Donghun Lee, Taehyun Noh, Jimin Go, In-Beom Park*, and Kwanho Kim*, "ElectroTwin: A Digital Twin-Driven Framework for Designing and Scheduling of Electroplating Facilities", International Journal of Precision Engineering and Manufacturing-Green Technology, May. 2026. 

Minjae Jung, Donghun Lee*, Hyondong Oh*, Jung Woo An, Ji Won Woo, and Gyeong Rae Nam, "A hybrid deep reinforcement learning approach for target allocation and routing of multiple nonholonomic vehicles", Engineering Applications of Artificial Intelligence, Vol. 164, Part B, 113308, Jan. 2026.

Donghun Lee*, Jimin Go, Taehyun Noh, and Seokoo Song, "Multi-feature representation-based graph attention networks for predicting potential supply relationships in a large-scale supply chain network", Expert Systems with Applications, Vol. 292, 128593, Nov. 2025.

Donghun Lee, Suhee Kim, Hoonseok Park, Haejoong Kim, Ri Choe, Younkook Kang, Jae-Yoon Jung, and Kwanho Kim*, "An integrated neural network-based traffic congestion prediction for material handling systems of semiconductor manufacturing", IEEE Access, Vol. 13, 121630-121640, Jul. 2025.

Donghun Lee, In-Beom Park, and Kwanho Kim*, "A self-imitation learning approach for scheduling evaporation and encapsulation stages of OLED display manufacturing systems", Robotics and Computer-Integrated Manufacturing, Vol. 93, 102917, Jun. 2025.

Seokwoo Song, Jongeun Kim, Kwanho Kim, Jae-Gon Kim, and Donghun Lee*, "Impact of network structures and deep learning on financial performance in buyer-supplier networks", Journal of Global Information Management, Vol. 33, No. 1, 1-25, Feb. 2025 (SSCI).

Donghun Lee, In-Beom Park*, and Kwanho Kim*, "An incremental learning approach to dynamic parallel machine scheduling with sequence-dependent setups and machine eligibility restrictions", Applied Soft Computing , Vol. 164, 112002, Oct. 2024.

Donghun Lee, Dongjin Lee, and Kwanho Kim*, "Self-growth learning based-machine scheduler to minimize setups and tardiness in OLED display semiconductor manufacturing", Applied Soft Computing, Vol. 145, 110600, Sep. 2023.'

Donghun Lee, Kwanho Kim, and  Sang Hwa Song* "Machine learning-based day-ahead prediction of price-setting scheduled energy in the Korean electricity trading mechanism", IEEE Access, Vol. 11, 58705-58714, Jun. 2023.

Donghun Lee, and Kwanho Kim*, “Business transaction recommendation for discovering potential business partners using deep learning", Expert Systems with Applications, Vol. 201, 117222, Sep. 2022.

Donghun Lee, and Kwanho Kim*, “PV Power Prediction in a Peak Zone Using Recurrent Neural Networks in the Absence of Future Meteorological Information”, Renewable Energy, Vol. 173, 1098-1110, Aug. 2021.