发表高水平论文30余篇，其中一作/通信SCI检索论文10余篇（入选ESI高被引论文1篇、期刊封面文章2篇），主持国自然、国家重点研发子课题、省部级以及企业技术攻关等科研项目7项，获批科研经费500余万；获教育部科学研究优秀成果奖一等奖1项、吉林省科技进步一等奖1项，入选吉林省高层次人才；担任中国汽车工程学会智能网联汽车安全分会委员。 近五年主要论著： 1.Yang H, Chen H, Ma B*, Liang Z, Hu Y. A Learning Energy Management System for Fuel Cell Electric Buses Considering Passenger Flow Prediction and Speed Planning[J]. IEEE Transactions on Intelligent Transportation Systems, 2025.（IF=8.4，通信作者） 2.Liu X, Yang K, Zou B, Zhang X, Bao G, Ma B*. Accurate estimation of state of health for lithium-ion batteries based on Pyraformer and TimeGAN data augmentation[J]. Journal of Power Sources, 2025, 640: 236722.（IF=7.9，通信作者） 3.Ma B, Zhang L, Wang W, et al. Application of deep learning for informatics aided design of electrode materials in metal-ion batteries[J]. Green Energy & Environment, 2024, 9(5): 877-889.（IF=13.3，第一作者） 4.Ma B, Zhang L, Yu H, et al. End-cloud collaboration method enables accurate state of health and remaining useful life online estimation in lithium-ion batteries[J]. Journal of Energy Chemistry, 2023, 82: 1-17.（IF=13.1，第一作者） 5.Ma B, Yu H Q, Wang W T, et al. State of health and remaining useful life prediction for lithium-ion batteries based on differential thermal voltammetry and a long and short memory neural network[J]. Rare Metals, 2023, 42(3): 885-901.（IF=8.8，第一作者） 6.Ma B, Yu H Q, Yang L H, et al. Toward a function realization of multi-scale modeling for lithium-ion battery based on CHAIN framework[J]. Rare Metals, 2023, 42(2): 368-386.（IF=8.8，第一作者） 7.Ma B, Yang S, Zhang L, et al. Remaining useful life and state of health prediction for lithium batteries based on differential thermal voltammetry and a deep-learning model[J]. Journal of Power Sources, 2022, 548: 232030.（IF=9.2，第一作者） 8.Ma B, Yang S, Zuo Z, et al. An authentication and secure communication scheme for in-vehicle networks based on SOME/IP[J]. Sensors, 2022, 22(2): 647.（IF=3.9，第一作者） 9.Zuo Z, Yang S, Ma B*, et al. Design of a CANFD to SOME/IP gateway considering security for in-vehicle networks[J]. Sensors, 2021, 21(23): 7917.（IF=3.9，通信作者） 10.麻斌,杨世春,左政,等.一种CAN总线转车载以太网总线的网关系统设计方法:202111494962[P]. 11.麻斌,胡云峰,宫洵,等.基于多模型融合的锂离子电池荷电和健康状态估计方法:CN202411638598.7[P].
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