[1] Menglin Li, Haoran Liu, Mei Yan, et al. Traffic scenario frozen callback and adaptive neuro-fuzzy inference system based energy management strategy for connected fuel cell buses [J]. Applied Energy, 2025, 387: 125605. （中科院一区TOP）
[2] Menglin Li, Xiangqi Wan, Mei Yan, et al. Attentive hybrid reinforcement learning-based eco-driving strategy for connected vehicles with hybrid action spaces and surrounding vehicles attention[J]. Energy Conversion and Management, 2024, 321: 119059. （中科院一区TOP）
[3] Menglin Li, Long Yin, Mei Yan, et al. Hierarchical intelligent energy-saving control strategy for fuel cell hybrid electric buses based on traffic flow predictions[J]. Energy, 2024, 304: 132144. （中科院一区TOP）
[4] Menglin Li, Haoran Liu, Mei Yan, et al. Data-driven bi-level predictive energy management strategy for fuel cell buses with algorithmics fusion[J]. Energy Conversion and Management: X, 2023, 20: 100414. （JCR一区）
[5] Mei Yan, Hongyang Xu, Menglin Li*, et al. Hierarchical predictive energy management strategy for fuel cell buses entering bus stops scenario[J]. Green Energy and Intelligent Transportation, 2023: 100095.（中国科协高起点新刊）
[6] Mei Yan, Guotong Li, Menglin Li*, et al. Hierarchical predictive energy management of fuel cell buses with launch control integrating traffic information[J]. Energy Conversion and Management, 2022, 256: 115397. （中科院一区TOP）
[7] Menglin Li, Haoran Liu, Mei Yan, et al. A novel multi-objective energy management strategy for fuel cell buses quantifying fuel cell degradation as operating cost[J]. Sustainability, 2022, 14(23): 16190. （SCI）
[8] Ruchen Huang, Hongwen He, Xuyang Zhao, Yunlong Wang, Menglin Li. Battery health-aware and naturalistic data-driven energy management for hybrid electric bus based on TD3 deep reinforcement learning algorithm[J]. Applied Energy, 2022, 321: 119353. （中科院一区TOP）
[9] Hongwen He, Ruchen Huang, Xiangfei Meng, Xuyang Zhao, Yong Wang, Menglin Li. A novel hierarchical predictive energy management strategy for plug-in hybrid electric bus combined with deep deterministic policy gradient[J]. Journal of Energy Storage, 2022, 52: 104787.（SCI）
[10] Menglin Li, Mei Yan, Hongwen He, et al. Data-driven predictive energy management and emission optimization for hybrid electric buses considering speed and passengers prediction[J]. Journal of Cleaner Production, 304(2021): 127-139.（中科院一区TOP）
[11] Menglin Li, Hongwen He, Lei Feng, et al. Hierarchical predictive energy management of hybrid electric buses based on driver information[J]. Journal of Cleaner Production, 2020: 122374.（中科院一区TOP）
[12] Mei Yan, Menglin Li, Hongwen He, et al. Rule-based energy management for dual-source electric buses extracted by wavelet transform. Journal of Cleaner Production 189 (2018): 116-127.（中科院一区TOP）
[13] Mei Yan, Hongwen He, Menglin Li, et al. A comprehensive life cycle assessment on dual-source pure electric bus[J]. Journal of Cleaner Production, 2020: 122702.（中科院一区TOP）
[14] Menglin Li, Hongwen He, Mei Yan, et al. Variable horizon MPC for energy management on dual planetary gear hybrid electric vehicle[J]. Energy Procedia, 2018, 152: 636-642.（EI检索）
[15] Mei Yan,Menglin Li, Hongwen He, et al. Deep learning for vehicle speed prediction[J]. Energy Procedia, 2018, 152: 618-623.（EI检索）
[16] Menglin Li, Hongwen He, Jiankun Peng, et al. Predictive Energy Management for Hybrid Electric Vehicle Considering Driver’s Intention[J]. DEStech Transactions on Environment, Energy and Earth Sciences, 2019 (iceee).（国际会议）
[1] Menglin Li, Haoran Liu, Mei Yan, et al. Traffic scenario frozen callback and adaptive neuro-fuzzy inference system based energy management strategy for connected fuel cell buses [J]. Applied Energy, 2025, 387: 125605. （中科院一区TOP）
[2] Menglin Li, Xiangqi Wan, Mei Yan, et al. Attentive hybrid reinforcement learning-based eco-driving strategy for connected vehicles with hybrid action spaces and surrounding vehicles attention[J]. Energy Conversion and Management, 2024, 321: 119059. （中科院一区TOP）
[3] Menglin Li, Long Yin, Mei Yan, et al. Hierarchical intelligent energy-saving control strategy for fuel cell hybrid electric buses based on traffic flow predictions[J]. Energy, 2024, 304: 132144. （中科院一区TOP）
[4] Menglin Li, Haoran Liu, Mei Yan, et al. Data-driven bi-level predictive energy management strategy for fuel cell buses with algorithmics fusion[J]. Energy Conversion and Management: X, 2023, 20: 100414. （JCR一区）
[5] Mei Yan, Hongyang Xu, Menglin Li*, et al. Hierarchical predictive energy management strategy for fuel cell buses entering bus stops scenario[J]. Green Energy and Intelligent Transportation, 2023: 100095.（中国科协高起点新刊）
[6] Mei Yan, Guotong Li, Menglin Li*, et al. Hierarchical predictive energy management of fuel cell buses with launch control integrating traffic information[J]. Energy Conversion and Management, 2022, 256: 115397. （中科院一区TOP）
[7] Menglin Li, Haoran Liu, Mei Yan, et al. A novel multi-objective energy management strategy for fuel cell buses quantifying fuel cell degradation as operating cost[J]. Sustainability, 2022, 14(23): 16190. （SCI）
[8] Ruchen Huang, Hongwen He, Xuyang Zhao, Yunlong Wang, Menglin Li. Battery health-aware and naturalistic data-driven energy management for hybrid electric bus based on TD3 deep reinforcement learning algorithm[J]. Applied Energy, 2022, 321: 119353. （中科院一区TOP）
[9] Hongwen He, Ruchen Huang, Xiangfei Meng, Xuyang Zhao, Yong Wang, Menglin Li. A novel hierarchical predictive energy management strategy for plug-in hybrid electric bus combined with deep deterministic policy gradient[J]. Journal of Energy Storage, 2022, 52: 104787.（SCI）
[10] Menglin Li, Mei Yan, Hongwen He, et al. Data-driven predictive energy management and emission optimization for hybrid electric buses considering speed and passengers prediction[J]. Journal of Cleaner Production, 304(2021): 127-139.（中科院一区TOP）
[11] Menglin Li, Hongwen He, Lei Feng, et al. Hierarchical predictive energy management of hybrid electric buses based on driver information[J]. Journal of Cleaner Production, 2020: 122374.（中科院一区TOP）
[12] Mei Yan, Menglin Li, Hongwen He, et al. Rule-based energy management for dual-source electric buses extracted by wavelet transform. Journal of Cleaner Production 189 (2018): 116-127.（中科院一区TOP）
[13] Mei Yan, Hongwen He, Menglin Li, et al. A comprehensive life cycle assessment on dual-source pure electric bus[J]. Journal of Cleaner Production, 2020: 122702.（中科院一区TOP）
[14] Menglin Li, Hongwen He, Mei Yan, et al. Variable horizon MPC for energy management on dual planetary gear hybrid electric vehicle[J]. Energy Procedia, 2018, 152: 636-642.（EI检索）
[15] Mei Yan,Menglin Li, Hongwen He, et al. Deep learning for vehicle speed prediction[J]. Energy Procedia, 2018, 152: 618-623.（EI检索）
[16] Menglin Li, Hongwen He, Jiankun Peng, et al. Predictive Energy Management for Hybrid Electric Vehicle Considering Driver’s Intention[J]. DEStech Transactions on Environment, Energy and Earth Sciences, 2019 (iceee).（国际会议）
[1] Menglin Li, Haoran Liu, Mei Yan, et al. Traffic scenario frozen callback and adaptive neuro-fuzzy inference system based energy management strategy for connected fuel cell buses [J]. Applied Energy, 2025, 387: 125605. （中科院一区TOP）
[2] Menglin Li, Xiangqi Wan, Mei Yan, et al. Attentive hybrid reinforcement learning-based eco-driving strategy for connected vehicles with hybrid action spaces and surrounding vehicles attention[J]. Energy Conversion and Management, 2024, 321: 119059. （中科院一区TOP）
[3] Menglin Li, Long Yin, Mei Yan, et al. Hierarchical intelligent energy-saving control strategy for fuel cell hybrid electric buses based on traffic flow predictions[J]. Energy, 2024, 304: 132144. （中科院一区TOP）
[4] Menglin Li, Haoran Liu, Mei Yan, et al. Data-driven bi-level predictive energy management strategy for fuel cell buses with algorithmics fusion[J]. Energy Conversion and Management: X, 2023, 20: 100414. （JCR一区）
[5] Mei Yan, Hongyang Xu, Menglin Li*, et al. Hierarchical predictive energy management strategy for fuel cell buses entering bus stops scenario[J]. Green Energy and Intelligent Transportation, 2023: 100095.（中国科协高起点新刊）
[6] Mei Yan, Guotong Li, Menglin Li*, et al. Hierarchical predictive energy management of fuel cell buses with launch control integrating traffic information[J]. Energy Conversion and Management, 2022, 256: 115397. （中科院一区TOP）
[7] Menglin Li, Haoran Liu, Mei Yan, et al. A novel multi-objective energy management strategy for fuel cell buses quantifying fuel cell degradation as operating cost[J]. Sustainability, 2022, 14(23): 16190. （SCI）
[8] Ruchen Huang, Hongwen He, Xuyang Zhao, Yunlong Wang, Menglin Li. Battery health-aware and naturalistic data-driven energy management for hybrid electric bus based on TD3 deep reinforcement learning algorithm[J]. Applied Energy, 2022, 321: 119353. （中科院一区TOP）
[9] Hongwen He, Ruchen Huang, Xiangfei Meng, Xuyang Zhao, Yong Wang, Menglin Li. A novel hierarchical predictive energy management strategy for plug-in hybrid electric bus combined with deep deterministic policy gradient[J]. Journal of Energy Storage, 2022, 52: 104787.（SCI）
[10] Menglin Li, Mei Yan, Hongwen He, et al. Data-driven predictive energy management and emission optimization for hybrid electric buses considering speed and passengers prediction[J]. Journal of Cleaner Production, 304(2021): 127-139.（中科院一区TOP）
[11] Menglin Li, Hongwen He, Lei Feng, et al. Hierarchical predictive energy management of hybrid electric buses based on driver information[J]. Journal of Cleaner Production, 2020: 122374.（中科院一区TOP）
[12] Mei Yan, Menglin Li, Hongwen He, et al. Rule-based energy management for dual-source electric buses extracted by wavelet transform. Journal of Cleaner Production 189 (2018): 116-127.（中科院一区TOP）
[13] Mei Yan, Hongwen He, Menglin Li, et al. A comprehensive life cycle assessment on dual-source pure electric bus[J]. Journal of Cleaner Production, 2020: 122702.（中科院一区TOP）
[14] Menglin Li, Hongwen He, Mei Yan, et al. Variable horizon MPC for energy management on dual planetary gear hybrid electric vehicle[J]. Energy Procedia, 2018, 152: 636-642.（EI检索）
[15] Mei Yan,Menglin Li, Hongwen He, et al. Deep learning for vehicle speed prediction[J]. Energy Procedia, 2018, 152: 618-623.（EI检索）
[16] Menglin Li, Hongwen He, Jiankun Peng, et al. Predictive Energy Management for Hybrid Electric Vehicle Considering Driver’s Intention[J]. DEStech Transactions on Environment, Energy and Earth Sciences, 2019 (iceee).（国际会议）
[1] Menglin Li, Haoran Liu, Mei Yan, et al. Traffic scenario frozen callback and adaptive neuro-fuzzy inference system based energy management strategy for connected fuel cell buses [J]. Applied Energy, 2025, 387: 125605. （中科院一区TOP）
[2] Menglin Li, Xiangqi Wan, Mei Yan, et al. Attentive hybrid reinforcement learning-based eco-driving strategy for connected vehicles with hybrid action spaces and surrounding vehicles attention[J]. Energy Conversion and Management, 2024, 321: 119059. （中科院一区TOP）
[3] Menglin Li, Long Yin, Mei Yan, et al. Hierarchical intelligent energy-saving control strategy for fuel cell hybrid electric buses based on traffic flow predictions[J]. Energy, 2024, 304: 132144. （中科院一区TOP）
[4] Menglin Li, Haoran Liu, Mei Yan, et al. Data-driven bi-level predictive energy management strategy for fuel cell buses with algorithmics fusion[J]. Energy Conversion and Management: X, 2023, 20: 100414. （JCR一区）
[5] Mei Yan, Hongyang Xu, Menglin Li*, et al. Hierarchical predictive energy management strategy for fuel cell buses entering bus stops scenario[J]. Green Energy and Intelligent Transportation, 2023: 100095.（中国科协高起点新刊）
[6] Mei Yan, Guotong Li, Menglin Li*, et al. Hierarchical predictive energy management of fuel cell buses with launch control integrating traffic information[J]. Energy Conversion and Management, 2022, 256: 115397. （中科院一区TOP）
[7] Menglin Li, Haoran Liu, Mei Yan, et al. A novel multi-objective energy management strategy for fuel cell buses quantifying fuel cell degradation as operating cost[J]. Sustainability, 2022, 14(23): 16190. （SCI）
[8] Ruchen Huang, Hongwen He, Xuyang Zhao, Yunlong Wang, Menglin Li. Battery health-aware and naturalistic data-driven energy management for hybrid electric bus based on TD3 deep reinforcement learning algorithm[J]. Applied Energy, 2022, 321: 119353. （中科院一区TOP）
[9] Hongwen He, Ruchen Huang, Xiangfei Meng, Xuyang Zhao, Yong Wang, Menglin Li. A novel hierarchical predictive energy management strategy for plug-in hybrid electric bus combined with deep deterministic policy gradient[J]. Journal of Energy Storage, 2022, 52: 104787.（SCI）
[10] Menglin Li, Mei Yan, Hongwen He, et al. Data-driven predictive energy management and emission optimization for hybrid electric buses considering speed and passengers prediction[J]. Journal of Cleaner Production, 304(2021): 127-139.（中科院一区TOP）
[11] Menglin Li, Hongwen He, Lei Feng, et al. Hierarchical predictive energy management of hybrid electric buses based on driver information[J]. Journal of Cleaner Production, 2020: 122374.（中科院一区TOP）
[12] Mei Yan, Menglin Li, Hongwen He, et al. Rule-based energy management for dual-source electric buses extracted by wavelet transform. Journal of Cleaner Production 189 (2018): 116-127.（中科院一区TOP）
[13] Mei Yan, Hongwen He, Menglin Li, et al. A comprehensive life cycle assessment on dual-source pure electric bus[J]. Journal of Cleaner Production, 2020: 122702.（中科院一区TOP）
[14] Menglin Li, Hongwen He, Mei Yan, et al. Variable horizon MPC for energy management on dual planetary gear hybrid electric vehicle[J]. Energy Procedia, 2018, 152: 636-642.（EI检索）
[15] Mei Yan,Menglin Li, Hongwen He, et al. Deep learning for vehicle speed prediction[J]. Energy Procedia, 2018, 152: 618-623.（EI检索）
[16] Menglin Li, Hongwen He, Jiankun Peng, et al. Predictive Energy Management for Hybrid Electric Vehicle Considering Driver’s Intention[J]. DEStech Transactions on Environment, Energy and Earth Sciences, 2019 (iceee).（国际会议）
[1] Menglin Li, Haoran Liu, Mei Yan, et al. Traffic scenario frozen callback and adaptive neuro-fuzzy inference system based energy management strategy for connected fuel cell buses [J]. Applied Energy, 2025, 387: 125605. （中科院一区TOP）
[2] Menglin Li, Xiangqi Wan, Mei Yan, et al. Attentive hybrid reinforcement learning-based eco-driving strategy for connected vehicles with hybrid action spaces and surrounding vehicles attention[J]. Energy Conversion and Management, 2024, 321: 119059. （中科院一区TOP）
[3] Menglin Li, Long Yin, Mei Yan, et al. Hierarchical intelligent energy-saving control strategy for fuel cell hybrid electric buses based on traffic flow predictions[J]. Energy, 2024, 304: 132144. （中科院一区TOP）
[4] Menglin Li, Haoran Liu, Mei Yan, et al. Data-driven bi-level predictive energy management strategy for fuel cell buses with algorithmics fusion[J]. Energy Conversion and Management: X, 2023, 20: 100414. （JCR一区）
[5] Mei Yan, Hongyang Xu, Menglin Li*, et al. Hierarchical predictive energy management strategy for fuel cell buses entering bus stops scenario[J]. Green Energy and Intelligent Transportation, 2023: 100095.（中国科协高起点新刊）
[6] Mei Yan, Guotong Li, Menglin Li*, et al. Hierarchical predictive energy management of fuel cell buses with launch control integrating traffic information[J]. Energy Conversion and Management, 2022, 256: 115397. （中科院一区TOP）
[7] Menglin Li, Haoran Liu, Mei Yan, et al. A novel multi-objective energy management strategy for fuel cell buses quantifying fuel cell degradation as operating cost[J]. Sustainability, 2022, 14(23): 16190. （SCI）
[8] Ruchen Huang, Hongwen He, Xuyang Zhao, Yunlong Wang, Menglin Li. Battery health-aware and naturalistic data-driven energy management for hybrid electric bus based on TD3 deep reinforcement learning algorithm[J]. Applied Energy, 2022, 321: 119353. （中科院一区TOP）
[9] Hongwen He, Ruchen Huang, Xiangfei Meng, Xuyang Zhao, Yong Wang, Menglin Li. A novel hierarchical predictive energy management strategy for plug-in hybrid electric bus combined with deep deterministic policy gradient[J]. Journal of Energy Storage, 2022, 52: 104787.（SCI）
[10] Menglin Li, Mei Yan, Hongwen He, et al. Data-driven predictive energy management and emission optimization for hybrid electric buses considering speed and passengers prediction[J]. Journal of Cleaner Production, 304(2021): 127-139.（中科院一区TOP）
[11] Menglin Li, Hongwen He, Lei Feng, et al. Hierarchical predictive energy management of hybrid electric buses based on driver information[J]. Journal of Cleaner Production, 2020: 122374.（中科院一区TOP）
[12] Mei Yan, Menglin Li, Hongwen He, et al. Rule-based energy management for dual-source electric buses extracted by wavelet transform. Journal of Cleaner Production 189 (2018): 116-127.（中科院一区TOP）
[13] Mei Yan, Hongwen He, Menglin Li, et al. A comprehensive life cycle assessment on dual-source pure electric bus[J]. Journal of Cleaner Production, 2020: 122702.（中科院一区TOP）
[14] Menglin Li, Hongwen He, Mei Yan, et al. Variable horizon MPC for energy management on dual planetary gear hybrid electric vehicle[J]. Energy Procedia, 2018, 152: 636-642.（EI检索）
[15] Mei Yan,Menglin Li, Hongwen He, et al. Deep learning for vehicle speed prediction[J]. Energy Procedia, 2018, 152: 618-623.（EI检索）
[16] Menglin Li, Hongwen He, Jiankun Peng, et al. Predictive Energy Management for Hybrid Electric Vehicle Considering Driver’s Intention[J]. DEStech Transactions on Environment, Energy and Earth Sciences, 2019 (iceee).（国际会议）
[1] Menglin Li, Haoran Liu, Mei Yan, et al. Traffic scenario frozen callback and adaptive neuro-fuzzy inference system based energy management strategy for connected fuel cell buses [J]. Applied Energy, 2025, 387: 125605. （中科院一区TOP）
[2] Menglin Li, Xiangqi Wan, Mei Yan, et al. Attentive hybrid reinforcement learning-based eco-driving strategy for connected vehicles with hybrid action spaces and surrounding vehicles attention[J]. Energy Conversion and Management, 2024, 321: 119059. （中科院一区TOP）
[3] Menglin Li, Long Yin, Mei Yan, et al. Hierarchical intelligent energy-saving control strategy for fuel cell hybrid electric buses based on traffic flow predictions[J]. Energy, 2024, 304: 132144. （中科院一区TOP）
[4] Menglin Li, Haoran Liu, Mei Yan, et al. Data-driven bi-level predictive energy management strategy for fuel cell buses with algorithmics fusion[J]. Energy Conversion and Management: X, 2023, 20: 100414. （JCR一区）
[5] Mei Yan, Hongyang Xu, Menglin Li*, et al. Hierarchical predictive energy management strategy for fuel cell buses entering bus stops scenario[J]. Green Energy and Intelligent Transportation, 2023: 100095.（中国科协高起点新刊）
[6] Mei Yan, Guotong Li, Menglin Li*, et al. Hierarchical predictive energy management of fuel cell buses with launch control integrating traffic information[J]. Energy Conversion and Management, 2022, 256: 115397. （中科院一区TOP）
[7] Menglin Li, Haoran Liu, Mei Yan, et al. A novel multi-objective energy management strategy for fuel cell buses quantifying fuel cell degradation as operating cost[J]. Sustainability, 2022, 14(23): 16190. （SCI）
[8] Ruchen Huang, Hongwen He, Xuyang Zhao, Yunlong Wang, Menglin Li. Battery health-aware and naturalistic data-driven energy management for hybrid electric bus based on TD3 deep reinforcement learning algorithm[J]. Applied Energy, 2022, 321: 119353. （中科院一区TOP）
[9] Hongwen He, Ruchen Huang, Xiangfei Meng, Xuyang Zhao, Yong Wang, Menglin Li. A novel hierarchical predictive energy management strategy for plug-in hybrid electric bus combined with deep deterministic policy gradient[J]. Journal of Energy Storage, 2022, 52: 104787.（SCI）
[10] Menglin Li, Mei Yan, Hongwen He, et al. Data-driven predictive energy management and emission optimization for hybrid electric buses considering speed and passengers prediction[J]. Journal of Cleaner Production, 304(2021): 127-139.（中科院一区TOP）
[11] Menglin Li, Hongwen He, Lei Feng, et al. Hierarchical predictive energy management of hybrid electric buses based on driver information[J]. Journal of Cleaner Production, 2020: 122374.（中科院一区TOP）
[12] Mei Yan, Menglin Li, Hongwen He, et al. Rule-based energy management for dual-source electric buses extracted by wavelet transform. Journal of Cleaner Production 189 (2018): 116-127.（中科院一区TOP）
[13] Mei Yan, Hongwen He, Menglin Li, et al. A comprehensive life cycle assessment on dual-source pure electric bus[J]. Journal of Cleaner Production, 2020: 122702.（中科院一区TOP）
[14] Menglin Li, Hongwen He, Mei Yan, et al. Variable horizon MPC for energy management on dual planetary gear hybrid electric vehicle[J]. Energy Procedia, 2018, 152: 636-642.（EI检索）
[15] Mei Yan,Menglin Li, Hongwen He, et al. Deep learning for vehicle speed prediction[J]. Energy Procedia, 2018, 152: 618-623.（EI检索）
[16] Menglin Li, Hongwen He, Jiankun Peng, et al. Predictive Energy Management for Hybrid Electric Vehicle Considering Driver’s Intention[J]. DEStech Transactions on Environment, Energy and Earth Sciences, 2019 (iceee).（国际会议）
[1] Menglin Li, Haoran Liu, Mei Yan, et al. Traffic scenario frozen callback and adaptive neuro-fuzzy inference system based energy management strategy for connected fuel cell buses [J]. Applied Energy, 2025, 387: 125605. （中科院一区TOP）
[2] Menglin Li, Xiangqi Wan, Mei Yan, et al. Attentive hybrid reinforcement learning-based eco-driving strategy for connected vehicles with hybrid action spaces and surrounding vehicles attention[J]. Energy Conversion and Management, 2024, 321: 119059. （中科院一区TOP）
[3] Menglin Li, Long Yin, Mei Yan, et al. Hierarchical intelligent energy-saving control strategy for fuel cell hybrid electric buses based on traffic flow predictions[J]. Energy, 2024, 304: 132144. （中科院一区TOP）
[4] Menglin Li, Haoran Liu, Mei Yan, et al. Data-driven bi-level predictive energy management strategy for fuel cell buses with algorithmics fusion[J]. Energy Conversion and Management: X, 2023, 20: 100414. （JCR一区）
[5] Mei Yan, Hongyang Xu, Menglin Li*, et al. Hierarchical predictive energy management strategy for fuel cell buses entering bus stops scenario[J]. Green Energy and Intelligent Transportation, 2023: 100095.（中国科协高起点新刊）
[6] Mei Yan, Guotong Li, Menglin Li*, et al. Hierarchical predictive energy management of fuel cell buses with launch control integrating traffic information[J]. Energy Conversion and Management, 2022, 256: 115397. （中科院一区TOP）
[7] Menglin Li, Haoran Liu, Mei Yan, et al. A novel multi-objective energy management strategy for fuel cell buses quantifying fuel cell degradation as operating cost[J]. Sustainability, 2022, 14(23): 16190. （SCI）
[8] Ruchen Huang, Hongwen He, Xuyang Zhao, Yunlong Wang, Menglin Li. Battery health-aware and naturalistic data-driven energy management for hybrid electric bus based on TD3 deep reinforcement learning algorithm[J]. Applied Energy, 2022, 321: 119353. （中科院一区TOP）
[9] Hongwen He, Ruchen Huang, Xiangfei Meng, Xuyang Zhao, Yong Wang, Menglin Li. A novel hierarchical predictive energy management strategy for plug-in hybrid electric bus combined with deep deterministic policy gradient[J]. Journal of Energy Storage, 2022, 52: 104787.（SCI）
[10] Menglin Li, Mei Yan, Hongwen He, et al. Data-driven predictive energy management and emission optimization for hybrid electric buses considering speed and passengers prediction[J]. Journal of Cleaner Production, 304(2021): 127-139.（中科院一区TOP）
[11] Menglin Li, Hongwen He, Lei Feng, et al. Hierarchical predictive energy management of hybrid electric buses based on driver information[J]. Journal of Cleaner Production, 2020: 122374.（中科院一区TOP）
[12] Mei Yan, Menglin Li, Hongwen He, et al. Rule-based energy management for dual-source electric buses extracted by wavelet transform. Journal of Cleaner Production 189 (2018): 116-127.（中科院一区TOP）
[13] Mei Yan, Hongwen He, Menglin Li, et al. A comprehensive life cycle assessment on dual-source pure electric bus[J]. Journal of Cleaner Production, 2020: 122702.（中科院一区TOP）
[14] Menglin Li, Hongwen He, Mei Yan, et al. Variable horizon MPC for energy management on dual planetary gear hybrid electric vehicle[J]. Energy Procedia, 2018, 152: 636-642.（EI检索）
[15] Mei Yan,Menglin Li, Hongwen He, et al. Deep learning for vehicle speed prediction[J]. Energy Procedia, 2018, 152: 618-623.（EI检索）
[16] Menglin Li, Hongwen He, Jiankun Peng, et al. Predictive Energy Management for Hybrid Electric Vehicle Considering Driver’s Intention[J]. DEStech Transactions on Environment, Energy and Earth Sciences, 2019 (iceee).（国际会议）
