[1] Li X, et al. A review of spectral feature extraction and multi-feature fusion methods in predicting soil organic carbon. Applied Spectroscopy Reviews. 2024, DOI10.1080/05704928.2024.2369570.（SCI一区）
[2] Li X, et al. Multi-scale spatial and spectral feature fusion for soil carbon content prediction based on hyperspectral images. Ecological Indicators. 2024, 160: 111843.（SCI二区）
[3] Li X, et al. Optimizing soil carbon content prediction performance by multi-band feature fusion based on visible near-infrared spectroscopy. Journal of Soils and Sediments. 2024, 24(3): 1333-1347.（SCI三区）
[4] Li X, et al. Soil Carbon Content Prediction Using Multi-source Data Feature Fusion of Deep Learning Based on Spectral and Hyperspectral Images. Chemosphere, 2023, 336, 139161.（SCI二区）
[5]Li X, et al. An overview of hyperspectral image feature extraction, classification methods and the methods based on small samples. Applied Spectroscopy Reviews, 2023, 58(6): 1-34.（SCI一区）
[6] Li X, et al. Hyperspectral images classification of small sample based on the strategy of sample enlargement by superpixel pair method. International Journal of Remote Sensing, 2023, 44(20): 6259-6279. SCI三区）
[7] Wang Z, Jia Z, Li X*, et al. Study on the rapid measurement of carbon content in marine sediments based on the model transfer of hyperspectral imaging camera and spectrometer. Results in Chemistry, 2023, 6, 101086 （SCI四区）
[8] 贾宗潮, 王子鉴, 李雪莹*, 等. 主成分分析和连续投影融合的海洋沉积物粒度分类研究. 光谱学与光谱分析, 2023, 10(20): 3075-3080.（SCI四区）
[9]李雪莹, 等. 小波变换的潮滩沉积物含水量预测. 光谱学与光谱分析, 2022, 42: 1156-1161.（SCI四区）
[10]Qiu H, Fan P, Hou G, Li X*, et al. Analysis and Model Comparison of Carbon and Nitrogen Concentrations in Sediments of the Yellow Sea and Bohai Sea by Visible-Near Infrared Spectroscopy. Bulletin of Environmental Contamination and Toxicology, 2022, 108(6): 1124-1131.（SCI四区）
[11] Li X, et al. Soil Classification Based on Deep Learning Algorithm and Visible Near-Infrared Spectroscopy. Journal of Spectroscopy, 2021, 1508267. （SCI四区）
[12] 李雪莹, 等. 实验室光谱仪与高光谱相机之间模型转移的研究. 分析化学, 2021, 49(9): 1580-1586.（SCI四区）
[13]李雪莹, 等. 多光谱融合的海洋沉积物碳含量检测. 光谱学与光谱分析, 2021, 41(9): 2898-2903.（（SCI四区）
[14] 李雪莹, 等. 可见-近红外光谱的模型转移分类方法. 光谱学与光谱分析, 2021, 41 (4): 1114-1118.（SCI四区）
[15] Li X, et al. Prediction of Soil Carbon and Nitrogen Content Using Hyperspectral Image with A New Feature Selection Algorithm. 2021 11th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2021, 1-5.（EI）
[16] Li X, et al. Study on the calibration transfer of soil nutrient concentration from the hyperspectral camera to the normal spectrometer. Journal of Spectroscopy, 2020, 8137142. （SCI四区）
[17]Li X, et al.Study on characteristic spectrum and multiple classifier fusion with different particle size in marine sediments. IEEE Access, 2020, 8: 157151-157160.（SCI三区）
[18] 李雪莹, 等. 多分类器融合提取土壤养分特征波长. 光谱学与光谱分析, 2019, 39 (9): 2862-2867.（SCI四区）
[19] Li X, et al. Prediction results of different modelling methods in soil nutrient concentrations based on spectral technology. Journal of Applied Spectroscopy, 2019, 86 (4): 765-770.（SCI四区）
[20] 李雪莹, 等. 可见-近红外光谱的土壤养分快速检测. 光谱学与光谱分析, 2017, 37(11): 3562-3566.（SCI四区）
[21] Li X, et al. Calibration transfer of soil total carbon and total nitrogen between two different types of soils based on visible-near infrared reflectance spectroscopy. Journal of Spectroscopy, 2018, 8513215.（SCI四区）
[22] 李雪莹, 等. 近红外光谱结合非负回归系数回归法(配方回归)解析混合样品的组成比例. 光谱学与光谱分析, 2016, 36(04): 63-67.（SCI四区）
