Chankyu Lee

1.4k total citations · 1 hit paper
31 papers, 951 citations indexed

About

Chankyu Lee is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Chankyu Lee has authored 31 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 9 papers in Artificial Intelligence and 8 papers in Cognitive Neuroscience. Recurrent topics in Chankyu Lee's work include Advanced Memory and Neural Computing (11 papers), Neural dynamics and brain function (7 papers) and Neural Networks and Reservoir Computing (6 papers). Chankyu Lee is often cited by papers focused on Advanced Memory and Neural Computing (11 papers), Neural dynamics and brain function (7 papers) and Neural Networks and Reservoir Computing (6 papers). Chankyu Lee collaborates with scholars based in United States, South Korea and Ireland. Chankyu Lee's co-authors include Kaushik Roy, Priyadarshini Panda, Gopalakrishnan Srinivasan, Syed Shakib Sarwar, Amogh Agrawal, Akhilesh Jaiswal, Adarsh Kumar Kosta, Cheng Wang, Raja R. A. Issa and Abhronil Sengupta and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Chankyu Lee

26 papers receiving 924 citations

Hit Papers

Enabling Spike-Based Backpropagation for Training Deep Ne... 2020 2026 2022 2024 2020 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures
    2020 292 citations Chankyu Lee, Syed Shakib Sarwar et al. Frontiers in Neuroscience profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chankyu Lee United States 11 760 364 269 126 60 31 951
Jibin Wu China 18 660 0.9× 523 1.4× 372 1.4× 87 0.7× 51 0.8× 73 1.0k
Ji-Hoon Kim South Korea 16 429 0.6× 59 0.2× 72 0.3× 47 0.4× 62 1.0× 85 752
Shruti Kulkarni United States 11 755 1.0× 242 0.7× 376 1.4× 206 1.6× 38 0.6× 41 954
Kyungmin Kim South Korea 14 670 0.9× 118 0.3× 97 0.4× 276 2.2× 81 1.4× 48 897
Bernard Girau France 9 240 0.3× 128 0.4× 200 0.7× 34 0.3× 68 1.1× 62 448
Janardan Misra India 6 314 0.4× 87 0.2× 293 1.1× 75 0.6× 61 1.0× 26 585
Kyoung-Rok Cho South Korea 16 842 1.1× 151 0.4× 83 0.3× 365 2.9× 132 2.2× 102 1.1k
Wei-Hao Chen Taiwan 19 1.3k 1.7× 58 0.2× 197 0.7× 238 1.9× 82 1.4× 47 1.4k
Hailong Jiao China 16 740 1.0× 45 0.1× 36 0.1× 72 0.6× 21 0.3× 114 902
Zhenhua Zhu China 17 884 1.2× 45 0.1× 275 1.0× 180 1.4× 198 3.3× 63 1.1k

Countries citing papers authored by Chankyu Lee

Since Specialization
Citations

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

Fields of papers citing papers by Chankyu Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chankyu Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Chankyu Lee. A scholar is included among the top collaborators of Chankyu Lee 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 Chankyu Lee. Chankyu Lee 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.
Lovell, Jonathan F., et al.. (2025). Year-Long Antibody Response to the EuCorVac-19 SARS-CoV-2 Vaccine in Healthy Filipinos. Vaccines. 13(8). 776–776.
2.
Catanzaro, Bryan, Chankyu Lee, Zihan Liu, et al.. (2024). ChatQA: Surpassing GPT-4 on Conversational QA and RAG. 15416–15459. 2 indexed citations
3.
Lovell, Jonathan F., Kazutoyo Miura, Chankyu Lee, et al.. (2023). One-year antibody durability induced by EuCorVac-19, a liposome-displayed COVID-19 receptor binding domain subunit vaccine, in healthy Korean subjects. International Journal of Infectious Diseases. 138. 73–80. 13 indexed citations
4.
Lee, Chankyu, et al.. (2023). Rationalization of Free-Form Architecture Using Generative and Parametric Designs. Buildings. 13(5). 1250–1250. 6 indexed citations
5.
6.
Lee, Chankyu, et al.. (2022). Chung-Ang Auditory Database of Korean Emotional Speech: A Validated Set of Vocal Expressions With Different Intensities. IEEE Access. 10. 122745–122761. 1 indexed citations
7.
Wang, Cheng, Chankyu Lee, & Kaushik Roy. (2022). Noise resilient leaky integrate-and-fire neurons based on multi-domain spintronic devices. Scientific Reports. 12(1). 8361–8361. 16 indexed citations
8.
9.
10.
Kim, Soo Kyung, et al.. (2020). Reduction of free polysaccharide contamination in the production of a 15-valent pneumococcal conjugate vaccine. PLoS ONE. 15(12). e0243909–e0243909. 5 indexed citations
11.
Lee, Chankyu, Syed Shakib Sarwar, Priyadarshini Panda, Gopalakrishnan Srinivasan, & Kaushik Roy. (2020). Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures. Frontiers in Neuroscience. 14. 119–119. 292 indexed citations breakdown →
12.
Lee, Chankyu, et al.. (2020). Classification of a Free-Form Surface by Parametric Design and Machine Learning. Construction Research Congress 2020. 777–783. 1 indexed citations
13.
Lee, Chankyu, Syed Shakib Sarwar, & Kaushik Roy. (2019). Enabling Spike-based Backpropagation in State-of-the-art Deep Neural Network Architectures. arXiv (Cornell University). 26 indexed citations
14.
An, Jinsu, Sang Min Lim, Chankyu Lee, et al.. (2019). Metabolic engineering of Escherichia coli to produce a monophosphoryl lipid A adjuvant. Metabolic Engineering. 57. 193–202. 17 indexed citations
15.
Lee, Chankyu, et al.. (2019). Development of a new 15-valent pneumococcal conjugate vaccine (PCV15) and evaluation of its immunogenicity. Biologicals. 61. 32–37. 7 indexed citations
16.
Lee, Chankyu, Priyadarshini Panda, Gopalakrishnan Srinivasan, & Kaushik Roy. (2018). Training Deep Spiking Convolutional Neural Networks With STDP-Based Unsupervised Pre-training Followed by Supervised Fine-Tuning. Frontiers in Neuroscience. 12. 435–435. 133 indexed citations
17.
Lee, Chankyu, et al.. (2014). A System Model for Analyzing and Accumulating Construction Work Crew′s Productivity Data Using Image Processing Technologies. Journal of Asian Architecture and Building Engineering. 13(3). 547–554. 7 indexed citations
18.
Lee, Taeyoung, et al.. (2013). Impact Assessment of Enhanced Longitudinal Safety by Advanced Cruise Control System.
19.
Meng, Ying‐Ying, et al.. (2011). Financial impact of California's new law to increase HIV screening by mandating insurance coverage. AIDS Care. 23(2). 206–212. 3 indexed citations
20.
Lee, Chankyu & Kyongsu Yi. (2002). Modeling and control of an electronic-vacuum booster for vehicle cruise control. KSME International Journal. 16(10). 1314–1319. 2 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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