1.Tang LN*, Shao GF, and Groffman PM. 2024. Urban trees: how to maximize their benefits for humans and the environment. Nature, 626(7998): 261.
2.Lan T, Shao GF, Xu ZB, Tang LN*, Dong HS. 2023. Considerable role of urban functional form in low-carbon city development. Journal of Cleaner Production, 392:136256.
3.Wang L, Li QY, Qiu QY, Hou LP, Ouyang JY, Zeng RH, Huang S, Li J, Tang LN*, and Liu Y*. 2022. Assessing the ecological risk induced by PM2.5 pollution in a fast developing urban agglomeration of southeastern China. Journal of Environmental Management, , 324: 116284.
4.Qian Y, Dong Z, Yan Y, and Tang LN*. 2022. Ecological risk assessment models for simulating impacts of land use and landscape pattern on ecosystem services. Science of the Total Environment, 833: 155218.
5.Lan T, Shao GF, Tang LN*, Xu ZB, Zhu W, and Liu LY. 2021. Quantifying spatiotemporal changes in human activities induced by COVID-19 Pandemic using daily nighttime light data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14: 2740-2753.
6.Lan T, Shao GF, Xu ZB, Tang LN* and Sun L. 2021. Measuring urban compactness based on functional characterization and human activity intensity by integrating multiple geospatial data sources Ecological Indicators. Ecological Indicators, 121: 107177.
7.Wang L, Bi JZ, Meng X, Geng GN, Huang KY, Li J, Tang LN*, and Liu Y*. 2020. Satellite-based assessment of the long-term efficacy of PM2.5 pollution control policies across the Taiwan Strait. Remote Sensing of Environment, 251: 112067.
8.Sun L, Tang LN*, Shao GF, Qiu QY, Lan T, and Shao JY. 2020. A machine learning-based classification system for urban built-up areas using multiple classifiers and data sources. Remote Sensing, 12(1): 91.
9.Zhao FQ, Tang LN*, Qiu QY & Wu G. 2020. The compactness of spatial structure in Chinese cities: measurement, clustering patterns and influencing factors. Ecosystem Health and Sustainability, 6(1): 1743763.
10.Shao GF, Tang LN*, and Liao JF. 2019. Overselling overall map accuracy misinforms about research reliability. Landscape Ecology, 34(11): 2487-2492..
11.Jia YQ, Tang LN*, Xu M, and Yang XY. 2019. Landscape pattern indexes for evaluating urban spatial morphology - a case study of Chinese cities. Ecological Indicators, 99: 27-37.
12.Zhu W, Xu LX, Tang LN*, and Xiang XQ. 2019. Eco-efficiency of the Western Taiwan Straits Economic Zone: An evaluation based on a novel eco-efficiency model and empirical analysis of influencing factors, Journal of Cleaner Production, 234: 638-652..
13.Tang LN, Wang L, Li QY, and Zhao J. 2018. A framework designation for the assessment of urban ecological risks. International Journal of Sustainable Development & World Ecology, 25(5): 387-395.
14.Jia YQ, Tang LN*, and Wang L. 2017. Influence of ecological factors on estimation of impervious surface area using Landsat 8 imagery. Remote Sensing, 9(7): 751.
15.Liao JF, Tang LN*, Shao GF, Xu XD, Chen DK, and Xu T. 2016. Incorporation of extended neighborhood mechanisms and its impact on urban land-use cellular automata simulations. Environmental Modelling & Software, 75: 163-175.
16.Liao JF, Tang LN*, Shao GF, Qiu QY, Wang CP, Zheng SN, and Su XD. 2014. A neighbor decay cellular automata approach for simulating urban expansion based on particle swarm intelligence. International Journal of Geographical Information Science, 28(4): 720-738.
17.Tang LN, Zhao Y, Yin K, and Zhao J. 2013. City Profile: Xiamen. Cities, 31: 615-624.
18.Tang LN, Su XD, Shao GF, Zhang H, and Zhao J. 2012. A Clustering-Assisted Regression (CAR) approach for developing spatial climate data sets in China. Environmental Modelling & Software, 38: 122-128.
19.Zhao J, Yu Song, Tang LN, Shi LY, and Shao GF. 2011. China’s Cities need to grow in a more compact way. Environmental Science & Technology, 45(20): 8607-8608.
20.Tang LN, Shao GF, Piao ZJ, Dai LM, Jenkins MA, Wang SX, Wu G, Wu JG, and Zhao JZ. 2010. Forest degradation deepens around and within protected areas in East Asia. Biological Conservation, 143(5): 1295-1298.