[1]Jing, P.*, Cai, Y., Wang, B., Wang, B., Huang, J., Jiang, C., & Yang, C. (2023). Listen to social media users: Mining Chinese public perception of automated vehicles after crashes. Transportation Research Part F: Traffic Psychology and Behaviour, 93, 248–265. https://doi.org/10.1016/j.trf.2023.01.018 (IF = 4.349)

[2]Jing, P.*, Wang, B., Cai, Y., Wang, B., Huang, J., Yang, C., & Jiang, C. (2023). What is the public really concerned about the AV crash? Insights from a combined analysis of social media and questionnaire survey. Technological Forecasting and Social Change, 189, 122371. https://doi.org/10.1016/j.techfore.2023.122371 (IF = 10.884)

[3]Sun, H., Jing, P.*, Wang, B., Cai, Y., Ye, J., & Wang, B. (2023). The effect of record-high gasoline prices on the consumers’ new energy vehicle purchase intention: Evidence from the uniform experimental design. Energy Policy, 175, 113500. https://doi.org/10.1016/j.enpol.2023.113500 (IF = 7.576)

[4]Zhang, S., Jing, P.*, Yuan, D., & Yang, C. (2022). On parents’ choice of the school travel mode during the COVID-19 pandemic. Mathematical Biosciences and Engineering: MBE, 19(9), 9412–9436. https://doi.org/10.3934/mbe.2022438 (IF = 2.194)

[5]Mao Y, Mei Q, Jing P, Zha Y, Xue Y, Huang J, Shao D, Luo P. Factors Affecting the Parental Intention of Using AVs to Escort Children: An Integrated SEM–Hybrid Choice Model Approach. Sustainability. 2022; 14(18):11640. https://doi.org/10.3390/su141811640

[6]Qiang Mei, Yueqi Mao, Peng Jing & Kewen Pan (2022) School travel mode shift from driving to active school travel: an analysis based on SSBC, Journal of Environmental Planning and Management, DOI: 10.1080/09640568.2022.2100248

[7]Chen, L., Yang, C., Jing, P. et al. Are they willing to switch from non-driving to driving? An exploratory study among Chinese older people. Transportation (2022). https://doi.org/10.1007/s11116-022-10274-z (SCI, 二区)

[8]Jing, P., Pan, K., Yuan, D., Jiang, C., Wang, W., Chen, Y., Shi, Y., & Xie, J. (2021). Using bibliometric analysis techniques to understand the recent progress in school travel research, 2001–2021. Journal of Transport & Health, 23, 101265. https://doi.org/10.1016/j.jth.2021.101265 (SSCI, IF = 3.613)

[9]Jing, P., Du, L., Chen, Y., Shi, Y., Zhan, F., & Xie, J. (2021). Factors that influence parents’ intentions of using autonomous vehicles to transport children to and from school. Accident Analysis & Prevention, 152, 105991. https://doi.org/10.1016/j.aap.2021.105991. (SCI, IF = 6.316, 一区)

[10]景鹏, 黄芳, 徐刚, 王伟. 自动驾驶支付意愿及影响因素分析[J]. 长安大学学报(自然科学版), 2021, 41(01): 90-102.

[11]Jing Peng, Chen Yuanyuan, Wang Xinyue, et al. Evaluating the effectiveness of Didi ride-hailing security measures: an integration model[J]. Transportation research part F: traffic psychology and behaviour, 2021, 76: 139-166. (SCI, IF=2.518, SSCI, 二区)

[12]景鹏, 王伟, 吴麟麟. 老年人对自动驾驶汽车接受度研究[J]. 中国公路学报, 2021, 34(06): 158-171. (EI)

[13]Zhang Suang, Jing Peng, Xu Gang. The Acceptance of Independent Autonomous Vehicles and Cooperative Vehicle-Highway Autonomous Vehicles[J]. Information, 2021, 12(9): 346. (EI)

[14]Jing Peng, Hu Hanbin, Zhan Fengping, et al. Agent-based simulation of autonomous vehicles: A systematic literature review[J]. IEEE Access, 2020, 8: 79089-79103. (SCI)

[15]Sun Huiqian, Jing Peng, Zhao Mengxuan, et al. Research on the Mode Choice Intention of the Elderly for Autonomous Vehicles Based on the Extended Ecological Model[J]. Sustainability, 2020, 12(24): 10661. (SSCI, 二区)

[16]Jing Peng, Xu Gang, Chen Yuexia, et al. The determinants behind the acceptance of autonomous vehicles: A systematic review[J]. Sustainability, 2020, 12(5): 1719. （SCI/SSCI, IF=2.592, 二区）

[17]Wu Linlin, Wang Wei, Jing Peng, et al. Travel mode choice and their impacts on environment—a literature review based on bibliometric and content analysis, 2000–2018[J]. Journal of Cleaner Production, 2020, 249: 119391.（SCI/SSCI, IF=6.395）

[18]Jing Peng, Huang Hao, Ran Bing, et al. Exploring the factors affecting mode choice Intention of autonomous vehicle based on an extended theory of planned behavior—A case study in China[J]. Sustainability, 2019, 11(4): 1155. （SCI/SSCI, IF=2.592）

[19]Li Tian, Jing Peng, Li L, et al. Revealing the varying impact of urban built environment on online car-hailing travel in spatio-temporal dimension: an exploratory analysis in Chengdu, China[J]. Sustainability, 2019, 11(5): 1336. (SSCI)

[20]Jing Peng, You Qingku, Chen L. Agent-Based Simulation of Children’s School Travel Mode with Parental Escort Decisions[J]. Information, 2018, 9(3): 50. (EI)

[21]Jing Peng, Zhao Mengxuan, He Meilin, et al. Travel mode and travel route choice behavior based on random regret minimization: A systematic review[J]. Sustainability, 2018, 10(4): 1185. (SCI/SSCI, IF=2.592)

[22]Li Tian, Sun Dazhi, Jing Peng, et al. Smart card data mining of public transport destination: A literature review[J]. Information, 2018, 9(1): 18. (EI)

[23]Peng Jing, Jing Wang, Long Chen, Qi-fen. Incorporating the extended theory of planned behavior in a school travel mode choice model: a case study of Shaoxing, China[J]. Transportation Planning and Technology, 2017, 41(2):119-137.（SCIE/SSCI, IF=0.512）

[24]P Jing, Huang H, Chen L. An adaptive traffic signal control in a connected vehicle environment: A systematic review[J]. Information, 2017, 8(3). （EI）

[25]景 鹏, 王 静, 查奇芬, 何美玲, 陆 颖. 影响学校出行方式选择的心理因素研究综述[J]. 中国公路学报, 2017, 30(2):107-119.（EI）

[26]Jing Peng, Huang, Wei, Chen Long. Car-to-pedestrian communication safety system based on the vehicular Ad-Hoc network environment: A systematic review[J]. Information, 2017, 8(4). （EI）

[27]JING Peng, WANG Jing, ZHA Qifen. Understanding Attitudes towards Travel Mode Choice for Environmentlly Sustainable Transportation: Extending the Theory of Planned Bheavior[J]. BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY. 2016, 118(1). （SCIE, IF=2.452）

[28]景鹏, 王静, 陈龙, 查奇芬, 陈月霞. 考虑主观态度的低碳出行市场细分实证研究[J]. 预测, 2016, 35(6):37-43.（CSSCI）

[29]景鹏, 隽志才, 查奇芬. 扩展计划行为理论框架下基于MIMIC模型的城际出行行为分析[J]. 管理工程学报, 2016, 30(4):61-68.（CSSCI）

[30]Wu Linlin, Yang Biao, Jing Peng. Travel mode detection based on GPS raw data collected by smartphones: a systematic review of the existing methodologies[J]. Information, 2016, 7(4): 67. (EI)

[31]景鹏, 隽志才. 考虑心理潜变量的出行方式选择行为模型[J]. 中国公路学报. 2014, 27(11):84-92.（EI, IF=1.290）

[32]Jing Peng, Juan Zhi-cai, and Gao Lin-jie, “Application of the Expanded Theory of Planned Behavior in Intercity Travel Behavior,” Discrete Dynamics in Nature and Society, vol. 2014, Article ID 308674, 10 pages, 2014. doi:10.1155/2014/308674（SCI）

[33]He Meiling, Jing Peng, Wu Xiaohui, Hu Qifan, Calculationand Decomposition Model of  Carbon Emissions from Transportation Energy Consumption in Jiangsu Province, China, Energy Education  Science and Technology Part A: Energy Science and Research, 2014, 32(5):4423-4430.（EI）

[34]Jing, P., Z. Juan. The Theory of Planned Behavior The Role of Descriptive Norms and Habit in the Prediction of Intercity Travel Mode Choice[J]. Journal of Convergence Information Technology. 2013, 8(10):211-219.（EI）

[35]Lu Ying, Jing Peng. Production planning with postponement strategy based on classification of product differentiations[J]. Journal of Software, 2013, 8(9):2253-2261.（EI）

[36]Lu Ying, Jing Peng. The combination of postponement operations in a supply chain network with multi-level product differentiations[J]. Journal of Networks, 2013, 8(12):2900-2907.（EI）

[37]景鹏, 隽志才. 人口统计特征对区域城际出行方式选择行为意向影响[J]. 统计与决策. 2013, 392:75-78.（CSSCI）

[38]景鹏, 隽志才, 贾玲玉. 采用均匀设计SP调查的出行方式选择建模与敏感性分析[J]. 预测. 2012, 31(4):75-80.（CSSCI）

[39]Jing, P., Z. Juan, X. Lin. The object-oriented methodology of traffic microscope simulation system for generating vehicles from OD matrix[J]. Journal of Convergence Information Technology. 2012, 7(10): 337-346.（EI）

[40]Jing, P., Z. Juan, L. Gao, Improvement of the full velocity difference car-following model. [J] Journal of Computational Information Systems. 2011, 7(10): 3651-3659.（EI）

[41]Jing, P., Analysis of vehicle conversion factor in the period of melts to freeze of winter[J]. Advances in Information Sciences and Service Sciences. 2011, 3(1): 87-94.（EI）

[42]景鹏, 隽志才, 林徐勋. 基于OD的微观交通发车仿真系统设计[J]. 计算机应用研究. 2010, 27(4): 1380-1383.（IF=1.466）

[43]Jing Peng, Cui Shenlin. Study of traffic flow characteristics on icy and snowy pavement of city based on multivariate statistical analysis[C]//2010 International Conference on Mechanic Automation and Control Engineering. IEEE, 2010: 4318-4321. (EI)

[44]景鹏, 崔声伶. 城市道路冰雪路面交通流状态特性研究[J]. 中外公路. 2010(4): 313-317.

[45]景鹏, 王国林, 魏领军. 基于模糊推理系统路面平整度预测研究[J]. 中外公路, 2008(06): 70-74.

[46]景鹏, 孟祥海. 冰雪融冻期车辆折算系数研究[J]. 交通运输工程与信息学报, 2007(03): 26-32+68.

[47]强添纲, 景鹏, 康晓琼.中心城市交通生成模型构建与分析[J].森林工程,2007(03):73-76.

[48]景鹏, 孟祥海. 基于模糊聚类的冰雪融冻期交通流状态分析[J]. 东北林业大学学报, 2007(04): 46-49.