Dr. Yunjia  Wang
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Dr. Yunjia Wang

Research Scientist
China University of Mining and Technology, China


Highest Degree
Ph.D. in Mining Engineering from China University of Mining and Technology, China

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Biography

Yunjia Wang, Ph.D. is an Professor at China University of Mining and Technology, and dean of School of Environmental Science and Spatial Informatics, director of Key Laboratory for Land Environment & Disaster Monitoring of SBSM, director of Jiangsu Key Laboratory of Resources & Environmental Information Engineering, director of Engineering Research Center of Mine Ecological Construction, Ministry of Education, China University of Mining and Technology. Dr. Yunjia has over 270 scientific papers and projects either presented or published (more than 60 papers published in SCI、EI). He is an internationally recognized expert in many areas of Resources and environment information and spatial decision-making, resources and environment economy and management, geographic information engineering, mine measurement. Dr. Yunjia has been awarded the China national scientific and technological progress second prize 4 times, and China national teaching achievement prize two times. He is also a member of the Scientific and Technical Committee of the China National Surveying and Mapping Geographic Information Bureau, member of the China Society of Geodesy and Geology and Geophysics, director of the Standing Committee of the China Geographic Information Industry Association, member of the Committee of the Environmental Protection of the China Coal Industry Technical Committee, member of the International Mine Survey Association Member of the management committee, director of the China Natural Resources Society.

Area of Interest:

Environmental Sciences
100%
Environmental Development
62%
Environmental Monitoring
90%
Mining Technology
75%
Air Pollution
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
0
Abstracts
0

Selected Publications

  1. Zhang, H., Y. Wang and L. Yong-feng, 2009. SVM model for estimating the parameters of the probability-integral method of predicting mining subsidence. Min. Sci. Technol., 19: 385-388.
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  2. Yong-Feng, L., Y.H. Liu, D.U. Zhuan-Ping and J. Chen, 2009. Effect of coal resources development and compensation for damage to cultivated land in mining areas. Min. Sci. Technol., 19: 620-625.
    CrossRef  |  Direct Link  |  
  3. Xing-feng, W., W. Yun-jia and H. Tai, 2008. Extracting mining subsidence land from remote sensing images based on domain knowledge. J. China Univ. Min. Technol., 18: 168-171.
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  4. Zhang, H., Y. Wang and C. Liu, 2007. Research on Evaluation of Degree of Complexity of Mining Fault Network Based on GIS. J. China Univ. Min. Technol., 17: 63-67.
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  5. Gang-jun, L., F. Er-jiang, W. Yun-jia, Z. Ke-fei, H. Bao-ping and A. Colin, 2007. A Framework of Environmental Modelling and Information Sharing for Urban Air Pollution Control and Management. J. China Univ. Min. Technol., 17: 172-178.
    CrossRef  |  Direct Link  |