| 1 |
He B., Guo R., Li M., Jing Y., Zhao Z., Zhu W., Zhang C., Zhang C.Y., and Ma D.* (2023), The fractal or scaling perspective on progressively generated intra-urban clusters from street junctions, International Journal of Digital Earth, 16(1), 1944-1961. |
| 2 |
Shi H., Huang H., Ma D.*, Chen L., and Zhao M. (2023), Capturing urban recreational hotspots from GPS data: A new framework in the lens of spatial heterogeneity, Computers, Environment and Urban Systems, 103, 101972. |
| 3 |
Ma D., Toshihiro O., Oki T., and Jiang B.* (2020), Exploring the heterogeneity of human urban movements using geo-tagged tweets, International Journal of Geographical Information Science, 34(12), 2475-2496. |
| 4 |
Ma D., Omer I., Sandberg M., and Jiang B.* (2019), Why topology matters in predicting human activities? Environment and Planning B: Urban Analytics and City Science, 46(7), 1297-1313. |
| 5 |
Ma D., Sandberg M., Yin J., and Jiang B.* (2017), A socio-geographic perspective on human activities in social media, Geographical Analysis, 49(3), 328-342. |
