基本介绍
王少剑，1987年生，河南驻马店人，博士，副教授/博士生导师，广东省特支计划高层次青年拔尖人才、珠江科技新星创新人才、美国麻省理工学院(MIT)中国未来城市实验室兼职研究员。主要从事城市地理、城市化与城市规划等方面的研究与教学工作，在新型城镇化与低碳可持续发展、城市空间结构与土地利用、城市环境治理与政策分析、空间优化与政策模拟以及不同尺度区域差异研究等方面有较为深入的研究。在Nature Communications,?Annals of AAG, Environmental Science & Technology, Landscape and Urban Planning, Applied Geography, Cities, Environment and Planning A,?Habitat International,?Renewable & Sustainable Energy Reviews, Applied Energy, Journal of Cleaner Production, Environmental Pollution, Science of the Total Environment、Ecological Indicators、Ecological Modelling, Journal of Geographical Science、地理学报、生态学报、地理研究、地理科学、地理科学进展等SCI/SSCI及国内地理学期刊发文110余篇(SSCI/SCI 论文84篇, ESI热点/高倍引论文17篇，3篇论文被人大报刊复印资料全文转载)，Web of Science被引用1900余次，Google Scholar 被引用3400余次，H-index 34。担任《Landscape and Urban Planning》、《Urban Studies》、《Applied Geography》、《Applied Energy》、《Journal of Cleaner Production》、《Environment International》、《Urban Studies》、《Cities》、《Habitat International》、《Ecological Indicators》、《Chinese Geographical Sciences》、《地理学报》、《地理研究》、《地理科学》等期刊通讯外审专家。获住全国青年地理科技奖、建部华夏建设科学技术三等奖、广东省特支计划高层次人才、珠江科技新星创新人才、中国科学院百篇优秀博士学位论文、中国科学院院长奖、北京市优秀毕业生、中国科学院优秀毕业生、中国科学院地理科学与资源研究所优秀毕业生/所长奖学金、中国科学院地理科学与资源研究所优秀博士论文、中国地理学会优秀青年论文奖等奖励。目前正主持国家自然科学基金项目2项，广东省自然科学基金1项，中央高校专项经费支持项目2项，同时承担城市与区域规划、村镇规划、人口规划等多项规划项目。国际期刊Journal of Geographical Reserach（编辑）、Journal of Environmental Management (SSCI)、Sustainability (SSCI)客座编辑和Scientifica领域客座主编。
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8883netapp下载地址:研究方向
领域：城市地理、城镇化与城市规划；?
方向：新型城镇化与低碳可持续发展、低碳城市与土地利用、空间优化与政策模拟、多尺度区域经济差异；
招生：硕士研究生、博士研究生、博士后、专职研究员/副研究员；?
欢迎地理学（人文地理，地理科学，GIS及自然地理）、城市规划、生态学、管理学及环境科学等相关专业学生保送与报考硕士研究生和博士研究生。
8883netapp下载地址:?
8883netapp下载地址:工作经历
2015年7月至2017年12月，8883netapp下载地址 城市与区域规划系 讲师/硕士生导师
2017年12月至今，8883netapp下载地址 城市与区域规划系 副教授/博士生导师
2018年1月至2018年3月， 美国University of Maryland, College Park, 地理系访问学者(合作导师：Laixiang Sun院士、Klaus Hubacek教授、Kuishuang Feng教授)
2018年10月至2019年9月，美国麻省理工学院(MIT)城市研究与规划系(DUSP)中国未来城市实验室(CFC)访问学者(合作导师: Siqi Zheng 教授）
8883netapp下载地址:?
8883netapp下载地址:社会任职
美国麻省理工学院(MIT)中国未来城市实验室兼职研究员
国际期刊Journal of Geographical Research学术编辑
国际期刊Journal of Environmental Management客座主编
国际期刊Sustainability (SSCI)客座主编
国际期刊Scientifica客座主编
国家自然科学基金通讯评审人
中国地理学会城市地理专业委员会委员
中国地理学会城市与区域管理专业委员会委员
中国地理学会人文地理专业委员会委员
中国地理学会会员
Applied Energy (SCI)、Urban Studies(SSCI)、Cites(SSCI)、Habitat International(SSCI)、Journal of Cleaner Production(SCI)、Ecological Indicators(SCI)、Natural Resources Forum(SCI)、Science of the Total Environment(SCI)、Environmental Science and Pollution Research (SCI)、Energy Efficiency(SCI)、地理研究、地理科学、人文地理、经济地理等30个国内外期刊审稿人。
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8883netapp下载地址:讲授课程
研究生课程：人文地理学 （导师组）?
本科生课程：人文地理学，城市地理学、社会调查研究方法、文献检索与论文写作
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8883netapp下载地址:论著专利
*(Corresponding author)
114. Liu X, Pei F, Wen Y, Li X,?Wang SJ*, Wu C, Cai Y, Wu J, Chen J, Feng K, Liu G, Hubacek K, Davis S, Yuan W, Lu Y, Liu Z.?Global urban expansion offsets climate-driven?increases in terrestrial net primary productivity. Nature Communications, 2019,?10:5558. (IF=11.878, Research Article)
113. Wang SJ, Gao S, Li SJ, Feng KS. Strategizing the relation between urbanization and air pollution: Empirical evidence from global countries. Journal of Cleaner Production, 2020, 243: 118615. ?(IF=6.65)
112. Li Y, Zhu K, Wang SJ*.?Polycentric and dispersed population distribution increases PM2.5concentrations: Evidence from 286 Chinese cities, 2001–2016. Journal of Cleaner Production, 2019,?https://doi.org/10.1016/j.jclepro.2019.119202. (IF=6.65)
111. Xiong WT, ?Liu ZC, Wang SJ,?Li YC. Visualizing the evolution of per capita carbon emissions of Chinese cities, 2001-2016. Environment and Planning A, 2019. DOI: 10.1177/0308518X19881665.
110. Wang SJ, Wang JY, Liu XP. How do urban spatial structures evolution in the high-speed rail era? Case study of Yangtze River Delta, China. Habitat International, 2019, https://doi.org/10.1016/j.habitatint.2019.102051. (IF=3.8)
109. Wang SJ, Wang JY, Liu XP. Understanding fine-scale urban land use dynamics using big data and machine learning (Random Forests): The case of Huizhou, China. Landscape Ecology, 2019. (IF=4.35)
108. Wang SJ, Wang JY, Fang CL, Feng KS. Inequalities in carbon intensity in China: a multi-scalar and multi-mechanism analysis. Applied Energy, 2019, 254: 113720. (IF=8.426)
107. Wang JY, Wang SJ*, Li SJ, Feng KS. Coupling analysis of urbanization and energy-environment efficiency: Evidence from Guangdong province. Applied Energy, 2019, 254: 113650. (IF=8.426)
106. Liu Y, Wang SJ*, Qiao ZX, Wang YH, Miao CH. Estimating the dynamic effects of socioeconomic development on industrial SO2 emissions in Chinese cities using a DPSIR causal framework. Resources, Conservation & Recycling, 2019, 150: 104450. (IF=7.04)
105. Chen J, Wang SJ*, Zhou CS, Li M. Does the path of technological progress matter in mitigating China's PM2.5 concentrations? Evidence from three urban agglomerations in China. Environmental Pollution, 2019, 254: 113012. (IF=5.714)
104. Zhao YB, Liu XJ, Wang SJ*, Ge YJ. Energy relations between China and the countries along the Belt and Road: An analysis of the distribution of energy resources and interdependence relationships. Renewable and Sustainable Energy Reviews, 2019,107, 133-144. (IF=10.556)
103. Liu XP, Wang SJ*, Wu PJ, Feng KS, Hubacek K, Li X, Sun LX. Impacts of Urban Expansion on Terrestrial Carbon Storage in China. Environmental Science & Technology, 2019, 53 (12), 6834-6844. (IF=7.15)
102. Shen J, Wang SJ*, Liu W, Chu J. Does migration of pollution-intensive industries impact environmental efficiency? Evidence supporting “Pollution Haven Hypothesis”. Journal of Environmental Management, 2019, 242, 142-152. (IF=4.88)
101. Wang JY, Wang SJ*, Li SJ. Examining the spatially varying effects of factors on PM2. 5 concentrations in Chinese cities using geographically weighted regression modeling. Environmental Pollution, 2019, 248, 792-803. (IF=5.714)
100. Zhou CS, Wang SJ*, Wang JY. Examining the influences of urbanization on carbon dioxide emissions in the Yangtze River Delta, China: Kuznets curve relationship. Science of The Total Environment 675, 472-482. (IF=5.59)
99.Wang J, Wang SJ*, Li S, Cai Q, Gao S. Evaluating the energy-environment efficiency and its determinants in Guangdong using a slack-based measure with environmental undesirable outputs and panel data model. Science of the Total Environment, 2019, 663: 878-888. (IF=5.589)
98. Li S, Zhou C, Wang SJ*. Does modernization affect carbon dioxide emissions? A panel data analysis. Science of the Total Environment, 2019,663:426-435. (IF=5.589)
97. Wang SJ, Fang C, Sun L, Su Y, Chen X, Zhou C, Feng K, Hubacek K. Decarbonizing China’s Urban Agglomerations. Annals of the American Association of Geographers, 2019 109 (1), 266-285. (IF=3.08).
96. Wang SJ, Wang JY, Fang CL, Li SJ. Estimating the impacts of urban form on CO2 emission efficiency in the Pearl River Delta, China. Cities, 2019, 85: 117-129. (IF=3.8)
95. Wang SJ, J Wang, S Li, C Fang, K Feng. Socioeconomic driving forces and scenario simulation of CO2 emissions for a fast-developing region in China. Journal of Cleaner Production, 2019, 216:217-229. (IF=6.65)
94. Wang SJ, J Zeng, X Liu. Examining the multiple impacts of technological progress on CO2 emissions in China: A panel quantile regression approach. Renewable and Sustainable Energy Reviews, 2019, 103, 140-150. (IF=10.556)
93. Li S, Wang SJ*. Examining the effects of socioeconomic development on China's carbon productivity: A panel data analysis. Science of The Total Environment, 2019, 659, 681-690. (IF=5.589)
92. Liu Q, Wang SJ*, Zhang W, Li J, Dong G. The effect of natural and anthropogenic factors on PM2.5: Empirical evidence from Chinese cities with different income levels. Science of the Total Environment, 2019, 653, 157-167. (IF=5.589)
91. Liu Q, Wang SJ*, Zhang W, Li J, Kong Y. Examining the effects of income inequality on CO2 emissions: Evidence from non-spatial and spatial perspectives. Applied Energy, 2019, 236, 163-171. (IF=8.426)
90. Wang SJ, Y Huang, Y Zhou. Spatial spillover effect and driving forces of carbon emission intensity at the city level in China. Journal of Geographical Sciences, 2019, 29 (2), 231-252. (IF=2.59)
89. Wang SJ, Shi C, Fang C, Feng K. Examining the spatial variations of determinants of energy-related CO2 emissions in China at the city level using Geographically Weighted Regression Model. Applied Energy, 2019, 235, 95-105. (IF=8.426)
88. Li S, Zhou C, Wang SJ*, S Gao, Liu Z. Spatial Heterogeneity in the Determinants of Urban Form: An Analysis of Chinese Cities with a GWR Approach. Sustainability, 2019, 11 (2), 479. (IF=2.8)
87. Ma H, Sun W, Wang SJ*, Kang L. Structural contribution and scenario simulation of highway passenger transit carbon emissions in the Beijing-Tianjin-Hebei metropolitan region, China. Resources, Conservation and Recycling, 2019, 140, 209-215. (IF=7.04)
86. Ou J, Liu X, Wang SJ*, Xie R, Li X. Investigating the differentiated impacts of socioeconomic factors and urban forms on CO2 emissions: Empirical evidence from Chinese cities of different developmental levels. Journal of Cleaner Production, 2019, 226, 601-614. (IF=6.65)
85. Wang SJ, Li GD, Fang CL. Urbanization, economic growth, energy consumption, and CO2 emissions: Empirical evidence from countries with different income levels. Renewable & Sustainable Energy Reviews, 2018, 81: 2144-2159. (SCI, IF=10.556)
84. Wang SJ, Zeng JY, Huang YY. The effects of urbanization on CO2 emissions in the Pearl River Delta: a comprehensive assessment and panel data analysis. Applied Energy, 2018, 228: 1693-1706. (SCI, IF=8.426)
83. Liu Q, Wang SJ*, Zhang W, Li J. Income distribution and environmental quality in China: A spatial econometric perspective. Journal of Cleaner Production, 2018, 205: 14-26. (IF=6.65)
82. Chen J, Zhou CS, Wang SJ*, Li SJ. Impacts of energy consumption structure, energy intensity, economic growth, urbanization on PM2.5 concentrations in countries globally. Applied Energy, 2018, 230(15): 94-105. (SCI, IF=8.426)
81. Li SJ, Zhou CS, Wang SJ*, Hu JC. Dose urban landscape pattern affect CO2 emission efficiency? Empirical evidence from megacities in China. Journal of Cleaner Production, 2018, 203: 164-178. (SCI, IF=6.65)
80.Wang SJ, Liu XP, Yang X, Zou N, Wang JY. Spatial variations of PM2.5 in Chinese cities for the joint impacts of human activities and natural conditions: A global and local regression perspective. Journal of Cleaner Production, 2018, 203: 143-152. (SCI, IF=6.65)
79. Wang SJ, Zhou CS. Examining the determinants and the spatial nexus of city-level CO2 emissions in China: A dynamic spatial panel analysis of China's cities. Journal of Cleaner Production, 2018, 171: 917-926. (SCI, IF=6.65)
78. Liu QQ, Wang SJ*, Zhang WZ, Li JM. Income distribution and environmental quality in China: A spatial econometric perspective. Journal of Cleaner Production, 2018, 205: 14-26. (IF=6.65)
77. Wang SJ, Wang JY, Wang Y. Effect of land prices on the spatial differentiation of housing prices: Evidence from cross-county analysis in China. Journal of Geographical Sciences, 2018, 28(6): 725-740. (SCI, IF=2.56)
76. Wang SJ, Wang JY, Zhou YQ. Estimating the effects of socioeconomic structure on CO2 emissions in China using an econometric analysis framework. Structural Change and Economic Dynamics, 2018, 47: 18-27. (SSCI, IF=2.54)
75. Zhou CS, Li SJ, Wang SJ*. Examining the Impacts of Urban Form on Air Pollution in Developing Countries: A Case Study of China’s Megacities. International Journal of Environmental Research and Public Health, 2018, 15, 1565. (SCI, IF=2.6)
74. Zhou CS, Wang SJ*, Feng KS. Examining the socioeconomic determinants of CO2 emissions in China: A historical and prospective analysis. Resources, Conservation & Recycling, 2018, 130: 1-11. (SCI, IF=7.04)
73. Chen J, Zhou CS, Wang SJ*, Hu JC. Identifying the socioeconomic determinants of population exposure to particulate matter (PM2.5) in China using geographically weighted regression modeling. Environmental Pollution, 2018, 241: 494-503. (SCI, IF=5.8)
72. Zhou CS, Shi CY, Wang SJ*, Zhang GJ. Estimation of eco-efficiency and its influencing factors in Guangdong province based on Super-SBM and panel regression models. Ecological Indicators, 2018, 86: 67-80. (SCI, IF=4.5)
71. Liu QQ, Wang SJ*, Zhang WZ, Zhan DS, Li JM. Does foreign direct investment affect environmental pollution in China's cities? A spatial econometric perspective. Science of the Total Environment, 2018, 613: 521-529. (IF=5.589)
70. Zhou CS, Chen J, Wang SJ*. Examining the effects of socioeconomic development on fine particulate matter (PM2.5) in China's cities using spatial regression and the geographical detector technique. Science of the Total Environment, 2018, 619: 436-445. (IF=5.589)
69. Zhou CS, Chen J, Wang SJ*. Does Migrant Status and Household Registration Matter? Examining the Effects of City Size on Self-Rated Health. Sustainability, 2018, 10:2204. （SSCI, IF=2.8）
68. Yang WY, Wang SJ*, Zhao XM. Measuring the Direct and Indirect Effects of Neighborhood-Built Environments on Travel-related CO2 Emissions: A Structural Equation Modeling Approach. Sustainability, 2018, 10:1372. （SSCI, IF=2.8）
67. Wang SJ, Liu XP, Zhou CS, Hu JC, Ou JP. Examining the impacts of socioeconomic factors, urban form, and transportation networks on CO2 emissions in China’s megacities. Applied Energy, 2017, 185, 189-200. (SCI, IF=8.426)
66.Wang SJ, Liu XP. China’s city-level energy-related CO2 emissions: Spatio-temporal patterns and driving forces. Applied Energy, 2017, 200(15): 204-214. (SCI, IF=8.426).
65. Wang SJ, Zhou CS, Wang ZB, Feng KS, Hubacek K. The characteristics and drivers of fine particulate matter (PM2.5) distribution in China. Journal of Cleaner Production, 2017,142, 1800-1809. (SCI, IF=6.65)
64. Wang SJ, Su YX, Zhao YB. Regional inequality, spatial spillover effects and influencing factors of China’s city-level energy-related carbon emissions. Journal of Geographical Sciences, 2017. (SCI=2.36)
63.Yang X, Wang SJ*, Zhang WZ, Yu JH. Are the temporal variation and spatial variation of ambient SO2 concentrations determined by different factors? Journal of Cleaner Production, 2017, 167, 824-836. (SCI, IF=6.65)
62.Zhao YB, Wang SJ*, Ge YJ, Liu QQ, Liu XF. The spatial differentiation of the coupling relationship between urbanization and the eco-environment in countries globally: a comprehensive assessment. Ecological Modelling, 2017, 360: 313-327. (SCI, IF=3.36).
61.Liu QQ, Wang SJ*, Zhang WZ, Zhao YB. China’s municipal public infrastructure:? Estimating construction levels and investment efficiency using the entropy method and a DEA model. Habitat International, 2017, 64: 59-70. (SSCI=3.28).
60.He JQ, Wang SJ*, Liu YY, Ma HT, Liu QQ. Examining the relationship between urbanization and the eco-environment using a coupling analysis: Case study of Shanghai, China. Ecological Indicators, 2017,77:185-193. (SCI, IF= 4.5)
59. Yang X, Wang SJ*, Zhang WZ, Zhan DS, Li JM. The impact of anthropogenic emissions and meteorological conditions on the spatial variation of ambient SO2 concentrations: a panel study of 113 Chinese cities. Science of the Total Environment, 2017, 584: 318-328. (IF=5.589)
58. Wang Y, Wang SJ*, Li GD, Zhang HO, Jin LX, Su YX, Wu KM. Identifying the determinants of housing prices in China using spatial regression and the geographical detector technique. Applied Geography, 2017, 79, 26-36. (SSCI)
57. Wang SJ, Fang CL, Wang Y. Spatiotemporal variations of energy-related CO2 emissions in China and its influencing factors: An empirical analysis based on provincial panel data. Renewable & Sustainable Energy Reviews, 2016, 55: 505-515. (SCI, IF=10.556)
56. Wang SJ, Li QY, Fang CL, Zhou CS. The relationship between economic growth, energy consumption, and CO2 emissions: Empirical evidence from China. Science of the Total Environment, 2016, 542: 360-371. (IF=5.589)
55. Wang SJ, Zhou CS, Li GD, Feng KS. CO2, economic growth, and energy consumption in China’s provinces: Investigating the spatiotemporal and econometric characteristics of China’s CO2 emissions. Ecological Indicators, 2016, 69:184-195. (SCI, IF=4.5)
54. Yang X, Wang SJ*, Zhang WZ, Li JM. Impacts of energy consumption, energy structure and treatment technology on SO2 emissions: a multi-scale LMDI decomposition analysis in China. Applied Energy, 2016, 184, 714-726. (SCI, IF=8.4)
53. Li GD, Fang CL, Wang SJ*, Sun Siao. The effect of economic growth, urbanization, and industrialization on fine particulate matter (PM2.5) concentrations in China. Environmental Science & Technology, 2016, 50(21): 11452-11459. (SCI, IF=7.15)
52. Fang CL, Li GD, Wang SJ*. Changing and differentiated urban landscape in China: Spatiotemporal patterns and driving Forces. Environmental Science & Technology, 2016, 50: 2217-2227. (SCI, IF=7.15)
51. Zhao YB, Wang SJ*, Zhou CS. Understanding the relation between urbanization and the eco-environment in China's Yangtze River Delta using an improved EKC model and coupling analysis. Science of the Total Environment, 2016, 571: 862-75. (IF=5.589)
50. Li GD, Fang CL, Wang SJ*. Exploring spatiotemporal changes in ecosystem-service values and hotspots in China. Science of the Total Environment, 2016, 545: 609-620. (IF=5.589)
49. Wang SJ, Fang CL, Li GD. Spatiotemporal Characteristics, Determinants and Scenario Analysis of CO2 Emissions in China Using Provincial Panel Data. PLOS One, 2015,10(9): e0138666. (SCI, IF=3.2)
48. Wang SJ, Wang Y. Exploring the Relationship between Urbanization and Carbon Dioxide Emission: A Case Study of China. International Conference on Industrial Technology and Management Science, 2015, 01. (EI)
47. Wang SJ, Fang CL, Wang Y, Huang YB, Ma HT. Quantifying the relationship between urban development intensity and carbon dioxide emissions using a panel data analysis. Ecological Indicators, 2015, 49: 121-131. (SCI, IF=4.5)
46. Fang CL, Wang SJ*, Li GD. Changing urban forms and carbon dioxide emissions in China: A case study of 30 provincial capital cities. Applied Energy, 2015, 158: 519-531. (SCI, IF=8.4)
45. Zhao YB, Wang SJ*. The Relationship between Urbanization, Economic Growth and Energy Consumption in China: An Econometric Perspective Analysis. Sustainability, 2015, 7(5): 5609-5627. (SSCI=2.78)
44. Wang SJ, Fang CL, Guan XL, Pang B. Urbanization, energy consumption, and CO2 emissions in China: a panel data analysis of China’s province. Applied Energy, 2014, 136: 738–749. (SCI, IF=8.4)
43. Wang SJ, Ma HT, Zhao YB. Exploring the Relationship between Urbanization and the Eco-environment–A Case Study of Beijing-Tianjin-Hebei Region. Ecological indicators, 2014, 45: 171–183. (SCI, IF=4.5)
42. Wang SJ, Fang CL, Ma HT, Wang Yang, Qin Jing. Spatial differences and multi-mechanism of carbon footprint based on GWR model in provincial China. Journal of Geographical Sciences, 2014, 24(4): 804-822. (SCI, IF=2.36)
41.Liu XP, Ou JP, Chen YM, Wang SJ, Li X, Jiao LM, Liu YL. Scenario simulation of urban energy-related CO2 emissions by coupling the socioeconomic factors and spatial structures. Applied Energy, 2019, 238: 1163-1178. (IF=8.4)
40. Liu XP, Ou JP, Wang SJ, Li X, Yan YC, Liao YM, Liu YL. Estimating spatiotemporal variations of city-level energy-related CO2 emissions: An improved disaggregating model based on vegetation adjusted nighttime light data. Journal of Cleaner Production, 2018, 177, 101-114. (SCI, IF=5.65)
39. Liao W, Liu X, Li D, Luo M, Wang D, Wang SJ, Baldwin J, Lin L, Li X. Feng K, Hubacek K, Yang X. Stronger Contributions of Urbanization to Heat Wave Trends in Wet Climates. Geophysical Research Letters, 2018, 45 (20), 11,310-11,317
38. Liu XP, Hu GH, Chen YM, Li X, Xu XC, Li SY, Pei FS, Wang SJ. High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform. Remote sensing of Environment, 2018, 209: 227-239. (SCI, IF=6.6)
37. Li X, Chen GZ, Liu XP, Xu XC, Wang SJ et al. A New Global Land-Use and Land-Cover Change Product at a 1-km Resolution for 2010 to 2100 Based on Human–Environment Interactions. Annals of the Association of American Geographers, 2017, 107(5): 1040-1059.
36. Liu XP, Liang X, Li X, Xu XC, Ou JP, Chen YM, Li SY, Wang SJ, Pei FS. A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects. Landscape and Urban Planning, 2017, 168: 94-116. (SSCI, IF=4.56)
35. Zhan DS, Kwan MP, Zhang WZ, Wang SJ, Yu JH. Spatiotemporal Variations and Driving Factors of Air Pollution in China. International Journal of Environmental Research and Public Health, 2017, 14, 1538. (SCI, IF=2.10)
34. Wang Y, Zhao LL, Sobkowiak L, Guan XL, Wang SJ. Impact of urban landscape and environmental externalities on spatial differentiation of housing prices in Yangzhou City. Journal of Geographical Sciences, 2015, 25(9): 1122-1136. (SCI, IF=2.36)
33. Lin XQ. Wang Y, Wang SJ, Wang D. Spatial differences and driving forces of land urbanization in China. Journal of Geographical Sciences, 2015, 25(5): 545-558. (SCI, IF=2.36)
32. Ma HT, Fang CL, Pang B, Wang SJ. Structure of Chinese city network as driven by technological knowledge flows. Chinese Geographical Science, 2015, 25(4): 498-510. (SCI, IF=1.1)
31. Qin J, Fang CL, Wang Y, Li GD, Wang SJ. Evaluation of the three-dimensional urban expansion: A case study of Yangzhou, China. Chinese Geographical Sciences, 2014. (SCI, IF=1.1)
30. 王少剑, 高爽, 黄永源, 史晨怡. 基于超效率SBM模型的中国城市碳排放绩效时空演变格局及发展趋势预测研究. 地理学报, 2019 (排版).
29. 王少剑, 黄永源. 中国城市碳排放强度的空间溢出效应及驱动因素探究. 地理学报, 2019, 74(6): 1131-1148.
28. 王少剑, 苏咏娴, 赵亚博. 中国城市能源消费碳排放的区域差异、空间溢出效应及影响因素分析. 地理学报, 2018, 73(3): 426-440.
27. 王少剑, 王洋, 蔺雪芹, 张虹鸥. 中国县域住宅价格的空间差异特征与影响机制. 地理学报, 2016, 71(8): 1329-1342.
26. 王少剑, 王洋, 赵亚博. 1990年以来广东区域经济发展的空间溢出效应与驱动力研究. 地理学报, 2015, 70(6): 965-979.
25. 周春山, 金万富, 张国俊, 黎明, 王少剑. 中国国有建设用地供应规模时空特征及影响因素. 地理学报, 2019, 74(1): 26-30.
24. 王少剑, 方创琳. 京津冀地区城市化与生态环境交互耦合关系定量测度. 生态学报, 2015, 35(7): 1-14.
23.王少剑, 高爽, 王宇渠. 基于流空间视角的城市群空间结构研究：以珠三角城市群为例. 地理研究, 2019, 38(8): 1849-1861.
22.王少剑, 高爽, 李世杰. 基于GWR模型的中国城市雾霾污染影响因素的空间异质性研究, 2019 (in press).
21. 王少剑, 方创琳, 王洋, 马海涛, 李秋颖. 广东省区域经济差异的方向及影响机制. 地理研究, 2013, 32(12):2244-2256.
20.刘倩倩, 张文忠, 王少剑, 李博, 湛东升. 中国城市市政基础设施投资效率及对经济增长的影响. 地理研究, 2017, 36(9): 1627-1640.
19. 王少剑, 王洋, 赵亚博. 广东区域经济差异的多尺度与多机制研究.地理科学, 2014, 30(10): 1184-1192.
28. 王少剑, 刘艳艳, 方创琳. 能源消费CO2排放研究综述. 地理科学进展, 2015, 34(2): 151-164.
17. 王少剑, 刘志涛, 张婷婷, 魏嘉仪, 黄孚中. 服务业与多维城镇化的耦合协调研究——以广州市为例. 热带地理, 2019, 39(3): 450-460.
16. 方创琳, 王少剑*, 王洋. 中国低碳生态新城新区：现状、问题及对策. 地理研究, 2016, 35(9): 1601-1614.
15. 周春山, 杨高, 王少剑*. 2000-2010年深圳市农民工集聚空间的演变特征及影响机制. 地理科学, 2016, 11: 521-530.
14. 刘艳艳, 王少剑*. 珠三角地区城市化与生态环境的交互胁迫关系及耦合协调度. 人文地理, 2015, 03: 64-71.
13. 王洋, 王少剑*, 秦静.中国城市土地城市化水平与进程的空间评价.地理研究, 2014.33(12): 2228-2238.
12. 金万福, 王少剑*, 邓神志, 刘 扬. 互联网技术应用对零售业空间组织影响研究进展. 人文地理, 2018, 161: 1-10.
11. 陈静, 周钰荃, 王少剑*. 基于生态位理论的城市自然－生产－社会系统耦合关系研究—以广州市为例. 亚热带资源与环境学报, 2017, 12(2): 65-75.
10. 杨高, 周春山, 王少剑. 快速移民城市深圳人口增长的时空特征及模式. 8883netapp下载地址学报(自然科学版), 2019, 36: 525-535.
9. 李秋颖, 方创琳, 王少剑. 中国省级国土空间利用质量评价：基于“三生空间视角”. 地域研究与开发, 2016, 35(5): 163-169.
8. 李广东, 方创琳, 王少剑, 张蔷. 城乡用地遥感识别与时空变化研究进展.自然资源学报, 2016, 31(4): 703-718.
7. 王洋, 王德利, 刘丽华, 闫梅, 王少剑. 中国城市住宅价格的空间分化及其土地市场影响. 中国土地科学, 2015, 29(6): 33-40.
6. 王洋, 杨忍, 关兴良, 王少剑. 城市住宅价格空间分异的理论基础及应用路径. 中国房地产, 2015, 24: 16-27.
5. 李秋颖, 方创琳, 王少剑, 王洋. 山东省人口城镇化与空间城镇化协调发展及空间格局. 地域开发与研究, 2015, 34(1): 31-36.
4. 王洋, 李强, 王少剑, 秦静. 扬州市住宅价格空间分异的影响因素与驱动机制. 地理科学进展, 2014, 33(3): 1-14.
3. 马海涛, 方创琳, 王少剑. 全球创新型城市的基本特征及其对中国的启示. 城市规划学刊, 2013,1:69-77.
2. 赵亚博, 方创琳, 王少剑. 中亚地区油气资源开发及对中国油气进口战略影响的探讨. 干旱区地理, 2014, 37(5): 1-11.
1. 王洋, 王德利, 王少剑. 中国城市住宅价格的空间分异格局及影响因素. 地理科学, 2013, 33(10): 1157-1165.
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专利
2. 一种城市群碳排放绩效的核算方法，中国发明专利，CN201510565763.5，2015年
1. 基于Landsat TM和ETM影像的城市形态与碳排放相关关系量算方法，中国发明专利，CN2015105657620，2015年
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8883netapp下载地址:科研项目
主持科研课题：?
1. 中央高校基本科研业务费重点培育项目（19lgzd09）城市建成环境对城市居民出行碳排放的作用与优化模拟，2019.01-2020.12
2. 广东省高层次人才项目: 耦合空间和社会经济的城市碳排放核算与模拟，2018.01-2021.12.
3. 国家自然科学基金项目（41601151）碳排放约束下的城市空间模式优化研究—以珠江三角洲城市群为例，2017.01-2019.12
4.??珠江科技新星项目(201806010187)：基于长期能源替代规划系统理论的城市节能减排的路径与潜力研究。2018.06-2021.06
5. 国家自科科学基金项目（41701169）多尺度建成环境对居民出行碳排放的影响机理研究-以广州市为例， 2018.01-2020.12
6. 广东省自然科学基金项目（42030402）城市空间形态与城市碳排放绩效的关联机理及调控政策研究，2016.09-2018.09
7. 中央高校基本科研业务费青年教师培育项目: 城市能源利用低碳化的路径与潜力研究—以广州市为例（2016.01-2017.12）
8. 8883netapp下载地址青年教师起步资助计划: 城市化过程与生态环境效应研究-以广州市为例 （2015.07-2016.12）
参与科研课题：
9.?国家自然科学基金面上项目,41871111,基于环境公正视角的工业园区和邻近社区的空间关联与互动机理研究,2019.01-2022.12
10. 国家自然科学基金重大项目：京津冀城市群城镇化与生态环境交互耦合与胁迫效应，2016-2020
11. 国家自然科学基金重点项目:基于生产要素集聚的中小城镇发展模式研究，2013-2015
12. 国家社会科学基金重大项目:新型城镇化背景下中国城市发展的空间格局优化研究，2013-2015
13. 国家自然科学基金项目：城市生态-生活-生产空间交互耦合机理与优化模拟:以深圳市为例，2016.01-2018,12
14. 国家自然科学基金项目：中国城市间知识流动网络的空间组织与格局演变，2016.01-2018,12
15. 国家自然科学基金项目：城镇化质量与水资源约束强度的时空耦合机理及协同模式，2016.01-2018,12
16. 中科院重大研究项目课题“中亚矿产资源地缘配置格局及其对我国地缘安全的影响”（2016-2020）
8883netapp下载地址:获奖情况
1. 2019年全国青年地理科技奖（中国地理学会科学技术奖-青年科技奖）
2. 2019年8883netapp下载地址“优秀班主任”
3. 2018年住房和城乡建设部华夏建设科学技术三等奖
4. 2017年广东省特支计划科技创新青年拔尖人才
5. 2017年珠江科技新星人才项目
6. 2017年荣获中国科学院百篇优秀博士学位论文
7.?2017年荣获《Journal of Geographical Sciences》优秀作者奖
8.?2016年荣获《Journal of Geographical Sciences》优秀作者奖
9. 2016年荣获8883netapp下载地址科技论文奖
10. 2015年荣获中国科学院院长奖
11. 2015年荣获北京市优秀毕业生
12. 2015年荣获中国科学院优秀毕业生
13. 2015年荣获中国科学院地理科学与资源研究所优秀毕业生
14. 2015年荣获中国科学院地理科学与资源研究所优秀博士论文
15. 2015年荣获中国科学院地理科学与资源研究所所长奖
16. 2013年荣获中国地理学会优秀青年论文奖
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