1) Bai, Y, Di, L, Chen, A, Liu, Y, & Wei, Y (2007) Towards a geospatial catalogue federation service. Photogrammetric Engineering & Remote Sensing, 73(6), 699-708 doi: 1014358/pers736699.

2) Chen, A, Di, L, Wei, Y, Bai, Y & Liu, Y (2009) Use of grid computing for modeling virtual geospatial products. International Journal of Geographical Information Science, 23(5), 581-604 doi: 101080/13658810902733666.

3) Bai, Y, Di, L, & Wei, Y (2009) A taxonomy of geospatial services for global service discovery and interoperability. Computers & Geosciences, 35(4), 783-790 doi: 101016/jcageo200712018.

4) Chen, A, Di, L, Bai, Y, Wei, Y, & Liu, Y (2010) Grid computing enhances standaards-compatible geospatial catalogue service. Computers & Geosciences, 36(4), 411-421 doi: 101016/jcageo200909006.

5) Bai, Y, & Di, L (2011) Providing access to satellite imagery through ogc catalog service interfaces in support of the global earth observation system of the global earth observation system of systems. Computers & Geosciences, 37(4), 435-443 doi:101016/jcageo201009010.

6) Bai, Y, Di, L, Nebert, D D, Chen, A, Wei, Y, Cheng, X, …Wang, H (2012) Geoss component and service registry: design, implementation and lessons learned. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 5(6), 1678-1686 doi:101109/jstars20122215914.

7) Yu, G, Zhao, P, Di, L, Chen, A, Deng, M, & Bai, Y (2012) Bpelpower- a bpel execution engine for geospatial web services. Computers & Geosciences, 47(10), 87-101 doi: 101016/jcageo201111029.

8) Bai, Y (2013) Research cyberinfrastructure for global change studies. Geo-information Science, 15(6), 809-813 doi:103724/spj1047201300809 (In Chinese with English abstract).

9) Shao, Y, Di, L, Bai, Y, Wang, H, & Yang, C (2013) Federated catalogue for discovering earth observation data.  Journal of photogrammetry, remote sensing and geoinformation processing, 2013(1), 43-52 doi: 101127/1432-8364/2013/0157.

10) Yan, A, Lv, B, Liu, F, Li, Q, Lin, G, & Bai, Y (2014) FluxDataONE: an integrated solution for the management, visualization, and analysis of flux data for agricultural and ecological studies. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 7(11), 4523-4529 doi: 101109/jstars20142321473.

11) Xie, Y, Wang, Y, Zhang, K, Dong, W, Lv, B, & Bai, Y (2015) Daily estimation of ground-level PM2.5 concentrations over Beijing using 3 km resolution MODIS AOD. Environmental Science & Technology, 49(20), 12280-8 doi:101021/acsest5b01413.

12) Lv, B, Liu, Y, Yu, P, Zhan, B, & Bai, Y (2015) Characterizations of PM2.5 pollution pathways and sources analysis in four large cities in China. Aerosol and Air Quality Research, 15(5), 1836-1843 doi: 104209/aaqr2015040266.

13) Feng, D, Zhao, Y, Yu, L, Li, C, Wang, J, Clinton, N, …Gong, P (2016) Circa 2014 african land-cover maps compatible with from-glc and glc2000 classification schemes based on multi-seasonal landsat data. International Journal of Remote Sensing, 37(19), 4648-4664 doi: 101080/0143116120161218090.

14) Gong, P, Yu, L, Li, C, Wang, J, Liang, L, Li, X, …Zhu, Z (2016) A new research paradigm for global land cover mapping. Annals of GIS(2), 87-102 doi: 101080/1947568320161164247.

15) Lin, Y, Xu, Hao, & Bai, Y (2016) Semantically enhanced catalogue search model for remotely sensed imagery. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, PP(99), 1-9 doi:101109/jstars20162590835.

16) Lv, B, Cobourn, W G, & Bai, Y (2016) Development of nonlinear empirical models to forecast daily PM2.5, and Ozone levels in three large Chinese cities. Atmospheric Environment, 147, 209-223 doi: 101016/jatmosenv201610003.

17) Lv, B, Hu, Y, Chang, H H, Russell, A G, & Bai, Y (2016) Improving the accuracy of daily PM2.5 distributions derived from the fusion of ground-level measurements with aerosol optical depth observations, a case study in north China. Environmental Science & Technology, 50(9), 4752–4759 doi: 101021/acsest5b05940.

18) Lv, B, Zhang, B, & Bai, Y (2016) A systematic analysis of PM2.5 in Beijing and its sources from 2000 to 2012. Atmospheric Environment, 124, 98-108 doi: 101016/jatmosenv201509031.

19) Sun, Z, Fang, H, Di, L, Yue, P, Tan, X, & Bai, Y (2016) Developing a web-based system for supervised classification of remote sensing images. Geoinformatica, 20(4), 629-649 doi: 101007/s10707-016-0252-3.

20) Watts, N, Adger, W N, Ayeb-Karlsson, S, Bai, Y, Byass, P, Campbell-Lendrum, D, …Costello, A (2016) The lancet, countdown: tracking progress on health and climate change. The Lancet, 6736(16) doi: 101016/S0140-6736(16)32124-9.

21) Zhao, X, Cai, J, Feng, D, Bai, Y, & Xu, B (2016) Meteorological influence on the 2009 influenza a (h1n1) pandemic in mainland china. Environmental Earth Sciences, 75, 878 doi: 101007/s12665-016-5275-4.

22) Zhao, Y, Feng, D, Yu, L, Wang, X, Chen, Y, Bai, Y, …Gong, P (2016) Detailed dynamic land cover mapping of Chile: accuracy improvement by integrating multi-temporal data. Remote Sensing of Environment, 183, 170-185 doi: 101016/jrse201605016.

23) Bai, Y, Jacobs, C A, Kwan, M, & Waldmann, C (accepted) Is geoscience ready to address the challenges and capture the opportunities in the next decade? IEEE Geoscience and Remote Sensing Magazine.

24) Chen, X, Lin, Y, Zhang, M, Yu, L, & Bai, Y (accepted) Assessment of the cropland classifications in four global land cover datasets: a case study of Shaanxi province, china. Journal of Integrated Agriculture.

25) Di, L, Yu, E, Kang, L, Shrestha, R, & Bai, Y (accepted) RF-CLASS: A remote-sensing-based flood crop loss assessment Cyber-service system for supporting crop statistics and insurance. Journal of Integrated Agriculture.

26) Shrestha, R, Di, L, Yu, E, Kang, L, Shao, Y, & Bai, Y (accepted) Regression model to estimate flood impact on corn yield using MODIS NDVI and USDA Cropland data layer. Journal of Integrated Agriculture.

27) Lv, B, Hu, Y, Chang, H, Russell, AG, Cai, J, Xu, B, & Bai, Y (accepted) Daily estimation of ground-level PM2.5 concentrations at 4 km resolution over Beijing-Tianjin-Hebei by fusing MODIS AOD and ground observations. Science of the Total Environment.