Chia-Ming Wang
Impact in
-
- 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
-
- Evolutionary Algorithms and Applications 2
- 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)Jeffrey De'Haven Hyman (1 shared paper)Yanghong Huang (1 shared paper)
- Journals
- Journal of Computational Physics (2 papers)Expert Systems with Applications (2 papers)Electronics Letters (1 paper)Multiscale Modeling and Simulation (1 paper)International Journal of Modern Physics C (1 paper)
- Partner nations
- TaiwanUnited StatesItaly
In The Last Decade
Chia-Ming Wang
11 papers receiving 488 citations
Peers
Comparison fields: 5 of 78
- Computational Theory and Mathematics 142
- Artificial Intelligence 243
- Signal Processing 42
- Computer Vision and Pattern Recognition 69
- Applied Mathematics 33
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 16 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 | 246 | |
| 2 | 2008 | 104 | |
| 3 | 2008 | 43 | |
| 4 | 2009 | 32 | |
| 5 | 2008 | 29 | |
| 6 | 2020 | 18 | |
| 7 | 2009 | 15 | |
| 8 | 2009 | 12 | |
| 9 | 1998 | 6 | |
| 10 | Element-Embedded Style Transfer Networks for Style Harmonization. | 2019 | 4 |
| 11 | 2009 | 2 | |
| 12 | 2005 | 1 |
About Chia-Ming Wang
Chia-Ming Wang is a scholar working on Artificial Intelligence, Media Technology, Applied Mathematics, Signal Processing and Information Systems, having authored 12 papers that have together received 512 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (3 papers), Evolutionary Algorithms and Applications (2 papers), Plasma Diagnostics and Applications (2 papers), Data Management and Algorithms (2 papers), Gas Dynamics and Kinetic Theory (2 papers), Advanced Data Compression Techniques (1 paper), Machine Learning in Bioinformatics (1 paper) and Laser-induced spectroscopy and plasma (1 paper). The work is most often cited by research in Computational Theory and Mathematics (142 citations), Artificial Intelligence (243 citations), Signal Processing (42 citations), Computer Vision and Pattern Recognition (69 citations) and Applied Mathematics (33 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, Jeffrey De'Haven Hyman, Yanghong Huang, Allon G. Percus and King‐Chu Hung. Their work appears in journals such as Journal of Computational Physics, Expert Systems with Applications, Electronics Letters, Multiscale Modeling and Simulation and International Journal of Modern Physics C.
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.