[1] Zhang Tianci, Zhou Zhibin, Yan Changchang, et al. Digital twin-driven excavation trajectory planning of unmanned excavator based on multidisciplinary co-simulation[J]. Automation in Construction, 2025, 178: 106404. (工程机械顶刊，中科院1区SCI，影响因子: 11.5)
[2] Zhang Tianci, Fu Tao, Ni Tao, et al. Data-driven excavation trajectory planning for unmanned mining excavator[J]. Automation in Construction, 2024, 162: 105395. (中科院1区SCI，影响因子: 11.5)
[3] Zhang Tianci, Fu Tao, Song Xueguan, et al. Multi-objective excavation trajectory optimization for unmanned electric shovels based on pseudospectral method[J]. Automation in Construction, 2022, 136: 104176. (中科院1区SCI，影响因子: 11.5)
[4] Zhang Tianci, Fu Tao, Song Xueguan, et al. Toward autonomous mining: design and development of an unmanned electric shovel via point cloud-based optimal trajectory planning[J]. Frontiers of Mechanical Engineering, 2022, 17(3): 1-17. (SCI/EI检索，中科院2区，影响因子: 4.7)
[5] Zhang Tianci, Fu Tao, Song Xueguan. Design of Unmanned Cable Shovel Based on Multiobjective Co-Design Optimization of Structural and Control Parameters[J]. Journal of Mechanical Designs (ASME Transactions), 2022, 144(9): 091708. (SCI检索，影响因子: 3.441)
[6] Zhang Tianci, Zhou Zhibin, Wang Zihe, et al. Chaotic gait suppression of biped robot via neural network-based adaptive predictive feedback control[J]. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2025, 47(9): 1-16. (SCI检索)
[7] Fu Tao, Zhang Tianci, Lv Yilin, et al. Digital twin-based excavation trajectory generation of uncrewed excavators for autonomous mining[J]. Automation in Construction, 2023, 151: 104855. (工程机械顶刊，中科院1区SCI，影响因子: 11.5)
[8] Song Xueguan, Zhang Tianci, Yuan Yongliang, et al. Multidisciplinary co-design optimization of the structure and control systems for large cable shovel considering cross-disciplinary interaction[J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2020, 234(22): 4353-4365. (SCI/EI检索，影响因子: 1.9)
[9] 宋学官, 张天赐, 付涛, 郭东明. 智重装备的结构与控制多学科一体化优化设计方法[J]. 机械工程学报, 2022, 58(17): 26-40. (EI源刊)
[10] 张志文, 刘伯威, 张继园, 唐杰, 张天赐*. 麻雀搜索算法-粒子群算法与快速扩展随机树算法协同优化的智能车辆路径规划[J].中国机械工程, 2024, 35(06):993-999+1009. (EI源刊)
[11] Shi Maolin, Zhang Tianci, Zhang Liyong, et al. A fuzzy c-means algorithm based on the relationship among attributes of data and its application in tunnel boring machine[J]. Knowledge-Based Systems, 2020, 191: 105229. (SCI/EI检索，影响因子: 8.139)
[12] Fu Tao, Zhang Tianci, Cui Yunhao, et al. Novel Hybrid Physics-Informed Deep Neural Network for Dynamic Load Prediction of Electric Cable Shovel[J]. Chinese Journal of Mechanical Engineering, 2022, 35(1): 1-14. (SCI/EI检索，影响因子: 2.964)
[13] Fu Tao, Zhang Tianci, Song Xueguan. A Novel Hybrid Transfer Learning Framework for Dynamic Cutterhead Torque Prediction of the Tunnel Boring Machine[J]. Energies, 2022, 15(8): 2907. (SCI/EI检索，影响因子: 3.252)
[14] Fan Zhonglei, Zhang Tianci, Qiao Jianqiang, et al. Multi-objective Excavation Trajectory Optimization for Intelligent Electric Shovel Based on ROS[C]//IOP Conference Series: Materials Science and Engineering. IOP Publishing, 2020, 717(1): 012015. (EI检索)
[15] Liu Yin, Zhang Tianci, Gao Yuqiong, et al. A MATLAB GUI Toolbox for Surrogate-Based Design and Optimization[C]//2019 IEEE 9th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2019: 103-106. (EI检索)
[16] 黎柿汪,张天赐,付涛等.基于堆料面预测模型的电铲三维挖掘轨迹规划[J].大连理工大学学报,2022,62(06):582-591. (中文核心)
[17] 李光,付涛,张天赐* 基于PCL库的矿场环境点云配准方法研究[J]. 机械设计, 2021, 38 (S1) 174-177. (中文核心)
[18] 吴晓光, 张天赐*, 韦磊. 一种基于神经网络的双足机器人混合动力学系统辨识方法[J]. 中国机械工程, 2018, 029(014):1674-1681. (EI源刊)
*代表通讯作者
[1] Zhang Tianci, Zhou Zhibin, Yan Changchang, et al. Digital twin-driven excavation trajectory planning of unmanned excavator based on multidisciplinary co-simulation[J]. Automation in Construction, 2025, 178: 106404. (工程机械顶刊，中科院1区SCI，影响因子: 11.5)
[2] Zhang Tianci, Fu Tao, Ni Tao, et al. Data-driven excavation trajectory planning for unmanned mining excavator[J]. Automation in Construction, 2024, 162: 105395. (中科院1区SCI，影响因子: 11.5)
[3] Zhang Tianci, Fu Tao, Song Xueguan, et al. Multi-objective excavation trajectory optimization for unmanned electric shovels based on pseudospectral method[J]. Automation in Construction, 2022, 136: 104176. (中科院1区SCI，影响因子: 11.5)
[4] Zhang Tianci, Fu Tao, Song Xueguan, et al. Toward autonomous mining: design and development of an unmanned electric shovel via point cloud-based optimal trajectory planning[J]. Frontiers of Mechanical Engineering, 2022, 17(3): 1-17. (SCI/EI检索，中科院2区，影响因子: 4.7)
[5] Zhang Tianci, Fu Tao, Song Xueguan. Design of Unmanned Cable Shovel Based on Multiobjective Co-Design Optimization of Structural and Control Parameters[J]. Journal of Mechanical Designs (ASME Transactions), 2022, 144(9): 091708. (SCI检索，影响因子: 3.441)
[6] Zhang Tianci, Zhou Zhibin, Wang Zihe, et al. Chaotic gait suppression of biped robot via neural network-based adaptive predictive feedback control[J]. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2025, 47(9): 1-16. (SCI检索)
[7] Fu Tao, Zhang Tianci, Lv Yilin, et al. Digital twin-based excavation trajectory generation of uncrewed excavators for autonomous mining[J]. Automation in Construction, 2023, 151: 104855. (工程机械顶刊，中科院1区SCI，影响因子: 11.5)
[8] Song Xueguan, Zhang Tianci, Yuan Yongliang, et al. Multidisciplinary co-design optimization of the structure and control systems for large cable shovel considering cross-disciplinary interaction[J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2020, 234(22): 4353-4365. (SCI/EI检索，影响因子: 1.9)
[9] 宋学官, 张天赐, 付涛, 郭东明. 智重装备的结构与控制多学科一体化优化设计方法[J]. 机械工程学报, 2022, 58(17): 26-40. (EI源刊)
[10] 张志文, 刘伯威, 张继园, 唐杰, 张天赐*. 麻雀搜索算法-粒子群算法与快速扩展随机树算法协同优化的智能车辆路径规划[J].中国机械工程, 2024, 35(06):993-999+1009. (EI源刊)
[11] Shi Maolin, Zhang Tianci, Zhang Liyong, et al. A fuzzy c-means algorithm based on the relationship among attributes of data and its application in tunnel boring machine[J]. Knowledge-Based Systems, 2020, 191: 105229. (SCI/EI检索，影响因子: 8.139)
[12] Fu Tao, Zhang Tianci, Cui Yunhao, et al. Novel Hybrid Physics-Informed Deep Neural Network for Dynamic Load Prediction of Electric Cable Shovel[J]. Chinese Journal of Mechanical Engineering, 2022, 35(1): 1-14. (SCI/EI检索，影响因子: 2.964)
[13] Fu Tao, Zhang Tianci, Song Xueguan. A Novel Hybrid Transfer Learning Framework for Dynamic Cutterhead Torque Prediction of the Tunnel Boring Machine[J]. Energies, 2022, 15(8): 2907. (SCI/EI检索，影响因子: 3.252)
[14] Fan Zhonglei, Zhang Tianci, Qiao Jianqiang, et al. Multi-objective Excavation Trajectory Optimization for Intelligent Electric Shovel Based on ROS[C]//IOP Conference Series: Materials Science and Engineering. IOP Publishing, 2020, 717(1): 012015. (EI检索)
[15] Liu Yin, Zhang Tianci, Gao Yuqiong, et al. A MATLAB GUI Toolbox for Surrogate-Based Design and Optimization[C]//2019 IEEE 9th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2019: 103-106. (EI检索)
[16] 黎柿汪,张天赐,付涛等.基于堆料面预测模型的电铲三维挖掘轨迹规划[J].大连理工大学学报,2022,62(06):582-591. (中文核心)
[17] 李光,付涛,张天赐* 基于PCL库的矿场环境点云配准方法研究[J]. 机械设计, 2021, 38 (S1) 174-177. (中文核心)
[18] 吴晓光, 张天赐*, 韦磊. 一种基于神经网络的双足机器人混合动力学系统辨识方法[J]. 中国机械工程, 2018, 029(014):1674-1681. (EI源刊)
*代表通讯作者
[1] Zhang Tianci, Zhou Zhibin, Yan Changchang, et al. Digital twin-driven excavation trajectory planning of unmanned excavator based on multidisciplinary co-simulation[J]. Automation in Construction, 2025, 178: 106404. (工程机械顶刊，中科院1区SCI，影响因子: 11.5)
[2] Zhang Tianci, Fu Tao, Ni Tao, et al. Data-driven excavation trajectory planning for unmanned mining excavator[J]. Automation in Construction, 2024, 162: 105395. (中科院1区SCI，影响因子: 11.5)
[3] Zhang Tianci, Fu Tao, Song Xueguan, et al. Multi-objective excavation trajectory optimization for unmanned electric shovels based on pseudospectral method[J]. Automation in Construction, 2022, 136: 104176. (中科院1区SCI，影响因子: 11.5)
[4] Zhang Tianci, Fu Tao, Song Xueguan, et al. Toward autonomous mining: design and development of an unmanned electric shovel via point cloud-based optimal trajectory planning[J]. Frontiers of Mechanical Engineering, 2022, 17(3): 1-17. (SCI/EI检索，中科院2区，影响因子: 4.7)
[5] Zhang Tianci, Fu Tao, Song Xueguan. Design of Unmanned Cable Shovel Based on Multiobjective Co-Design Optimization of Structural and Control Parameters[J]. Journal of Mechanical Designs (ASME Transactions), 2022, 144(9): 091708. (SCI检索，影响因子: 3.441)
[6] Zhang Tianci, Zhou Zhibin, Wang Zihe, et al. Chaotic gait suppression of biped robot via neural network-based adaptive predictive feedback control[J]. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2025, 47(9): 1-16. (SCI检索)
[7] Fu Tao, Zhang Tianci, Lv Yilin, et al. Digital twin-based excavation trajectory generation of uncrewed excavators for autonomous mining[J]. Automation in Construction, 2023, 151: 104855. (工程机械顶刊，中科院1区SCI，影响因子: 11.5)
[8] Song Xueguan, Zhang Tianci, Yuan Yongliang, et al. Multidisciplinary co-design optimization of the structure and control systems for large cable shovel considering cross-disciplinary interaction[J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2020, 234(22): 4353-4365. (SCI/EI检索，影响因子: 1.9)
[9] 宋学官, 张天赐, 付涛, 郭东明. 智重装备的结构与控制多学科一体化优化设计方法[J]. 机械工程学报, 2022, 58(17): 26-40. (EI源刊)
[10] 张志文, 刘伯威, 张继园, 唐杰, 张天赐*. 麻雀搜索算法-粒子群算法与快速扩展随机树算法协同优化的智能车辆路径规划[J].中国机械工程, 2024, 35(06):993-999+1009. (EI源刊)
[11] Shi Maolin, Zhang Tianci, Zhang Liyong, et al. A fuzzy c-means algorithm based on the relationship among attributes of data and its application in tunnel boring machine[J]. Knowledge-Based Systems, 2020, 191: 105229. (SCI/EI检索，影响因子: 8.139)
[12] Fu Tao, Zhang Tianci, Cui Yunhao, et al. Novel Hybrid Physics-Informed Deep Neural Network for Dynamic Load Prediction of Electric Cable Shovel[J]. Chinese Journal of Mechanical Engineering, 2022, 35(1): 1-14. (SCI/EI检索，影响因子: 2.964)
[13] Fu Tao, Zhang Tianci, Song Xueguan. A Novel Hybrid Transfer Learning Framework for Dynamic Cutterhead Torque Prediction of the Tunnel Boring Machine[J]. Energies, 2022, 15(8): 2907. (SCI/EI检索，影响因子: 3.252)
[14] Fan Zhonglei, Zhang Tianci, Qiao Jianqiang, et al. Multi-objective Excavation Trajectory Optimization for Intelligent Electric Shovel Based on ROS[C]//IOP Conference Series: Materials Science and Engineering. IOP Publishing, 2020, 717(1): 012015. (EI检索)
[15] Liu Yin, Zhang Tianci, Gao Yuqiong, et al. A MATLAB GUI Toolbox for Surrogate-Based Design and Optimization[C]//2019 IEEE 9th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2019: 103-106. (EI检索)
[16] 黎柿汪,张天赐,付涛等.基于堆料面预测模型的电铲三维挖掘轨迹规划[J].大连理工大学学报,2022,62(06):582-591. (中文核心)
[17] 李光,付涛,张天赐* 基于PCL库的矿场环境点云配准方法研究[J]. 机械设计, 2021, 38 (S1) 174-177. (中文核心)
[18] 吴晓光, 张天赐*, 韦磊. 一种基于神经网络的双足机器人混合动力学系统辨识方法[J]. 中国机械工程, 2018, 029(014):1674-1681. (EI源刊)
*代表通讯作者
[1] Zhang Tianci, Zhou Zhibin, Yan Changchang, et al. Digital twin-driven excavation trajectory planning of unmanned excavator based on multidisciplinary co-simulation[J]. Automation in Construction, 2025, 178: 106404. (工程机械顶刊，中科院1区SCI，影响因子: 11.5)
[2] Zhang Tianci, Fu Tao, Ni Tao, et al. Data-driven excavation trajectory planning for unmanned mining excavator[J]. Automation in Construction, 2024, 162: 105395. (中科院1区SCI，影响因子: 11.5)
[3] Zhang Tianci, Fu Tao, Song Xueguan, et al. Multi-objective excavation trajectory optimization for unmanned electric shovels based on pseudospectral method[J]. Automation in Construction, 2022, 136: 104176. (中科院1区SCI，影响因子: 11.5)
[4] Zhang Tianci, Fu Tao, Song Xueguan, et al. Toward autonomous mining: design and development of an unmanned electric shovel via point cloud-based optimal trajectory planning[J]. Frontiers of Mechanical Engineering, 2022, 17(3): 1-17. (SCI/EI检索，中科院2区，影响因子: 4.7)
[5] Zhang Tianci, Fu Tao, Song Xueguan. Design of Unmanned Cable Shovel Based on Multiobjective Co-Design Optimization of Structural and Control Parameters[J]. Journal of Mechanical Designs (ASME Transactions), 2022, 144(9): 091708. (SCI检索，影响因子: 3.441)
[6] Zhang Tianci, Zhou Zhibin, Wang Zihe, et al. Chaotic gait suppression of biped robot via neural network-based adaptive predictive feedback control[J]. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2025, 47(9): 1-16. (SCI检索)
[7] Fu Tao, Zhang Tianci, Lv Yilin, et al. Digital twin-based excavation trajectory generation of uncrewed excavators for autonomous mining[J]. Automation in Construction, 2023, 151: 104855. (工程机械顶刊，中科院1区SCI，影响因子: 11.5)
[8] Song Xueguan, Zhang Tianci, Yuan Yongliang, et al. Multidisciplinary co-design optimization of the structure and control systems for large cable shovel considering cross-disciplinary interaction[J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2020, 234(22): 4353-4365. (SCI/EI检索，影响因子: 1.9)
[9] 宋学官, 张天赐, 付涛, 郭东明. 智重装备的结构与控制多学科一体化优化设计方法[J]. 机械工程学报, 2022, 58(17): 26-40. (EI源刊)
[10] 张志文, 刘伯威, 张继园, 唐杰, 张天赐*. 麻雀搜索算法-粒子群算法与快速扩展随机树算法协同优化的智能车辆路径规划[J].中国机械工程, 2024, 35(06):993-999+1009. (EI源刊)
[11] Shi Maolin, Zhang Tianci, Zhang Liyong, et al. A fuzzy c-means algorithm based on the relationship among attributes of data and its application in tunnel boring machine[J]. Knowledge-Based Systems, 2020, 191: 105229. (SCI/EI检索，影响因子: 8.139)
[12] Fu Tao, Zhang Tianci, Cui Yunhao, et al. Novel Hybrid Physics-Informed Deep Neural Network for Dynamic Load Prediction of Electric Cable Shovel[J]. Chinese Journal of Mechanical Engineering, 2022, 35(1): 1-14. (SCI/EI检索，影响因子: 2.964)
[13] Fu Tao, Zhang Tianci, Song Xueguan. A Novel Hybrid Transfer Learning Framework for Dynamic Cutterhead Torque Prediction of the Tunnel Boring Machine[J]. Energies, 2022, 15(8): 2907. (SCI/EI检索，影响因子: 3.252)
[14] Fan Zhonglei, Zhang Tianci, Qiao Jianqiang, et al. Multi-objective Excavation Trajectory Optimization for Intelligent Electric Shovel Based on ROS[C]//IOP Conference Series: Materials Science and Engineering. IOP Publishing, 2020, 717(1): 012015. (EI检索)
[15] Liu Yin, Zhang Tianci, Gao Yuqiong, et al. A MATLAB GUI Toolbox for Surrogate-Based Design and Optimization[C]//2019 IEEE 9th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2019: 103-106. (EI检索)
[16] 黎柿汪,张天赐,付涛等.基于堆料面预测模型的电铲三维挖掘轨迹规划[J].大连理工大学学报,2022,62(06):582-591. (中文核心)
[17] 李光,付涛,张天赐* 基于PCL库的矿场环境点云配准方法研究[J]. 机械设计, 2021, 38 (S1) 174-177. (中文核心)
[18] 吴晓光, 张天赐*, 韦磊. 一种基于神经网络的双足机器人混合动力学系统辨识方法[J]. 中国机械工程, 2018, 029(014):1674-1681. (EI源刊)
*代表通讯作者
[1] Zhang Tianci, Zhou Zhibin, Yan Changchang, et al. Digital twin-driven excavation trajectory planning of unmanned excavator based on multidisciplinary co-simulation[J]. Automation in Construction, 2025, 178: 106404. (工程机械顶刊，中科院1区SCI，影响因子: 11.5)
[2] Zhang Tianci, Fu Tao, Ni Tao, et al. Data-driven excavation trajectory planning for unmanned mining excavator[J]. Automation in Construction, 2024, 162: 105395. (中科院1区SCI，影响因子: 11.5)
[3] Zhang Tianci, Fu Tao, Song Xueguan, et al. Multi-objective excavation trajectory optimization for unmanned electric shovels based on pseudospectral method[J]. Automation in Construction, 2022, 136: 104176. (中科院1区SCI，影响因子: 11.5)
[4] Zhang Tianci, Fu Tao, Song Xueguan, et al. Toward autonomous mining: design and development of an unmanned electric shovel via point cloud-based optimal trajectory planning[J]. Frontiers of Mechanical Engineering, 2022, 17(3): 1-17. (SCI/EI检索，中科院2区，影响因子: 4.7)
[5] Zhang Tianci, Fu Tao, Song Xueguan. Design of Unmanned Cable Shovel Based on Multiobjective Co-Design Optimization of Structural and Control Parameters[J]. Journal of Mechanical Designs (ASME Transactions), 2022, 144(9): 091708. (SCI检索，影响因子: 3.441)
[6] Zhang Tianci, Zhou Zhibin, Wang Zihe, et al. Chaotic gait suppression of biped robot via neural network-based adaptive predictive feedback control[J]. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2025, 47(9): 1-16. (SCI检索)
[7] Fu Tao, Zhang Tianci, Lv Yilin, et al. Digital twin-based excavation trajectory generation of uncrewed excavators for autonomous mining[J]. Automation in Construction, 2023, 151: 104855. (工程机械顶刊，中科院1区SCI，影响因子: 11.5)
[8] Song Xueguan, Zhang Tianci, Yuan Yongliang, et al. Multidisciplinary co-design optimization of the structure and control systems for large cable shovel considering cross-disciplinary interaction[J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2020, 234(22): 4353-4365. (SCI/EI检索，影响因子: 1.9)
[9] 宋学官, 张天赐, 付涛, 郭东明. 智重装备的结构与控制多学科一体化优化设计方法[J]. 机械工程学报, 2022, 58(17): 26-40. (EI源刊)
[10] 张志文, 刘伯威, 张继园, 唐杰, 张天赐*. 麻雀搜索算法-粒子群算法与快速扩展随机树算法协同优化的智能车辆路径规划[J].中国机械工程, 2024, 35(06):993-999+1009. (EI源刊)
[11] Shi Maolin, Zhang Tianci, Zhang Liyong, et al. A fuzzy c-means algorithm based on the relationship among attributes of data and its application in tunnel boring machine[J]. Knowledge-Based Systems, 2020, 191: 105229. (SCI/EI检索，影响因子: 8.139)
[12] Fu Tao, Zhang Tianci, Cui Yunhao, et al. Novel Hybrid Physics-Informed Deep Neural Network for Dynamic Load Prediction of Electric Cable Shovel[J]. Chinese Journal of Mechanical Engineering, 2022, 35(1): 1-14. (SCI/EI检索，影响因子: 2.964)
[13] Fu Tao, Zhang Tianci, Song Xueguan. A Novel Hybrid Transfer Learning Framework for Dynamic Cutterhead Torque Prediction of the Tunnel Boring Machine[J]. Energies, 2022, 15(8): 2907. (SCI/EI检索，影响因子: 3.252)
[14] Fan Zhonglei, Zhang Tianci, Qiao Jianqiang, et al. Multi-objective Excavation Trajectory Optimization for Intelligent Electric Shovel Based on ROS[C]//IOP Conference Series: Materials Science and Engineering. IOP Publishing, 2020, 717(1): 012015. (EI检索)
[15] Liu Yin, Zhang Tianci, Gao Yuqiong, et al. A MATLAB GUI Toolbox for Surrogate-Based Design and Optimization[C]//2019 IEEE 9th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2019: 103-106. (EI检索)
[16] 黎柿汪,张天赐,付涛等.基于堆料面预测模型的电铲三维挖掘轨迹规划[J].大连理工大学学报,2022,62(06):582-591. (中文核心)
[17] 李光,付涛,张天赐* 基于PCL库的矿场环境点云配准方法研究[J]. 机械设计, 2021, 38 (S1) 174-177. (中文核心)
[18] 吴晓光, 张天赐*, 韦磊. 一种基于神经网络的双足机器人混合动力学系统辨识方法[J]. 中国机械工程, 2018, 029(014):1674-1681. (EI源刊)
*代表通讯作者
[1] Zhang Tianci, Zhou Zhibin, Yan Changchang, et al. Digital twin-driven excavation trajectory planning of unmanned excavator based on multidisciplinary co-simulation[J]. Automation in Construction, 2025, 178: 106404. (工程机械顶刊，中科院1区SCI，影响因子: 11.5)
[2] Zhang Tianci, Fu Tao, Ni Tao, et al. Data-driven excavation trajectory planning for unmanned mining excavator[J]. Automation in Construction, 2024, 162: 105395. (中科院1区SCI，影响因子: 11.5)
[3] Zhang Tianci, Fu Tao, Song Xueguan, et al. Multi-objective excavation trajectory optimization for unmanned electric shovels based on pseudospectral method[J]. Automation in Construction, 2022, 136: 104176. (中科院1区SCI，影响因子: 11.5)
[4] Zhang Tianci, Fu Tao, Song Xueguan, et al. Toward autonomous mining: design and development of an unmanned electric shovel via point cloud-based optimal trajectory planning[J]. Frontiers of Mechanical Engineering, 2022, 17(3): 1-17. (SCI/EI检索，中科院2区，影响因子: 4.7)
[5] Zhang Tianci, Fu Tao, Song Xueguan. Design of Unmanned Cable Shovel Based on Multiobjective Co-Design Optimization of Structural and Control Parameters[J]. Journal of Mechanical Designs (ASME Transactions), 2022, 144(9): 091708. (SCI检索，影响因子: 3.441)
[6] Zhang Tianci, Zhou Zhibin, Wang Zihe, et al. Chaotic gait suppression of biped robot via neural network-based adaptive predictive feedback control[J]. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2025, 47(9): 1-16. (SCI检索)
[7] Fu Tao, Zhang Tianci, Lv Yilin, et al. Digital twin-based excavation trajectory generation of uncrewed excavators for autonomous mining[J]. Automation in Construction, 2023, 151: 104855. (工程机械顶刊，中科院1区SCI，影响因子: 11.5)
[8] Song Xueguan, Zhang Tianci, Yuan Yongliang, et al. Multidisciplinary co-design optimization of the structure and control systems for large cable shovel considering cross-disciplinary interaction[J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2020, 234(22): 4353-4365. (SCI/EI检索，影响因子: 1.9)
[9] 宋学官, 张天赐, 付涛, 郭东明. 智重装备的结构与控制多学科一体化优化设计方法[J]. 机械工程学报, 2022, 58(17): 26-40. (EI源刊)
[10] 张志文, 刘伯威, 张继园, 唐杰, 张天赐*. 麻雀搜索算法-粒子群算法与快速扩展随机树算法协同优化的智能车辆路径规划[J].中国机械工程, 2024, 35(06):993-999+1009. (EI源刊)
[11] Shi Maolin, Zhang Tianci, Zhang Liyong, et al. A fuzzy c-means algorithm based on the relationship among attributes of data and its application in tunnel boring machine[J]. Knowledge-Based Systems, 2020, 191: 105229. (SCI/EI检索，影响因子: 8.139)
[12] Fu Tao, Zhang Tianci, Cui Yunhao, et al. Novel Hybrid Physics-Informed Deep Neural Network for Dynamic Load Prediction of Electric Cable Shovel[J]. Chinese Journal of Mechanical Engineering, 2022, 35(1): 1-14. (SCI/EI检索，影响因子: 2.964)
[13] Fu Tao, Zhang Tianci, Song Xueguan. A Novel Hybrid Transfer Learning Framework for Dynamic Cutterhead Torque Prediction of the Tunnel Boring Machine[J]. Energies, 2022, 15(8): 2907. (SCI/EI检索，影响因子: 3.252)
[14] Fan Zhonglei, Zhang Tianci, Qiao Jianqiang, et al. Multi-objective Excavation Trajectory Optimization for Intelligent Electric Shovel Based on ROS[C]//IOP Conference Series: Materials Science and Engineering. IOP Publishing, 2020, 717(1): 012015. (EI检索)
[15] Liu Yin, Zhang Tianci, Gao Yuqiong, et al. A MATLAB GUI Toolbox for Surrogate-Based Design and Optimization[C]//2019 IEEE 9th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2019: 103-106. (EI检索)
[16] 黎柿汪,张天赐,付涛等.基于堆料面预测模型的电铲三维挖掘轨迹规划[J].大连理工大学学报,2022,62(06):582-591. (中文核心)
[17] 李光,付涛,张天赐* 基于PCL库的矿场环境点云配准方法研究[J]. 机械设计, 2021, 38 (S1) 174-177. (中文核心)
[18] 吴晓光, 张天赐*, 韦磊. 一种基于神经网络的双足机器人混合动力学系统辨识方法[J]. 中国机械工程, 2018, 029(014):1674-1681. (EI源刊)
*代表通讯作者
[1] Zhang Tianci, Zhou Zhibin, Yan Changchang, et al. Digital twin-driven excavation trajectory planning of unmanned excavator based on multidisciplinary co-simulation[J]. Automation in Construction, 2025, 178: 106404. (工程机械顶刊，中科院1区SCI，影响因子: 11.5)
[2] Zhang Tianci, Fu Tao, Ni Tao, et al. Data-driven excavation trajectory planning for unmanned mining excavator[J]. Automation in Construction, 2024, 162: 105395. (中科院1区SCI，影响因子: 11.5)
[3] Zhang Tianci, Fu Tao, Song Xueguan, et al. Multi-objective excavation trajectory optimization for unmanned electric shovels based on pseudospectral method[J]. Automation in Construction, 2022, 136: 104176. (中科院1区SCI，影响因子: 11.5)
[4] Zhang Tianci, Fu Tao, Song Xueguan, et al. Toward autonomous mining: design and development of an unmanned electric shovel via point cloud-based optimal trajectory planning[J]. Frontiers of Mechanical Engineering, 2022, 17(3): 1-17. (SCI/EI检索，中科院2区，影响因子: 4.7)
[5] Zhang Tianci, Fu Tao, Song Xueguan. Design of Unmanned Cable Shovel Based on Multiobjective Co-Design Optimization of Structural and Control Parameters[J]. Journal of Mechanical Designs (ASME Transactions), 2022, 144(9): 091708. (SCI检索，影响因子: 3.441)
[6] Zhang Tianci, Zhou Zhibin, Wang Zihe, et al. Chaotic gait suppression of biped robot via neural network-based adaptive predictive feedback control[J]. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2025, 47(9): 1-16. (SCI检索)
[7] Fu Tao, Zhang Tianci, Lv Yilin, et al. Digital twin-based excavation trajectory generation of uncrewed excavators for autonomous mining[J]. Automation in Construction, 2023, 151: 104855. (工程机械顶刊，中科院1区SCI，影响因子: 11.5)
[8] Song Xueguan, Zhang Tianci, Yuan Yongliang, et al. Multidisciplinary co-design optimization of the structure and control systems for large cable shovel considering cross-disciplinary interaction[J]. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2020, 234(22): 4353-4365. (SCI/EI检索，影响因子: 1.9)
[9] 宋学官, 张天赐, 付涛, 郭东明. 智重装备的结构与控制多学科一体化优化设计方法[J]. 机械工程学报, 2022, 58(17): 26-40. (EI源刊)
[10] 张志文, 刘伯威, 张继园, 唐杰, 张天赐*. 麻雀搜索算法-粒子群算法与快速扩展随机树算法协同优化的智能车辆路径规划[J].中国机械工程, 2024, 35(06):993-999+1009. (EI源刊)
[11] Shi Maolin, Zhang Tianci, Zhang Liyong, et al. A fuzzy c-means algorithm based on the relationship among attributes of data and its application in tunnel boring machine[J]. Knowledge-Based Systems, 2020, 191: 105229. (SCI/EI检索，影响因子: 8.139)
[12] Fu Tao, Zhang Tianci, Cui Yunhao, et al. Novel Hybrid Physics-Informed Deep Neural Network for Dynamic Load Prediction of Electric Cable Shovel[J]. Chinese Journal of Mechanical Engineering, 2022, 35(1): 1-14. (SCI/EI检索，影响因子: 2.964)
[13] Fu Tao, Zhang Tianci, Song Xueguan. A Novel Hybrid Transfer Learning Framework for Dynamic Cutterhead Torque Prediction of the Tunnel Boring Machine[J]. Energies, 2022, 15(8): 2907. (SCI/EI检索，影响因子: 3.252)
[14] Fan Zhonglei, Zhang Tianci, Qiao Jianqiang, et al. Multi-objective Excavation Trajectory Optimization for Intelligent Electric Shovel Based on ROS[C]//IOP Conference Series: Materials Science and Engineering. IOP Publishing, 2020, 717(1): 012015. (EI检索)
[15] Liu Yin, Zhang Tianci, Gao Yuqiong, et al. A MATLAB GUI Toolbox for Surrogate-Based Design and Optimization[C]//2019 IEEE 9th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2019: 103-106. (EI检索)
[16] 黎柿汪,张天赐,付涛等.基于堆料面预测模型的电铲三维挖掘轨迹规划[J].大连理工大学学报,2022,62(06):582-591. (中文核心)
[17] 李光,付涛,张天赐* 基于PCL库的矿场环境点云配准方法研究[J]. 机械设计, 2021, 38 (S1) 174-177. (中文核心)
[18] 吴晓光, 张天赐*, 韦磊. 一种基于神经网络的双足机器人混合动力学系统辨识方法[J]. 中国机械工程, 2018, 029(014):1674-1681. (EI源刊)
*代表通讯作者
