Hua-Peng Liaw

557 citations
6 papers · 286 indexed · h-index 5
Topics
Advanced Memory and Neural Computing (3 papers)EEG and Brain-Computer Interfaces (2 papers)Neuroscience and Neuropharmacology Research (2 papers)
Journals
ScienceSHILAP Revista de lepidopterologíaIEEE Transactions on Biomedical Circuits and Systems

In The Last Decade

Hua-Peng Liaw

5 papers receiving 282 citations

Peers

Hua-Peng Liaw
Comparison fields: 5 of 41
  • Cognitive Neuroscience 228
  • Cellular and Molecular Neuroscience 147
  • Endocrine and Autonomic Systems 68
  • Cell Biology 30
  • Experimental and Cognitive Psychology 25
Replace Janie M. Ondracek with:
Janie M. Ondracek Germany
Stefanos Stagkourakis Sweden
Xiyue Wang United States
Leigh‐Anne Dell South Africa
Katherine W. Eyring United States
Hiroaki Norimoto Japan
Maya Odagawa Japan
Chelsey Perry United States
Stephen P. Currie United Kingdom
Sophie M. Grutzner United States
Hua-Peng Liaw relative to Janie M. Ondracek Germany Janie M. Ondracek's profile →
Citations per field
00.5×1.5×2.5×
Janie M. Ondracek · 1×
Citations per year

Countries citing papers authored by Hua-Peng Liaw

Since Specialization
Citations

This map shows the geographic impact of Hua-Peng Liaw'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 Hua-Peng Liaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hua-Peng Liaw more than expected).

Fields of papers citing papers by Hua-Peng Liaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hua-Peng Liaw. 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 Hua-Peng Liaw. The network helps show where Hua-Peng Liaw may publish in the future.

Co-authorship network of co-authors of Hua-Peng Liaw

This figure shows the co-authorship network connecting the top 25 collaborators of Hua-Peng Liaw. A scholar is included among the top collaborators of Hua-Peng Liaw 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 Hua-Peng Liaw. Hua-Peng Liaw is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 5
2 6
3 0
4 23
5 146
6 106

About Hua-Peng Liaw

Hua-Peng Liaw is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Neurology, having authored 6 papers that have together received 286 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (3 papers), EEG and Brain-Computer Interfaces (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cognitive Neuroscience (228 citations), Endocrine and Autonomic Systems (68 citations) and Cellular and Molecular Neuroscience (147 citations). Hua-Peng Liaw has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Phil Rich, Albert K. Lee, Sam Reiter, Gilles Laurent, Janie M. Ondracek, Mark Shein‐Idelson, Tracy Yamawaki, Robert K. Naumann, Yao‐Hong Liu and Guangzhi Tang. Their work appears in journals such as Science, SHILAP Revista de lepidopterología and IEEE Transactions on Biomedical Circuits and Systems.

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.

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