Chia-Ming Wang
Impact in
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- Advanced Multi-Objective Optimization Algorithms
- Rough Sets and Fuzzy Logic
- Artificial Intelligence top 10%
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
- Imbalanced Data Classification Techniques
Papers in
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- Evolutionary Algorithms and Applications 2
- Natural Language Processing Techniques 1
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- Data Mining Algorithms and Applications 3
- Co-authors
- Yin‐Fu Huang (5 shared papers)Russel E. Caflisch (4 shared papers)B. I. Cohen (3 shared papers)A. M. Dimits (3 shared papers)Shyh‐Huei Chen (1 shared paper)Giacomo Dimarco (1 shared paper)Yanghong Huang (1 shared paper)Trieu‐Kien Truong (1 shared paper)
- Journals
- Expert Systems with Applications (2 papers)Journal of Computational Physics (2 papers)International Journal of Modern Physics C (1 paper)Multiscale Modeling and Simulation (1 paper)Electronics Letters (1 paper)
- Partner nations
- TaiwanUnited StatesItaly
In The Last Decade
Chia-Ming Wang
11 papers receiving 425 citations
Peers
Comparison fields: 5 of 76
- Computational Theory and Mathematics 117
- Artificial Intelligence 200
- Signal Processing 33
- Applied Mathematics 32
- Nuclear and High Energy Physics 39
Countries citing papers authored by Chia-Ming Wang
This map shows the geographic impact of Chia-Ming Wang'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 Chia-Ming Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia-Ming Wang more than expected).
Fields of papers citing papers by Chia-Ming Wang
This network shows the impact of papers produced by Chia-Ming Wang. 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 Chia-Ming Wang. The network helps show where Chia-Ming Wang may publish in the future.
Co-authors
The 15 scholars most cited alongside Chia-Ming Wang, 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 | 2009 | 209 | |
| 2 | 2008 | 90 | |
| 3 | 2008 | 43 | |
| 4 | 2009 | 28 | |
| 5 | 2008 | 25 | |
| 6 | 2020 | 18 | |
| 7 | 2009 | 15 | |
| 8 | 2009 | 9 | |
| 9 | 1998 | 6 | |
| 10 | Element-Embedded Style Transfer Networks for Style Harmonization. | 2019 | 3 |
| 11 | 2009 | 2 | |
| 12 | 2005 | 1 |
About Chia-Ming Wang
Chia-Ming Wang is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Computer Vision and Pattern Recognition and Signal Processing, having authored 12 papers that have together received 449 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (3 papers), Data Management and Algorithms (2 papers), Evolutionary Algorithms and Applications (2 papers), Gas Dynamics and Kinetic Theory (2 papers), Plasma Diagnostics and Applications (2 papers), Vehicle Routing Optimization Methods (1 paper), Machine Learning in Bioinformatics (1 paper) and Natural Language Processing Techniques (1 paper). The work is most often cited by research in Computational Theory and Mathematics (117 citations), Artificial Intelligence (200 citations), Signal Processing (33 citations), Applied Mathematics (32 citations) and Nuclear and High Energy Physics (39 citations). Chia-Ming Wang has collaborated with scholars based in Taiwan, United States and Italy. Frequent co-authors include Yin‐Fu Huang, Russel E. Caflisch, B. I. Cohen, A. M. Dimits, Shyh‐Huei Chen, Giacomo Dimarco, Yanghong Huang, Trieu‐Kien Truong, Jeffrey D. Hyman and Allon G. Percus. Their work appears in journals such as Expert Systems with Applications, Journal of Computational Physics, International Journal of Modern Physics C, Multiscale Modeling and Simulation and Electronics 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.