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Quexiang
Associate professor
College of Computer and Information
Post:
Title:
Associate professor
Degree:
Phd
Tel:
Email:
quexiang@fafu.edu
Office:
Room 310, Tian Jia Ping Building
Address:
No.15 Shangxiadian Road, Cangshan District, Fuzhou City, Fujian Province, China
PostCode:
350002

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  • 2022/5 - Present, University of Idaho, USA, postdoctoral fellow

    2018/12-2019/12, funded by China Scholarship Council, University of Idaho, USA, visiting scholar

    2012/09-2015/06, China University of Geosciences (Wuhan), School of Computer Science, Ph.D.


  • 2022/6-present: Associate Professor, School of Computer and Information, Fujian Agriculture and Forestry University; 


    2015/11-2022/5:Lecturer, School of Computer and Information, Fujian Agriculture and Forestry University;


  • Current postgraduate students: Ding Xiaoting, Fei Tingting, Chen Ruijuan, Zou Xinyan, Zhuang Xinhan, Lai Yuting, Xu Xiaoying, Fu Quanli, Zheng Yubin, Yang Haohao

         Graduated master’s students: Deng Shuiyun, Li Menghang, Su Shaoqiang

         Co-supervising doctoral candidates: Hong Yu

         Co-supervise graduated master’s students: Lin Jin, Gong Shengyan, Zhu Yingchen, etc.

    Related:

             2023 Zou Xinyan Best Poster Award at the 4th Remote Sensing Conference on Vegetation Diseases and Pests;

             2022 (8th) National Undergraduate Statistical Modeling Competition Research on the Spatial and Temporal Heterogeneity of China's Energy Carbon Emission Efficiency and its Driving Factors under the New Pattern of Green Development - Based on SBM-DEA and STWR Model Third Prize in the Graduate Group, Participating Team members: Fei Tingting, Lin Jin, Wang Ziwei;

             2022 Fujian Postgraduate Statistical Modeling Competition, first prize, winners: Fei Tingting, Lin Jin, Wang Ziwei


  • Research Fields

    Member of the Board of Directors of the National Industrial Statistics Teaching and Research Association;

    Member of the Board of the ninth Directors of the Fujian Provincial Society of Surveying, Mapping and Geographic Information;

    Deputy Director of Fujian Provincial Statistical Information Research Center (School Research Platform).


    Research areas of interest: Mathematical earth science, geographic information science, 

    computer science and other multi-disciplinary interdisciplinary learning and research backgrounds. 

    Specific research directions include: spatiotemporal weighted regression and its applications, 

    GIS spatiotemporal data modeling and analysis, spatiotemporal data mining, MPI parallel computing, and knowledge graphs


    ORCID: 0000-0002-5687-8627


    1. Guest associate editor of the special issue of Earth Science Informatics (SCI, IF: 2.705),


    Progress of Geoinformatics in Earth and Environmental Sciences,


    Submissions are welcome:


    https://www.springer.com/journal/12145/updates/24595120


    2. Guest associate editor of the special issue Sustainability (SCI, IF: 3.889),


    Special Issue Sustainability in Geospatial Analysis and Geographic Information Science Application,


    Submissions are welcome:


    https://www.mdpi.com/journal/sustainability/special_issues/0B7755R16E


    Teachings

    Statistics, Spatial Statistics, Data Mining and Its Application Technology, Statistical Professional Practice, Statistical Comprehensive Practice



    Projects

    Multi-scale space-time weighted regression and its parallel calibration algorithm research, National Natural Science Foundation of China Youth Fund, approval number: 42202333, ¥300,000, 2023-01-2025-12, PI.


    Mathematical model development of infectious disease monitoring and early warning and emergency response technology research platform based on geographic information technology, Fuzhou Center for Disease Control and Prevention, ¥100,000, 2022.02-2022.9, PI.


     Spatio-temporal heterogeneity modeling and early warning research of regional rainfall-type landslide hazard risk—taking Yongtai County as an example, Yongtai County Meteorological Bureau of Fujian Province, ¥55,000, 2022.3-2023.5, PI.


    Monitoring and early warning analysis of infectious diseases based on geographic information technology, Fujian Jingwei Surveying and Mapping Information Co., Ltd., 2022350004000482, 2022.3-2022.9, ¥50,000, PI.


      Construction of Land and Resources Monitoring and Supervision System Based on Spatial Big Data, Fuzhou Science and Technology Plan Project 2021-P-056 (Rong Ke [2021] No. 266), ¥30,000 (total funding ¥300,000), 2021.06.01-2023.05.31. Co-PI.


    Research on Multi-scale Geographically Weighted Regression Method Considering Time-varying Value Difference Rate, Fujian Provincial Natural Science Foundation (2021J05030), 40,000, 2021-2024, PI.


     Research on key technologies of 3D spatio-temporal data visualization and distributed storage in land space (2021L3003), 2021 central government-guided local development special project, ¥225,000 (total funding ¥900,000), 2021.9-2024.8, Co-PI.


    R&D and application of key technologies for dynamic evaluation of wetland carbon pool ecological security, 2021 Fujian Provincial Key Project of Science and Technology Innovation (2021G02007), ¥ 600,000, Co-PI.



    Research on key technologies of spatiotemporal dynamic monitoring and intelligent computing of carbon storage in coastal wetlands in Fujian Province, Department of Natural Resources of Fujian Province (Ministry of Natural Resources' Southeast Ecological Fragile Area Monitoring and Restoration Engineering Technology Innovation Center), Southeast Ecological Restoration [2021] No. 4, ¥100,000, 2021.4 -2023.4, Co-PI.


    Green Smart Wetland Ecological Protection Information Service Team, Fujian Agriculture and Forestry University Rural Revitalization Service Team Support Program (11899170152), ¥300,000, Co-PI.


    Land and Resources Monitoring and Supervision System Construction—Ecological Dynamic Monitoring and Supervision System, Telihui Technology Information Co., Ltd., 2021350104001014, 2021.4-2023.4, ¥100,000, PI.




    Publications

    Hong,Y., Zhou,R., Liu J., Que,X., Chen, B., Chen, K., He, Z., Huang, G. (2025) Monitoring Mangrove Phenology Based on Gap Filling and Spatiotemporal Fusion: An Optimized Mangrove Phenology Extraction Approach (OMPEA),Remote Sens (IF 4.2, SCI 二区).17(3), 549. https://doi.org/10.3390/rs17030549

    Que,X., Zhang,J., Chen, W., Ralph, J., and M,X.*:OpenMindat v1.0.0 R package:A machine interface to Mindat open data to facilitate data-intensive geoscience discoveries, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2024-1141 ,2024.

    Jiyin Zhang, Cory Clairmont, Xiang Que, Wenjia Li, Weilin Chen, Chenhao Li, Xiaogang Ma*,Streamlining Geoscience Data Analysis with an LLM-Driven Workflow,Applied Computing and Geosciences, 2024, 100218, https://doi.org/10.1016/j.acags.2024.100218 

    Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S.M., Li, W., Chen, W. and Ma, X.*, 2024. Mindat. org–the open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist (IF 2.7, SCI)https://doi.org/10.2138/am-2024-9486 

    Xiang Que, Jingyi Huang, Jolyon Ralph, Jiyin Zhang, Anirudh Prabhu, Shaunna Morrison, Robert Hazen, Xiaogang Ma*, 2024,Using adjacency matrix to explore remarkable correlations in big and small mineral data, Geoscience Frontiers (IF 8.9, 一区top), https://doi.org/10.1016/j.gsf.2024.101823.

    Zhe Wang, Xiang Que*, Meifang Li, Zhuoming Liu, Xun Shi, Xiaogang Ma, Chao Fan, Yan Lin. Spatiotemporally weighted regression (STWR) for assessing Lyme disease and landscape fragmentation dynamics in Connecticut towns. Ecological Informatics(IF 5.9 二区, SCI JCR Q1),2024, https://doi.org/10.1016/j.ecoinf.2024.102870.

    Yu Hong, Xiang Que*, Zhe Wang, Xiaogang Ma, Hui Wang, Sanaz Salati, Jinfu Liu, 2024, Mangrove extraction from super-resolution images generated by deep learning models. Ecological Indicators(IF 7 , 二区 top), https://doi.org/10.1016/j.ecolind.2024.111714 

    Que Xiang, Marshall Ma, Ma Chao, and Chen Qiyu. 2020, A Spatiotemporal Weighted Regression Model (STWRv1.0) for Analyzing Local Non-stationarity in Space and Time, Geoscientific Model Development (IF 6.892, 一区 ), 13(12), 6149–6164, https://doi.org/10.5194/gmd-13-6149-2020   

    Que Xiang, Ma Chao, Ma Xiaogang, and Chen Qiyu. Parallel Computing for Fast Spatiotemporal Weighted Regression, Computers & Geosciences(IF 5.168, 二区), 2021, https://doi.org/10.1016/j.cageo.2021.104723 

    Chen, L.; Wang, Z.; Ma, X.; Zhao, J.; Que, X.*; Liu, J.; Chen, R.; Li, Y. Empirical Analysis of a Super-SBM-Based Framework for Wetland Carbon Stock Safety Assessment. Remote Sens (IF 5.349, 二区). 202416, 1678. https://doi.org/10.3390/rs16101678 

    Chen, R.,Wang, C.,Que,X.*, Liao H.F.*,Ma,X.,Wang,Z.,Li,Z.,Wen.K.,Lai,Y.,Xu.X., 2024,Exploring the urban heat distribution and thermal comfort exposure using spatiotemporal weighted regression (STWR),buildingsIF 3.324, 三区https://doi.org/10.3390/buildings14061883.

    Zou, X.; Wang, C.; Que, X*.; Ma, X.; Wang, Z.; Fu, Q.; Lai, Y.; Zhuang, X. Spatiotemporal Heterogeneous Responses of Ecosystem Services to Landscape Patterns in Urban–Suburban Areas. SustainabilityIF 3.889, 三区, 2024, 163260.https://doi.org/10.3390/su16083260 

    Xiang Que, Xinhan Zhuang*, Xiaogang Ma, Yuting Lai, Jianfang Xie, Tingting Fei, Hui Wang, Yuming Wu, 2023, Modeling the spatiotemporal heterogeneity and changes of slope stability in rainfall‑induced landslide areas. Earth Science Informatics(IF 2.8 ), https://doi.org/10.1007/s12145-023-01165-7 

    Chao Fan; Xiang Que*; Zhe Wang; Xiaogang Ma (2023). Land cover impacts on surface temperatures: evaluation and application of a novel spatiotemporal weighted regression approach, ISPRS Int. J. Geo-Inf (IF 3.099, 三区).12, no. 4: 151. https://doi.org/10.3390/ijgi12040151 

    Zhe Wang, Chao Fan, Xiang Que, Felix Haifeng Liao*, Xiaogang Ma, Hui Wang.Multi-scale analysis of urban forests and socioeconomic patterns in a desert city, Phoenix, Arizona,scientific reports,https://doi.org/10.1038/s41598-024-74208-8  ,2024( IF 3.8 SCI,  二区)

    Qingquan Chen, Xiaoyan Zheng, Binglin Xu, Mengcai Sun, Quan Zhou, Jin Lin, Xiang Que, Xiaoyang Zhang, Youqiong Xu, 2024,Exploring the spatiotemporal relationship between influenza and air pollution in Fuzhou using spatiotemporal weighted regression model. Scientific Reports (IF 4.6, 二区), 14,4116(2024). https://doi.org/10.1038/s41598-024-54630-8  

    Xiaogang Ma, Jolyon Ralph, Jiyin Zhang, Xiang Que, Anirudh Prabhu, Shaunna M. Morrison, Robert M. Hazen, Lesley Wyborn, Kerstin Lehnert. (2023)OpenMindat: Open and FAIR mineralogy data from the Mindat database, Geoscience Data Journal (IF 3.488 三区), https://doi.org/10.1002/gdj3.204

    Cui, Z., Chen, Q., Liu, G., Ma, X. and Que, X.,2021. Multiple-point geostatistical simulation based on conditional conduction probability. Stochastic Environmental Research and Risk Assessment(IF 3.821, 二区), pp.1-14. https://doi.org/10.1007/s00477-020-01944-4

    Ralph, J., Martynov, P., Ma, X., Von Bargen, D., Li, W., Huang, J., Golden, J., Profeta, L., Prabhu, A., Morrison, S., Que, X., Zhang, J., 2024. Identifier service in the Mindat database: Persistent and structured access to massive records of minerals and other natural materials. Data Intelligence (IF 1.3, 三区), https://doi.org/10.3724/2096-7004.di.2024.0021.

    Que X*., Su S. (2021) Geographically Weighted Regression. 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_141-1 

      

    Que X*., Ma X., Ma C., Liu F., Chen Q. (2021) Spatiotemporal Weighted Regression. 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_307-1 

     Jiyin Zhang, Xiang Que, Bhuwan Mdahikarmi, Robert M Hazen,Jolyon Ralph; Anirudh Prabhu, Shaunna M Morrison, Xiaogang Ma*, 2024, Using a 3D heat map to explore the diverse correlations among elements and mineral species, Applied Computing & Geosciences(ESCI, IF 2.6), https://doi.org/10.1016/j.acags.2024.100154.   

      

    Deng, Shuiyun, Que Xiang*; Research on the teaching assessment of students of science and engineering teachers in a university, Computer Applications in Engineering Education (IF 2.109), 2019, 27(1): 5-12 , https://doi.org/10.1002/cae.22051

    Chen, W., Ma, X., Wang, Z., Li, W., Fan, C., Zhang, J., Que, X., Li, C., 2024. Exploring Neuro-Symbolic AI Applications in Geoscience: Implications and Future Directions for Mineral Prediction. Earth Science Informatics (IF 2.8 ), https://doi.org/10.1007/s12145-024-01278-7 

    Hui,W., Meixu, C., Zhe. W., Li. H., Christopher C.C., Shijin Q., Xiang, Q., 2024,How does extreme point sampling affect non-extreme simulation in geographical random forest? Earth Science Informatics (IF 2.8). https://doi.org/10.1007/s12145-024-01268-9 

    Lin, J., Que, X*., Liu, J., Ma, X., Fei, T. and Yan, X., 2023. AN EMPIRICAL ANALYSIS OF SPATIAL AND TEMPORAL HETEROGENEITY OF METEOROLOGICAL FACTORS AFFECTING AIR QUALITY IN CHINA. In Proceedings of the 19th Annual Meeting of the Asia Oceania Geosciences Society (AOGS 2022) Singapore, 01–05 August 2022 (pp. 89-91). https://doi.org/10.1142/9789811275449_0030

    Fei, T., Que, X*., Ma, X., Xu, Y., Lin, J. and Yan, X., 2023. RESEARCH ON THE SPATIOTEMPORAL HETEROGENEITY OF INFLUENZA AND ITS MAIN DRIVING FACTORS——AN EMPIRICAL ANALYSIS BASED ON STWR MODEL. In Proceedings of the 19th Annual Meeting of the Asia Oceania Geosciences Society (AOGS 2022) Singapore, 01–05 August 2022 (pp. 101-103) https://doi.org/10.1142/9789811275449_0034

    Li, C.; Zhang, J.; Kale, A.; Que, X.; Salati, S.; Ma, X. Toward Trust-Based Recommender Systems for Open Data: A Literature Review. Information 2022, 13, 334. https://doi.org/10.3390/info13070334

    Chen Q., Liu G., Ma X., Que X. (2021) Spatial Analysis. 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_300-1

    Xiang Que*,Xiaogang Ma, Chao Ma, Qiyu Chen, Fan Liu.Spatiotemporal Weighted Regression for Exploring Processes with Spatial Heterogeneity in the Rate of Change of Responses, Asia Oceania Geosciences Society 18 th Annual Metting, Abstract, 2021.

    Hummer D, Ma X, Que X, Zhang S, Liu C, Hazen R, Golden J & Downs R, TowardsQuantitative Scales of Lithophilicity, Chalcophilicity and Hydrophilicity UsingStatistical Correlations Among the Mineral-Forming Elements,Goldschmidt2020, https://doi.org/10.46427/gold2020.1113

    Xiang Que, Marshall Ma, Fast Geographically Weighted Regression for Large Scale Spatiotemporal Data,2019 Earth Science Information Partners (ESIP) Summer Meeting, Poster.

    Xiang Que; Zhiting Zhang; Gang Liu; Xialin Zhang; Chonglong Wu; A 3D Geological Sketch Modeling Method Based on Monotone Chains, Journal of Computational Information Systems, 2014, 10(17): 7561-7569.

    Tian, Shanjun, Wu, Chonglong, Liu, G,  Que, Xiang, Chen, Qiyu. (2016). Spatiotemporal Data Model for Managing 3D Geological Solid Models in Coal Digging Simulation. Int. J. Earth Sci. Eng12, 2472-2479.

    G Liu, X Que, X Hu, S Tian, J Zhu. Spatiotemporal Data Model forMulti-Factor Geological Process Analysis with Case Study, Mathematics of PlanetEarth, Springer Berlin Heidelberg,2014:319-323. https://doi.org/10.1007/978-3-642-32408-6_71

    Xiang Que; Riqing Chen; Jinfu Liu; Chunyan Lu; Chonglong Wu; Spatiotemporal Data Model for Geographical Process Analysis with CaseStudy, 2016 IEEE 15th International Symposium on Parallel and Distributed Computing. https://doi.org/10.1109/ISPDC.2016.66

    Xiang Que; Gang Liu; Zhenwen He; Guang Qi; Realistic 3D Terrain Roaming and Real-Time Flight Simulation, 3D Research, 2014, 5(4): 1-11. https://doi.org/10.1007/s13319-014-0027-2

    苏少强阙翔* , 严宣辉,何中声,刘金福,李梦航,黄朝法,刘 海,基于STWR模型的森林病虫影响因素研究[J].西北农林科技大学学报(自然科学版),2022, 50(11),DOI: 10.13207/j.cnki.jnwafu.2022.11.010

    阙翔,陈日清,刘必雄,罗超,李梦航,苏少强.福建省农业技术推广信息化展示平台设计与实现[J].农业工程,2021,11(03):43-49.

    李梦航,阙翔,刘金福,邓水云,苏少强.福建省县域人均GDP影响因素的局部时空异质性分析,河北省科学院学报,2021,3802):50-63.

    李梦航,阙翔,刘金福,苏少强,丁晓婷.赤峰学院学报(自然科学版),2021,37(01):37-41.

    王晨,阙翔.健全自然资源资产产权体系[J].国土资源情报,2021.http://kns.cnki.net/kcms/detail/11.4479.N.202

    林津, 洪宇, 林志玮, 阙翔, 刘金福, 连海峰. 福建泉州湾河口湿地时空动态及其驱动机理[J]. 北京林业大学学报.2021,43(6):75-82. http://j.bjfu.edu.cn/cn/article/doi/10.12171/j.1000-1522.20200358 

    温康民,任国玉,阙翔,孙秀宝.福州城市热岛精细化时空结构特征研究[J].环境监测管理与技术,2023,35(01):14-19.DOI:10.19501/j.cnki.1006-2009.2023.01.003.

    龚声燕,连海峰, 阙翔*, 刘金福*,谭芳林.基于APEI的2013—2018年福建省大气污染评价[J].环境工程,2023,41(02):73-81.DOI:10.13205/j.hjgc.202302011.

    朱映辰,谭芳林,阙翔*, 洪宇,潘爱芳,刘金福. 多时间尺度下森林公园负离子变化特征及与温湿度关系研究[J].西北林学院学报,2023,38(06):211-218+227. doi:10.3969/j.issn.1001-7461.2023.06.28 

    费婷婷,丁晓婷,阙翔*, 林津,林健,王紫薇,刘金福 .基于SBM-DEA与STWR模型的中国能源碳排放效率时空异质性分析, 环境工程, https://link.cnki.net/urlid/11.2097.X.20240926.1500.002 



    Achievements

    Patent

    Xiang Que*; Ma Chao; Fan Liu; Wang Kun; Spatiotemporal Weighted Regression Method Based on Geographically Weighted Regression Framework, 2019-8-1, United States, application number: 16528845, ranking first.


    A method for realizing the corresponding relationship sequence between options and test questions in 3D question bank, 2016-9-19, China, CN201610828677.3, ranking third.


    Computer software copyright registration


    Wetland waterbird online sample annotation platform V1.0 (registration number 2023SR0971735), ranked 1.


    Bird positioning and observation applet V0.2 (registration number 2023SR0977259), ranked 1.


    The spatiotemporal weighted regression operation software is referred to as STWRV1.0 (registration number: 2020SR1667551), 

    ranking first.


    Smart Wetland Monitoring and Display System V1.0 (Registration Number: 2017SR657981), ranked first.


    Agricultural technology extension display system ATEDS V1.0 (registration number: 2016SR361801), ranked first.


    Agricultural technology extension collection system V1.0 (registration number: 2017SR075858), ranked first.


    Geological spatiotemporal data management system GeoSTDMS V1.0 (registration number: 2015SR015605), ranked third.


    Award


    2023 Fujian Provincial Surveying, Mapping and Geographic Information Science and Technology Award - Outstanding Academic Paper 

    Award, Second Prize, Ranked 1st


    Candidates for training in Fujian Agriculture and Forestry University’s “Hundred Climbing Plan” in 2023


    2021 Fujian Provincial Surveying, Mapping and Geographic Information Science and Technology Award - Outstanding Academic Paper 

    Award, First Prize, Ranked 1st


    2021 School May 4th Youth Individual Medal


    2018-2020 School Major Basic Research Key Core Technology Achievement Award, Second Prize, Ranked 2nd.