[1.]Yong Xue, Xingwei He, Gerrit de Leeuw, Linlu Mei, Yahui Che, Wayne Rippin, Jie Guang, Yincui Hu, 2017, Long-time series aerosol optical depth retrieval from AVHRR data over land in North China and Central Europe. Remote Sensing of Environment, Vol. 198, Pages 471 - 489. (DOI:10.1016/j.rse.2017.06.036) (Impact Factor: 6.265)
[2.]Lu She, Linlu Mei, Yong Xue, Yahui Che, Jie Guang, 2017, SAHARA: a Simplified AtmospHeric correction AlgoRithm for Chinese gAofen data: 1. Aerosol algorithm. Remote Sensing, 9(3), 253; (doi:10.3390/rs9030253) (Impact Factor 3.036)
[3.]Jia Liu, Longli Liu, Yong Xue, Jing Dong, Yincui Hu, Richard Hill, Jie Guang and Chi Li, 2017, Grid Workflow Validation Using Ontology-Based Tacit Knowledge: A Case Study for Quantitative Remote Sensing Applications, Computers and Geosciences, Volume 98, January 2017, Pages 46–54. (http://dx.doi.org/10.1016/j.cageo.2016.10.002) (IF: 2.474)
[4.]Che, Y., Xue, Y., Mei, L., Guang, J., She, L., Guo, J., Hu, Y., Xu, H., He, X., Di, A., and Fan, C.: Technical note: Intercomparison of three AATSR Level 2 (L2) AOD products over China, Atmos. Chem. Phys., 16, 9655-9674, doi:10.5194/acp-16-9655-2016, 2016. (IF: 5.114)
[5.]Di, Aojie; Xue, Yong; Yang, Xihua; Leys, John; Guang, Jie; Mei, Linlu; Wang, Jingli; She, Lu; Hu, Yincui; He, Xingwei; Che, Yahui; Fan, Cheng, 2016, Dust Aerosol Optical Depth Retrieval and Dust Storm Detection for Xinjiang Region Using Indian National Satellite Observations. Remote Sensing, vol. 8, no. 9: 702. (doi:10.3390/rs8090702) (IF: 3.036)
[6.]Jia Liu, Dustin Feld, Yong Xue, Jochen Garcke, Thomas Soddemann, Peiyuan Pan, 2016, An efficient geosciences workflow on multi-core processors and GPUs: a case study for Aerosol Optical Depth retrieval from MODIS satellite data. International Journal of Digital Earth, (DOI: 10.1080/17538947.2015.1130087) (IF: 3.291)
[7.]H. Xu, J. Guang,Y. Xue, Gerrit de Leeuw, Y. H. Che, Jianping Guo, X.W. He, T.K. Wang, 2015, A Consistent Aerosol Optical Depth (AOD) Dataset over Mainland China by Integration of Several AOD Products. Atmospheric Environment. Volume 114, August 2015, Pages 48–56. (doi: 10.1016/j.atmosenv.2015.05.023) (IF: 3.281)
[8.]Chi Li, Yong Xue, Quanhua Liu, Karim Ouazzane, and Jiahua Zhang, 2015, Using SeaWiFS Measurements to Evaluate Radiometric Stability of Pseudo-invariant Calibration Sites. IEEE Geoscience and Remote Sensing Letters, 12(1), pp. 125-129. (DOI: 10.1109/LGRS.2014.2329138) (IF: 2.095)
[9.]J. Liu, D. Feld, Y. Xue, J. Garcke, and T. Soddemann, 2015, "Multicore Processors and Graphics Processing Unit Accelerators for Parallel Retrieval of Aerosol Optical Depth From Satellite Data: Implementation, Performance, and Energy Efficiency”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Volume: 8, Issue: 5, Page(s):2306 – 2317. (doi: 10.1109/JSTARS.2015.2438893) (IF: 3.026)
[10.]Mei, L., Xue, Y., Kokhanovsky, A. A., von Hoyningen-Huene, W., de Leeuw, G., and Burrows, J.P.: Retrieval of aerosol optical depth over land surfaces from AVHRR data, 2014, Atmospheric Measurement Techniques, 7, 2411–2420. (doi:10.5194/amt-7-1-2014) (IF: 2.929)
[11.]Chi Li, Yong Xue, Quanhua Liu, Jie Guang, Xingwei He, Jiahua Zhang, Tingkai Wang, Xinjie Liu, 2014, Post Calibration of Channels 1 and 2 of Long-term AVHRR Data Record Based on SeaWiFS Data and Pseudo-invariant Targets. Remote Sensing of Environment, Vol. 150, Pages 104–119. (DOI: 10.1016/j.rse.2014.04.020). (IF: 6.393)
[12.]Yong Xue, Xingwei He, Hui Xu, Jie Guang, Jianping Guo, and Linlu Mei, 2014, CHINA COLLECTION 2.0: The Aerosol Optical Depth Dataset from the Synergetic Retrieval of Aerosol Properties Algorithm. Atmospheric Environment, Volume 95, Pages 45–58. (DOI: 10.1016/j.atmosenv.2014.06.019) (IF: 3.281)
[13.]Chi Li, Yong Xue, Wolfgang von Hoyningen-Huene, Jiahua Zhang, Peiyuan Pan, 2014, Quantitative Evaluation of Uncertainties in Satellite Retrieval of Dust-like Aerosols Induced by Spherical Assumption. Journal of Quantitative Spectroscopy and Radiative Transfer, 136, 45–57. (DOI:10.1016/j.jqsrt.2014.01.003) (IF: 2.645)
[14.]Leiku Yang, Yong Xue, Jie Guang, Hassan Kazemian, Jiahua Zhang, and Chi Li, 2014, Improved Aerosol Optical Depth and ?ngstrom Exponent Retrieval over Land from MODIS Based on the Non-Lambertian Forward Model. IEEE Geoscience and Remote Sensing Letters, Vol. 11, No. 9, September 2014, 1629-1633. (DOI: 10.1109/LGRS.2014.2303317). (IF: 2.095)
[15.]Linlu Mei, Yong Xue, Gerrit de Leeuw, Wolfgang von Hoyningen-Huene, Alexander A. Kokhanovsky, Larysa Istomina, Jie Guang, John P. Burrows, 2013, Aerosol optical depth retrieval in the Arctic region using MODIS data over snow. Remote Sensing of Environment, Volume 128, 21 January 2013, Pages 234–245. (DOI: 10.1016/j.rse.2012.10.009) (IF: 4.574)
[16.]Yingjie Li, Yong Xue, Gerrit de Leeuw, Chi Li, Leiku Yang, Tingting Hou, Farhi Marir, 2013, Retrieval of Aerosol Optical Depth and Surface Reflectance over Land from NOAA AVHRR Data. Remote Sensing of Environment. Volume 133, 15 June 2013, Pages 1–20. (DOI: 10.1016/j.rse.2013.01.020) (IF: 4.574)
[17.]Linlu Mei, Yong Xue, Alexander A. Kokhanovsky, Wolfgang von Hoyningen-Huene, Larysa Istomina, Gerrit de Leeuw, John P. Burrows, Jie Guang, 2013, Aerosol optical depth retrieval over snow using AATSR data. International Journal of Remote Sensing. (Accepted)
[18.]Mei, L., Xue, Y., de Leeuw, G., Holzer-Popp, T., Guang, J., Li, Y., Yang, L., Xu, H., Xu, X., Li, C., Wang, Y., Wu, C., Hou, T., He, X., Liu, J., Dong, J., and Chen, Z., 2012, Retrieval of aerosol optical depth over land based on a time series technique using MSG/SEVIRI data, Atmospheric Chemistry and Physics, 12, 9167-9185. (IF: 5.520)
[19.]Yong Xue, Xiaowen Li, Zengyuan Li and Cunxiang Cao, 2012, Prior Knowledge Based Retrieval and Validation of Information from Remote Sensing Data at Various Scales. International Journal of Remote Sensing. 33(3), pp. 665-673.
[20.]Yingjie Li, Yong Xue, Xingwei He, Jie Guang, 2012, High-Resolution Aerosol Remote Sensing Retrieval over Urban Areas by Synergetic use of HJ-1 CCD and MODIS Data. Atmospheric Environment, 46, 173-180. (DOI: 10.1016/j.atmosenv.2011.10.002)
[21.]Linlu Mei, Yong Xue, Hui Xu, Jie Guang, Yingjie Li, Ying Wang, Jianwen Ai , Yang Qi, Shuzheng Jiang, Xingwei He, 2012, Validation and analysis of aerosol optical thickness retrieval over land. International Journal of Remote Sensing. 33(3), 781-803. (IF: 1.117)
[22.]Ying Wang, Yong Xue, Yingjie Li, Jie Guang, Linlu Mei, Hui Xu and Jianwen Ai, 2012, Prior knowledge supported aerosol optical depth retrieval over land surface at 500m spatial resolution with MODIS data. International Journal of Remote Sensing. 33(3), pp.674-691.
[23.] J. Guang, Y. Xue, Y. J. Li, S. L. Liang, L.L. Mei and H. Xu, 2012, Retrieval of Aerosol Optical Depth over Bright Land Surfaces by Coupling Bidirectional Reflectance Distribution Function Model and Aerosol Retrieval Model. Remote Sensing Letter, 3 (7), 577-584. (10.1080/01431161.2011.642322)
[24.] Mei, L., Xue, Y., de Leeuw, G., Guang, J., Wang, Y., Li, Y., Xu, H., Yang, L., Hou, T., He, X., Wu, C., Dong, J., and Chen, Z., 2011: Integration of remote sensing data and surface observations to estimate the impact of the Russian wildfires over Europe and Asia during August 2010, Biogeosciences, 8, 3771–3791. (doi:10.5194/bg-8-3771-2011) (IF: 3.859)
[25.] Yong Xue, Ziqiang Chen, Hui Xu, Jianwen Ai, Shuzheng Jiang, Yingjie Li, Ying Wang, Jie Guang, Linlu Mei, Xijuan Jiao, Xingwei He, Tingting Hou，2011, A High Throughput Geocomputing System for Remote Sensing Quantitative Retrieval and a Case Study. International Journal of Applied Earth Observation and Geoinformation, 13(1), pp.902–911. (DOI:10.1016/j.jag.2011.06.006)
[26.] Yong Xue, Dominic Palmer-Brown, Huadong Guo, 2011, The Use of High Performance and High Throughput Computing for the Fertilization of Digital Earth and Global Change Study. International Journal of Digital Earth, Vol. 4, No. 3, pp185-210.
[27.] Yong Xue, Jianwen Ai, Wei Wan, Huadong Guo, Yingjie Li, Ying Wang, Jie Guang, Linlu Mei, and Hui Xu, 2011, Grid-Enabled High-Performance Quantitative Aerosol Retrieval from Remotely Sensed Data. Computers & Geosciences, vol. 37, pp.202-206.
[28.] J. Guang, Y. Xue, Y. Wang, Y. J. Li, L. L. Mei, H. Xu, S. L. Liang, J. D. Wang, and L. Y. Bai, 2011, Simultaneous determination of aerosol optical thickness and surface reflectance using ASTER visible to near-infrared data over land. International Journal of Remote Sensing, Volume 32, Issue 22, November 2011, pages 6961-6974.
[29.] Yong Xue, Jianwen Ai, Wei Wan, Yingjie Li, Ying Wang, Jie Guang, Linlu Mei, Hui Xu, Qiang Li, and Linyan Bai, 2010, Workload and Task Management of Grid- Enabled Quantitative Aerosol Retrieval from Remotely-Sensed Data. Future Generation Computer Systems, Vol. 20, pp590-598. (DOI: 10.1016/j.future.2009.11.003)
[30.] Yong Xue, Jianping Guo, and Xiaoye Zhang, 2009, Aerosol Optical Thickness Retrieval over non-Lambertian Land Surface with Synergistic Use of AATSR Radiance Measurements and MODIS Derived Albedo Model Parameters. Atmospheric Research, Vol. 93, pp736–746. (DOI: 10.1016/j.atmosres.2009.02.013)
[31.] Jianping Guo, Huadong Xiao, Yong Xue, Huizheng Che, Xiaoye Zhang, Chunxiang Cao, Jie Guang and Hao Zhang, 2009, A new method to retrieve aerosol optical thickness from satellite images on a parallel system. Particuology, Volume 7, Issue 5, October 2009, Pages 392-398. (doi:10.1016/j.partic.2009.07.003)
[32.] Jianping Guo, Yong Xue, Chunxiang Cao, Hao Zhang, Jie Guang, Xiaoye Zhan and Xiaowen Li, 2009, A synergic algorithm for retrieval of aerosol optical depth over land. Advances in Atmospheric Sciences, Volume 26, Number 5, pp973-983.
[33.] Yong Xue, Yingjie Li, Jie Guang, Xiaoye Zhang and Jianping Guo, 2008, Small Satellite Remote Sensing and Applications - History, Current and Future. International Journal of Remote Sensing, Vol. 29(15), pp4339-4372.
[34.] Yong Xue, Wei Wan, Yingjie Li, Jie Guang, Linyian Bai, Ying Wang and Jianwen Ai, 2008, A Data Intensive Scientific Computing Framework for Quantitative Retrieval of Geophysical Parameters using Satellite Data, IEEE Computer, Vol. 41(4), pp.33-40.
[35.] Yong Xue, Huadong Guo, Wei Wan, Jianqin Wang and Ying Luo, 2008, Overview and preliminary idea for the building Digital Earth with grid computing technology. International Journal of Digital Earth, Vol. 1, No. 2, June 2008, 1-6.
[36.] Yong Xue, Dingsheng Liu, Jianwen Ai, and Wei Wan, 2008, High Performance Geocomputation – Preface. Lecture Notes in Computer Sciences, Vol. 5102, pp.603 – 604.
[37.] Cai, Guoyin, Xue, Yong, Hu, Yincui, Wang, Ying, Guo, Jiangping, Qi, Shuhua, 2007, Quantitative Study of Net Radiation from MODIS Data in the Lower Boundary Layer in Poyang Lake Area of Jiangxi Province, China. International Journal of Remote Sensing. Volume 28, Issue 19, 2007, Pages 4381 – 4389. (DOI: 10.1080/01431160701244831)
[38.] Cai, G., Xue, Y., Hu, Y., Wang, Y., Guo, J., Luo, Y., Wu, C., Zhong, S. and Qi, S., 2007, Soil moisture retrieval from MODIS data in Northern China Plain using thermal inertia model, International Journal of Remote Sensing, Volume 28, Issue 16, Pages 3567 – 3581.
[39.] Jiakui Tang, Yong Xue, Tong Yu, Yanning Guan, Guoyin Cai & Yincui, Hu, 2006, Aerosol Optical Thickness Determination for Land Surface from MODIS data. Science in China (Ser. D Earth Sciences), Vol. 49, Issue 6, Pages 641-649.
[40.] Y. Xue, J. Wang, Y. Wang, C. Wu, and Y. Hu, 2005, Preliminary Study of Grid Computing for Remotely Sensed Information. International Journal of Remote Sensing, Vol. 26, No. 16, 3613–3630.
[41.] Jiakui Tang, Yong Xue, Tong Yu, Yanning Guan, 2005, Aerosol Optical Thickness Determination by Exploiting the Synergy of TERRA and AQUA MODIS (SYNTAM). Remote Sensing of Environment, Vol. 94, Issue 3, Pages 327-334.
[42.] Y. Xue, Guoyin Cai, Y. N. Guan, A. P. Cracknell and Jiakui Tang, 2005, Iterative Self-Consistent Approach For Earth Surface Temperature Determination. International Journal of Remote Sensing, Vol. 26, No. 1, 185–192.
[43.] Sun YJ, Wang JF, Zhang RH, Gillies RR, Xue Y, Bo YC, 2005, Air temperature retrieval from remote sensing data based on thermodynamics. Theoretical and Applied Climatology, 80 (1): 37-48 FEB 2005.
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[47.] Ma, J. W., Xue, Y., Ma, C. F., and Wang, Z. G., 2003, A Data Fusion Approach for Soil Erosion Monitoring in the Upper Yangtze River Basin of China Based on Universal Soil Loss Equation (USLE) Model. International Journal of Remote Sensing. Vol. 24, No. 23, pp.4777-4789.
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[49.] Yanning Guan, Guo Shan, Xue Yong, Li R., Yang Q.K., 2003, Landscape Dynamitic Change in Mu Us Desert Derived from Landsat TM Data. Journal of Environmental Sciences, Vol.15, No.2, pp222-226.
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