| Interactive image segmentation by maximal similarity based region merging J Ning, L Zhang, D Zhang, C Wu Pattern Recognition 43 (2), 445-456, 2010 | 607 | 2010 |
| Robust mean-shift tracking with corrected background-weighted histogram J Ning, L Zhang, D Zhang, C Wu IET computer vision 6 (1), 62-69, 2012 | 304 | 2012 |
| Robust object tracking using joint color-texture histogram J Ning, L Zhang, D Zhang, C Wu International Journal of Pattern Recognition and Artificial Intelligence 23 …, 2009 | 302 | 2009 |
| Object tracking via dual linear structured SVM and explicit feature map J Ning, J Yang, S Jiang, L Zhang, MH Yang Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 292 | 2016 |
| Scale and orientation adaptive mean shift tracking J Ning, L Zhang, D Zhang, C Wu IET Computer Vision 6 (1), 52-61, 2012 | 191 | 2012 |
| Predicting the anthocyanin content of wine grapes by NIR hyperspectral imaging S Chen, F Zhang, J Ning, X Liu, Z Zhang, S Yang Food Chemistry 172, 788-793, 2015 | 136 | 2015 |
| NGVF: An improved external force field for active contour model N Jifeng, W Chengke, L Shigang, Y Shuqin Pattern Recognition Letters 28 (1), 58-63, 2007 | 123 | 2007 |
| Identifying sunflower lodging based on image fusion and deep semantic segmentation with UAV remote sensing imaging Z Song, Z Zhang, S Yang, D Ding, J Ning Computers and electronics in agriculture 179, 105812, 2020 | 85 | 2020 |
| Automatic tongue image segmentation based on gradient vector flow and region merging J Ning, D Zhang, C Wu, F Yue Neural Computing and Applications 21, 1819-1826, 2012 | 85 | 2012 |
| Determination of total iron-reactive phenolics, anthocyanins and tannins in wine grapes of skins and seeds based on near-infrared hyperspectral imaging N Zhang, X Liu, X Jin, C Li, X Wu, S Yang, J Ning, P Yanne Food Chemistry 237, 811-817, 2017 | 64 | 2017 |
| Diagnosis of winter-wheat water stress based on UAV-borne multispectral image texture and vegetation indices Y Zhou, C Lao, Y Yang, Z Zhang, H Chen, Y Chen, J Chen, J Ning, ... Agricultural Water Management 256, 107076, 2021 | 60 | 2021 |
| Hyperspectral Image Restoration via Global L1-2 Spatial–Spectral Total Variation Regularized Local Low-Rank Tensor Recovery H Zeng, X Xie, H Cui, H Yin, J Ning IEEE transactions on geoscience and remote sensing 59 (4), 3309-3325, 2020 | 55 | 2020 |
| Predicting the contents of soil salt and major water-soluble ions with fractional-order derivative spectral indices and variable selection C Lao, J Chen, Z Zhang, Y Chen, Y Ma, H Chen, X Gu, J Ning, J Jin, X Li Computers and Electronics in Agriculture 182, 106031, 2021 | 53 | 2021 |
| 玉米籽粒的尖端和胚部的计算机视觉识别 宁纪锋， 何东健， 杨蜀秦 农业工程学报 20 (3), 117-119, 2004 | 52 | 2004 |
| 农业自动化领域中计算机视觉技术的应用 何东健， 张海亮， 宁纪锋， 龙满生 农业工程学报 18 (2), 171-175, 2002 | 47 | 2002 |
| Genomic insights into the phylogeny and biomass-degrading enzymes of rumen ciliates Z Li, X Wang, Y Zhang, Z Yu, T Zhang, X Dai, X Pan, R Jing, Y Yan, Y Liu, ... The ISME Journal 16 (12), 2775-2787, 2022 | 41 | 2022 |
| Joint Registration and Active Contour Segmentation for Object Tracking J Ning, L Zhang, D Zhang, W Yu IEEE Transactions on Circuits and Systems for Video Technology 23 (9), 1589 …, 2013 | 41 | 2013 |
| Hyperspectral image denoising via global spatial-spectral total variation regularized nonconvex local low-rank tensor approximation H Zeng, X Xie, J Ning Signal processing 178, 107805, 2021 | 40 | 2021 |
| Mapping plastic mulched farmland for high resolution images of unmanned aerial vehicle using deep semantic segmentation Q Yang, M Liu, Z Zhang, S Yang, J Ning, W Han Remote Sensing 11 (17), 2008, 2019 | 35 | 2019 |
| Visual recognition of cherry tomatoes in plant factory based on improved deep instance segmentation P Xu, N Fang, N Liu, F Lin, S Yang, J Ning Computers and Electronics in Agriculture 197, 106991, 2022 | 34 | 2022 |
