Zhang Min
Professor
Plant Nutrition
Shandong Agricultural University
China
Biography
Zhang Min, male, born in July 1958, graduated from Shandong Agricultural University in January 1982, in July 1989 in Nanjing Institute of Soil Science, Chinese Academy of Sciences received a master's degree in science. In 1992, he went to the University of Kentucky to complete his doctoral thesis. In 1994, he was invited to the University of Florida to do postdoctoral research. In June 1996 after returning home in Shandong Agricultural University postdoctoral station to do the second post of postdoctoral. Now he is the director of the professor's committee of Shandong Agricultural University, doctoral tutor, deputy director of the national slow-release fertilizer release engineering technology research center, executive director of the Chinese soil society, vice chairman of Shandong soil and fertilizer society, the national fertilizer and soil conditioner standardization Member of the Technical Committee. Over the years engaged in the development of new fertilizer, soil chemistry and environmental aspects of teaching and research work, has guided Dr. 13, 25 master's degree, post-doctoral 7. "Soil Science Society of America Journal", "Soil Science", "Plant and Soil", "Journal of Plant Nutrition", "Geoderma", " Environment International ", "Clays and Clay Minerals", "Pedosphere", "Soil Journal "and other journals published more than 150 papers, more than 20 articles were included in SCI.
Research Interest
Plant Nutrition
Publications
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Zhang ML, Zhou ZH. Multilabel neural networks with applications to functional genomics and text categorization. IEEE transactions on Knowledge and Data Engineering. 2006 Oct;18(10):1338-51.
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Zeng W, Cao Y, Bai Y, Wang Y, Shi Y, Zhang M, Wang F, Pan C, Wang P. Efficient dye-sensitized solar cells with an organic photosensitizer featuring orderly conjugated ethylenedioxythiophene and dithienosilole blocks. Chemistry of Materials. 2010 Jan 22;22(5):1915-25.
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Zhang ML, Zhou ZH. ML-KNN: A lazy learning approach to multi-label learning. Pattern recognition. 2007 Jul 31;40(7):2038-48.
