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Jaechang Lim

Observed names: J.-T. Lim, Jaechang, Lim, Lim, Jaechang
ORCID: 0000-0001-7342-4283
Observed ORCID: 0000-0001-7342-4283
OpenAlex ID: A5011252820
Molecular generative model based on conditional variational autoencoder for de novo molecular design
2018 · Jaechang Lim, Seongok Ryu, et al. · Journal of Cheminformatics · 420
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Predicting Drug–Target Interaction Using a Novel Graph Neural Network with 3D Structure-Embedded Graph Representation
2019 · Jaechang Lim, Seongok Ryu, et al. · Journal of Chemical Information and Modeling · 402
PIGNet: a physics-informed deep learning model toward generalized drug–target interaction predictions
2022 · Seokhyun Moon, Wonho Zhung, et al. · Chemical Science · 193
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Molecular Generative Model Based on an Adversarially Regularized Autoencoder
2019 · Seung Hwan Hong, Seongok Ryu, et al. · Journal of Chemical Information and Modeling · 88
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Deeply learning molecular structure-property relationships using attention- and gate-augmented graph convolutional network
2018 · Ryu, Seongok, Lim, Jaechang, et al. · arXiv (Cornell University) · 75
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PIGNet2: a versatile deep learning-based protein–ligand interaction prediction model for binding affinity scoring and virtual screening
2023 · Seokhyun Moon, Sang-Yeon Hwang, et al. · Digital Discovery · 59
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Drug-likeness scoring based on unsupervised learning
2021 · Kyunghoon Lee, Jinho Jang, et al. · Chemical Science · 52
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Study of Li Adsorption on Graphdiyne Using Hybrid DFT Calculations
2018 · Jaewook Kim, Sungwoo Kang, et al. · ACS Applied Materials & Interfaces · 50
Throughput analysis considering coupling effect in ieee 802.11 networks with hidden stations
2009 · T. Kim, J.-T. Lim · IEEE Communications Letters · 34
Molecular Generative Model via Retrosynthetically Prepared Chemical Building Block Assembly
2023 · Seonghwan Seo, Jaechang Lim, et al. · Advanced Science · 33
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DFRscore: Deep Learning-Based Scoring of Synthetic Complexity with Drug-Focused Retrosynthetic Analysis for High-Throughput Virtual Screening
2023 · Hyeongwoo Kim, Kyunghoon Lee, et al. · Journal of Chemical Information and Modeling · 23
Homochiral Supramolecular Thin Film from Self-Assembly of Achiral Triarylamine Molecules by Circularly Polarized Light
2020 · Changjun Park, Jinhee Lee, et al. · Molecules · 14
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ACE-Molecule: An open-source real-space quantum chemistry package
2020 · Sungwoo Kang, Jeheon Woo, et al. · The Journal of Chemical Physics · 13
Supervisory control of real-time discrete event systems under bounded time constraints
2004 · S.-J. Park, K.-H. Cho, et al. · IEE Proceedings - Control Theory and Applications · 10
Improvement of initial guess via grid‐cutting for efficient grid‐based density functional calculations
2016 · Jaechang Lim, Sunghwan Choi, et al. · International Journal of Quantum Chemistry · 9
Deeply learning molecular structure-property relationships using graph attention neural network.
2018 · Seongok Ryu, Jaechang Lim, et al. · arXiv (Cornell University) · 8
Outstanding performance of configuration interaction singles and doubles using exact exchange Kohn-Sham orbitals in real-space numerical grid method
2016 · Jaechang Lim, Sunghwan Choi, et al. · The Journal of Chemical Physics · 8
Non-empirical atomistic dipole-interaction-model for quantum plasmon simulation of nanoparticles
2017 · Jaechang Lim, Sungwoo Kang, et al. · Scientific Reports · 7
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PIGNet2: A Versatile Deep Learning-based Protein-Ligand Interaction Prediction Model for Binding Affinity Scoring and Virtual Screening
2023 · Moon, Seokhyun, Hwang, Sang-Yeon, et al. · arXiv (Cornell University) · 4
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Kohn–Sham approach for fast hybrid density functional calculations in real-space numerical grid methods
2018 · Jaewook Kim, Sungwoo Kang, et al. · Computer Physics Communications · 4
Hierarchical supervisory control of discrete event systems with model uncertainty
2001 · S.-J. Park, J.-T. Lim · International Journal of Systems Science · 4
Autonomous bioisosteric replacement for multi-property optimization in drug design
2026 · Hyeongwoo Kim, Seokhyun Moon, et al. · Nature Communications · 3
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Scaffold-based molecular design using graph generative model
2019 · Lim, Jaechang, Hwang, Sang-Yeon, et al. · arXiv (Cornell University) · 3
Non-blocking supervision for uncertain discrete event systems with internal unobservable transitions
2005 · S.-J. Park, J.-T. Lim · IEE Proceedings - Control Theory and Applications · 3
Predicting drug-target interaction using 3D structure-embedded graph representations from graph neural networks
2019 · Lim, Jaechang, Ryu, Seongok, et al. · arXiv (Cornell University) · 2
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Works count: 40
Citation count: 1,527
H-index: 13
I10-index: 14
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