Han‐Gyol Yi

884 total citations
20 papers, 617 citations indexed

About

Han‐Gyol Yi is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Developmental and Educational Psychology. According to data from OpenAlex, Han‐Gyol Yi has authored 20 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 7 papers in Experimental and Cognitive Psychology and 7 papers in Developmental and Educational Psychology. Recurrent topics in Han‐Gyol Yi's work include Neuroscience and Music Perception (12 papers), Hearing Loss and Rehabilitation (9 papers) and Reading and Literacy Development (5 papers). Han‐Gyol Yi is often cited by papers focused on Neuroscience and Music Perception (12 papers), Hearing Loss and Rehabilitation (9 papers) and Reading and Literacy Development (5 papers). Han‐Gyol Yi collaborates with scholars based in United States, Russia and Canada. Han‐Gyol Yi's co-authors include Bharath Chandrasekaran, Nina Kraus, Samira Anderson, W. Todd Maddox, Alexandra Parbery‐Clark, Rajka Smiljanić, Jeanette A. Mumford, Zilong Xie, Erika Skoe and Jane Hornickel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Han‐Gyol Yi

19 papers receiving 604 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Han‐Gyol Yi United States	12	473	207	159	97	94	20	617
Ediz Sohoglu United Kingdom	12	751 1.6×	305 1.5×	114 0.7×	56 0.6×	63 0.7×	19	835
Julien Rouger France	9	468 1.0×	372 1.8×	59 0.4×	52 0.5×	64 0.7×	9	591
Riki Taitelbaum‐Swead Israel	13	412 0.9×	143 0.7×	150 0.9×	116 1.2×	204 2.2×	36	539
Joyce McDonough United States	11	265 0.6×	189 0.9×	144 0.9×	23 0.2×	52 0.6×	27	439
Sung-Joo Lim United States	10	346 0.7×	162 0.8×	111 0.7×	14 0.1×	13 0.1×	15	454
Benjamin Parrell United States	13	287 0.6×	336 1.6×	103 0.6×	6 0.1×	20 0.2×	47	563
Gregory Hickok United States	4	783 1.7×	372 1.8×	307 1.9×	9 0.1×	14 0.1×	5	906
Léo Varnet France	13	353 0.7×	72 0.3×	38 0.2×	112 1.2×	70 0.7×	30	419
Stephanie L. Cute United States	7	558 1.2×	133 0.6×	54 0.3×	220 2.3×	202 2.1×	7	624
Benoı̂t Jutras Canada	12	502 1.1×	171 0.8×	63 0.4×	89 0.9×	134 1.4×	31	557

Countries citing papers authored by Han‐Gyol Yi

Since Specialization

Citations

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

Fields of papers citing papers by Han‐Gyol Yi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Han‐Gyol Yi. 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 Han‐Gyol Yi. The network helps show where Han‐Gyol Yi may publish in the future.

Co-authorship network of co-authors of Han‐Gyol Yi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kabotyanski, Katherine E., Han‐Gyol Yi, Brian Robinson, et al.. (2025). 1161 Identifying Ethologically Relevant Neurobehavioral Biomarkers of Emotional State. Neurosurgery. 71(Supplement_1). 183–184.

Yi, Han‐Gyol, Bharath Chandrasekaran, Kirill V. Nourski, et al.. (2021). Learning nonnative speech sounds changes local encoding in the adult human cortex. Proceedings of the National Academy of Sciences. 118(36). 8 indexed citations

Llanos, Fernando, et al.. (2020). Non-invasive peripheral nerve stimulation selectively enhances speech category learning in adults. npj Science of Learning. 5(1). 12–12. 37 indexed citations

Yi, Han‐Gyol, Zilong Xie, Rachel Reetzke, Alexandros G. Dimakis, & Bharath Chandrasekaran. (2017). Vowel decoding from single‐trial speech‐evoked electrophysiological responses: A feature‐based machine learning approach. Brain and Behavior. 7(6). e00665–e00665. 26 indexed citations

Chandrasekaran, Bharath, et al.. (2016). Experience-dependent plasticity in the neural weighting of pitch dimensions: A machine learning approach. The Journal of the Acoustical Society of America. 139(4_Supplement). 2014–2014. 1 indexed citations

Chandrasekaran, Bharath, et al.. (2015). Effect of explicit dimensional instruction on speech category learning. Attention Perception & Psychophysics. 78(2). 566–582. 24 indexed citations

Maddox, W. Todd, et al.. (2015). Performance pressure enhances speech learning. Applied Psycholinguistics. 37(6). 1369–1396. 8 indexed citations

Chandrasekaran, Bharath, Han‐Gyol Yi, Nathaniel J. Blanco, John E. McGeary, & W. Todd Maddox. (2015). Enhanced Procedural Learning of Speech Sound Categories in a Genetic Variant ofFOXP2. Journal of Neuroscience. 35(20). 7808–7812. 26 indexed citations

Xie, Zilong, Han‐Gyol Yi, & Bharath Chandrasekaran. (2014). Nonnative Audiovisual Speech Perception in Noise: Dissociable Effects of the Speaker and Listener. PLoS ONE. 9(12). e114439–e114439. 11 indexed citations

10.

Maddox, W. Todd, et al.. (2014). Elevated depressive symptoms enhance reflexive but not reflective auditory category learning. Cortex. 58. 186–198. 20 indexed citations

11.

Yi, Han‐Gyol, W. Todd Maddox, Jeanette A. Mumford, & Bharath Chandrasekaran. (2014). The Role of Corticostriatal Systems in Speech Category Learning. Cerebral Cortex. 26(4). 1409–1420. 49 indexed citations

12.

Maddox, W. Todd, et al.. (2013). Dual systems of speech category learning across the lifespan.. Psychology and Aging. 28(4). 1042–1056. 36 indexed citations

13.

Chandrasekaran, Bharath, Han‐Gyol Yi, & W. Todd Maddox. (2013). Dual-learning systems during speech category learning. Psychonomic Bulletin & Review. 21(2). 488–495. 64 indexed citations

14.

Yi, Han‐Gyol, et al.. (2013). Reduced efficiency of audiovisual integration for nonnative speech. The Journal of the Acoustical Society of America. 134(5). EL387–EL393. 54 indexed citations

15.

You, Shucheng, et al.. (2011). EVALUATION OF THE DAMAGE OF FOREST BY WIND USING TM DATA. Guotu ziyuan yaogan. 1(1). 1 indexed citations

16.

Hornickel, Jane, Samira Anderson, Erika Skoe, Han‐Gyol Yi, & Nina Kraus. (2011). Subcortical representation of speech fine structure relates to reading ability. Neuroreport. 23(1). 6–9. 41 indexed citations

17.

Anderson, Samira, Alexandra Parbery‐Clark, Han‐Gyol Yi, & Nina Kraus. (2011). A Neural Basis of Speech-in-Noise Perception in Older Adults. Ear and Hearing. 32(6). 750–757. 167 indexed citations

18.

Anderson, Samira, Bharath Chandrasekaran, Han‐Gyol Yi, & Nina Kraus. (2010). Cortical‐evoked potentials reflect speech‐in‐noise perception in children. European Journal of Neuroscience. 32(8). 1407–1413. 42 indexed citations

19.

Anderson, Samira, Bharath Chandrasekaran, Han‐Gyol Yi, & Nina Kraus. (2010). Cortical-evoked potentials reflect speech-in-noise perception in children. European Journal of Neuroscience. no–no. 1 indexed citations

20.

Yi, Han‐Gyol. (2009). THE METHOD OF CBERS-02B DATA TO LAND USE DYNAMIC CHANGE MONITORING. 1 indexed citations

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.

Explore authors with similar magnitude of impact