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Visual cues and consumer's booking intention in P2P accommodation: Exploring the role of social and emotional signals from hosts' profile photos
来源：TOURISM MANAGE( P 0261-5177 E 1879-3193 ) 发表时间: 2024/06
Text Analysis in Tourism and Hospitality: A Comprehensive Review
来源：J TRAVEL RES( P 0047-2875 E 1552-6763 ) 发表时间: 2024/04
Exploring the antecedents of airline employee job satisfaction and dissatisfaction through employee-generated data
来源：J AIR TRANSP MANAG( P 0969-6997 E 1873-2089 ) 发表时间: 2024/03
Collaborative forecasting of tourism demand for multiple tourist attractions with spatial dependence: A combined deep learning model
来源：TOURISM ECON( P 1354-8166 E 2044-0375 ) 发表时间: 2024/03
Hosts’ online affinities and their impacts on the number of online reviews on peer-to-peer platforms
来源：TOURISM MANAGE( P 0261-5177 E 1879-3193 ) 发表时间: 2024/02
Exploring the effect of “home feeling” on the online rating of homestays: a three-dimensional perspective
来源：INT J CONTEMP HOSP M( P 0959-6119 E 1757-1049 ) 发表时间: 2024/01
Fine-grained tourism demand forecasting: A decomposition ensemble deep learning model
来源：TOURISM ECON( P 1354-8166 E 2044-0375 ) 发表时间: 2023/11
Fantasy curiosity: a new theoretical perspective to understand anime pilgrimage
来源：CURR ISSUES TOUR( P 1368-3500 E 1747-7603 ) 发表时间: 2023/11
Tourism demand forecasting under conceptual drift during COVID-19: an ensemble deep learning model
来源：CURR ISSUES TOUR( P 1368-3500 E 1747-7603 ) 发表时间: 2023/10
The role of employee loyalty in online reputation: evidence from tourism and hospitality sector
来源：INT J CONTEMP HOSP M( P 0959-6119 E 1757-1049 ) 发表时间: 2023/10
Bi, J. W., Li C., Xu H. & Li, H. (2022). Forecasting daily tourism demand with big data: An ensemble deep learning method. Journal of Travel Research, 61(8), 1719-1737. (SSCI, IF=10.982, JCR Q1, ABS 4)
Chen, D., & Bi, J.W. * (2022). Cue congruence effects of attribute performance and hosts’ service quality attributes on room sales on peer-to-peer accommodation platforms. International Journal of Contemporary Hospitality Management, 34(10), 3634-3654.
Bi, J.W., Han, T. Y., Yao, Y., & Li, H. (2022). Ranking hotels through multi-dimensional hotel information: a method considering travelers’ preferences and expectations. Information Technology & Tourism, 24(1), 127-155.
He, L. Y., Li, H.*, Bi, J.W., Yang, J. J., & Zhou, Q. (2022). The impact of public health emergencies on hotel demand-Estimation from a new foresight perspective on the COVID-19. Annals of Tourism Research, 94, 103402.
Chang, J. L., Li, H.*, & Bi, J.W. (2022). Personalized travel recommendation: a hybrid method with collaborative filtering and social network analysis. Current Issues in Tourism, 25(14), 2338-2356.
Bi, J. W., Li, H., & Fan, Z. P. (2021). Tourism demand forecasting with time series imaging: A deep learning model. Annals of Tourism Research, 90, 103255. (SSCI, IF=9.011, JCR Q1, ABS 4)
Gao, G. X., & Bi, J. W. * (2021). Hotel booking through online travel agency: Optimal Stackelberg strategies under customer-centric payment service. Annals of Tourism Research, 86, 103074. (SSCI, IF=9.011, JCR Q1, ABS 4)
Cheng, H., Liu, Q., & Bi, J. W. * (2021). Perceived crowding and festival experience: The moderating effect of visitor-to-visitor interaction. Tourism Management Perspectives, 40, 100888. (SSCI, IF=6.586, JCR Q1)
Bi, J. W., Liu, Y., Fan, Z. P., & Zhang, J. (2020). Exploring asymmetric effects of attribute performance on customer satisfaction in the hotel industry. Tourism management, 77, 104006. (SSCI, IF=10.967, JCR Q1, ABS 4, ESI高被引论文)
Bi, J. W., Liu, Y., & Li, H. (2020). Daily tourism volume forecasting for tourist attractions. Annals of Tourism Research, 83, 102923. (SSCI, IF=9.011, JCR Q1, ABS 4)
Bi, J. W., Han, T. Y., & Li, H. (2020). International tourism demand forecasting with machine learning models: The power of the number of lagged inputs. Tourism Economics, 28(3), 621-645. (SSCI, IF=4.438, JCR Q1)
Bi, J. W., Liu, Y., & Fan, Z. P. (2020). Crowd intelligence: Conducting asymmetric impact-performance analysis based on online reviews. IEEE Intelligent Systems, 35(2), 92-98. (SCI, IF=3.405, JCR Q2)
Bi, J. W., Liu, Y., & Fan, Z. P. (2020). A deep neural networks based recommendation algorithm using user and item basic data. International Journal of Machine Learning and Cybernetics, 11(4), 763-777. (SCI, IF=4.012, JCR Q2)
Bi, J. W., Liu, Y., Fan, Z. P., & Zhang, J. (2019). Wisdom of crowds: Conducting importance-performance analysis (IPA) through online reviews. Tourism Management, 70, 460-478. (SSCI, IF=10.967, JCR Q1, ABS 4, ESI高被引/热点论文)
Bi, J. W., Liu, Y., Fan, Z. P., & Cambria, E. (2019). Modelling customer satisfaction from online reviews using ensemble neural network and effect-based Kano model. International Journal of Production Research, 57(22), 7068-7088. (SCI, IF=8.568, JCR Q1, ABS 3)
Bi, J. W., Liu, Y., & Fan, Z. P. (2019). Representing sentiment analysis results of online reviews using interval type-2 fuzzy numbers and its application to product ranking. Information Sciences, 504, 293-307. (SCI, IF=6.795, JCR Q1)
毕建武, 刘洋, 樊治平. 依据在线评论的商品排序方法[J]. 系统工程学报, 2018, 33(03):422-432. (国家自然科学基金委管理科学部认定A级重要期刊)
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