Ying-Cheng Lai
- Statistical and Nonlinear Physics top 0.2%
- Chaos control and synchronization 51
- Quantum chaos and dynamical systems 42
- Opinion Dynamics and Social Influence 6
- Complex Network Analysis Techniques 5
- Computer Networks and Communications top 0.5%
- Nonlinear Dynamics and Pattern Formation 41
- Mathematical Physics top 2%
- Mathematical Dynamics and Fractals 16
- Modeling and Simulation top 5%
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function 5
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- Complex Systems and Time Series Analysis 9
- Co-authors
- Celso GrebogiYoshihiko NagaiErik M. BolltJames A. YorkeMukeshwar DhamalaFrank C. HoppensteadtMary Ann F. HarrisonShankar C. Venkataramani
- Journals
- Physical Review Letters (14 papers)Scientific Reports (1 paper)Physics Letters A (7 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Ying-Cheng Lai
82 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 123
- Statistical and Nonlinear Physics 2.4k
- Computer Networks and Communications 1.8k
- Mathematical Physics 326
- Modeling and Simulation 78
- Cognitive Neuroscience 286
Countries citing papers authored by Ying-Cheng Lai
This map shows the geographic impact of Ying-Cheng Lai'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 Ying-Cheng Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying-Cheng Lai more than expected).
Fields of papers citing papers by Ying-Cheng Lai
This network shows the impact of papers produced by Ying-Cheng Lai. 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 Ying-Cheng Lai. The network helps show where Ying-Cheng Lai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ying-Cheng Lai, 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 | 2020 | 34 | |
| 2 | 2019 | 133 | |
| 3 | 2019 | 28 | |
| 4 | 2017 | 50 | |
| 5 | 2012 | 5 | |
| 6 | 2011 | 26 | |
| 7 | 2006 | 4 | |
| 8 | 2004 | 63 | |
| 9 | 2004 | 56 | |
| 10 | 2003 | 32 | |
| 11 | 2003 | 67 | |
| 12 | 2001 | 42 | |
| 13 | 2001 | 48 | |
| 14 | 2001 | 15 | |
| 15 | 1999 | 20 | |
| 16 | 1999 | 17 | |
| 17 | 1999 | 27 | |
| 18 | 1999 | 168 | |
| 19 | 1997 | 46 | |
| 20 | 1996 | 17 |
About Ying-Cheng Lai
Ying-Cheng Lai is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Mathematical Physics, having authored 83 papers that have together received 3.2k indexed citations. Recurring topics across this work include Chaos control and synchronization (51 papers), Quantum chaos and dynamical systems (42 papers), Nonlinear Dynamics and Pattern Formation (41 papers), Mathematical Dynamics and Fractals (16 papers), Complex Systems and Time Series Analysis (9 papers), Opinion Dynamics and Social Influence (6 papers), Neural dynamics and brain function (5 papers) and Complex Network Analysis Techniques (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.4k citations), Computer Networks and Communications (1.8k citations) and Mathematical Physics (326 citations). Ying-Cheng Lai has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Celso Grebogi, Yoshihiko Nagai, Erik M. Bollt, James A. Yorke, Mukeshwar Dhamala, Frank C. Hoppensteadt, Mary Ann F. Harrison, Shankar C. Venkataramani, Alan Hastings and Raimond L. Winslow. Their work appears in journals such as Physical Review Letters, Scientific Reports and Physics Letters A.
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.