| Robust optimization model for closed-loop supply chain planning under reverse logistics flow and demand uncertainty J Kim, B Do Chung, Y Kang, B Jeong Journal of cleaner production 196, 1314-1328, 2018 | 186 | 2018 |
| Zero waste strategy for green supply chain management with minimization of energy consumption MW Iqbal, Y Kang, HW Jeon Journal of Cleaner Production 245, 118827, 2020 | 140 | 2020 |
| Smart logistics: distributed control of green crowdsourced parcel services S Lee, Y Kang, VV Prabhu International Journal of Production Research 54 (23), 6956-6968, 2016 | 88 | 2016 |
| Learning-based logistics planning and scheduling for crowdsourced parcel delivery Y Kang, S Lee, B Do Chung Computers & industrial engineering 132, 271-279, 2019 | 45 | 2019 |
| Waste-to-energy supply chain management with energy feasibility condition MW Iqbal, Y Kang Journal of Cleaner Production 291, 125231, 2021 | 41 | 2021 |
| Intelligent charging and discharging of electric vehicles in a vehicle-to-grid system using a reinforcement learning-based approach J Maeng, D Min, Y Kang Sustainable Energy, Grids and Networks 36, 101224, 2023 | 23 | 2023 |
| Circular economy of food: A secondary supply chain model on food waste management incorporating IoT based technology MW Iqbal, Y Kang Journal of Cleaner Production 435, 140566, 2024 | 21 | 2024 |
| Detection of delirium in community-dwelling persons with dementia MR Steis, VV Prabhu, A Kolanowski, Y Kang, KH Bowles, D Fick, L Evans Online Journal of Nursing Informatics 16 (1), 1274, 2012 | 21 | 2012 |
| Computer-aided environmental design system for the energy-using product (EuP) directive YC Kang, DM Chun, Y Jun, SH Ahn International Journal of Precision Engineering and Manufacturing 11, 397-406, 2010 | 20 | 2010 |
| Modelling adherence behaviour for the treatment of obstructive sleep apnoea Y Kang, AM Sawyer, PM Griffin, VV Prabhu European journal of operational research 249 (3), 1005-1013, 2016 | 15 | 2016 |
| Automated cryptocurrency trading approach using ensemble deep reinforcement learning: Learn to understand candlesticks L Jing, Y Kang Expert Systems with Applications 237, 121373, 2024 | 14 | 2024 |
| Power demand risk models on milling machines HW Jeon, S Lee, A Kargarian, Y Kang Journal of Cleaner Production 165, 1215-1228, 2017 | 10 | 2017 |
| A learning-based approach for dynamic freight brokerages with transfer and territory-based assignment D Min, Y Kang Computers & Industrial Engineering 153, 107042, 2021 | 8 | 2021 |
| Continuous variable control approach for home care crew scheduling S Lee, Y Kang, VV Prabhu 2013 Winter Simulations Conference (WSC), 2262-2273, 2013 | 8 | 2013 |
| Markov models for treatment adherence in obstructive sleep apnea Y Kang, VV Prabhu, AM Sawyer, PM Griffin IIE Annual Conference. Proceedings, 1592, 2013 | 8 | 2013 |
| Measuring agreement between healthcare survey instruments using mutual information Y Kang, MR Steis, AM Kolanowski, D Fick, VV Prabhu BMC medical informatics and decision making 16, 1-11, 2016 | 7 | 2016 |
| An order control policy in crowdsourced parcel pickup and delivery service Y Kang Advances in Production Management Systems. Smart Manufacturing for Industry …, 2018 | 5 | 2018 |
| Predictive analytics for delivering prevention services S Lee, Y Kang, NS Ialongo, VV Prabhu Expert Systems with Applications 55, 469-479, 2016 | 5 | 2016 |
| Data mining for characterizing obstructive sleep apnea treatment adherence trends Y Kang, VV Prabhu IIE Annual Conference. Proceedings, 1600, 2013 | 4 | 2013 |
| A deep learning-based approach to a newsvendor problem considering uncertainty and time-varying costs N Thoummala, Y Kang, D Min Optimization Letters 18 (9), 1963-1974, 2024 | 2 | 2024 |
