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[7]Sun H, Jing P*, Wang B, et al. The effect of record-high gasoline prices on the consumers’ new energy vehicle purchase intention: Evidence from the uniform experimental design[J]. Energy Policy, 2023, 175: 113500. (ESI高被引論文, SSCI&SCIE一區(qū), IF = 9.3)
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[17]Jing P*, Chen Y, Wang X, 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&SCIE二區(qū), IF=3.5)
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[20]景鵬, 黃芳, 徐剛, 王偉. 自動(dòng)駕駛支付意愿及影響因素分析[J]. 長(zhǎng)安大學(xué)學(xué)報(bào)(自然科學(xué)版), 2021, 41(01): 90-102.
[21]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)
[22]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)
[23]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, 二區(qū))
[24]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, 二區(qū)）
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[28]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)
[29]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)
[30]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)
[31]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）
[32]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）
[33]景 鵬, 王 靜, 查奇芬, 何美玲, 陸 穎. 影響學(xué)校出行方式選擇的心理因素研究綜述[J]. 中國(guó)公路學(xué)報(bào), 2017, 30(2):107-119.（EI）
[34]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）
[35]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）
[36]景鵬, 王靜, 陳龍, 查奇芬, 陳月霞. 考慮主觀態(tài)度的低碳出行市場(chǎng)細(xì)分實(shí)證研究[J]. 預(yù)測(cè), 2016, 35(6):37-43.（CSSCI）
[37]景鵬, 雋志才, 查奇芬. 擴(kuò)展計(jì)劃行為理論框架下基于MIMIC模型的城際出行行為分析[J]. 管理工程學(xué)報(bào), 2016, 30(4):61-68.（CSSCI）
[38]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)
[39]景鵬, 雋志才. 考慮心理潛變量的出行方式選擇行為模型[J]. 中國(guó)公路學(xué)報(bào). 2014, 27(11):84-92.（EI, IF=1.290）
[40]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）
[41]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）
[42]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）
[43]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）
[44]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）
[45]景鵬, 雋志才. 人口統(tǒng)計(jì)特征對(duì)區(qū)域城際出行方式選擇行為意向影響[J]. 統(tǒng)計(jì)與決策. 2013, 392:75-78.（CSSCI）
[46]景鵬, 雋志才, 賈玲玉. 采用均勻設(shè)計(jì)SP調(diào)查的出行方式選擇建模與敏感性分析[J]. 預(yù)測(cè). 2012, 31(4):75-80.（CSSCI）
[47]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）
[48]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）
[49]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）
[50]景鵬, 雋志才, 林徐勛. 基于OD的微觀交通發(fā)車仿真系統(tǒng)設(shè)計(jì)[J]. 計(jì)算機(jī)應(yīng)用研究. 2010, 27(4): 1380-1383.（IF=1.466）
[51]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)
[52]景鵬, 崔聲伶. 城市道路冰雪路面交通流狀態(tài)特性研究[J]. 中外公路. 2010(4): 313-317.
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