Joon S. Lim

1.1k total citations
73 papers, 726 citations indexed

About

Joon S. Lim is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Joon S. Lim has authored 73 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 18 papers in Cognitive Neuroscience and 15 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Joon S. Lim's work include EEG and Brain-Computer Interfaces (17 papers), ECG Monitoring and Analysis (14 papers) and Neural Networks and Applications (14 papers). Joon S. Lim is often cited by papers focused on EEG and Brain-Computer Interfaces (17 papers), ECG Monitoring and Analysis (14 papers) and Neural Networks and Applications (14 papers). Joon S. Lim collaborates with scholars based in South Korea, United States and China. Joon S. Lim's co-authors include Sang-Hong Lee, Jaekwon Kim, Youngho Lee, Zhenxing Zhang, Dianhui Wang, Yong Soo Kim, Kyungyong Chung, Zong Woo Geem, Jae-Won Kim and Sung-Yong Son and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Sensors.

In The Last Decade

Joon S. Lim

64 papers receiving 670 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joon S. Lim South Korea 12 264 175 159 138 132 73 726
Sang-Hong Lee South Korea 10 170 0.6× 98 0.6× 91 0.6× 117 0.8× 93 0.7× 60 499
Baha Şen Türkiye 14 366 1.4× 87 0.5× 220 1.4× 233 1.7× 88 0.7× 62 1.0k
Jun Zhuang United States 6 370 1.4× 165 0.9× 93 0.6× 71 0.5× 196 1.5× 18 838
Musa Peker Türkiye 12 409 1.5× 99 0.6× 178 1.1× 274 2.0× 104 0.8× 27 855
S. Thomas George India 17 452 1.7× 143 0.8× 161 1.0× 192 1.4× 79 0.6× 69 907
Vandana Roy India 14 168 0.6× 97 0.6× 126 0.8× 105 0.8× 88 0.7× 47 781
Yalçın İşler Türkiye 16 345 1.3× 355 2.0× 99 0.6× 87 0.6× 156 1.2× 90 915
Juan Guerrero Spain 19 256 1.0× 442 2.5× 120 0.8× 129 0.9× 102 0.8× 63 905
Domenico Labate Italy 9 369 1.4× 174 1.0× 49 0.3× 126 0.9× 118 0.9× 11 673
Brandon Westover United States 14 360 1.4× 63 0.4× 475 3.0× 746 5.4× 84 0.6× 23 1.4k

Countries citing papers authored by Joon S. Lim

Since Specialization
Citations

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

Fields of papers citing papers by Joon S. Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joon S. Lim. 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 Joon S. Lim. The network helps show where Joon S. Lim may publish in the future.

Co-authorship network of co-authors of Joon S. Lim

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

All Works

20 of 20 papers shown
1.
Majeed, Abdul, et al.. (2025). An Optimal Two-Step Approach for Defense Against Poisoning Attacks in Federated Learning. IEEE Access. 13. 60108–60121. 4 indexed citations
2.
Geem, Zong Woo, et al.. (2024). Attention Score Enhancement Model Through Pairwise Image Comparison. Applied Sciences. 14(21). 9928–9928.
3.
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Yoo, Jae Hyun, Joon S. Lim, Chi-Hyun Choi, et al.. (2024). Development of an innovative approach using portable eye tracking to assist ADHD screening: a machine learning study. Frontiers in Psychiatry. 15. 1337595–1337595. 18 indexed citations
6.
Lee, Jung, Kyung Hwa Lee, Soon‐Beom Hong, et al.. (2023). Prediction of Diagnosis and Treatment Response in Adolescents With Depression by Using a Smartphone App and Deep Learning Approaches: Usability Study. JMIR Formative Research. 7. e45991–e45991. 15 indexed citations
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Lim, Joon S., et al.. (2016). Forecasting business cycle with chaotic time series based on neural network with weighted fuzzy membership functions. Chaos Solitons & Fractals. 90. 118–126. 31 indexed citations
9.
Lim, Jongwoo, et al.. (2016). A hierarchical two-phase framework for selecting genes in cancer datasets with a neuro-fuzzy system. Technology and Health Care. 24(s2). S601–S605.
10.
Lim, Joon S., et al.. (2015). Interactive Naive Bayesian network: A new approach of constructing gene-gene interaction network for cancer classification. Bio-Medical Materials and Engineering. 26(1_suppl). S1929–36. 3 indexed citations
11.
Lim, Joon S., et al.. (2015). Fuzzy Naive Bayesian for constructing regulated network with weights. Bio-Medical Materials and Engineering. 26(1_suppl). S1757–62. 3 indexed citations
12.
Lim, Jongwoo, et al.. (2015). Reconstructing time series GRN using a neuro-fuzzy system. Journal of Intelligent & Fuzzy Systems. 29(6). 2751–2757. 3 indexed citations
13.
Lim, Joon S., et al.. (2014). EM algorithm with GMM and Naive Bayesian to Implement Missing Values. 1–5. 6 indexed citations
14.
Lee, Sang-Hong, et al.. (2014). Classification of normal and epileptic seizure EEG signals using wavelet transform, phase-space reconstruction, and Euclidean distance. Computer Methods and Programs in Biomedicine. 116(1). 10–25. 126 indexed citations
15.
Lee, Sang-Hong, et al.. (2013). Gene Selection for Leukemia Classification Based on Bhattacharyya Distance. 한국지능시스템학회 학술발표 논문집. 23(1). 17–18. 2 indexed citations
16.
Lim, Joon S., et al.. (2011). A fatigue detection algorithm by heart rate variability based on a neuro-fuzzy network. 1–6. 3 indexed citations
17.
Lim, Joon S.. (2009). Finding Features for Real-Time Premature Ventricular Contraction Detection Using a Fuzzy Neural Network System. IEEE Transactions on Neural Networks. 20(3). 522–527. 99 indexed citations
18.
Zhang, Zhenxing, Sang-Hong Lee, & Joon S. Lim. (2008). Discrimination of ventricular arrhythmias using NEWFM. 176–183. 3 indexed citations
19.
Lee, Sang H., et al.. (2007). Design and Implement of Ubiquitous Healthcare System Using Portable Hemadynamometer. 한국지능시스템학회 국제학술대회 발표논문집. 652–656. 2 indexed citations
20.
Lee, Sang-Hong & Joon S. Lim. (2007). Forecating S&P 500 in dex by Weighted Average Defuzzification Based on NEWFM. 한국지능시스템학회 국제학술대회 발표논문집. 303–307. 4 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.

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