Seul-Ki Yeom

23 total papers · 550 total citations
10 papers, 343 citations indexed

About

Seul-Ki Yeom is a scholar working on Cognitive Neuroscience, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Seul-Ki Yeom has authored 10 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Artificial Intelligence. Recurrent topics in Seul-Ki Yeom's work include EEG and Brain-Computer Interfaces (7 papers), Neural dynamics and brain function (4 papers) and Advanced Memory and Neural Computing (2 papers). Seul-Ki Yeom is often cited by papers focused on EEG and Brain-Computer Interfaces (7 papers), Neural dynamics and brain function (4 papers) and Advanced Memory and Neural Computing (2 papers). Seul-Ki Yeom collaborates with scholars based in South Korea, Germany and United States. Seul-Ki Yeom's co-authors include Seong‐Whan Lee, Klaus‐Robert Müller, Heung‐Il Suk, Alexander Binder, Philipp Seegerer, Siamac Fazli, Wojciech Samek, Simon Wiedemann, Sebastian Lapuschkin and Giulio Tononi and has published in prestigious journals such as PLoS ONE, Pattern Recognition and PubMed.

In The Last Decade

Seul-Ki Yeom

10 papers receiving 338 citations

Author Peers

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

Author						Papers	Cites
Seul-Ki Yeom	196	85	82	66	56	10	343
Wenlong Hang	152 0.8×	47 0.6×	129 1.6×	124 1.9×	48 0.9×	25	371
Xue Jiang	209 1.1×	45 0.5×	71 0.9×	26 0.4×	74 1.3×	24	376
Barjinder Kaur	199 1.0×	44 0.5×	83 1.0×	44 0.7×	35 0.6×	15	398
Tsung-Yu Hsieh	121 0.6×	47 0.6×	174 2.1×	31 0.5×	52 0.9×	24	398
Yu Wang	97 0.5×	35 0.4×	137 1.7×	35 0.5×	69 1.2×	18	307
Dinesh Singh	179 0.9×	41 0.5×	32 0.4×	35 0.5×	49 0.9×	21	339
Luis E. Falcón-Morales	101 0.5×	32 0.4×	69 0.8×	83 1.3×	89 1.6×	16	359
Yar Muhammad	221 1.1×	89 1.0×	28 0.3×	29 0.4×	65 1.2×	13	320
Tomasz Maszczyk	221 1.1×	70 0.8×	51 0.6×	17 0.3×	67 1.2×	14	387
Pengpai Wang	202 1.0×	30 0.4×	63 0.8×	41 0.6×	41 0.7×	16	365

Countries citing papers authored by Seul-Ki Yeom

Since Specialization

Citations

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

Fields of papers citing papers by Seul-Ki Yeom

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seul-Ki Yeom. 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 Seul-Ki Yeom. The network helps show where Seul-Ki Yeom may publish in the future.

Co-authorship network of co-authors of Seul-Ki Yeom

This figure shows the co-authorship network connecting the top 25 collaborators of Seul-Ki Yeom. A scholar is included among the top collaborators of Seul-Ki Yeom 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 Seul-Ki Yeom. Seul-Ki Yeom 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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