Chun‐Hsiang Chuang
- Cognitive Neuroscience top 2%
- Experimental and Cognitive Psychology top 2%
- Cardiology and Cardiovascular Medicine top 5%
- Social Psychology top 5%
- Human-Computer Interaction top 2%
- Co-authors
- Chin‐Teng LinLi‐Wei KoChih-Sheng HuangTzyy‐Ping JungYu–Kai WangYuting LiuYang-Yin LinJung‐Tai King
- Topics
- EEG and Brain-Computer Interfaces (43 papers)Sleep and Work-Related Fatigue (17 papers)Neural dynamics and brain function (16 papers)
- Partner nations
- TaiwanUnited StatesAustralia
In The Last Decade
Chun‐Hsiang Chuang
62 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 113
- Cognitive Neuroscience 1.2k
- Experimental and Cognitive Psychology 616
- Cardiology and Cardiovascular Medicine 335
- Social Psychology 234
- Human-Computer Interaction 233
Countries citing papers authored by Chun‐Hsiang Chuang
This map shows the geographic impact of Chun‐Hsiang Chuang'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 Chun‐Hsiang Chuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐Hsiang Chuang more than expected).
Fields of papers citing papers by Chun‐Hsiang Chuang
This network shows the impact of papers produced by Chun‐Hsiang Chuang. 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 Chun‐Hsiang Chuang. The network helps show where Chun‐Hsiang Chuang may publish in the future.
Co-authorship network of co-authors of Chun‐Hsiang Chuang
This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Hsiang Chuang. A scholar is included among the top collaborators of Chun‐Hsiang Chuang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chun‐Hsiang Chuang. Chun‐Hsiang Chuang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | 10 | |
| 9 | 7 | |
| 10 | 14 | |
| 11 | An Adaptive Subspace Self-Organizing Map (ASSOM) Imbalanced Learning and Its Applications in EEG. | 1 |
| 12 | 60 | |
| 13 | 56 | |
| 14 | 4 | |
| 15 | 45 | |
| 16 | 62 | |
| 17 | 46 | |
| 18 | 10 | |
| 19 | 23 | |
| 20 | 9 |
About Chun‐Hsiang Chuang
Chun‐Hsiang Chuang is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Human-Computer Interaction, having authored 69 papers that have together received 1.8k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (43 papers), Sleep and Work-Related Fatigue (17 papers) and Neural dynamics and brain function (16 papers). The work is most often cited by research in Cognitive Neuroscience (1.2k citations), Experimental and Cognitive Psychology (616 citations) and Human-Computer Interaction (233 citations). Chun‐Hsiang Chuang has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Chin‐Teng Lin, Li‐Wei Ko, Chih-Sheng Huang, Tzyy‐Ping Jung, Yu–Kai Wang, Yuting Liu, Yang-Yin Lin, Jung‐Tai King, Shang-Lin Wu and Zehong Cao. Their work appears in journals such as NeuroImage, Scientific Reports and Brain Research.
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.