Say Young Kim
- Cognitive Neuroscience top 10%
- Developmental and Educational Psychology top 5%
- Experimental and Cognitive Psychology
- Artificial Intelligence
- Language and Linguistics top 10%
- Co-authors
- Fan CaoLi LiuMin WangTing QiGuosheng DingMarcus TaftXiaoxia FengYanni Liu
- Topics
- Neurobiology of Language and Bilingualism (17 papers)Reading and Literacy Development (15 papers)Second Language Acquisition and Learning (4 papers)
- Cited by
- Developmental and Educational PsychologyCognitive NeuroscienceExperimental and Cognitive Psychology
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Say Young Kim
18 papers receiving 235 citations
Peers
Comparison fields: 5 of 27
- Cognitive Neuroscience 183
- Developmental and Educational Psychology 173
- Experimental and Cognitive Psychology 55
- Artificial Intelligence 29
- Language and Linguistics 26
Countries citing papers authored by Say Young Kim
This map shows the geographic impact of Say Young Kim'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 Say Young Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Say Young Kim more than expected).
Fields of papers citing papers by Say Young Kim
This network shows the impact of papers produced by Say Young Kim. 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 Say Young Kim. The network helps show where Say Young Kim may publish in the future.
Co-authorship network of co-authors of Say Young Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Say Young Kim. A scholar is included among the top collaborators of Say Young Kim 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 Say Young Kim. Say Young Kim 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 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 8 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 10 | |
| 10 | 4 | |
| 11 | 17 | |
| 12 | 33 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 65 | |
| 16 | The Time-course of Cross-language Morphological Activation in Korean-English Bilinguals: Evidence from a Masked Priming Experiment | 5 |
| 17 | 28 | |
| 18 | 28 | |
| 19 | 9 | |
| 20 | 15 |
About Say Young Kim
Say Young Kim is a scholar working on Developmental and Educational Psychology, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 20 papers that have together received 240 indexed citations. Recurring topics across this work include Neurobiology of Language and Bilingualism (17 papers), Reading and Literacy Development (15 papers) and Second Language Acquisition and Learning (4 papers). The work is most often cited by research in Developmental and Educational Psychology (173 citations), Cognitive Neuroscience (183 citations) and Experimental and Cognitive Psychology (55 citations). Say Young Kim has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Fan Cao, Li Liu, Min Wang, Ting Qi, Li Liu, Guosheng Ding, Marcus Taft, Xiaoxia Feng, Yanni Liu and Winston D. Goh. Their work appears in journals such as NeuroImage, Neuropsychologia and Human Brain Mapping.
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.