Jun Fei
- Transportation top 10%
- Urban Transport and Accessibility 4
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- Urban Green Space and Health 2
- Air Quality and Health Impacts 2
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- COVID-19 Clinical Research Studies 4
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- Chronic Obstructive Pulmonary Disease (COPD) Research 8
- Neonatal Respiratory Health Research 5
- Speech and Hearing top 10%
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- Asthma and respiratory diseases 4
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- S100 Proteins and Annexins 3
- Co-authors
- Lin FuHui ZhaoDe‐Xiang XuHui-Xian XiangWei CaoJiabin LiYuan‐Hua ChenYing Xiang
- Partner nations
- ChinaUnited KingdomFrance
In The Last Decade
Jun Fei
25 papers receiving 562 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Transportation 44
- Health, Toxicology and Mutagenesis 85
- Infectious Diseases 109
- Pulmonary and Respiratory Medicine 179
- Speech and Hearing 27
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 4 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 8 | |
| 6 | Unraveling nonlinear and interaction effects of multilevel built environment features on outdoor jogging with explainable machine learningbreakdown → | 2024 | 43 |
| 7 | 2024 | 18 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 9 | |
| 10 | 2021 | 19 | |
| 11 | 2021 | 26 | |
| 12 | 2021 | 31 | |
| 13 | 2021 | 37 | |
| 14 | 2020 | 28 | |
| 15 | 2020 | 27 | |
| 16 | 2020 | 15 | |
| 17 | 2020 | 25 | |
| 18 | 2020 | 17 | |
| 19 | 2018 | 39 | |
| 20 | 2011 | 56 |
About Jun Fei
Jun Fei is a scholar working on Transportation, Pulmonary and Respiratory Medicine, Speech and Hearing, Health, Toxicology and Mutagenesis and Infectious Diseases, having authored 26 papers that have together received 563 indexed citations. Recurring topics across this work include Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers), Neonatal Respiratory Health Research (5 papers), COVID-19 Clinical Research Studies (4 papers), Urban Transport and Accessibility (4 papers), Asthma and respiratory diseases (4 papers), S100 Proteins and Annexins (3 papers), Urban Green Space and Health (2 papers) and Air Quality and Health Impacts (2 papers). The work is most often cited by research in Transportation (44 citations), Health, Toxicology and Mutagenesis (85 citations), Infectious Diseases (109 citations), Pulmonary and Respiratory Medicine (179 citations) and Speech and Hearing (27 citations). Jun Fei has collaborated with scholars based in China, United Kingdom and France. Frequent co-authors include Lin Fu, Hui Zhao, De‐Xiang Xu, Hui-Xian Xiang, Wei Cao, Jiabin Li, Yuan‐Hua Chen, Ying Xiang, Wei Yang and Ling Zheng. Their work appears in journals such as Lung, Archives of Medical Science, The Journal of Immunology, BMC Infectious Diseases and Canadian Respiratory Journal.
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.