Lu‐Xing Yang
Impact in
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Modeling and Simulation top 0.5%
- COVID-19 epidemiological studies
Papers in
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- Complex Network Analysis Techniques 47
- Opinion Dynamics and Social Influence 31
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- Network Security and Intrusion Detection 37
- Co-authors
- Xiaofan Yang (57 shared papers)Yuan Yan Tang (27 shared papers)Qingyi Zhu (14 shared papers)Xiaofan Yang (19 shared papers)Pengdeng Li (14 shared papers)Yingbo Wu (14 shared papers)Yong Xiang (12 shared papers)Jianguo Ren (2 shared papers)
In The Last Decade
Lu‐Xing Yang
93 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 99
- Statistical and Nonlinear Physics 1.2k
- Modeling and Simulation 358
- Computer Networks and Communications 1.1k
- Public Health, Environmental and Occupational Health 1.0k
- Signal Processing 342
Countries citing papers authored by Lu‐Xing Yang
This map shows the geographic impact of Lu‐Xing 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 Lu‐Xing Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu‐Xing Yang more than expected).
Fields of papers citing papers by Lu‐Xing Yang
This network shows the impact of papers produced by Lu‐Xing 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 Lu‐Xing Yang. The network helps show where Lu‐Xing Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu‐Xing 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 165 | |
| 2 | 2011 | 139 | |
| 3 | 2012 | 128 | |
| 4 | 2012 | 90 | |
| 5 | 2018 | 90 | |
| 6 | 2016 | 81 | |
| 7 | 2013 | 80 | |
| 8 | 2012 | 78 | |
| 9 | 2017 | 76 | |
| 10 | 2013 | 76 | |
| 11 | 2018 | 70 | |
| 12 | 2019 | 70 | |
| 13 | 2013 | 68 | |
| 14 | 2016 | 59 | |
| 15 | 2019 | 57 | |
| 16 | 2012 | 54 | |
| 17 | 2012 | 53 | |
| 18 | 2015 | 52 | |
| 19 | 2016 | 51 | |
| 20 | 2017 | 44 |
About Lu‐Xing Yang
Lu‐Xing Yang is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Public Health, Environmental and Occupational Health, Information Systems and Signal Processing, having authored 97 papers that have together received 2.5k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (47 papers), Network Security and Intrusion Detection (37 papers), Opinion Dynamics and Social Influence (31 papers), Mathematical and Theoretical Epidemiology and Ecology Models (29 papers), Advanced Malware Detection Techniques (14 papers), Misinformation and Its Impacts (8 papers), Smart Grid Security and Resilience (8 papers) and Information and Cyber Security (7 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.2k citations), Modeling and Simulation (358 citations), Computer Networks and Communications (1.1k citations), Public Health, Environmental and Occupational Health (1.0k citations) and Signal Processing (342 citations). Lu‐Xing Yang has collaborated with scholars based in China, Australia and Macao. Frequent co-authors include Xiaofan Yang, Yuan Yan Tang, Qingyi Zhu, Xiaofan Yang, Pengdeng Li, Yingbo Wu, Yong Xiang, Jianguo Ren, Luosheng Wen and Moez Draief. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, PLoS ONE, IEEE Access, IEEE Transactions on Information Forensics and Security and Nonlinear Dynamics.
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.