2012~2017年信息工程学院 论文
1、 周长兵. Zhou,Zhangbing., Fang,Wei., Niu,Jianwei., Shu,Lei., Mukherjee,Mithun. Energy-Efficient Event Determination in Underwater WSNs Leveraging Practical Data Prediction. Ieee Transactions on Industrial Informatics, 2017, 13(3): 1238-1248. [IF=6.764]
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2、 丁超. Ding,Chao., Liu,Xiangnan., Huang,Fang., Li,Yao., Zou,Xinyu. Onset of drying and dormancy in relation to water dynamics of semi-arid grasslands from MODIS NDWI. Agricultural and Forest Meteorology, 2017, 234(2): 22-30. [IF=3.887]
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3、 刘美玲, Liu, M. L., Liu, X. N., Zhang, B. Y. and Ding, C.. Regional heavy metal pollution in crops by integrating physiological function variability with spatio-temporal stability using multi-temporal thermal remote sensing. International Journal of Applied Earth Observation and Geoinformation, 2016, 51: 91-102 [IF=3.798]
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4、 丁超, Ding, C., Li, X. Q., Liu, X. N. and Zhao, L. T.. Quartzose-mafic spectral feature space model: A methodology for extracting felsic rocks with ASTER thermal infrared radiance data. Ore Geology Reviews, 2015, 66: 283-292 [IF=3.558]
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5、 李旭青, Li, X. Q., Liu, X. N., Liu, M. L., Wang, C. C. and Xia, X. P.. A hyperspectral index sensitive to subtle changes in the canopy chlorophyll content under arsenic stress. International Journal of Applied Earth Observation and Geoinformation, 2015, 36: 41-53 [IF=3.47]
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6、 金铭, Jin, M., Liu, X. N., Wu, L. and Liu, M. L.. An improved assimilation method with stress factors incorporated in the WOFOST model for the efficient assessment of heavy metal stress levels in rice. International Journal of Applied Earth Observation and Geoinformation, 2015, 41: 118-129 [IF=3.47]
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7、 薛春璐, Xue, C. L., Zheng, X. Q., Zhang, B. and Yuan, Z. Y.. Evolution of a multidimensional architectural landscape under urban regeneration: A case study of Jinan, China. Ecological Indicators, 2015, 55: 12-22 [IF=3.444]
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8、 丁超, Ding, C., Liu, X. N., Liu, W. C., Liu, M. L. and Li, Y.. Mafic-ultramafic and quartz-rich rock indices deduced from ASTER thermal infrared data using a linear approximation to the Planck function. Ore Geology Reviews, 2014, 60(): 161-173 [IF=3.383]
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9、 亓呈明. Qi,Chengming., Zhou,Zhangbing., Sun,Yunchuan., Song,Houbing., Hu,Lishuan., Wang,Qun. Feature selection and multiple kernel boosting framework based on PSO with mutation mechanism for hyperspectral classification. Neurocomputing, 2017, 220(): 181-190. [IF=3.317]
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10、 向建明. Xiang,Jianming., Zhou,Zhangbing., Shu,Lei., Rahman,Taj., Wang,Qun. A Mechanism Filling Sensing Holes for Detecting the Boundary of Continuous Objects in Hybrid Sparse Wireless Sensor Networks. Ieee Access, 2017, 5(): 7922-7935. [IF=3.244]
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