| Using mobile phone big data to identify inequity of aging groups in transit-oriented development station usage: A case of Tokyo Z Chen, P Li, YX Jin, S Bharule, N Jia, W Li, X Song, R Shibasaki, ... Transport policy 132, 65-75, 2023 | 12 | 2023 |
| A survey on data-driven covid-19 and future pandemic management Y Tao, C Yang, T Wang, E Coltey, Y Jin, Y Liu, R Jiang, Z Fan, X Song, ... ACM computing surveys 55 (7), 1-36, 2022 | 12 | 2022 |
| Using mobile phone big data to identify inequity of artificial light at night exposure: A case study in Tokyo Z Chen, P Li, Y Jin, Y Jin, J Chen, W Li, X Song, R Shibasaki, M Chen, ... Cities 128, 103803, 2022 | 10 | 2022 |
| Modular metacognitive digital twin technologies for greener cities & cleaner mobility Y Jin, H Zhang, S Bharule Advances in Applied Energy 5 (1), 100081, 2021 | 4 | 2021 |
| Understanding railway usage behavior with ten million GPS records Y Jin, P Li, Z Chen, S Bharule, N Jia, J Chen, X Song, R Shibasaki, ... Cities 133, 104117, 2023 | 3 | 2023 |
| Clustered Factor Analysis for Multivariate Spatial Data Y Jin, T Wakayama, R Jiang, S Sugasawa arXiv preprint arXiv:2409.07018, 2024 | | 2024 |
| Shaping urban form for solar energy self-sufficiency city P Zhao, Y Jin, H Zhang, Z Liu, Q Yu, Z Liu, Z Guo, D Yan, R Shibasaki, ... | | 2024 |
| Railway usage behavior analysis based on mobile phone big data Y Jin Handbook of Mobility Data Mining, 113-136, 2023 | | 2023 |
