第一与通信作者：
(1) Xiaojun Li, Yide Ma*, Zhaobin Wang, Wenrui Yu, Geometry-Invariant Texture Retrieval Using a Dual-Output Pulse-Coupled Neural Network. Neural Computation. 2012, 24(1):194-216 (SCI)
(2) Xiaojun Li, Yide Ma*, Xiaowen Feng, Self-adaptive autowave pulse-coupled neural network for shortest-path problem. Neurocomputing. 2013, 115:63-71 (SCI)
(3) Xiaojun Li,Haowen Yan*, Weiying Xie, Lu Kang, Yi Tian, 2020, An improved pulse-coupled neural network model for pansharpening. Sensors, 20(10), 2764-2783 (SCI)
(4) Xiaojun Li, Jiuwen Zhang*, Yide Ma, Texture Classification Using Combined Rotation and Scale Invariant Gabor Features. Journal of Computational Information Systems. 2011 7(12):4241-4253(EI)
(5) Li Xiaojun, Yan Haowen*, Yang Shuwen, Kang Lu, Lu Xiaoming, Multispectral pansharpening approach using pulse-coupled neural network segmentation. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., 2018, Beijing, P.R. China, 1: 961-965 (EI会议,oral)
(6) 李小军，闫浩文*，杨树文，牛丽峰. 一种多光谱遥感影像与航拍影像融合算法，遥感信息，2019，34(4),11-15.(CSCD)
(7) Xu, X.; X. J. Li*; Li, Y.; Kang, L.; Ge, J. A Novel Adaptively Optimized PCNN Model for Hyperspectral Image Sharpening.Remote Sens. 2023, 15, 4205.(SCI)
(8) 李强强，李小军*.自适应膨胀和结构嵌入的非对称哈希遥感图像检索算法.地球信息科学学报,2024, 26(8)(EI)
(9) H. T. Zhao, X. J. Li*, Y. K. Li,J. F. Ge,X. Y. Xu, 2022, A novel adaptive remote sensing pansharpening algorithm based on the ICM, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 1: 97-102 (EI会议)
(10) J. F. Ge, Y. S. Zhang, X. J. Li*, H. Li, Y. K. Li, 2022, A novel remote sensing image registration algorithm based on the adaptive PCNN segmentation, ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 1: 17-22 (EI会议)
(11) 徐欣钰, 李小军*, 赵鹤婷, 盖钧飞, 2022, NSCT和PCNN相结合的遥感图像全色锐化算法[J/OL], 自然资源遥感. (CSCD)
(12) 盖钧飞, 李小军*, 赵鹤婷, 徐欣钰, 2023, 结合脉冲耦合神经网络的自适应全色锐化算法, 测绘科学, 48(1)：60-69.(CSCD)
(13) 赵鹤婷,李小军*,徐欣钰.基于ICM的高光谱图像自适应全色锐化算法[J].自然资源遥感, 2024, 36(2):97-104.(CSCD)
著作：
(1) 李小军.多源遥感影像融合.2024,电子工业出版社.
专利：
(1) 李小军,禄小敏,杨树文,闫浩文.一种用于遥感影像融合的改进交叉皮质神经网络模型，专利号：ZL 201910090285.5
(2) 杨树文,李小军,闫浩文,禄小敏.一种基于交叉皮质模型的SAR图像融合方法，专利号：ZL 201910129097.9
(3) 闫浩文、禄小敏、刘涛、李小军、康路.一种基于改进脉冲耦合神经网络的网络加权Voronoi图构建方法，专利号：ZL201811190242.6
参与作者：
(1) Y. Li, X. Li, J. Song, Z. Wang, Y. He and S. Yang, 2023,Remote-Sensing-Based Change Detection Using Change Vector Analysis in Posterior Probability Space: A Context-Sensitive Bayesian Network Approach, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16, 3198-3217, (SCI)
(2) Filonchyk Mikalai, Yan Haowen,Li Xiaojun, 2018, Temporal and spatial variation of particulate matter and its correlation with other criteria of air pollutants in Lanzhou, China, in spring-summer periods. Atmospheric Pollution Research. 9 (6), 1100-1110 (SCI)
(3) Lu, X. , Yan, H. , Li, W. ,Li, X., & Wu, F., 2019. An algorithm based on the weighted network voronoi diagram for point cluster simplification. International Journal of Geo-Information, 8(3), 105.(SCI)
(4) Lifeng Niu, Guochang Xu, Hermann Kaufmann, Xiaojun Li, 2022, An advanced algorithm for fusing Gaofen multispectral satellite data with drone imagery, International Journal of Remote Sensing, 43(9)：3163-3189.(SCI)
(5) Jiuwen Zhang,Xiaojun Li, Yide Ma. Discriminating Structure and Random Texture Images with Binary Fourier Spectrum for Invariant Texture Retrieval. 2009 Asia-Pacific Conference on Information Processing. (EI会议)
(6) G. P. Gao, M. Li, S. F. Niu,X. J. Li, B. N. Li and J. S. Zhang. Study of a Novel Wideband Circular Slot Antenna Having Frequency Band-Notched Function. Progress in Electromagnetics Research. (SCI)
(7) 马义德,冯晓文,绽琨,赵荣昌,李小军.预防性反馈PCNN模型及在组合优化问题中的应用.电子科技大学学报. 2013 (EI)
(8) 黄钰涵、闫浩文、李小军、吴小所、王卓.乌鲁木齐市遥感生态距离指数变化监测与评价.遥感信息,2019,34(06):72-77.(CSCD)
(9) 牛丽峰,李轶鲲,杨树文,李小军.无人机航片和卫星影像融合算法[J].遥感信息, 2019.34(4),74-78.(CSCD)
(10) 王子浩,李轶鲲,李小军,杨树文,2022, 基于空间模糊C均值聚类和贝叶斯网络的抗噪声遥感图像变化检测[J/OL], 自然资源遥感.(CSCD)
