| The universal visitation law of human mobility M Schläpfer, L Dong, K O’Keeffe, P Santi, M Szell, H Salat, S Anklesaria, ... Nature 593 (7860), 522-527, 2021 | 298 | 2021 |
| Simple spatial scaling rules behind complex cities R Li, L Dong, J Zhang, X Wang, WX Wang, Z Di, HE Stanley Nature Communications 8 (1), 1841, 2017 | 227 | 2017 |
| Predicting neighborhoods’ socioeconomic attributes using restaurant data L Dong, C Ratti, S Zheng Proceedings of the National Academy of Sciences 116 (31), 15447-15452, 2019 | 99 | 2019 |
| Acceptability, energy consumption, and costs of electric vehicle for ride-hailing drivers in Beijing W Tu, P Santi, T Zhao, X He, Q Li, L Dong, TJ Wallington, C Ratti Applied Energy 250, 147-160, 2019 | 83 | 2019 |
| Measuring economic activity in China with mobile big data L Dong, S Chen, Y Cheng, Z Wu, C Li, H Wu EPJ Data Science 6, 1-17, 2017 | 80 | 2017 |
| Population-weighted efficiency in transportation networks L Dong, R Li, J Zhang, Z Di Scientific Reports 6, 26377, 2016 | 61 | 2016 |
| “Ghost cities” versus boom towns: Do China's high-speed rail new towns thrive? L Dong, R Du, M Kahn, C Ratti, S Zheng Regional Science and Urban Economics, 103682, 2021 | 60 | 2021 |
| Quantifying urban areas with multi-source data based on percolation theory W Cao, L Dong, L Wu, Y Liu Remote Sensing of Environment 241, 111730, 2020 | 51 | 2020 |
| Migration patterns in China extracted from mobile positioning data Y Wang, L Dong, Y Liu, Z Huang, Y Liu Habitat International 86, 71-80, 2019 | 50 | 2019 |
| Understanding the mesoscopic scaling patterns within cities L Dong, Z Huang, J Zhang, Y Liu Scientific Reports 10 (1), 21201, 2020 | 41 | 2020 |
| Examining the interaction of taxi and subway ridership for sustainable urbanization M Li, L Dong, Z Shen, W Lang, X Ye Sustainability 9 (2), 242, 2017 | 37 | 2017 |
| Group sparse Bayesian learning for active surveillance on epidemic dynamics H Pei, B Yang, J Liu, L Dong The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), 2018 | 29 | 2018 |
| Investigating time, strength, and duration of measures in controlling the spread of COVID-19 using a networked meta-population model J Zhang, L Dong, Y Zhang, X Chen, G Yao, Z Han Nonlinear Dynamics 101, 1789-1800, 2020 | 25 | 2020 |
| A gridded establishment dataset as a proxy for economic activity in China L Dong, X Yuan, M Li, C Ratti, Y Liu Scientific Data 8 (1), 5, 2021 | 23 | 2021 |
| The definition of city boundary and scaling law L Dong, H Wang, H Zhao Acta Geographica Sinica 72 (2), 213-223, 2017 | 21* | 2017 |
| An extended exploration and preferential return model for human mobility simulation at individual and collective levels J Wang, L Dong, X Cheng, W Yang, Y Liu Physica A: Statistical Mechanics and Its Applications 534, 121921, 2019 | 18 | 2019 |
| Metrogan: Simulating urban morphology with generative adversarial network W Zhang, Y Ma, D Zhu, L Dong, Y Liu Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 17 | 2022 |
| Constructing multi-level urban clusters based on population distributions and interactions W Cao, L Dong, Y Cheng, L Wu, Q Guo, Y Liu Computers, Environment and Urban Systems 99, 101897, 2023 | 13 | 2023 |
| Mobile Internet and regional development in China L Dong, H Wu Environment and Planning A 49 (4), 725-727, 2017 | 8 | 2017 |
| Defining a city—delineating urban areas using cell-phone data L Dong, F Duarte, G Duranton, P Santi, M Barthelemy, M Batty, ... Nature Cities 1 (2), 117-125, 2024 | 3 | 2024 |
Carlo RattiProfessor, Senseable City Lab, Department of Urban Studies and Planning, MITVerified email at mit.edu
