Yuan‐Pin Lin
- Cognitive Neuroscience top 1%
- Experimental and Cognitive Psychology top 1%
- Signal Processing top 2%
- Human-Computer Interaction top 1%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Tzyy‐Ping JungJyh‐Horng ChenTien-Lin WuChi‐Hong WangShyh‐Kang JengJeng‐Ren DuannChin‐Teng LinYijun Wang
- Topics
- EEG and Brain-Computer Interfaces (38 papers)Neural dynamics and brain function (24 papers)Emotion and Mood Recognition (13 papers)
- Partner nations
- TaiwanUnited StatesLithuania
In The Last Decade
Yuan‐Pin Lin
41 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Cognitive Neuroscience 1.6k
- Experimental and Cognitive Psychology 879
- Signal Processing 315
- Human-Computer Interaction 259
- Cellular and Molecular Neuroscience 198
Countries citing papers authored by Yuan‐Pin Lin
This map shows the geographic impact of Yuan‐Pin Lin'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 Yuan‐Pin Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan‐Pin Lin more than expected).
Fields of papers citing papers by Yuan‐Pin Lin
This network shows the impact of papers produced by Yuan‐Pin Lin. 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 Yuan‐Pin Lin. The network helps show where Yuan‐Pin Lin may publish in the future.
Co-authorship network of co-authors of Yuan‐Pin Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Yuan‐Pin Lin. A scholar is included among the top collaborators of Yuan‐Pin Lin 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 Yuan‐Pin Lin. Yuan‐Pin Lin 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 | 11 | |
| 3 | 35 | |
| 4 | 79 | |
| 5 | 27 | |
| 6 | 122 | |
| 7 | The nGoggle: A Portable Brain-Based Method for Assessment of Visual Function Deficits in Glaucoma | 4 |
| 8 | Using Multifocal Steady-State Visual Evoked Potentials for Objective Assessment of Visual Field Loss in Glaucoma | 1 |
| 9 | 36 | |
| 10 | 71 | |
| 11 | 31 | |
| 12 | 22 | |
| 13 | 41 | |
| 14 | 30 | |
| 15 | 52 | |
| 16 | 3 | |
| 17 | 50 | |
| 18 | EEG-Based Emotion Recognition in Music Listeningbreakdown → | 757 |
| 19 | 10 | |
| 20 | 23 |
About Yuan‐Pin Lin
Yuan‐Pin Lin is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Human-Computer Interaction, having authored 42 papers that have together received 1.9k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (38 papers), Neural dynamics and brain function (24 papers) and Emotion and Mood Recognition (13 papers). The work is most often cited by research in Cognitive Neuroscience (1.6k citations), Experimental and Cognitive Psychology (879 citations) and Human-Computer Interaction (259 citations). Yuan‐Pin Lin has collaborated with scholars based in Taiwan, United States and Lithuania. Frequent co-authors include Tzyy‐Ping Jung, Jyh‐Horng Chen, Tien-Lin Wu, Chi‐Hong Wang, Shyh‐Kang Jeng, Jeng‐Ren Duann, Chin‐Teng Lin, Yijun Wang, Chun-Shu Wei and Yi‐Hsuan Yang. Their work appears in journals such as NeuroImage, IEEE Access and IEEE Transactions on Biomedical Engineering.
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.