Chunhua Bian
- Economics and Econometrics top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Cognitive Neuroscience top 10%
- Statistical and Nonlinear Physics top 5%
- Molecular Biology
- Co-authors
- Xinbao NingD. Y. QianliQin ChangQinghong ShenJun WangYing ChenQianli MaXiaojun Qiu
- Topics
- Heart Rate Variability and Autonomic Control (12 papers)Complex Systems and Time Series Analysis (9 papers)Chaos control and synchronization (6 papers)
- Cited by
- Statistical and Nonlinear PhysicsCardiology and Cardiovascular MedicineEconomics and Econometrics
- Partner nations
- ChinaUnited StatesBulgaria
In The Last Decade
Chunhua Bian
26 papers receiving 401 citations
Peers
Comparison fields: 5 of 78
- Economics and Econometrics 189
- Cardiology and Cardiovascular Medicine 171
- Cognitive Neuroscience 126
- Statistical and Nonlinear Physics 122
- Molecular Biology 81
Countries citing papers authored by Chunhua Bian
This map shows the geographic impact of Chunhua Bian'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 Chunhua Bian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunhua Bian more than expected).
Fields of papers citing papers by Chunhua Bian
This network shows the impact of papers produced by Chunhua Bian. 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 Chunhua Bian. The network helps show where Chunhua Bian may publish in the future.
Co-authorship network of co-authors of Chunhua Bian
This figure shows the co-authorship network connecting the top 25 collaborators of Chunhua Bian. A scholar is included among the top collaborators of Chunhua Bian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chunhua Bian. Chunhua Bian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 15 | |
| 7 | 162 | |
| 8 | 18 | |
| 9 | 0 | |
| 10 | 16 | |
| 11 | 16 | |
| 12 | 46 | |
| 13 | 11 | |
| 14 | 6 | |
| 15 | 2 | |
| 16 | 28 | |
| 17 | 22 | |
| 18 | 30 | |
| 19 | 16 | |
| 20 | 7 |
About Chunhua Bian
Chunhua Bian is a scholar working on Statistical and Nonlinear Physics, Cardiology and Cardiovascular Medicine and Economics and Econometrics, having authored 27 papers that have together received 452 indexed citations. Recurring topics across this work include Heart Rate Variability and Autonomic Control (12 papers), Complex Systems and Time Series Analysis (9 papers) and Chaos control and synchronization (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (122 citations), Cardiology and Cardiovascular Medicine (171 citations) and Economics and Econometrics (189 citations). Chunhua Bian has collaborated with scholars based in China, United States and Bulgaria. Frequent co-authors include Xinbao Ning, D. Y. Qianli, Qin Chang, Qinghong Shen, Jun Wang, Ying Chen, Qianli Ma, Qianli Ma, Xiaojun Qiu and Xiaolin Huang. Their work appears in journals such as PLoS ONE, Physica A Statistical Mechanics and its Applications and Europhysics Letters (EPL).
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.