Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning JK Tarus, Z Niu, G Mustafa Artificial intelligence review 50, 21-48, 2018 | 610 | 2018 |
A structural–functional basis for dyslexia in the cortex of Chinese readers WT Siok, Z Niu, Z Jin, CA Perfetti, LH Tan Proceedings of the National Academy of Sciences 105 (14), 5561-5566, 2008 | 362 | 2008 |
A hybrid knowledge-based recommender system for e-learning based on ontology and sequential pattern mining JK Tarus, Z Niu, A Yousif Future Generation Computer Systems 72, 37-48, 2017 | 335 | 2017 |
A hybrid recommendation algorithm adapted in e-learning environments W Chen, Z Niu, X Zhao, Y Li World Wide Web 17, 271-284, 2014 | 256 | 2014 |
A hybrid recommender system for e-learning based on context awareness and sequential pattern mining JK Tarus, Z Niu, D Kalui Soft Computing 22, 2449-2461, 2018 | 208 | 2018 |
An e-learning recommendation approach based on the self-organization of learning resource S Wan, Z Niu Knowledge-Based Systems 160, 71-87, 2018 | 167 | 2018 |
A hybrid e-learning recommendation approach based on learners’ influence propagation S Wan, Z Niu IEEE Transactions on Knowledge and Data Engineering 32 (5), 827-840, 2019 | 160 | 2019 |
Schedule of bad smell detection and resolution: A new way to save effort H Liu, Z Ma, W Shao, Z Niu IEEE transactions on Software Engineering 38 (1), 220-235, 2011 | 159 | 2011 |
Automatic construction of domain-specific sentiment lexicon based on constrained label propagation S Huang, Z Niu, C Shi Knowledge-Based Systems 56, 191-200, 2014 | 150 | 2014 |
Frequency-domain MLPs are more effective learners in time series forecasting K Yi, Q Zhang, W Fan, S Wang, P Wang, H He, N An, D Lian, L Cao, Z Niu Advances in Neural Information Processing Systems 36, 2024 | 143 | 2024 |
Learning new color names produces rapid increase in gray matter in the intact adult human cortex V Kwok, Z Niu, P Kay, K Zhou, L Mo, Z Jin, KF So, LH Tan Proceedings of the National Academy of Sciences 108 (16), 6686-6688, 2011 | 140 | 2011 |
Bayesian student modeling, user interfaces and feedback: A sensitivity analysis K Vanlehn, Z Niu International Journal of Artificial Intelligence in Education 12 (2), 154-184, 2001 | 128 | 2001 |
Heterogeneous teaching evaluation network based offline course recommendation with graph learning and tensor factorization Y Zhu, H Lu, P Qiu, K Shi, J Chambua, Z Niu Neurocomputing 415, 84-95, 2020 | 122 | 2020 |
A survey on sentiment analysis of scientific citations A Yousif, Z Niu, JK Tarus, A Ahmad Artificial Intelligence Review 52, 1805-1838, 2019 | 120 | 2019 |
Cross-language differences in the brain network subserving intelligible speech J Ge, G Peng, B Lyu, Y Wang, Y Zhuo, Z Niu, LH Tan, AP Leff, JH Gao Proceedings of the National Academy of Sciences 112 (10), 2972-2977, 2015 | 119 | 2015 |
Authorship identification from unstructured texts C Zhang, X Wu, Z Niu, W Ding Knowledge-Based Systems 66, 99-111, 2014 | 110 | 2014 |
Student modeling from conventional test data: A Bayesian approach without priors K VanLehn, Z Niu, S Siler, AS Gertner Intelligent Tutoring Systems: 4th International Conference, ITS’98 San …, 1998 | 109 | 1998 |
CNN with depthwise separable convolutions and combined kernels for rating prediction ZY Khan, Z Niu Expert Systems with Applications 170, 114528, 2021 | 99 | 2021 |
FourierGNN: Rethinking multivariate time series forecasting from a pure graph perspective K Yi, Q Zhang, W Fan, H He, L Hu, P Wang, N An, L Cao, Z Niu Advances in Neural Information Processing Systems 36, 2024 | 96 | 2024 |
A learner oriented learning recommendation approach based on mixed concept mapping and immune algorithm S Wan, Z Niu Knowledge-Based Systems 103, 28-40, 2016 | 95 | 2016 |