1.期刊论文（*号表示通讯作者）
2025年：
[1] Dang Pengfei*, Cui Jie, Zhao Binyan. (2025). Spectral characteristics, path attenuation and site amplifications of ground motion from small to moderate earthquakes in Aksu, Xinjiang, China, using the generalized inversion technique. Soil Dynamics and Earthquake Engineering. 199:109718. (SCI/EI检索, TOP).
[2] Dang Pengfei*, Cui Jie, Yang Hongfeng, Song Jian. (2025). Estimation of source characteristics, site effects and path attenuation in Sichuan Basin, China, using a nonparametric generalized inversion technique. Geophysical Journal International. 240(2):1028-1047. (英国皇家天文协会官方期刊，SCI检索, TOP).
[3] 党鹏飞*，崔杰，刘启方. (2025). 随机有限断层地震动模拟输入参数模型研究进展. 地震工程学报, doi: 10.20000/j.1000-0844.20250311002 (CSCD核心库)
[4] 党鹏飞*，杨宏峰，崔杰，刘启方. (2025). 近场地震动模拟方法的发展与评估——基于复杂物理过程的发展进程及模拟结果比较. 防灾减灾工程学报, doi:10.13409/j.cnki.jdpme.20250624001. (CSCD核心库)
[5] 党鹏飞*，刘启方，崔杰. (2025). 基于广义反演技术估计中小型地震的震源参数、路径衰减和近地表场地放大：综述. 地震工程学报, doi:10.20000/j.1000-0844.20250430003. (CSCD核心库)
[6] Dang Pengfei*, Cui Jie, Zhao Binyan, Liu Qifang. (2025). Near surface high-frequency spectral decay kappa (κ) model of S waves in western-central Sichuan, China. Seismological Research Letters. Accepted. (美国地震学会官方期刊, SCI检索).
[7] Ranjbar Mohsen, Motaghi Khalil, Dang Pengfei. (2025). Calibration of path and site effects and simulation of megathrust earthquake scenarios in the Makran subduction zone using stochastic finite fault modeling. Natural Hazards, 121(2025):16033-16063.
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/EI检索, TOP)
[2] 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)
[3] 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. 38(11):4347-4368. (SCI/EI检索)
2023年：
[1] Dang Pengfei*, Cui Jie, Ma Wanjun, Li Yadong*. (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/EI检索, TOP)
[2] 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/EI检索, TOP)
[3] 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)
[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. (2023). 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. (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/EI检索, TOP)
[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/EI检索, TOP)
[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：
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.
