Joo‐Hyun Song
- Cognitive Neuroscience top 1%
- Social Psychology top 2%
- Developmental and Educational Psychology top 5%
- Experimental and Cognitive Psychology top 5%
- Control and Systems Engineering top 10%
- Co-authors
- Ken NakayamaYuhong JiangJeff MoherRobert M. McPeekEdward J. HaugTimothy N. WelshHeather F. NeyedliPaul Cisek
- Topics
- Neural and Behavioral Psychology Studies (37 papers)Motor Control and Adaptation (35 papers)Visual perception and processing mechanisms (35 papers)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Joo‐Hyun Song
66 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 153
- Cognitive Neuroscience 1.8k
- Social Psychology 443
- Developmental and Educational Psychology 365
- Experimental and Cognitive Psychology 288
- Control and Systems Engineering 117
Countries citing papers authored by Joo‐Hyun Song
This map shows the geographic impact of Joo‐Hyun Song'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 Joo‐Hyun Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joo‐Hyun Song more than expected).
Fields of papers citing papers by Joo‐Hyun Song
This network shows the impact of papers produced by Joo‐Hyun Song. 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 Joo‐Hyun Song. The network helps show where Joo‐Hyun Song may publish in the future.
Co-authorship network of co-authors of Joo‐Hyun Song
This figure shows the co-authorship network connecting the top 25 collaborators of Joo‐Hyun Song. A scholar is included among the top collaborators of Joo‐Hyun Song 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 Joo‐Hyun Song. Joo‐Hyun Song 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 | 0 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | Action fluency facilitates perceptual discrimination | 0 |
| 7 | 11 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 26 | |
| 11 | 34 | |
| 12 | 9 | |
| 13 | 4 | |
| 14 | 62 | |
| 15 | 431 | |
| 16 | 30 | |
| 17 | 25 | |
| 18 | 105 | |
| 19 | 114 | |
| 20 | 22 |
About Joo‐Hyun Song
Joo‐Hyun Song is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Developmental and Educational Psychology, having authored 77 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (37 papers), Motor Control and Adaptation (35 papers) and Visual perception and processing mechanisms (35 papers). The work is most often cited by research in Cognitive Neuroscience (1.8k citations), General Decision Sciences (73 citations) and Developmental and Educational Psychology (365 citations). Joo‐Hyun Song has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Ken Nakayama, Yuhong Jiang, Jeff Moher, Robert M. McPeek, Edward J. Haug, Timothy N. Welsh, Heather F. Neyedli, Paul Cisek, Craig S. Chapman and Bernhard Hommel. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and NeuroImage.
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.