Jun Fei
Impact in
- Transportation top 10%
- Urban Transport and Accessibility
-
- Air Quality and Health Impacts
- Urban Green Space and Health
Papers in
-
- Chronic Obstructive Pulmonary Disease (COPD) Research 6
- Respiratory Support and Mechanisms 2
-
- Asthma and respiratory diseases 4
- Co-authors
- Lin Fu (18 shared papers)Hui Zhao (13 shared papers)Hui-Xian Xiang (7 shared papers)De‐Xiang Xu (5 shared papers)Wei Yang (4 shared papers)Hong Chen (3 shared papers)Jiabin Li (2 shared papers)Yingpeng Li (2 shared papers)
- Journals
- Lung (2 papers)BMC Infectious Diseases (2 papers)Archives of Medical Science (2 papers)The Journal of Immunology (2 papers)Respiratory Research (2 papers)
- Partner nations
- ChinaUnited KingdomFrance
In The Last Decade
Jun Fei
26 papers receiving 607 citations
Jun Fei's Hit Papers
Peers
Comparison fields: 5 of 90
- Transportation 57
- Health, Toxicology and Mutagenesis 72
- Infectious Diseases 82
- Speech and Hearing 22
- Pulmonary and Respiratory Medicine 104
Countries citing papers authored by Jun Fei
This map shows the geographic impact of Jun Fei'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 Jun Fei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Fei more than expected).
Fields of papers citing papers by Jun Fei
This network shows the impact of papers produced by Jun Fei. 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 Jun Fei. The network helps show where Jun Fei may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Fei, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Unraveling nonlinear and interaction effects of multilevel built environment features on outdoor jogging with explainable machine learning Hit paper breakdown → | 2024 | 60 |
| 2 | 2020 | 59 | |
| 3 | 2011 | 57 | |
| 4 | 2019 | 55 | |
| 5 | 2018 | 39 | |
| 6 | 2021 | 38 | |
| 7 | 2021 | 31 | |
| 8 | 2020 | 29 | |
| 9 | 2021 | 27 | |
| 10 | 2020 | 27 | |
| 11 | 2021 | 26 | |
| 12 | 2020 | 26 | |
| 13 | 2024 | 24 | |
| 14 | 2021 | 19 | |
| 15 | 2020 | 17 | |
| 16 | 2020 | 16 | |
| 17 | 2021 | 14 | |
| 18 | 2023 | 10 | |
| 19 | 2024 | 8 | |
| 20 | 2025 | 8 |
About Jun Fei
Jun Fei is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Molecular Biology, Health, Toxicology and Mutagenesis and Transportation, having authored 27 papers that have together received 609 indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), Urban Transport and Accessibility (4 papers), Asthma and respiratory diseases (4 papers), S100 Proteins and Annexins (3 papers), COVID-19 Clinical Research Studies (3 papers), Respiratory Support and Mechanisms (2 papers), Noise Effects and Management (2 papers) and Air Quality and Health Impacts (2 papers). The work is most often cited by research in Transportation (57 citations), Health, Toxicology and Mutagenesis (72 citations), Infectious Diseases (82 citations), Speech and Hearing (22 citations) and Pulmonary and Respiratory Medicine (104 citations). Jun Fei has collaborated with scholars based in China, United Kingdom and France. Frequent co-authors include Lin Fu, Hui Zhao, Hui-Xian Xiang, De‐Xiang Xu, Wei Yang, Hong Chen, Jiabin Li, Yingpeng Li, Wei Cao and Ying Xiang. Their work appears in journals such as Lung, BMC Infectious Diseases, Archives of Medical Science, The Journal of Immunology and Respiratory Research.
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.