Zimo Yang
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
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- Complex Network Analysis Techniques
Papers in
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- Complex Network Analysis Techniques 7
-
- Long-Term Effects of COVID-19 5
- Co-authors
- Tao Zhou (15 shared papers)Yu Rao (13 shared papers)Zi‐Ke Zhang (4 shared papers)Yonghui Sun (5 shared papers)Xin Biao Lu (1 shared paper)Wei Zhang (1 shared paper)Kexin Yang (1 shared paper)Jingyi Liao (1 shared paper)
- Journals
- Physica A Statistical Mechanics and its Applications (4 papers)JAMA Network Open (3 papers)Journal of Medicinal Chemistry (3 papers)PLoS ONE (2 papers)Chinese Chemical Letters (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Zimo Yang
45 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 128
- Modeling and Simulation 161
- Statistical and Nonlinear Physics 235
- Neurology 104
- Molecular Biology 391
- Transportation 37
Countries citing papers authored by Zimo Yang
This map shows the geographic impact of Zimo 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 Zimo Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zimo Yang more than expected).
Fields of papers citing papers by Zimo Yang
This network shows the impact of papers produced by Zimo 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 Zimo Yang. The network helps show where Zimo Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Zimo 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 233 | |
| 2 | 2019 | 170 | |
| 3 | 2011 | 133 | |
| 4 | 2019 | 130 | |
| 5 | 2012 | 77 | |
| 6 | 2013 | 73 | |
| 7 | 2023 | 71 | |
| 8 | 2021 | 67 | |
| 9 | 2022 | 44 | |
| 10 | 2012 | 36 | |
| 11 | Relative clock verifies endogenous bursts of human dynamics | 2012 | 34 |
| 12 | 2023 | 34 | |
| 13 | 2014 | 31 | |
| 14 | 2011 | 30 | |
| 15 | 2021 | 30 | |
| 16 | 2024 | 28 | |
| 17 | 2018 | 27 | |
| 18 | 2017 | 24 | |
| 19 | 2022 | 23 | |
| 20 | 2016 | 20 |
About Zimo Yang
Zimo Yang is a scholar working on Statistical and Nonlinear Physics, Neurology, Molecular Biology, Transportation and Media Technology, having authored 49 papers that have together received 1.5k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (8 papers), Complex Network Analysis Techniques (7 papers), Long-Term Effects of COVID-19 (5 papers), Complex Systems and Time Series Analysis (3 papers), Heat shock proteins research (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), Avian ecology and behavior (2 papers) and Remote-Sensing Image Classification (2 papers). The work is most often cited by research in Modeling and Simulation (161 citations), Statistical and Nonlinear Physics (235 citations), Neurology (104 citations), Molecular Biology (391 citations) and Transportation (37 citations). Zimo Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Tao Zhou, Yu Rao, Zi‐Ke Zhang, Yonghui Sun, Xin Biao Lu, Wei Zhang, Kexin Yang, Jingyi Liao, Quan-Hui Liu and Zhen Jin. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, JAMA Network Open, Journal of Medicinal Chemistry, PLoS ONE and Chinese Chemical Letters.
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.