Publications ([Google Scholar])
(Zheng Q=Zheng Qiming; #=Corresponding Author; ^=supervised students/RA)
(Total citation=1032; H-index=18)

2024
[34] Chen, B., Zheng, Q, Sun, W., Yang, G., Feng, T., & Wang, Y. (2024). Geo-STO3Net: A deep neural network integrating geographical spatiotemporal information for surface ozone estimation. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

[33] Zheng Q Weng Q. Contrasting pattern of urban expansion and urban land-use intensification of global megacities using nighttime light time series data (Chapter 7). Geospatial Approaches to Sustainable Cities

[32] ^Dong B, Zheng Q#, Lin Y, Chen B, Ye Z, Huang C, et al. Integrating physical model-based features and spatial contextual information to estimate building height in complex urban areas. International Journal of Applied Earth Observation and Geoinformation

2023
[31] Teo HC, Tan N, Zheng Q, et al. Uncertainties in deforestation emission baseline methodologies and implications for carbon markets. Nature Communications

[30] Zheng Q#, Weng Q#. The emerging opportunities to improve light pollution measurement. Science (eLetter, non peer-reviewed commentary)

[29] Zheng Q#, Ha T^, Prishchepov A, et al. The neglected role of abandoned cropland in supporting food security and climate change mitigation. Nature Communications

[28] Zheng Q, Seto KC, Zhou Y, You S, Weng Q. Nighttime light remote sensing for urban applications: progress, challenges, and prospects. ISPRS Journal of Photogrammetry and Remote Sensing (ESI Highly Cited Paper🏆)

[27] Guo, B., Hu, D., & Zheng, Q. (2023). Potentiality of SDGSAT-1 glimmer imagery to investigate the spatial variability in nighttime lights. International Journal of Applied Earth Observation and Geoinformation (ESI Highly Cited Paper🏆)

2022
[26] Zheng Q#, Kelly Siman, Yiwen Zeng, et al. Future land-use competition constrains natural-climate solutions. Science of the Total Environment

[25] Zheng Q#, Weng Q, Zhou Y, et al. Impact of temporal composite on nighttime light (NTL) data and its applications. Remote Sensing of Environment

[24] Teo HC, Koh LP, Zheng Q, et al. Large-scale reforestation can increase water yield and reduce drought risk for water-insecure regions in the Asia-Pacific. Global Change Biology

[23] Sreekar R; Zeng Y; Zheng Q, et al. Nature-based climate solutions for expanding the global protected area network. Biological Conservation

[22] You S^; Zheng Q, Wang K, et al. Identifying the spatiotemporal dynamics of forest ecotourism values with remotely sensed images and social media data: a perspective of public preferences. Journal of Cleaner Production

[21] Lin Y, Zhang M, Gan M, Huang L, Zhu C, Zheng Q, et al. Fine identification of the supply–demand mismatches and matches of urban green space ecosystem services with a spatial filtering tool. Journal of Cleaner Production

2021
[20] Zheng Q Weng Q, Wang K. Characterizing urban changes of 30 global mega-cities using dense nighttime light time series stacks. ISPRS Journal of Photogrammetry and Remote Sensing

[19] Zheng Q#, Teo HC, Koh LP. Artificial light at night advances spring phenology in the United States. Remote Sensing (Cover story & TOP10 notable articles of the season).

[18] Teo HC; Zeng Y; Sarira T; Fung TK; Zheng Q, et al. Global urban reforestation can be an important natural climate solution. Environmental Research Letter

[17] Ye Y, Huang L, Zheng Q, et al. A feasible framework to downscale NPP-VIIRS nighttime light imagery using multi-source spatial variables and geographically weighted regression. International Journal of Applied Earth Observation and Geoinformation

[16] Dong B^, Zheng Q Wang Ke, et al. Identifying and Classifying Shrinking Cities Using Long-Term Continuous Night-Time Light Time Series. Remote Sensing

2020
[15] Zheng Q, Weng Q, Wang K. Correcting the Pixel Blooming Effect (PiBE) of DMSP-OLS nighttime light imagery. Remote Sensing of Environment

[14] Ye Z, Zheng Q, Zhou R, et al. Mapping and Discriminating Rural Settlements Using Gaofen-2 Images and a Fully Convolutional Network. Sensors

[13] You S^, Zheng Q, Lin Y, et al. Specific Bamboo Forest Extraction and Long-Term Dynamics as Revealed by Landsat Time Series Stacks and Google Earth Engine. Remote Sensing

[12] Ye Y, Deng J, Huang L, Zheng Q, et al. Modeling and Prediction of NPP-VIIRS Nighttime Light Imagery Based on Spatiotemporal Statistical Method. IEEE Transactions on Geoscience and Remote Sensing

[11] Xue X, Lin Y, Zheng Q, et al. Mapping the fine-scale spatial pattern of artificial light pollution at night in urban environments from the perspective of bird habitats. Science of the Total Environment

2019
[10] Zheng Q, Weng Q, Wang K. Developing a new cross-sensor calibration model for DMSP-OLS and Suomi-NPP VIIRS night-light imageries. ISPRS Journal of Photogrammetry and Remote Sensing

[9] Fu, Y, Li, J, Weng, Q, Zheng Q, et al. Characterizing the spatial pattern of annual urban growth by using time series Landsat imagery. Science of the Total Environment

2018
[8] Zheng Q, Weng Q, Huang L, et al. A new source of multi-spectral high spatial resolution night-time light imagery—JL1-3B. Remote Sensing of Environment

[7] Shahtahmassebi AR, Wu C, Blackburn GA, Zheng Q, et al. How do modern transportation projects impact on development of impervious surfaces via new urban area and urban intensification? Evidence from Hangzhou Bay Bridge, China. Land Use Policy

[6] Xue X, Yu Z, Zhu S, Zheng Q, et al. Delineating Urban Boundaries Using Landsat 8 Multispectral Data and VIIRS Nighttime Light Data. Remote Sensing

[5] Huang L, Wu Y, Zheng Q, Zheng Q, et al. Quantifying the Spatiotemporal Dynamics of Industrial Land Uses through Mining Free Access Social Datasets in the Mega Hangzhou Bay Region, China. Sustainability

[4] Zheng Q, Wang K, Huang L, Zheng Q, et al. Monitoring the Different Types of Urban Construction Land Expansion (UCLE) in China’s Port City: A Case Study of Ningbo’s Central City. Sustainability

2017
[3] Zheng Q, Jiang R, Wang K, et al. Monitoring the trajectory of urban nighttime light hotspots using a Gaussian volume model. International Journal of Applied Earth Observation and Geo-information

[2]Zheng Q, Zeng Y, Deng J, et al. “Ghost cities” identification using multi-source remote sensing datasets: A case study in Yangtze River Delta. Applied Geography

[1] Zheng Q, Deng J, Jiang R, et al. Monitoring and assessing “ghost cities” in Northeast China from the view of nighttime light remote sensing data. Habitat International