[13] Zhicheng Cai, Qin Yang, Jian Hou, Jun-Hyun Kim, Hyun-Ho Park, Xiaoxiao Liu, “MOF-derived porous NiO-Fe₂O₃ heterostructures with machine-learning-assisted signal discrimination for ppb-level H₂S detection and breath analysis”, Chemical Engineering Journal, Vol. 548, 181890, 2026.11. [JCR 6.8%, IF 12.5]
[12] Zhicheng Cai, Muhammad Hilal, Hyojung Kim, Xiaoxiao Liu, Kyo-Sang Choi, Sung-Pil Chang, Qin Yang, “Porous ZnO/co₃O₄ nanofibers for low-temperature ppb-level acetone sensing and machine learning-assisted VOC discrimination”, Chemical Engineering Journal, Vol. 545, 179912, 2026.10. [JCR 6.8%, IF 12.5]
[11] Qin Yang, Sang-Jo Yoo, “Adaptive UAV-aided fair task offloading with fuzzy caching for vehicular edge computing via hierarchical deep reinforcement learning”, IEEE Transactions on Vehicular Technology, Vol. 75, No. 6, pp. 11558 - 11574, 2026.6. [JCR 11.0%, IF 7.5]
[10] Keum-Seong Nam, Qin Yang, Sang-Jo Yoo, "Joint Optimization of Vehicle and Pedestrian Traffic Signals Using Multi-Objective Deep Reinforcement Learning," IEEE Transactions on Intelligent Transportation Systems, Vol. 27. No. 1, pp. 501-520, 2026.1 [JCR 3.9%, IF 9.1]
[9] Kyoungjin Kim*, Qin Yang*, Sang-Jo Yoo, "User Preference-Aware Deep Reinforcement Learning for Multi-Objective Optimal EV Charging Control", IEEE ACCESS, Vol. 13, pp. 218025 - 218043, 2025.12 (* equal contribution), [JCR 35%, IF 3.6]
[8] Chae-Won Park*, Ji-Hye Lim*, Seung-Jun Lee*, Keum-Seong Nam, Qin Yang, Sang-Jo Yoo,” UAV-Based Vehicle Detection and Tracking in Urban Environments Using Multi-Task CNN and Deep Reinforcement Learning," ICT Express, Vol. 11, No. 6, pp. 1173-1180, 2025.12 (* equal contribution) [JCR 28.1%, IF 4.2]
[7] Qin Yang, Sang-Jo Yoo, "Optimizing Intersection Navigation with Multi-Shot Update Mechanism: A Real-Time Distributed Reinforcement Learning for Ground and Aerial Moving Objects”, IEEE Internet of Things Journal, Vol. 12, No. 19, pp.40650-40665, 2025.9 [JCR 4.1%, IF 8.9]
[6] Qin Yang, Sang-Jo Yoo, "Multi-Objective Task Offloading Optimization Using Deep Reinforcement Learning with Resource Distribution Clustering ," ICT Express, vol. 11, pp. 734-742, 2025.8 [JCR 28.1%, IF 4.2]
[5] Qin Yang, Sang-Jo Yoo, "Hierarchical Reinforcement Learning-based Routing Algorithm with Grouped RSU in Urban VANETs", IEEE Transactions on Intelligent Transportation Systems, Vol. 25, No. 8, pp. 10131-10146 , 2024.8 [JCR 2.5%, IF 8.4]]
[4] Joo-Hyung Park*, Qin Yang*, Sang-Jo Yoo, "RHRA-DRL: RSU-Assisted Hybrid Road-Aware Routing Using Distributed Reinforcement Learning in Internet of Vehicles", IEEE ACCESS, Vol 12, , pp. 25385-25396, 2024.2 (* equal contribution) [JCR 34.4%, IF 3.4]
[3] Qin Yang, Sung-Jeen Jang, Sang-Jo Yoo, “Q-learning-based Fuzzy Logic for Multi-objective Routing Algorithm in Flying Ad Hoc Networks”, Wireless Personal Communications, vol.113, no.1, pp. 115-138, 2020.1
[2] Qin Yang and Sang-Jo Yoo, “Optimal UAV Path Planning: Sensing Data Acquisition Over IoT Sensor Networks Using Multi-Objective Bio-inspired Algorithms”, IEEE ACCESS, Vol. 6, pp. 13671-13684, 2018.3.12.
[1] Wen Jinyi, Qin Yang and Sang-Jo Yoo, “Optimization of Cognitive Radio Secondary Information Gathering Station Positioning and Operating Channel Selection for IoT Sensor Networks”, Mobile Information Systems, vol. 2018, pp. 1-12 (2018.4.19)
[3] Qin Yang, Sang-Jo Yoo, " Grouped Intersection-based Routing using Reinforcement Learning for Urban VANETs ", The 13th International Conference on ICT Convergence (ICTC2022), 2022.10.
[2] Aliia Beishenalieva, Qin Yang, Sang-Jo Yoo, " Substate-based UAV Movement Control for Data Collection in WSN Using Q-Learning", The 13th International Conference on ICT Convergence (ICTC2022), 2022.10.
[1] Wen Jiny, Qin Yang, Anish Prasad Shrestha, Sang-Jo Yoo, “Optimization of Cognitive Radio Secondary Base Station Positioning and Operating Channel Selection for IoT Sensor Networks”, ICTC2017, pp.398-400, 2017.10.18
[1] Qin Yang, Sang-Jo Yoo, “무선 애드혹 네트워크에서 강화 학습을 이용한 동적 라우팅 경로 선택 알고리즘”, 한국통신학회논문지 vol. 43, no.7, pp. 1227-1235, 2018.7