Yin Fen Low
- Cognitive Neuroscience top 5%
- Sensory Systems top 5%
- Biomedical Engineering
- Neurology
- Signal Processing
- Co-authors
- Daniel J. StraußW. DelbRoberto D’AmelioYun‐Huoy ChooFarah I. Corona–StraussPeter FalkaiHarald SeidlerThomas Wobrock
- Topics
- EEG and Brain-Computer Interfaces (14 papers)Neural dynamics and brain function (9 papers)Hearing, Cochlea, Tinnitus, Genetics (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeuroImageIEEE Transactions on Neural Systems and Rehabilitation Engineering
- Partner nations
- MalaysiaGermanyBangladesh
In The Last Decade
Yin Fen Low
30 papers receiving 310 citations
Peers
Comparison fields: 5 of 60
- Cognitive Neuroscience 257
- Sensory Systems 84
- Biomedical Engineering 45
- Neurology 43
- Signal Processing 39
Countries citing papers authored by Yin Fen Low
This map shows the geographic impact of Yin Fen Low'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 Yin Fen Low with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yin Fen Low more than expected).
Fields of papers citing papers by Yin Fen Low
This network shows the impact of papers produced by Yin Fen Low. 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 Yin Fen Low. The network helps show where Yin Fen Low may publish in the future.
Co-authorship network of co-authors of Yin Fen Low
This figure shows the co-authorship network connecting the top 25 collaborators of Yin Fen Low. A scholar is included among the top collaborators of Yin Fen Low 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 Yin Fen Low. Yin Fen Low 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 | 4 | |
| 3 | Electromyography - A Reliable Technique for Muscle Activity Assessment | 2 |
| 4 | 19 | |
| 5 | 21 | |
| 6 | Identifying Visual Evoked Potential (VEP) Electrodes Setting for Person Authentication | 10 |
| 7 | 30 | |
| 8 | 4 | |
| 9 | 18 | |
| 10 | 2 | |
| 11 | 14 | |
| 12 | 3 | |
| 13 | 40 | |
| 14 | 10 | |
| 15 | 43 | |
| 16 | 9 | |
| 17 | 25 | |
| 18 | 4 | |
| 19 | 7 | |
| 20 | Enhancing neural network electricity load forecast with wavelet techniques | 1 |
About Yin Fen Low
Yin Fen Low is a scholar working on Sensory Systems, Cognitive Neuroscience and Human-Computer Interaction, having authored 30 papers that have together received 321 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (14 papers), Neural dynamics and brain function (9 papers) and Hearing, Cochlea, Tinnitus, Genetics (7 papers). The work is most often cited by research in Sensory Systems (84 citations), Cognitive Neuroscience (257 citations) and Neurology (43 citations). Yin Fen Low has collaborated with scholars based in Malaysia, Germany and Bangladesh. Frequent co-authors include Daniel J. Strauß, W. Delb, Roberto D’Amelio, Yun‐Huoy Choo, Farah I. Corona–Strauss, Peter Falkai, Harald Seidler, Thomas Wobrock, Hernando Ombao and Mark Fiecas. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and IEEE Transactions on Neural Systems and Rehabilitation 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.