| A survey on deep learning for neuroimaging-based brain disorder analysis L Zhang, M Wang, M Liu, D Zhang Frontiers in neuroscience 14, 779, 2020 | 200 | 2020 |
| Pixel-level automatic annotation for forest fire image X Yang, R Chen, F Zhang, L Zhang, X Fan, Q Ye, L Fu Engineering Applications of Artificial Intelligence 104, 104353, 2021 | 36 | 2021 |
| Preferred vector machine for forest fire detection X Yang, Z Hua, L Zhang, X Fan, F Zhang, Q Ye, L Fu Pattern Recognition 143, 109722, 2023 | 32 | 2023 |
| Piecewise linear regression based on plane clustering X Yang, H Yang, F Zhang, L Zhang, X Fan, Q Ye, L Fu IEEE Access 7, 29845-29855, 2019 | 22 | 2019 |
| puma 3.0: improved uncertainty propagation methods for gene and transcript expression analysis X Liu, Z Gao, L Zhang, M Rattray BMC bioinformatics 14, 1-15, 2013 | 19 | 2013 |
| Improving deep learning-based cloud detection for satellite images with attention mechanism L Zhang, J Sun, X Yang, R Jiang, Q Ye IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 18 | 2021 |
| Improving RNA-Seq expression estimation by modeling isoform-and exon-specific read sequencing rate X Liu, X Shi, C Chen, L Zhang BMC bioinformatics 16, 1-13, 2015 | 17 | 2015 |
| Rsam-seg: A sam-based approach with prior knowledge integration for remote sensing image semantic segmentation J Zhang, X Yang, R Jiang, W Shao, L Zhang arXiv preprint arXiv:2402.19004, 2024 | 14 | 2024 |
| Individual tree segmentation and tree-counting using supervised clustering Y Wang, X Yang, L Zhang, X Fan, Q Ye, L Fu Computers and Electronics in Agriculture 205, 107629, 2023 | 12 | 2023 |
| AE-TPGG: a novel autoencoder-based approach for single-cell RNA-seq data imputation and dimensionality reduction S Zhao, L Zhang, X Liu Frontiers of Computer Science 17 (3), 173902, 2023 | 9 | 2023 |
| Graph convolutional networks via low-rank subspace for multi-site rs-fmri asd diagnosis L Zhang, JR Wang, Y Ma 2021 14th International Congress on Image and Signal Processing, BioMedical …, 2021 | 9 | 2021 |
| Recognition of disease genetic information from unstructured text data based on bilstm‐crf for molecular mechanisms L Gong, X Zhang, T Chen, L Zhang Security and Communication Networks 2021 (1), 6635027, 2021 | 9 | 2021 |
| CD-CTFM: A lightweight CNN-transformer network for remote sensing cloud detection fusing multiscale features W Ge, X Yang, R Jiang, W Shao, L Zhang IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2024 | 8 | 2024 |
| Modeling exon-specific bias distribution improves the analysis of RNA-Seq data X Liu, L Zhang, S Chen Plos one 10 (10), e0140032, 2015 | 8 | 2015 |
| Global superpixel-merging via set maximum coverage X Yang, Z Zhang, L Zhang, X Fan, Q Ye, L Fu Engineering Applications of Artificial Intelligence 127, 107212, 2024 | 7 | 2024 |
| Low-complexity beam selection scheme for high speed railway communications R Jiang, J Zhao, Y Xu, X Wang, L Zhang IEEE Access 8, 16022-16032, 2020 | 5 | 2020 |
| A comprehensive review on RNA-seq data analysis Z Li, L Xuejun Transactions of Nanjing University of Aeronautics & Astronautics 33 (3), 339-361, 2016 | 5 | 2016 |
| An improved probabilistic model for finding differential gene expression X Liu, L Zhang 2009 2nd International Conference on Biomedical Engineering and Informatics, 1-6, 2009 | 5 | 2009 |
| Adaptive Two-Index Fusion Attribute-Weighted Naive Bayes X Zhou, D Wu, Z You, D Wu, N Ye, L Zhang Electronics 11 (19), 3126, 2022 | 4 | 2022 |
| Detecting differential expression from RNA-seq data with expression measurement uncertainty L Zhang, S Chen, X Liu Frontiers of Computer Science 9, 652-663, 2015 | 4 | 2015 |
