The LISS - A Public Database of Common Imaging Signs of Lung Diseases for Computer-Aided Detection and Diagnosis Research and Medical Education. - Guanghui Han; Xiabi Liu; Feifei Han; I. Nyoman Tenaya Santika; Yanfeng Zhao; Xinming Zhao; Chunwu Zhou (IEEE Trans. Biomed. Eng., 2015)

Factors Affecting Customer Satisfaction and Intentions to Adopt m-Service in China. - Fahad Asmi; Rongting Zhou; Tongliang He; Feifei Han (ICEBE, 2016)

Exploring the relation between self-regulation, online activities, and academic performance: a case study. - Abelardo Pardo; Feifei Han; Robert A. Ellis (LAK, 2016)

Quality in blended learning environments - Significant differences in how students approach learning collaborations. - Robert A. Ellis; Abelardo Pardo; Feifei Han (Comput. Educ., 2016)

Improving Learning Analytics - Combining Observational and Self-Report Data on Student Learning. - Robert A. Ellis; Feifei Han; Abelardo Pardo (J. Educ. Technol. Soc., 2017)

Combining University Student Self-Regulated Learning Indicators and Engagement with Online Learning Events to Predict Academic Performance. - Abelardo Pardo; Feifei Han; Robert A. Ellis (IEEE Trans. Learn. Technol., 2017)

Service Proactive Caching Based Computation Offloading for Mobile Edge Computing. - Zhaokun Zhou; Feifei Han (WCSP, 2019)

Identifying consistent patterns of quality learning discussions in blended learning. - Feifei Han; Robert A. Ellis (Internet High. Educ., 2019)

When Does Collaboration Lead to Deeper Learning? Renewed Definitions of Collaboration for Engineering Students. - Robert A. Ellis; Feifei Han; Abelardo Pardo (IEEE Trans. Learn. Technol., 2019)

FastMM: an efficient toolbox for personalized constraint-based metabolic modeling. - Gong-Hua Li; Shaoxing Dai; Feifei Han; Wenxin Li 002; Jingfei Huang; Wenzhong Xiao (BMC Bioinform., 2020)

Diagnosis of Asthma Based on Routine Blood Biomarkers Using Machine Learning. - Jun Zhan; Wen Chen; Longsheng Cheng; Qiong Wang; Feifei Han; Yubao Cui (Comput. Intell. Neurosci., 2020)

Students' self-report and observed learning orientations in blended university course design: How are they related to each other and to academic performance? - Feifei Han; Abelardo Pardo; Robert A. Ellis (J. Comput. Assist. Learn., 2020)

Correction to: FastMM: an efficient toolbox for personalized constraint-based metabolic modeling. - Gong-Hua Li; Shaoxing Dai; Feifei Han; Wenxin Li 002; Jingfei Huang; Wenzhong Xiao (BMC Bioinform., 2020)

The Descriptive Features and Quantitative Aspects of Students' Observed Online Learning: How Are They Related to Self-Reported Perceptions and Learning Outcomes? - Feifei Han; Robert A. Ellis; Abelardo Pardo (IEEE Trans. Learn. Technol., 2022)

Using Large Language Models to Provide Explanatory Feedback to Human Tutors. - Jionghao Lin; Danielle R. Thomas; Feifei Han; Shivang Gupta; Wei Tan; Ngoc Dang Nguyen; Kenneth R. Koedinger (Human-AI Math Tutoring@AIED, 2023)

Patterns of students' collaborations by variations in their learning orientations in blended course designs: How is it associated with academic achievement? - Feifei Han; Robert A. Ellis; Enjing Guan (J. Comput. Assist. Learn., 2023)

The relations between self-reported perceptions of learning environment, observational learning strategies, and academic outcome. - Feifei Han; Robert A. Ellis (J. Comput. High. Educ., 2023)

Self-reported and digital-trace measures of computer science students' self-regulated learning in blended course designs. - Feifei Han; Robert A. Ellis (Educ. Inf. Technol., 2023)

Phase Encoding of Fractional Orbital Angular Momentum for high-capacity Optical Communication. - Jialong Zhu; Feifei Han; Le Wang; Shengmei Zhao (ICC Workshops, 2024)

Advancements in Q-learning meta-heuristic optimization algorithms: A survey. - Yang Yang 052; Yuchao Gao; Zhe Ding; Jinran Wu; Shaotong Zhang; Feifei Han; Xuelan Qiu; Shangce Gao; You-Gan Wang (WIREs Data. Mining. Knowl. Discov., 2024)

The profiles of Chinese university students' learning experience in flipped classrooms: combining the self-reported and process data. - Feifei Han (Interact. Learn. Environ., 2024)

Cracking the AI recruitment code: Striving for transparency in finding the right person-job fit. - Aihui Chen; Feifei Han; Xinyi Zhang; Yaobin Lu (Inf. Manag., 2025)

Factors influencing behavioral intention to use e-learning in higher education during the COVID-19 pandemic: A meta-analytic review based on the UTAUT2 model. - Hao Zheng; Feifei Han; Yi Huang; Yonghe Wu; Xinyi Wu (Educ. Inf. Technol., 2025)

Integrating CALL and AIALL for an interactive pedagogical model of language learning. - Akbar Bahari; Feifei Han; Artur Strzelecki (Educ. Inf. Technol., 2025)