Shengping Wang (1 shared paper)
- Journals
- Sustainable Cities and Society (2 papers)Journal of Clinical Oncology (1 paper)Influenza and Other Respiratory Viruses (1 paper)Transportation Research Part D Transport and Environment (1 paper)China CDC Weekly (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Chen Fu
23 papers receiving 388 citations
Peers
Comparison fields: 5 of 80
- Transportation 66
- Modeling and Simulation 31
- Infectious Diseases 49
- Pulmonary and Respiratory Medicine 77
- Health 17
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 | 96 | |
| 2 | 2020 | 59 | |
| 3 | 2020 | 43 | |
| 4 | 2023 | 42 | |
| 5 | 2024 | 36 | |
| 6 | 2021 | 23 | |
| 7 | 2019 | 16 | |
| 8 | 2020 | 13 | |
| 9 | 2021 | 12 | |
| 10 | 2020 | 11 | |
| 11 | 2021 | 8 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2014 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2000 | 4 | |
| 17 | 2020 | 3 | |
| 18 | 2020 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2012 | 1 |
About Chen Fu
Chen Fu is a scholar working on Transportation, Modeling and Simulation, Infectious Diseases, Surgery and Cardiology and Cardiovascular Medicine, having authored 24 papers that have together received 393 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (3 papers), Urban Transport and Accessibility (3 papers), Human Mobility and Location-Based Analysis (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Global Health Care Issues (2 papers), Folate and B Vitamins Research (1 paper), Transportation and Mobility Innovations (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Transportation (66 citations), Modeling and Simulation (31 citations), Infectious Diseases (49 citations), Pulmonary and Respiratory Medicine (77 citations) and Health (17 citations). Chen Fu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Zhou Huang, Ying Zheng, Yi Zhang, Jiayuan Lin, Hong Hu, Bin Qian, Yang Zhang, Shengping Wang, Huimin Li and Sanghoon Jheon. Their work appears in journals such as Sustainable Cities and Society, Journal of Clinical Oncology, Influenza and Other Respiratory Viruses, Transportation Research Part D Transport and Environment and China CDC Weekly.
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.