1.期刊论文（*号表示通讯作者）
2024年：
[1] Dang Pengfei*, Cui Jie, Yang Hongfeng, Song Jian. (2024). Regional spectral characteristics, quality factor and site responses in western-central Sichuan, China (I): Application of parametric generalized inversion technique. Soil Dynamics and Earthquake Engineering. 176: 108303. (SCI检索)
[2] Dang Pengfei*, Cui Jie, Yang Hongfeng, Song Jian. (2024). Estimation of source characteristics, site effects and path attenuation in Sichuan Basin, China, using a nonparametric generalized inversion technique. Geophysical Journal International. (Proof). (英国皇家天文协会官方期刊，SCI检索 TOP).
[3] Dang Pengfei*, Cui Jie*, Liu Qifang. (2024). Estimation of model parameters and simulation of the earthquake ground motion by stochastic finite-fault modelling based on a modified slip-related corner frequency. Stochastic Environmental Research and Risk Assessment. 38(2):489-501. (SCI/EI检索)
[4] Chen Zhuoshi, Dang Pengfei*, Liu Qifang, Guo Yongning, Cui Jie. (2024). Modified stochastic finite-fault modeling based on the rupture process: A case study of the 2013 Mw 6.7 Lushan earthquake in China. Stochastic Environmental Research and Risk Assessment. doi:10.1007/s00477-024-02807-y. (SCI/EI检索)
2023年：
[1] Dang Pengfei*, Cui Jie, Liu Qifang, Ji Linjian. (2023). A method for predicting hybrid source model of near-field ground motion: Application to Yangbi earthquake in China. Seismological Research Letters. 94(1): 189-205. (美国地震学会官方期刊，SCI检索)
[2] Dang Pengfei*, Cui Jie, Ma Wanjun, Li Yangdong*. (2023). Simulation of the 2022 Mw 6.6 Luding, China, earthquake by a stochastic finite-fault model with a nonstationary phase. Soil Dynamics and Earthquake Engineering. 172:108035. (SCI检索)
[3] Dang Pengfei*, Yang Hongfeng*, Cui Jie, Song Jian. (2023). Regional spectral characteristics, quality factor and site responses in western-central Sichuan, China (II): Application to stochastic ground motion simulation. Soil Dynamics and Earthquake Engineering. 175: 108274. (SCI检索)
[4] Dang Pengfei*, Cui Jie*, Liu Qifang, Li Yadong. (2023). Simulation of earthquake ground motion via stochastic finite-fault modeling considering the effect of rupture velocity. Stochastic Environmental Research and Risk Assessment. 37(6):2225-2241. (SCI/EI检索)
[5] Dang Pengfei, Cui Jie, Li Yi*, Wang Wenbo. (2023). Simulation of ground motion from finite-fault modeling incorporating the influence of duration. Earth and Space Science. 10(9): e2023EA002871. (AGU期刊，SCI检索)
[6] Dang Pengfei, Cui Jie, Liu Qifang, Li Yadong*. (2023). Influence of source uncertainty on ground motion simulation: A case study of the 2022 Mw 6.6 Luding, China, earthquake. Stochastic Environmental Research and Risk Assessment. 37(8):2943-2960. (SCI/EI检索)
[7] Dang Pengfei*, Cui Jie, Li Yadong, Liu Qifang. (2023). Estimation of a hybrid slip model and its application to stochastic simulation of the Mw 6.6 earthquake on September 5, 2022, in Luding, China. Stochastic Environmental Research and Risk Assessment. 37(11): 4175-4196. (SCI/EI检索)
[8] Song Jian, Dang Pengfei*, Cui Jie. (2024). Composite source model for broadband ground-motion simulations: 2021 Mw 7.4 Maduo, China, earthquake case study. Seismological Research Letters. 94(6):2609-2626. (美国地震学会官方期刊，SCI检索)
[9] Dang Pengfei*, Cui Jie, Liu Qifang. (2023). Site amplification and rupture velocity in EXSIM and updated EXSIM during the 2017 Mw6.6 Jiuzhaigou, China earthquake. Natural Hazards. 116(1):1105-1123. (SCI检索)
[10] Li Yi, Dang Pengfei*, Xu Xiaohu, Lei Jianwei. (2023). Deep learning for improved subsurface imaging: enhancing GPR clutter removal performance using contextual feature fusion and enhanced spatial attention. Remote Sensing. 15(7):1729. (SCI检索 TOP)
[11] 党鹏飞，王文博，李亚东，崔杰*. (2023). 流体地质作用与资源环境效应——基于第八届流体地球科学与矿产资源及环境灾害学术研讨会的综述. 地球科学与环境学报, 45(2): 322-337. (北大核心)
2022年：
[1] Dang Pengfei*, Cui Jie, Liu Qifang. (2022). Parameter estimation for predicting near-fault strong ground motion and its application to Lushan earthquake in China. Soil Dynamics and Earthquake Engineering. 156: 107223. (SCI检索)
[2] Dang Pengfei*, Wang Chong, Qi Wenhao, Li Yadong. (2022). An updated stochastic finite fault modeling: Application to the Mw 6.0 earthquake in Jiashi, China. Soil Dynamics and Earthquake Engineering. 162: 107450. (SCI检索)
[3] Dang Pengfei*, Cui Jie, Liu Qifang, Xia Songlin. (2022). Slip-correlated high-frequency scaling factor for stochastic finite-fault modeling of ground motion. Bulletin of the Seismological Society of America. 112(3):1472-1482. (美国地震学会旗舰期刊，SCI检索)
[4] Wang Chong, Dang Pengfei*, Qi Wenhao, Li Yadong, Wang Fuyun, Bo Jingshan. (2022). Ground motion simulations for the 19 January 2020 Jiashi, China, earthquake using stochastic finite-fault approach. Earth and Space Science. 9(12): e2021EA002047. (AGU期刊，SCI检索)
[5] Dang Pengfei*, Liu Qifang, Ji Linjian. (2022). Comparison of the dynamic and static corner frequencies in ground motion simulation: Cases study of Jiuzhaigou earthquake and Northridge earthquake. Frontiers in Earth Science. 9: 813089. (SCI检索)
[6] 党鹏飞，刘启方*，马完君，王冲. (2022). 参数对地震动随机模拟结果的影响分析. 防灾减灾工程学报, 42(4): 768-777. (CSCD核心库)
[7] Li Bo, Li Xiaofei*, Zhao Lei, Dang Pengfei. (2022). Seismic response analysis of lattice communication tower considering pile-soil-structure interaction. Journal of Applied Science and Engineering, 26(11): 1573-1583. (EI检索)
[8] 师黎静，宋健*，党鹏飞，刘佳轩. (2022). 区域场地近地表速度结构建模研究, 岩土工程学报, 44(2): 360-367. (EI检索)
[9] 王冲，齐文浩*，党鹏飞，薄景山. (2022). 基于盆地效应的抗震设防研究之若干进展, 世界地震工程, 38(3): 221-235. (CSCD扩展库)
[10] 王冲，齐文浩*，党鹏飞，薄景山，王夫运. (2022). 基于实测2D物探剖面的渭河盆地效应研究, 地震工程与工程振动, 42(3): 226-234. (CSCD核心库)
2021年及以前（*号表示通讯作者）：
[1] Dang Pengfei*, Liu Qifang*, Xia Songlin, Ma Wanjun. (2021). A stochastic method for simulating near-field seismograms: Application to the 2016 Tottori earthquake. Earth and Space Science. 8(11): e2021EA001939. (AGU期刊，SCI检索)
[2] Dang Pengfei*, Liu Qifang. (2020). Stochastic finite-fault ground motion simulation for the Mw 6.7 earthquake in Lushan, China. Natural Hazards. 100(3):1215-1241. (SCI检索)
[3] Dang Pengfei*, Liu Qifang, Song Jian. (2020). Simulation of the Jiuzhaigou, China, earthquake by stochastic finite-fault method based on variable stress drop. Natural Hazards. 103(2): 2295-2321. (SCI检索)
[4] Dang Pengfei*, Liu Qifang, Ji Linjian, Wang Chong. (2020). Simulation of finite fault hybrid source models for the Mw 6.6 Jiuzhaigou, China, earthquake. Journal of Seismology. 24(6): 1255-1265. (SCI检索)
[5] 宋健，师黎静*，党鹏飞，谭景阳. 考虑海域衰减特性的日本相模湾海底场地放大研究, 土木工程学报，54(12): 74-84. (EI检索)
[6] 党鹏飞，夏松林，刘启方*. (2021). 日本熊本地区高频衰减参数κ与Vs30统计研究, 世界地震工程, 37(3): 200-206. (CSCD扩展库)
[7] 党鹏飞，刘启方*，王冲，夏松林. (2020). 地震动随机有限断层模拟方法综述, 地震工程与工程振动, 40(6): 131-139. (CSCD核心库)
[8] 党鹏飞，刘启方*. (2020). 基于NGA模型的芦山余震地震动衰减关系, 地震工程学报, 42(6): 1706-1714. (CSCD核心库)
[9] 党鹏飞*，刘启方. (2019). 新疆乌鲁木齐地区Vs30经验估计研究, 地震工程学报, 41(5):1324-1331. (CSCD核心库)
2.会议论文
[1] Dang Pengfei*. (2022). Site amplification and rupture velocity in EXSIM and updated EXSIM during the 2017 Mw6.6 Jiuzhaigou, China earthquake. 2022/2021年中国地球科学联合学术年会
[2] Dang Pengfei*. (2022). Study on source spectrum and key parameters of stochastic finite fault simulation. 2nd Edition of International Young Scientist Awards.
[3] 宋健，师黎静*，党鹏飞，李昕蕾. (2020). 哈尔滨市剪切波速与埋深相关性分析, 50(S1): 1088-1092.
[4] Ma Wanjun, Dang Pengfei, Xie Zhinan, Lu Jianqi. (2021). Application of stochastic finite-fault method to marine earthquake—2021 Fukushima earthquake in Japan. 976-980.
