Yuting Liu
- Artificial Intelligence top 5%
- Cognitive Neuroscience top 5%
- Endocrine and Autonomic Systems top 2%
- Experimental and Cognitive Psychology top 5%
- Physiology
- Co-authors
- Chin‐Teng LinJun YanHaifang WangYang-Yin LinChunxuan ShaoShang-Lin WuChun‐Hsiang ChuangNikhil R. Pal
- Topics
- EEG and Brain-Computer Interfaces (17 papers)Advanced Memory and Neural Computing (6 papers)Obstructive Sleep Apnea Research (5 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaScientific Reports
In The Last Decade
Yuting Liu
70 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 149
- Artificial Intelligence 334
- Cognitive Neuroscience 318
- Endocrine and Autonomic Systems 268
- Experimental and Cognitive Psychology 191
- Physiology 154
Countries citing papers authored by Yuting Liu
This map shows the geographic impact of Yuting Liu'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 Yuting Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting Liu more than expected).
Fields of papers citing papers by Yuting Liu
This network shows the impact of papers produced by Yuting Liu. 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 Yuting Liu. The network helps show where Yuting Liu may publish in the future.
Co-authorship network of co-authors of Yuting Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Yuting Liu. A scholar is included among the top collaborators of Yuting Liu 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 Yuting Liu. Yuting Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 11 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 0 | |
| 13 | 4 | |
| 14 | 4 | |
| 15 | 9 | |
| 16 | An Adaptive Subspace Self-Organizing Map (ASSOM) Imbalanced Learning and Its Applications in EEG. | 1 |
| 17 | 9 | |
| 18 | 73 | |
| 19 | Finite Sample Analysis of the GTD Policy Evaluation Algorithms in Markov Setting | 8 |
| 20 | 56 |
About Yuting Liu
Yuting Liu is a scholar working on Cognitive Neuroscience, Signal Processing and Artificial Intelligence, having authored 74 papers that have together received 1.4k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (17 papers), Advanced Memory and Neural Computing (6 papers) and Obstructive Sleep Apnea Research (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (268 citations), Aging (51 citations) and Cognitive Neuroscience (318 citations). Yuting Liu has collaborated with scholars based in China, Taiwan and Australia. Frequent co-authors include Chin‐Teng Lin, Jun Yan, Haifang Wang, Yang-Yin Lin, Chunxuan Shao, Shang-Lin Wu, Chun‐Hsiang Chuang, Nikhil R. Pal, Zhi-Ming Ma and Tie‐Yan Liu. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Scientific Reports.
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.