Haijun Yang
Impact in
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- Chaos control and synchronization
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- IL-33, ST2, and ILC Pathways
Papers in
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- Asthma and respiratory diseases 4
- Co-authors
- Cunfang Feng (5 shared papers)Yufei Dai (6 shared papers)G. Stranzinger (2 shared papers)Ruedi Fries (2 shared papers)Haiyan Dong (2 shared papers)Yuxin Zheng (1 shared paper)Hong‐Hao Zhou (1 shared paper)Cai Zhou (3 shared papers)
- Journals
- Scientific Reports (1 paper)Tuberculosis (1 paper)Annals of Oncology (1 paper)International Journal of Non-Linear Mechanics (1 paper)Animal Genetics (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Haijun Yang
29 papers receiving 199 citations
Peers
Comparison fields: 5 of 83
- Statistical and Nonlinear Physics 31
- Immunology 42
- Physiology 41
- Biological Psychiatry 3
- Infectious Diseases 22
Countries citing papers authored by Haijun Yang
This map shows the geographic impact of Haijun Yang'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 Haijun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haijun Yang more than expected).
Fields of papers citing papers by Haijun Yang
This network shows the impact of papers produced by Haijun Yang. 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 Haijun Yang. The network helps show where Haijun Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Haijun Yang, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 26 | |
| 2 | 2020 | 18 | |
| 3 | 2011 | 15 | |
| 4 | 2020 | 15 | |
| 5 | 2011 | 10 | |
| 6 | 2011 | 10 | |
| 7 | 1993 | 10 | |
| 8 | 2013 | 10 | |
| 9 | 2014 | 10 | |
| 10 | 1992 | 9 | |
| 11 | 2017 | 9 | |
| 12 | 2013 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2023 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2014 | 5 | |
| 18 | 2019 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2021 | 3 |
About Haijun Yang
Haijun Yang is a scholar working on Molecular Biology, Physiology, Computer Networks and Communications, Pulmonary and Respiratory Medicine and Statistical and Nonlinear Physics, having authored 32 papers that have together received 205 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (5 papers), Chaos control and synchronization (5 papers), Asthma and respiratory diseases (4 papers), Neural Networks Stability and Synchronization (3 papers), IL-33, ST2, and ILC Pathways (3 papers), Impact of Technology on Adolescents (2 papers), Contact Dermatitis and Allergies (2 papers) and Occupational exposure and asthma (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (31 citations), Immunology (42 citations), Physiology (41 citations), Biological Psychiatry (3 citations) and Infectious Diseases (22 citations). Haijun Yang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Cunfang Feng, Yufei Dai, G. Stranzinger, Ruedi Fries, Haiyan Dong, Yuxin Zheng, Hong‐Hao Zhou, Cai Zhou, Yuxin Zheng and Xing Huang. Their work appears in journals such as Scientific Reports, Tuberculosis, Annals of Oncology, International Journal of Non-Linear Mechanics and Animal Genetics.
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.