Jing‐Cheng Liu
- Mathematical Physics top 5%
- Mathematical Dynamics and Fractals 25
- Spectral Theory in Mathematical Physics 10
- Advanced Algebra and Geometry 6
- Stochastic processes and statistical mechanics 3
- Applied Mathematics top 5%
- Mathematical Analysis and Transform Methods 25
- Statistics and Probability top 5%
- Markov Chains and Monte Carlo Methods 7
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- Quantum chaos and dynamical systems 6
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- Bayesian Methods and Mixture Models 3
- Co-authors
- Jun LuoMingliang ChenHeng GuoMark JerrumAlistair SinclairPiyush SrivastavaKa‐Sing LauXiangyang Wang
- Journals
- Journal of the ACM (1 paper)Journal of Mathematical Analysis and Applications (3 papers)SIAM Journal on Computing (1 paper)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Jing‐Cheng Liu
36 papers receiving 286 citations
Peers
Comparison fields: 5 of 44
- Mathematical Physics 211
- Applied Mathematics 171
- Statistics and Probability 53
- Computational Theory and Mathematics 52
- Discrete Mathematics and Combinatorics 9
Countries citing papers authored by Jing‐Cheng Liu
This map shows the geographic impact of Jing‐Cheng Liu'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 Jing‐Cheng Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing‐Cheng Liu more than expected).
Fields of papers citing papers by Jing‐Cheng Liu
This network shows the impact of papers produced by Jing‐Cheng Liu. 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 Jing‐Cheng Liu. The network helps show where Jing‐Cheng Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jing‐Cheng Liu, 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 | 2023 | 2 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 0 | |
| 6 | 2021 | 10 | |
| 7 | 2020 | 3 | |
| 8 | 2020 | 2 | |
| 9 | 2019 | 7 | |
| 10 | 2019 | 4 | |
| 11 | 2019 | 7 | |
| 12 | 2018 | 15 | |
| 13 | 2017 | 4 | |
| 14 | 2016 | 20 | |
| 15 | 2015 | 3 | |
| 16 | 2015 | 20 | |
| 17 | 2013 | 4 | |
| 18 | 2012 | 14 | |
| 19 | Composition Operators from Weighted Bergman Spaces to μ-Bloch Spaces | 2007 | 2 |
| 20 | 2007 | 7 |
About Jing‐Cheng Liu
Jing‐Cheng Liu is a scholar working on Mathematical Physics, Applied Mathematics and Computational Mathematics, having authored 40 papers that have together received 291 indexed citations. Recurring topics across this work include Mathematical Analysis and Transform Methods (25 papers), Mathematical Dynamics and Fractals (25 papers), Spectral Theory in Mathematical Physics (10 papers), Markov Chains and Monte Carlo Methods (7 papers), Advanced Algebra and Geometry (6 papers), Quantum chaos and dynamical systems (6 papers), Bayesian Methods and Mixture Models (3 papers) and Stochastic processes and statistical mechanics (3 papers). The work is most often cited by research in Mathematical Physics (211 citations), Applied Mathematics (171 citations) and Statistics and Probability (53 citations). Jing‐Cheng Liu has collaborated with scholars based in China, United States and India. Frequent co-authors include Jun Luo, Mingliang Chen, Heng Guo, Mark Jerrum, Alistair Sinclair, Piyush Srivastava, Ka‐Sing Lau, Xiangyang Wang, Jia Zheng and Ying Zhang. Their work appears in journals such as Journal of the ACM, Journal of Mathematical Analysis and Applications and SIAM Journal on Computing.
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.