Chuangyin Dang
- Computational Theory and Mathematics top 0.05%
- Rough Sets and Fuzzy Logic 41
- Optimization and Variational Analysis 15
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- Game Theory and Applications 16
- Information Systems top 0.2%
- Data Mining Algorithms and Applications 28
- Artificial Intelligence top 0.2%
- Signal Processing top 1%
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- Advanced Optimization Algorithms Research 33
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- Stability and Control of Uncertain Systems 20
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- Neural Networks Stability and Synchronization 19
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- Face and Expression Recognition 14
- Cited by
- Computational Theory and MathematicsManagement Science and Operations ResearchInformation Systems
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (2 papers)IEEE Transactions on Automatic Control (1 paper)Applied Energy (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Chuangyin Dang
196 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Computational Theory and Mathematics 4.0k
- Management Science and Operations Research 1.3k
- Information Systems 2.2k
- Artificial Intelligence 2.9k
- Signal Processing 571
Countries citing papers authored by Chuangyin Dang
This map shows the geographic impact of Chuangyin Dang'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 Chuangyin Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chuangyin Dang more than expected).
Fields of papers citing papers by Chuangyin Dang
This network shows the impact of papers produced by Chuangyin Dang. 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 Chuangyin Dang. The network helps show where Chuangyin Dang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chuangyin Dang, 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 | 2025 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 13 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 6 | |
| 6 | 2023 | 1 | |
| 7 | 2018 | 50 | |
| 8 | 2018 | 1 | |
| 9 | A PARAMETER FREE FILLED FUNCTION METHOD FOR GLOBAL OPTIMIZATION | 2018 | 2 |
| 10 | 2018 | 2 | |
| 11 | 2017 | 64 | |
| 12 | 2014 | 4 | |
| 13 | 2014 | 2 | |
| 14 | 2012 | 21 | |
| 15 | 2012 | 30 | |
| 16 | 2012 | 143 | |
| 17 | 2010 | 1 | |
| 18 | 2008 | 90 | |
| 19 | 2004 | 26 | |
| 20 | 2002 | 3 |
About Chuangyin Dang
Chuangyin Dang is a scholar working on Numerical Analysis, Computational Theory and Mathematics and Computational Mathematics, having authored 211 papers that have together received 7.1k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (41 papers), Advanced Optimization Algorithms Research (33 papers), Data Mining Algorithms and Applications (28 papers), Stability and Control of Uncertain Systems (20 papers), Neural Networks Stability and Synchronization (19 papers), Game Theory and Applications (16 papers), Optimization and Variational Analysis (15 papers) and Face and Expression Recognition (14 papers). The work is most often cited by research in Computational Theory and Mathematics (4.0k citations), Management Science and Operations Research (1.3k citations) and Information Systems (2.2k citations). Chuangyin Dang has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Jiye Liang, Yuhua Qian, Witold Pedrycz, Yiyu Yao, Xingwen Liu, Liang Bai, Fuyuan Cao, Hongbin Zhang, Yuping Wang and Kwai‐Sang Chin. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and Applied Energy.
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.