Wei‐Kuang Liang
- Cognitive Neuroscience top 2%
- Neurology top 2%
- Experimental and Cognitive Psychology top 10%
- Cardiology and Cardiovascular Medicine
- Psychiatry and Mental health top 10%
- Co-authors
- Chi-Hung JuanPhilip TsengNeil G. MuggletonShih-kuen ChengDaisy L. HungOvid J. L. TzengChun‐Hao WangNorden E. Huang
- Topics
- EEG and Brain-Computer Interfaces (29 papers)Neural dynamics and brain function (26 papers)Neural and Behavioral Psychology Studies (24 papers)
- Journals
- Journal of NeuroscienceSHILAP Revista de lepidopterologíaNeuroImage
- Partner nations
- TaiwanUnited KingdomChina
In The Last Decade
Wei‐Kuang Liang
54 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 103
- Cognitive Neuroscience 972
- Neurology 395
- Experimental and Cognitive Psychology 146
- Cardiology and Cardiovascular Medicine 122
- Psychiatry and Mental health 107
Countries citing papers authored by Wei‐Kuang Liang
This map shows the geographic impact of Wei‐Kuang Liang'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 Wei‐Kuang Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei‐Kuang Liang more than expected).
Fields of papers citing papers by Wei‐Kuang Liang
This network shows the impact of papers produced by Wei‐Kuang Liang. 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 Wei‐Kuang Liang. The network helps show where Wei‐Kuang Liang may publish in the future.
Co-authorship network of co-authors of Wei‐Kuang Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Wei‐Kuang Liang. A scholar is included among the top collaborators of Wei‐Kuang Liang 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 Wei‐Kuang Liang. Wei‐Kuang Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 10 | |
| 4 | 8 | |
| 5 | 8 | |
| 6 | 28 | |
| 7 | 4 | |
| 8 | 32 | |
| 9 | 25 | |
| 10 | 28 | |
| 11 | 15 | |
| 12 | 5 | |
| 13 | 7 | |
| 14 | 28 | |
| 15 | 71 | |
| 16 | 25 | |
| 17 | 15 | |
| 18 | 61 | |
| 19 | 214 | |
| 20 | 24 |
About Wei‐Kuang Liang
Wei‐Kuang Liang is a scholar working on Cognitive Neuroscience, Neurology and Experimental and Cognitive Psychology, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (29 papers), Neural dynamics and brain function (26 papers) and Neural and Behavioral Psychology Studies (24 papers). The work is most often cited by research in Cognitive Neuroscience (972 citations), Neurology (395 citations) and Experimental and Cognitive Psychology (146 citations). Wei‐Kuang Liang has collaborated with scholars based in Taiwan, United Kingdom and China. Frequent co-authors include Chi-Hung Juan, Philip Tseng, Neil G. Muggleton, Shih-kuen Cheng, Daisy L. Hung, Ovid J. L. Tzeng, Chun‐Hao Wang, Norden E. Huang, Tzu‐Yu Hsu and Chi‐Hung Juan. Their work appears in journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and NeuroImage.
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.