Ming‐Chung Ho
Impact in
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- Chaos control and synchronization
- Quantum chaos and dynamical systems
- stochastic dynamics and bifurcation
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- Nonlinear Dynamics and Pattern Formation
- Neural Networks Stability and Synchronization
Papers in
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- Chaos control and synchronization 15
- stochastic dynamics and bifurcation 4
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- Nonlinear Dynamics and Pattern Formation 16
- Co-authors
- Yao-Chen HungI-Min JiangZhiyu LiuYu‐Ting HuangChin‐Kun HuChia‐Ju LiuTsung‐Ching ChenYu‐Te Lin
In The Last Decade
Ming‐Chung Ho
31 papers receiving 644 citations
Peers
Comparison fields: 5 of 64
- Statistical and Nonlinear Physics 553
- Computer Networks and Communications 512
- Cognitive Neuroscience 84
- Computer Vision and Pattern Recognition 58
- Mathematical Physics 10
Countries citing papers authored by Ming‐Chung Ho
This map shows the geographic impact of Ming‐Chung Ho'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 Ming‐Chung Ho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Chung Ho more than expected).
Fields of papers citing papers by Ming‐Chung Ho
This network shows the impact of papers produced by Ming‐Chung Ho. 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 Ming‐Chung Ho. The network helps show where Ming‐Chung Ho may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Ming‐Chung Ho, 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 | 0 | |
| 2 | 2023 | 6 | |
| 3 | 2022 | 1 | |
| 4 | 2021 | 2 | |
| 5 | 2016 | 2 | |
| 6 | 2016 | 2 | |
| 7 | 2015 | 1 | |
| 8 | 2014 | 12 | |
| 9 | 2012 | 8 | |
| 10 | 2011 | 25 | |
| 11 | 2010 | 0 | |
| 12 | 2009 | 3 | |
| 13 | 2008 | 57 | |
| 14 | 2006 | 27 | |
| 15 | 2005 | 17 | |
| 16 | 2003 | 8 | |
| 17 | 2002 | 227 | |
| 18 | 2002 | 156 | |
| 19 | Determinism Test, Noise Estimate and Hidden Frequency Recognition: the Singular Value Decomposition Approach | 1999 | 1 |
| 20 | 1999 | 1 |
About Ming‐Chung Ho
Ming‐Chung Ho is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications, Cognitive Neuroscience, Artificial Intelligence and Computational Theory and Mathematics, having authored 33 papers that have together received 691 indexed citations. Recurring topics across this work include Nonlinear Dynamics and Pattern Formation (16 papers), Chaos control and synchronization (15 papers), Neural dynamics and brain function (7 papers), EEG and Brain-Computer Interfaces (7 papers), Functional Brain Connectivity Studies (5 papers), stochastic dynamics and bifurcation (4 papers), Complex Systems and Time Series Analysis (4 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (553 citations), Computer Networks and Communications (512 citations), Cognitive Neuroscience (84 citations), Computer Vision and Pattern Recognition (58 citations) and Mathematical Physics (10 citations). Ming‐Chung Ho has collaborated with scholars based in Taiwan, China and Japan. Frequent co-authors include Yao-Chen Hung, I-Min Jiang, Zhiyu Liu, Yu‐Ting Huang, Chin‐Kun Hu, Chia‐Ju Liu, Tsung‐Ching Chen, Yu‐Te Lin, Ying‐Chao Hung and Jyh‐Long Chern. Their work appears in journals such as Physics Letters A, Chaos Solitons & Fractals, Optics Express, Europhysics Letters (EPL) and International Journal of Nonlinear Sciences and Numerical Simulation.
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.