Student rules: Exploring patterns of students’ computer-efficacy and engagement with digital technologies in learning SK Howard, J Ma, J Yang Computers & Education 101, 29-42, 2016 | 174 | 2016 |
Data mining in educational technology classroom research: Can it make a contribution? C Angeli, SK Howard, J Ma, J Yang, PA Kirschner Computers & Education 113, 226-242, 2017 | 161 | 2017 |
What to teach? Strategies for developing digital competency in preservice teacher training SK Howard, J Tondeur, J Ma, J Yang Computers & Education 165, 104149, 2021 | 143 | 2021 |
Breast cancer data analysis for survivability studies and prediction N Shukla, M Hagenbuchner, KT Win, J Yang Computer methods and programs in biomedicine 155, 199-208, 2018 | 120 | 2018 |
One-size does not fit all: Towards an adaptive model to develop preservice teachers’ digital competencies J Tondeur, SK Howard, J Yang Computers in Human Behavior 116, 106659, 2021 | 82 | 2021 |
Feed-forward neural network training using sparse representation J Yang, J Ma Expert Systems with Applications 116, 255-264, 2019 | 82 | 2019 |
Mining Chinese social media UGC: a big-data framework for analyzing Douban movie reviews J Yang, B Yecies Journal of Big Data 3, 1-23, 2016 | 54 | 2016 |
Multiple-measurement vector model and its application to through-the-wall radar imaging J Yang, A Bouzerdoum, FHC Tivive, MG Amin 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 41 | 2011 |
Industrial IoT intrusion detection via Evolutionary cost-sensitive learning and Fog computing A Telikani, J Shen, J Yang, P Wang IEEE Internet of Things Journal 9 (22), 23260-23271, 2022 | 34 | 2022 |
Working the system: Development of a system model of technology integration to inform learning task design SK Howard, K Thompson, J Yang, J Ma British Journal of Educational Technology 50 (1), 326-341, 2017 | 33 | 2017 |
A training algorithm for sparse LS-SVM using compressive sampling J Yang, A Bouzerdoum, SL Phung 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 31 | 2010 |
App clusters: Exploring patterns of multiple app use in primary learning contexts SK Howard, J Yang, J Ma, K Maton, E Rennie Computers & Education 127, 154-164, 2018 | 29 | 2018 |
The impact of electronic health records on risk management of information systems in Australian residential aged care homes T Jiang, P Yu, D Hailey, J Ma, J Yang Journal of medical systems 40, 1-7, 2016 | 29 | 2016 |
A structure optimization framework for feed-forward neural networks using sparse representation J Yang, J Ma Knowledge-Based Systems 109, 61-70, 2016 | 23 | 2016 |
Using Data Mining and Machine Learning Approaches to Observe Technology-Enhanced Learning SK Howard, J Yang, J Ma, C Ritz, J Zhao, K Wynne 2018 IEEE International Conference on Teaching, Assessment, and Learning for …, 2019 | 21 | 2019 |
The Douban online social media barometer and the Chinese reception of Korean popular culture flows B Yecies, J Yang, AG Shim, KR Soh, MJ Berryman Participations: journal of audience and reception studies 13, 114 - 138, 2016 | 20 | 2016 |
Characteristics of chinese online movie reviews and opinion leadership identification J Yang, B Yecies, PY Zhong International Journal of Human–Computer Interaction 36 (3), 211-226, 2020 | 18 | 2020 |
Privacy and app use in Australian primary schools: insights into school-based Internet governance E Rennie, K Schmieder, J Thomas, SK Howard, J Ma, J Yang Media International Australia, 1-12, 2019 | 18 | 2019 |
A neural network pruning approach based on compressive sampling J Yang, A Bouzerdoum, SL Phung 2009 International Joint Conference on Neural Networks, 3428-3435, 2009 | 17 | 2009 |
A structure optimization algorithm of neural networks for large-scale data sets J Yang, J Ma, M Berryman, P Perez 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 956-961, 2014 | 16 | 2014 |