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部分代表性论文

  1. Xuan Wei, Zhu Zhang*, Mingyue Zhang（并列通讯作者）, Weiyun Chen, and Daniel Dajun Zeng, “Combining Crowd and Machine Intelligence to Detect False News on Social Media,” MIS Quarterly, vol. 46, no. 2, pp. 977–1008, 2022, doi: 10.25300/MISQ/2022/16256. （管理信息系统top 1期刊，UTD 24期刊）
  2. Zhu Zhang#, Xuan Wei#（并列一作）, Xiaolong Zheng*, Qiudan Li, and Daniel Dajun Zeng, “Detecting Product Adoption Intentions via Multi-View Deep Learning,” INFORMS Journal on Computing, vol. 34, no. 1, pp. 541–556, Jan. 2022, doi: 10.1287/ijoc.2021.1083.（信息系统顶级期刊，UTD 24期刊）
  3. Jiaheng Xie*#, Zhu Zhang#（并列一作）, Xiao Liu, Daniel Zeng, “Unveiling the Hidden Truth of Drug Addiction: A Social Media Approach Using Similarity Network-Based Deep Learning,” Journal of Management Information Systems, vol. 38, no. 1, pp. 166–195, Jan. 2021. (信息系统顶级期刊，FT 50期刊；SCI Q1区，IF: 3.949)
  4. Zhu Zhang#, Xuan Wei#（并列一作）,Xiaolong Zheng*, and Daniel Dajun Zeng, “Predicting Product Adoption Intention: An Integrated Behavioral Model-Inspired Multi-View Learning Approach”, Information & Management, vol. 58, no. 7, Art. no. 7, Nov. 2021.（信息系统一流期刊，ABDC期刊A+类，ABS 3；SCI排名5/87）
  5. Wanting Wen*#, Zhu Zhang#（并列一作）, Ziqiang Li, Jiaqi Liang, Yongcheng Zhan, Daniel Dajun Zeng, Scott J. Leischow, “Public Reactions to the Cigarette Control Regulation on a Chinese Microblogging Platform: Empirical Analysis,” Journal of Medical Internet Research, vol. 22, no. 4, p. e14660, 2020. (SCI Q1区，IF: 5.034，排名2/27；国际信息系统协会 SIG Health推荐top 3)
  6. Yongcheng Zhan*#, Zhu Zhang#（并列一作）, Janet. M. Okamoto, Daniel Dajun Zeng, and Scott J. Leischow, “Underage JUUL Use Patterns: Content Analysis of Reddit Messages,” Journal of Medical Internet Research, vol. 21, no. 9, p. 13038, Sep. 2019. (SCI Q1区，IF: 5.034，排名2/27；国际信息系统协会SIG Health推荐top 3)
  7. Zhu Zhang, Xialong Zheng*, and Daniel Dajun Zeng, “A framework for diversifying recommendation lists by user interest expansion,” Knowledge-Based Systems, vol. 105, pp. 83–95, Spring 2016. (信息系统一流期刊，ABDC期刊 A类；SCI Q1 区，IF：5.921)
  8. Zhu Zhang, Xialong Zheng*, Daniel Dajun Zeng, and Scott J. Leischow, “Tracking Dabbing Using Search Query Surveillance: A Case Study in the United States,” Journal of Medical Internet Research, vol. 18, no. 9, p. e252, 2016. (SCI Q1区，IF: 5.034，排名2/27；国际信息系统协会 SIG Health推荐top 3)
  9. Zhu Zhang, Daniel Dajun Zeng*, Ahmed Abbasi, Jing Peng, and Xialong Zheng, “A Random Walk Model for Item Recommendation in Social Tagging Systems,” ACM Transactions on Management Information Systems, vol. 4, no. 2, pp. 8:1–8:24, 2013. (信息系统权威期刊，FMS B类)
  10. 曾大军, 张柱, 梁嘉琦, 等, 2022. 机器行为与人机协同决策理论和方法[J]. 管理科学, 34(6): 55-59.