王成彬 (副教授)

副教授 硕士生导师

主要任职:DDE深时数字地球数据科学工作组Co-Leader; 中国地质学会青年工作委员会委员

性别:男

毕业院校:中国地质大学(武汉)

学历:博士研究生

学位:工学博士学位

在职信息:在职

所在单位:资源学院

入职时间:2018-07-04

学科:地球探测与信息技术 矿产普查与勘探

办公地点:文华楼526

Email:

个人简历

个人简介

王成彬,博士,副教授。中国地质学会青年工作委员会委员、DDE深时数字地球大科学项目数据科学工作组共同组长。主要从事数学地质与地学信息领域的研究工作。近期研究兴趣主要侧重于地学领域知识图谱构建、领域知识发现与智能应用,基于矿物大数据的矿物系统知识发现与协同演化。


参与科研项目:


(1)矿床领域文本数据挖掘与知识图谱构建,2020年1月-2022年12月,国家自然基金青年项目,项目负责人,在研;

(2)基于大数据技术的地质文本分词与信息抽取研究,2019年01月-2020年12月,湖北省自然基金,项目负责人,结题;

(3)应城市典型矿区三维可视化技术支持,2020年08月-2020年12月,横向合作项目,项目负责人,结题;

(4)知识驱动的三维地质结构-属性一体化精细表征与模拟,2020.1-2020.12,国家自然基金国际合作专项项目,参与;

5)Text Information Extraction and Knowledge Graph Construction from Geoscience Literature,2017年9月-2018年9月,国际数学地球科学协会(IAMG),项目负责人,结题;

(6)深部资源预测系统技术研究与示范-深部地球矿产地球物理三维建模与预测,2017年9月-2021年6月,国家重点研发计划,技术骨干,在研;

(7)地质大数据技术研究与应用试点-地质文本自动标引与自动摘要技术,2015年1月-2017年12月,国土资源部公益性行业科研专项经费项目,技术骨干,结题;

(8)HHTICA在深层次找矿信息提取中的应用研究,2012年12月-2014年6月,中国地质科学院物化探研究所基本科研业务费专项资金项目,主持,结题;

(9)覆盖区勘查地球物理与遥感新技术,2012-2013,中国地质调查局矿产资源部工作项目,主要参与人员,结题;

(10)覆盖区综合地球物理找矿技术研究及应用,2014-1016,中国地质调查局矿产资源部工作项目,主要参与人员,结题;

(11)江西省彭泽县大浩山-利山金矿成矿规律综合研究,2013-2015,横向合作项目,主持,结题。


发表学术论文:


  1. Wang C., Li Y., Chen J. and Ma X., 2022. Named Entity Annotation Schema for Geological Literature Mining in the Domain of Porphyry Copper Deposits.. Ore Geology Reviews. https://doi.org/10.1016/j.oregeorev.2022.105243

  2. Wang C., Li Y., Chen J. 2023.Text Mining and Knowledge Graph Construction from Geoscience Literature Legacy: A Review. In: Ma X, Mookerjee M, Hsu L, Hills D (eds) Recent Advancement in Geoinformatics and Data Science, GSA Special paper. https://doi.org/10.1130/2022.2558(02)

  3. Wang C., Zhao K-D, Chen J. and Ma X., 2022. Examining Fingerprint Trace Elements in Cassiterite: Implications for Primary Tin Deposit Exploration. Ore Geology Reviews. 149. 105082. https://doi.org/10.1016/j.oregeorev.2022.105082

  4. Ma C., Morrision S., Muscente D., Wang C., and Ma X., 2022. Incorporate temporal topology in a deep-time knowledge base to facilitate data-driven discovery in geoscience. Geoscience Data Journal. https://doi.org/10.1002/gdj3.171

  5. Yang X., Chen J., Wang C., and Chen Z., 2022. Residual Dense Autoencoder Network for Nonlinear Hyperspectral Unmixing.  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. https://ieeexplore.ieee.org/document/9815532

  6. Wang C., Chen J., and Ouyang Y., 2022. Determination of Predictive Variables in Mineral Prospectivity Mapping Using Supervised and Unsupervised Methods. Natural Resouces Research.31, 2081–2102. https://doi.org/10.1007/s11053-021-09982-7

  7. Wang C., Ma X., 2021,  Digital Geological Mapping. In: Daya Sagar B., Cheng Q., McKinley J., Agterberg F. (eds) Encyclopedia of Mathematical Geosciences. Encyclopedia of Earth Sciences Series. Springer, Cham. https://doi.org/10.1007/978-3-030-26050-7_88-1

  8. Wang C., Ma X., 2021, Text Mining. In: Daya Sagar B., Cheng Q., McKinley J., Agterberg F. (eds) Encyclopedia of Mathematical Geosciences. Encyclopedia of Earth Sciences Series. Springer, Cham. https://doi.org/10.1007/978-3-030-26050-7_325-1

  9. Wang, C.; Wang, X.; Chen, J., 2021. Digital Geological Mapping to Facilitate Field Data Collection, Integration, and Map Production in Zhoukoudian, China. Applied Sciences. 11, 5041. https://doi.org/10.3390/app11115041

  10. Ma, X., Ma, C., and Wang, C., 2020. A new structure for representing and tracking version information in a deep time knowledge graph.Computer and Geosciences, DOI:10.1016/j.cageo.2020.104620 【PDF

  11. 郑迎凯, 陈建国, 王成彬, 程潭武,2020.确定性系数与随机森林模型在云南芒市滑坡易发性评价中的应用.地质科技通报, 39(6):131-144

    Wang, C. , Pan, Y., Chen, J., et al., 2020. Indicator Element Selection and Geochemical Anomaly Mapping Using Recursive Feature Elimination and Random Forest Methods in the Jingdezhen Region of Jiangxi Province, South China, Applied Geochemistry, 122,104760. DOI:10.1016/j.apgeochem.2020.104760【PDF

  12. Wang, C. and Ma, X., 2019.Text Mining to Facilitate Domain Knowledge Discovery. In: Abdelkrim El Mouatasim (ed.),Text Mining - Analysis, Programming and Application. DOI:10.5772/intechopen.85362【PDF

  13. Wang, C., Ma, X., Chen, J., 2018. Ontology-Driven Data Integration and Visualization for Exploring Regional Geologic Time and Paleontological Information, Computer & Geosciences. 115:12-19 DOI: 10.1016/j.cageo.2018.03.004 【PDF

  14. Wang C., Chen J., 2019. Identification of concealed geological structures in a Grassland Area in Inner Mongolia, China: A Perspective from Temperature Vegetation Dryness Index (TVDI). Journal of Earth Science. 30(4): 853-860. DOI: 10.1007/s12583-017-0980-9  【PDF

  15.  Wang, C., Ma, X., Chen, J. and, Chen J., 2018. Information Extraction and Knowledge Graph Construction from Geoscience Literature, Computer & Geosciences.112:112-120 DOI: 10.1016/j.cageo.2017.12.007 【PDF】【Most Cited Computers & Geosciences Articles

  16. 王成彬,马小刚,陈建国. 2018. 数据预处理在地学大数据中应用, 岩石学报.34(02):303-313【PDF

  17. Ma X., Hummer D., Golden J., Fox P., Hazen R., Shaunna M., Downs R., Madhikarmi B., Wang C., Mayer M., 2017. Using visualized exploratory data analysis to facilitate collaboration and hypothesis generation in cross-disciplinary research, ISPRS International Journal of Geo-Information 6(11): 368-378【PDF

  18.  Wang C., Chen J., Xiao F., Tounkara F. and Li L.,2016. Radioelement distributions and analysis of microtopographical influences in a shallow covered area, Inner Mongolia, China: Implications for mineral exploration, Journal of Applied Geophysics.133:62-69 DOI: 10.1016/j.jappgeo.2016. 06.013【PDF

  19. Wang C., Rao J., Chen J., Ouyang Y., Qi S. and Li Q., 2016. Prospectivity Mapping for “Zhuxi type” Hydrothermal Cu-W Polymetallic Deposits in the Jingdezhen Region of Jiangxi Province, South China, Ore Geology Reviews.89:1-14 DOI: 10.1016/j.oregeorev.2017.05.022 【PDF

  20. Wang C., 2014. Application of Empirical Model Decomposition and Independent Component Analysis to Magnetic Anomalies Separation: a case study for Gobi Desert coverage in Eastern Tianshan, China. The 16th annual conference of the International Association for Mathematical Geoscience. German: Springer 593-598 【PDF

  21. Xiao F., Chen J., Agterberg F., Wang C., 2014. Element behavior analysis and its implications for geochemical anomaly identification: A case study for porphyry Cu–Mo deposits in Eastern Tianshan, China. Journal of Geochemical Exploration, 145: 1-11 【PDF

  22. 王成彬,陈建国,肖凡,吴光明,张珍玉. 2013.浙西北银山银多金属矿床地质特征及成因.地质与勘探,49(4):634-646【PDF

  23. Xiao,F., Chen, J., Zhang, J., Wang, C., Wu, G., Agterberg, FP. 2012.Singularity mapping and spatially weighted principal component analysis to identify geochemical anomalies associated with Ag and Pb-Zn polymetallic mineralization in Northwest Zhejiang, China. Journal of Geochemical Exploration,122:90-100 【PDF

教育经历

[1]   2016.9-2017.9

University of Idaho  |  Geoinformatics 访问学者

[2]   2014.9-2017.12

中国地质大学(武汉)  |  矿产普查与勘探  |  工学博士学位  |  博士研究生

[3]   2011.9-2014.6

中国地质大学(武汉)  |  矿产普查与勘探  |  工学硕士学位  |  硕士研究生

[4]   2007.9-2011.6

中国地质大学(武汉)  |  资源勘查工程  |  学士学位  |  本科毕业

联系方式

  • [1]  邮编:

  • [2]  传真:

  • [3]  通讯/办公地址:

  • [4]  办公室电话:

  • [5]  移动电话:

  • [6]  邮箱: