Hsin‐I Liao

41 total papers · 488 total citations
20 papers, 287 citations indexed

About

Hsin‐I Liao is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hsin‐I Liao has authored 20 papers receiving a total of 287 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 10 papers in Experimental and Cognitive Psychology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hsin‐I Liao's work include Visual perception and processing mechanisms (9 papers), Neural and Behavioral Psychology Studies (7 papers) and Multisensory perception and integration (7 papers). Hsin‐I Liao is often cited by papers focused on Visual perception and processing mechanisms (9 papers), Neural and Behavioral Psychology Studies (7 papers) and Multisensory perception and integration (7 papers). Hsin‐I Liao collaborates with scholars based in Japan, Taiwan and United States. Hsin‐I Liao's co-authors include Shigeto Furukawa, Makio Kashino, Makoto Yoneya, Su‐Ling Yeh, Maria Chait, Frederic Dick, Sijia Zhao, Peter Dayan, Shinsuke Shimojo and Homer H. Chen and has published in prestigious journals such as Nature Communications, Scientific Reports and Journal of Cognitive Neuroscience.

In The Last Decade

Hsin‐I Liao

20 papers receiving 280 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Hsin‐I Liao	236	105	44	38	21	20	287
Ulrich Pomper	255 1.1×	95 0.9×	40 0.9×	33 0.9×	7 0.3×	27	301
James H. Kryklywy	198 0.8×	127 1.2×	32 0.7×	39 1.0×	21 1.0×	20	318
Liam J. Norman	205 0.9×	87 0.8×	12 0.3×	28 0.7×	10 0.5×	18	249
Alessandro Benedetto	284 1.2×	60 0.6×	27 0.6×	30 0.8×	10 0.5×	19	315
Marina Kunchulia	182 0.8×	62 0.6×	18 0.4×	40 1.1×	8 0.4×	33	276
Nadia Aguillon-Hernandez	261 1.1×	40 0.4×	23 0.5×	22 0.6×	15 0.7×	17	317
Giulia Ricci	245 1.0×	46 0.4×	10 0.2×	45 1.2×	6 0.3×	13	317
Rodrigo Montefusco‐Siegmund	242 1.0×	24 0.2×	33 0.8×	30 0.8×	22 1.0×	16	313
Cordula Hölig	275 1.2×	147 1.4×	21 0.5×	35 0.9×	12 0.6×	13	314
Matthew Nudds	121 0.5×	153 1.5×	43 1.0×	35 0.9×	29 1.4×	15	211

Countries citing papers authored by Hsin‐I Liao

Since Specialization

Citations

This map shows the geographic impact of Hsin‐I Liao'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 Hsin‐I Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsin‐I Liao more than expected).

Fields of papers citing papers by Hsin‐I Liao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsin‐I Liao. 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 Hsin‐I Liao. The network helps show where Hsin‐I Liao may publish in the future.

Co-authorship network of co-authors of Hsin‐I Liao

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

All Works

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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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