个人简介
侯磊,南京信息工程大学管理工程学院信息管理系讲师,南京信息工程大学龙山学者,江苏省双创博士。此前,毕业于英国雷丁大学亨利商学院,获商业信息学博士学位,后于香港城市大学传播研究中心从事研究工作。目前已在线上信息管理、用户行为分析、复杂系统建模等领域在国内外高水平期刊《Tourism Management》、《Internet Research》、《Journal of Informetrics》、《Physica A》等发表论文30余篇,Google Scholar总引用量600余次,H指数15。
教育、研究经历
10/2019 ~ 至今: 讲师,南京信息工程大学,管理工程学院
10/2018 ~ 11/2019: 博士后研究员,香港城市大学,传播研究中心
09/2015 ~ 08/2018: 信息学博士,英国雷丁大学,亨利商学院
12/2014 ~ 07/2015: 研究助理,香港城市大学,互联网挖掘实验室
09/2012 ~ 03/2015: 理学硕士,上海理工大学,管理学院,系统科学
09/2008 ~ 06/2012: 管理学学士,山东科技大学,资源与环境工程学院,工业工程
近期论文
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Hou, L., & Pan, X. (2023). Aesthetics of hotel photos and its impact on consumer engagement: A computer vision approach. Tourism Management, 94, 104653. (SSCI, IF 12.879, ABS 4星)
Hou, L., Guan, L., Zhou, Y., Shen, A., Wang, W., Luo, A., Lu, H., & Zhu, J.J.H. (2022), Staying, switching, and multiplatforming of user-generated content activities: a 12-year panel study. Internet Research, ahead-of-print. (SCI, IF 6.353, ABS 3星)
Hou, L.*, Pan, Y. (2022). Evaluating the connectedness of commodity futures markets via the cross-correlation network. Frontiers in Physics, 10, 1017009. (SCI, IF 3.718)
Pan, Y., Hou, L.*, & Pan, X. (2022). Interplay between stock trading volume, policy, and investor sentiment: A multifractal approach. Physica A, 603, 127706. (SCI, IF 3.778)
Hou, L.* (2022). Network versus content: The effectiveness in identifying opinion leaders in an online social network with empirical evaluation. Physica A, 592, 126879. (SCI, IF 3.778)
Hou, L.*, & Pan, X. (2022). Consumers with specialised and diverse experience produce more helpful reviews. Online Information Review, 46(4), 645-659. (SSCI, IF 2.325)
Pan, X., Hou, L.*, & Liu, K. (2022). The Effect of Product Distance on the WOM in Recommendation Network. Electronic Commerce Research, 22, 901-924. (SSCI, IF 3.74)
Hou, L.*, Pan, Y., & Zhu, J.J.H. (2021). Impact of scientific, economic, geopolitical, and cultural factors on international research collaboration. Journal of Informetrics, 15(3), 101194. (SSCI, IF 5.107)
Hou, L.*, Pan, X., & Liu, K. (2018) Balancing the popularity bias of object similarities for personalised recommendation. European Physical Journal B, 91(3), 47. (SCI, IF 1.4)
Hou, L.*, Liu, K., Liu, J., & Zhang, R. (2017) Solving the stability–accuracy–diversity dilemma of recommender systems. Physica A, 468, 415-424. (SCI, IF 2.5)
Hou, L., & Liu, K. (2017) Common neighbour structure and similarity intensity in complex networks. Physics Letters A, 381(39), 3377-3383. (SCI, IF 2.087)
Hou, L., Pan, X., & Liu, K. (2017) Identifying informative objects for mining similar users in recommender systems. In: Proceedings of International Conference on Logistics, Informatics and Service Sciences. Kyoto, Japan. (会议最佳论文)
Liu, J., Hou, L., Pan, X., Guo, Q., & Zhou, T. (2016) Stability of similarity measurements for bipartite networks. Scientific Reports, 6, 18653. (SCI, IF 4.011)
Hou, L., Pan, X., Guo, Q., & Liu, J. (2014) Memory effect of the online user preference. Scientific Reports, 4, 6560. (SCI, IF 4.011)
Hou, L., Liu, J., Pan, X., & Wang, B. H. (2014) A social force evacuation model with the leadership effect. Physica A, 400, 93-99. (SCI, IF 2.5)