An Effective and Efficient Technique for Searching for Similar Brain Activation Patterns. - Jingjing Zhang 001; Vasileios Megalooikonomou (ISBI, 2007)

Analysis of texture patterns in medical images with an application to breast imaging. - Vasileios Megalooikonomou; Jingjing Zhang 001; Despina Kontos; Predrag R. Bakic (Computer-Aided Diagnosis, 2007)

A web-accessible framework for the automated storage and texture analysis of biomedical images. - Michael Barnathan; Jingjing Zhang 001; Vasileios Megalooikonomou (ISBI, 2008)

A texture-based methodology for identifying tissue type in magnetic resonance images. - Michael Barnathan; Jingjing Zhang 001; Erickson Miranda; Vasileios Megalooikonomou; Scott Faro; Harvey Hensley; Luis Del Valle; Kamel Khalili; Jennifer Gordon; Feroze B. Mohamed (ISBI, 2008)

Analyzing Tree-Like Structures in Biomedical Images Based on Texture and Branching: An Application to Breast Imaging. - Michael Barnathan; Jingjing Zhang 001; Despina Kontos; Predrag R. Bakic; Andrew D. A. Maidment; Vasileios Megalooikonomou (Digital Mammography / IWDM, 2008)

Anchoring effects of recommender systems. - Jingjing Zhang 001 (RecSys, 2011)

Iterative Smoothing Technique for Improving the Stability of Recommender Systems. - Gediminas Adomavicius; Jingjing Zhang 001 (RUE@RecSys, 2012)

Impact of data characteristics on recommender systems performance. - Gediminas Adomavicius; Jingjing Zhang 001 (ACM Trans. Manag. Inf. Syst., 2012)

Stability of Recommendation Algorithms. - Gediminas Adomavicius; Jingjing Zhang 001 (ACM Trans. Inf. Syst., 2012)

Do Recommender Systems Manipulate Consumer Preferences? A Study of Anchoring Effects. - Gediminas Adomavicius; Jesse C. Bockstedt; Shawn P. Curley; Jingjing Zhang 001 (Inf. Syst. Res., 2013)

Improving Stability of Recommender Systems: A Meta-Algorithmic Approach. - Gediminas Adomavicius; Jingjing Zhang 001 (IEEE Trans. Knowl. Data Eng., 2015)

Understanding Effects of Personalized vs. Aggregate Ratings on User Preferences. - Gediminas Adomavicius; Jesse C. Bockstedt; Shawn P. Curley; Jingjing Zhang 001 (IntRS@RecSys, 2016)

Classification, Ranking, and Top-K Stability of Recommendation Algorithms. - Gediminas Adomavicius; Jingjing Zhang 001 (INFORMS J. Comput., 2016)

Exploring Explanation Effects on Consumers' Trust in Online Recommender Agents. - Jingjing Zhang 001; Shawn P. Curley (Int. J. Hum. Comput. Interact., 2018)

Effects of Online Recommendations on Consumers' Willingness to Pay. - Gediminas Adomavicius; Jesse C. Bockstedt; Shawn P. Curley; Jingjing Zhang 001 (Inf. Syst. Res., 2018)

Reeducing Recommender System Biases: An Investigation of Rating Display Designs. - Gediminas Adomavicius; Jesse C. Bockstedt; Shawn P. Curley; Jingjing Zhang 001 (MIS Q., 2019)

Understanding the Impact of Individual Users' Rating Characteristics on the Predictive Accuracy of Recommender Systems. - Xiaoye Cheng; Jingjing Zhang 001; Lu Lucy Yan (INFORMS J. Comput., 2020)

Consumption and Performance: Understanding Longitudinal Dynamics of Recommender Systems via an Agent-Based Simulation Framework. - Jingjing Zhang 001; Gediminas Adomavicius; Alok Gupta; Wolfgang Ketter (Inf. Syst. Res., 2020)

Understanding Longitudinal Dynamics of Recommender Systems with Agent-Based Modeling and Simulation. - Gediminas Adomavicius; Dietmar Jannach; Stephan Leitner; Jingjing Zhang 001 (CoRR, 2021)

Effects of Personalized and Aggregate Top-N Recommendation Lists on User Preference Ratings. - Gediminas Adomavicius; Jesse C. Bockstedt; Shawn P. Curley; Jingjing Zhang 001 (ACM Trans. Inf. Syst., 2021)

Recommender Systems, Ground Truth, and Preference Pollution. - Gediminas Adomavicius; Jesse C. Bockstedt; Shawn P. Curley; Jingjing Zhang 001 (AI Mag., 2022)

Effects of Personalized Recommendations Versus Aggregate Ratings on Post-Consumption Preference Responses. - Gediminas Adomavicius; Jesse C. Bockstedt; Shawn P. Curley; Jingjing Zhang 001 (MIS Q., 2022)

Editorial: Some Thoughts on Reviewing for Information Systems Research and Other Leading Information Systems Journals. - Suprateek Sarker; Edgar A. Whitley; Khim-Yong Goh; Yili Kevin Hong; Magnus Mähring; Pallab Sanyal; Ning Su; Heng Xu; Jingjun (David) Xu; Jingjing Zhang 001; Huimin Zhao 003 (Inf. Syst. Res., 2023)

When Algorithms Err : Differential Impact of Early vs. Late Errors on Users' Reliance on Algorithms. - Antino Kim; Mochen Yang; Jingjing Zhang 001 (ACM Trans. Comput. Hum. Interact., 2023)

Longitudinal Impact of Preference Biases on Recommender Systems' Performance. - Meizi Zhou; Jingjing Zhang 001; Gediminas Adomavicius (Inf. Syst. Res., 2024)