Prof. Wen Jun Zhang

E-Mail: wjzhang@iaees.org

Qualifications

2000 PostDoc., International Rice Research Institute, Mathematical Ecology

1996 PostDoc., SunYat-senUniversity, Insect Epizoology and Modeling

1993 Ph.D., Department of Plant Protection of Northwestern Agricultural University, Plant Epidemiology and Modeling

1987 M.Sc., Department of Plant Protection of Northwestern Agricultural University, Insect Ecology

1984 B.Sc., Department of Plant Protection of Northwestern Agricultural University, Plant Protection

Publications (Selected)

1. Zhang W. J., Computational Ecology: Artificial Neural Networks and Their Applications. World Scientific, Singapore, 2010.
2. Zhang W. J., Ecological Modeling. Nova Science Publishers, New York, 2012.
3. Zhang W. J., Methodology on Ecology Research. Sun Yat-sen University Press, Guangzhou, 2007.
4. Zhang W. J., Pang Y., Impact of IPM and Transgenics in the Chinese Agriculture. In: Integrated Pest Management: Dissemination and Impact (Eds.R Peshin and AK Dhawan). Springer, 2009.
5. Zhang W. J., et al., A Forecast Analysis on Food Nutrition Supply and Demand Worldwide. In: Food Engineering Research Developments (Ed. TP Klening). Nova Science Publishers, New York, 2007, 311-323.
6. Zhang W. J., et al., An overview and prospect on bana processing technologies in China, In: Food Science and Technology: New Research (Ed. LV Greco, MN Bruno). Nova Science Publishers, New York, 2008, 393-406.
7. Zhang W. J., Xia Y. K., Wei W., Dai H. Q., Zhang X. Y., A Long-term Forecast Analysis on Global Crops Production. In: Crop Protection Research Advances (Eds. EN Burton and PV Williams). Nova Science Publishers, New York, 2008, 279-296.
8. Zhang W. J., Bai C. J., Liu G. D., 2007. Neural network modeling of ecosystems: A case study on cabbage growth system. Ecological Modelling, 201:317-325.
9. Zhang W. J., Zhang X. Y., 2008. Neural network modeling of survival dynamics of holometabolous insects: a case study. Ecological Modeling, 211, 433-443.
10. Zhang W. J., 2007. Supervised neural network recognition of habitat zones of rice invertebrates. Stochastic Environmental Research and Risk Assessment, 21: 729-735.
11. Zhang W. J., Liu G. H., Dai H. Q., 2008. Simulation of food intake dynamics of holometabolous insect using functional link artificial neural network. Stochastic Environmental Research and Risk Assessment, 22(1): 123-133.
12. Zhang W. J., Zhong X. Q., Liu G. H., 2008. Recognizing spatial distribution patterns of grassland insects: Neural network approaches. Stochastic Environmental Research and Risk Assessment, 22(2): 207-216.
13. Zhang W. J., 2007. Computer inference of network of ecological interactions from sampling data. Environmental Monitoring and Assessment, 124: 253-261.
14. Zhang W. J., Wei W., 2009. Spatial succession modeling of biological communities: A multi-model approach. Environmental Monitoring and Assessment, 158: 213-230.
15. Zhang W. J., 2007. Pattern classification and recognition of invertebrate functional groups using self-organizing neural networks. Environmental Monitoring and Assessment, 130:415-422.
16. Zhang W. J., 2007. Overview and forecast on forestry productions worldwide. Environmental Monitoring and Assessment, 125:301-312.
17. Zhang W. J., Barrion A. T., 2006. Function approximation and documentation of sampling data using artificial neural networks. Environmental Monitoring and Assessment,122:185-201.
18. Zhang W. J., Qi Y. H., Zhang Z. G., 2006. A long-term forecast analysis on worldwide land uses. Environmental Monitoring and Assessment, 119:609-620.
19. Zhang W. J., Zhang X. Y., 2007. A forecast analysis on fertilizers consumption worldwide. Environmental Monitoring and Assessment, 133:427-434.
20. Zhang W. J., Bai C. J., Liu G. D., 2007. A longer-term forecast on global supply and demand of food products. Journal of Food, Agriculture and Environment, 5(1):105-110.
21. Zhang, W. J., 2008. A forecast analysis on world population and urbanization process. Environment, Development and Sustainability, 10: 717-730.
22. Zhang W. J., 2007. An algorithm for randomization test and its Matlab implementation. Journal of Biomathematics, 22(4).
    
    

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