| Benchmarking robustness of load forecasting models under data integrity attacks J Luo, T Hong, SC Fang International Journal of Forecasting 34 (1), 89-104, 2018 | 138 | 2018 |
| Real-time anomaly detection for very short-term load forecasting J Luo, T Hong, M Yue Journal of Modern Power Systems and Clean Energy 6 (2), 235-243, 2018 | 88 | 2018 |
| Unsupervised quadratic surface support vector machine with application to credit risk assessment J Luo, X Yan, Y Tian European Journal of Operational Research 280 (3), 1008-1017, 2020 | 77 | 2020 |
| Robust regression models for load forecasting J Luo, T Hong, SC Fang IEEE Transactions on Smart Grid 10 (5), 5397-5404, 2018 | 62 | 2018 |
| A new approach for reject inference in credit scoring using kernel-free fuzzy quadratic surface support vector machines Y Tian, Z Yong, J Luo Applied Soft Computing 73, 96-105, 2018 | 58 | 2018 |
| A new fuzzy set and nonkernel SVM approach for mislabeled binary classification with applications Y Tian, M Sun, Z Deng, J Luo, Y Li IEEE Transactions on Fuzzy Systems 25 (6), 1536-1545, 2017 | 40 | 2017 |
| Soft quadratic surface support vector machine for binary classification J Luo, SC Fang, Z Deng, X Guo Asia-Pacific Journal of Operational Research 33 (06), 1650046, 2016 | 39 | 2016 |
| A kernel-free double well potential support vector machine with applications Z Gao, SC Fang, J Luo, N Medhin European Journal of Operational Research 290 (1), 248-262, 2021 | 37 | 2021 |
| A novel kernel-free least squares twin support vector machine for fast and accurate multi-class classification Z Gao, SC Fang, X Gao, J Luo, N Medhin Knowledge-Based Systems 226, 107123, 2021 | 32 | 2021 |
| A robust support vector regression model for electric load forecasting J Luo, T Hong, Z Gao, SC Fang International Journal of Forecasting 39 (2), 1005-1020, 2023 | 28 | 2023 |
| Fuzzy quadratic surface support vector machine based on fisher discriminant analysis J Luo, SC Fang, Y Bai, Z Deng Journal of Industrial and Management Optimization 12 (1), 357-373, 2016 | 28 | 2016 |
| A kernel-free quadratic surface support vector machine for semi-supervised learning X Yan, Y Bai, SC Fang, J Luo Journal of the Operational Research Society 67, 1001-1011, 2016 | 23 | 2016 |
| A proximal quadratic surface support vector machine for semi-supervised binary classification X Yan, Y Bai, SC Fang, J Luo Soft Computing 22, 6905-6919, 2018 | 20 | 2018 |
| An analysis of port congestion alleviation strategy based on system dynamics H Lin, W Zeng, J Luo, G Nan Ocean & coastal management 229, 106336, 2022 | 17 | 2022 |
| A new branch-and-bound approach to semi-supervised support vector machine Y Tian, J Luo Soft computing 21 (1), 245-254, 2017 | 17 | 2017 |
| Clustering via fuzzy one-class quadratic surface support vector machine J Luo, Y Tian, X Yan Soft Computing 21, 5859-5865, 2017 | 12 | 2017 |
| A kernel-free fuzzy reduced quadratic surface ν-support vector machine with applications Z Gao, Y Wang, M Huang, J Luo, S Tang Applied Soft Computing 127, 109390, 2022 | 11 | 2022 |
| Novel non-Kernel quadratic surface support vector machines based on optimal margin distribution J Zhou, Y Tian, J Luo, Q Zhai Soft Computing 26 (18), 9215-9227, 2022 | 8 | 2022 |
| Comparison of an L1-regression-based and a RANSAC-based planar segmentation procedure for urban terrain data with many outliers J Luo, Z Deng, D Bulatov, JE Lavery, SC Fang Image and Signal Processing for Remote Sensing XIX 8892, 57-67, 2013 | 7 | 2013 |
| Fake review detection system for online E-commerce platforms: A supervised general mixed probability approach J Luo, J Luo, G Nan, D Li Decision Support Systems 175, 114045, 2023 | 6 | 2023 |
