Wonjun Ko

648 citations
24 papers · 463 · h-index 10

Impact in

Papers in

Wonjun Ko

22 papers receiving 455 citations

Peers

Wonjun Ko
Comparison fields: 5 of 68
  • Cognitive Neuroscience 313
  • Human-Computer Interaction 45
  • Communication 49
  • Experimental and Cognitive Psychology 78
  • Signal Processing 45
Replace Andrea Tocci with:
Andrea Tocci Italy
Stephanie Brandl Denmark
Blair Kaneshiro United States
Michael Thomas Knierim Germany
Tsvetomira Tsoneva Netherlands
Gábor Aranyi United Kingdom
Olivia Kang United States
Duncan Williams United Kingdom
Barbara Millet United States
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Wonjun Ko relative to Andrea Tocci Italy Andrea Tocci's profile →
Citations per field
00.5×10×15×20×24.5×
Andrea Tocci · 1×
Citations per year

Countries citing papers authored by Wonjun Ko

Since Specialization
Citations

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

Fields of papers citing papers by Wonjun Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wonjun Ko. 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 Wonjun Ko. The network helps show where Wonjun Ko may publish in the future.

Co-authors

The 11 scholars most cited alongside Wonjun Ko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wonjun Ko Line = papers co-authored together Wonjun Ko links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200583
2 202179
3 202045
4 202141
5 202241
6 201833
7 201931
8 202124
9 202015
10 201915
11 20229
12 20239
13 20227
14 20247
15 20227
16 20215
17 20224
18 20252
19 20242
20 20212

About Wonjun Ko

Wonjun Ko is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering, Artificial Intelligence, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 24 papers that have together received 463 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (16 papers), Neural dynamics and brain function (9 papers), Advanced Memory and Neural Computing (5 papers), Neuroscience and Neural Engineering (3 papers), Obstructive Sleep Apnea Research (2 papers), Machine Learning in Healthcare (2 papers), Sleep and Work-Related Fatigue (2 papers) and Time Series Analysis and Forecasting (2 papers). The work is most often cited by research in Cognitive Neuroscience (313 citations), Human-Computer Interaction (45 citations), Communication (49 citations), Experimental and Cognitive Psychology (78 citations) and Signal Processing (45 citations). Wonjun Ko has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Heung‐Il Suk, Eunjin Jeon, Kak Yoon, Bruce E. Pinkleton, Jee Seok Yoon, Sa-Kwang Song, Hyun-Seok Kim, Robert T. Knight, Byoung‐Kyong Min and Dimitrios Pantazis. Their work appears in journals such as NeuroImage, IEEE Transactions on Cybernetics, Energy Conversion and Management, Frontiers in Human Neuroscience and IEEE Computational Intelligence Magazine.

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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