| Local linear discriminant analysis framework using sample neighbors Z Fan, Y Xu, D Zhang IEEE Transactions on Neural Networks 22 (7), 1119-1132, 2011 | 223 | 2011 |
| Using the idea of the sparse representation to perform coarse-to-fine face recognition Y Xu, Q Zhu, Z Fan, D Zhang, J Mi, Z Lai Information sciences 238, 138-148, 2013 | 167 | 2013 |
| Coarse to fine K nearest neighbor classifier Y Xu, Q Zhu, Z Fan, M Qiu, Y Chen, H Liu Pattern recognition letters 34 (9), 980-986, 2013 | 160 | 2013 |
| Supervised sparse representation method with a heuristic strategy and face recognition experiments Y Xu, W Zuo, Z Fan Neurocomputing 79, 125-131, 2012 | 110 | 2012 |
| Weighted sparse representation for face recognition Z Fan, M Ni, Q Zhu, E Liu Neurocomputing 151, 304-309, 2015 | 98 | 2015 |
| Locality and similarity preserving embedding for feature selection X Fang, Y Xu, X Li, Z Fan, H Liu, Y Chen Neurocomputing 128, 304-315, 2014 | 73 | 2014 |
| Modified principal component analysis: An integration of multiple similarity subspace models Z Fan, Y Xu, W Zuo, J Yang, J Tang, Z Lai, D Zhang IEEE transactions on neural networks and learning systems 25 (8), 1538-1552, 2014 | 67 | 2014 |
| A survey of crowd counting and density estimation based on convolutional neural network Z Fan, H Zhang, Z Zhang, G Lu, Y Zhang, Y Wang Neurocomputing 472, 224-251, 2022 | 65 | 2022 |
| Feature space-based human face image representation and recognition Y Xu, Z Fan, Q Zhu Optical Engineering 51 (1), 017205-017205, 2012 | 61 | 2012 |
| Virtual dictionary based kernel sparse representation for face recognition Z Fan, D Zhang, X Wang, Q Zhu, Y Wang Pattern Recognition 76, 1-13, 2018 | 49 | 2018 |
| A sparse representation method of bimodal biometrics and palmprint recognition experiments Y Xu, Z Fan, M Qiu, D Zhang, JY Yang Neurocomputing 103, 164-171, 2013 | 49 | 2013 |
| Manifold discriminant regression learning for image classification Y Lu, Z Lai, Z Fan, J Cui, Q Zhu Neurocomputing 166, 475-486, 2015 | 41 | 2015 |
| From the idea of “sparse representation” to a representation-based transformation method for feature extraction Y Xu, Q Zhu, Z Fan, Y Wang, JS Pan Neurocomputing 113, 168-176, 2013 | 40 | 2013 |
| Weighted principal component analysis Z Fan, E Liu, B Xu Artificial Intelligence and Computational Intelligence: Third International …, 2011 | 32 | 2011 |
| An effective lunar crater recognition algorithm based on convolutional neural network S Wang, Z Fan, Z Li, H Zhang, C Wei Remote Sensing 12 (17), 2694, 2020 | 29 | 2020 |
| Appearance-based bidirectional representation for palmprint recognition J Cui, J Wen, Z Fan Multimedia Tools and Applications 74, 10989-11001, 2015 | 28 | 2015 |
| L0-norm sparse representation based on modified genetic algorithm for face recognition Z Fan, M Ni, Q Zhu, C Sun, L Kang Journal of Visual Communication and Image Representation 28, 15-20, 2015 | 27 | 2015 |
| Individualized learning for improving kernel Fisher discriminant analysis Z Fan, Y Xu, M Ni, X Fang, D Zhang Pattern Recognition 58, 100-109, 2016 | 22 | 2016 |
| Real time power equipment meter recognition based on deep learning Z Fan, L Shi, C Xi, H Wang, S Wang, G Wu IEEE Transactions on Instrumentation and Measurement 71, 1-15, 2022 | 21 | 2022 |
| An efficient KPCA algorithm based on feature correlation evaluation Z Fan, J Wang, B Xu, P Tang Neural Computing and Applications 24, 1795-1806, 2014 | 17 | 2014 |
