| Road damage detection and classification using deep neural networks with smartphone images H Maeda, Y Sekimoto, T Seto, T Kashiyama, H Omata Computer‐Aided Civil and Infrastructure Engineering 33 (12), 1127-1141, 2018 | 739 | 2018 |
| Road damage detection using deep neural networks with images captured through a smartphone H Maeda, Y Sekimoto, T Seto, T Kashiyama, H Omata arXiv preprint arXiv:1801.09454, 2018 | 292 | 2018 |
| Generative adversarial network for road damage detection H Maeda, T Kashiyama, Y Sekimoto, T Seto, H Omata Computer‐Aided Civil and Infrastructure Engineering 36 (1), 47-60, 2021 | 276 | 2021 |
| Non-compulsory measures sufficiently reduced human mobility in Tokyo during the COVID-19 epidemic T Yabe, K Tsubouchi, N Fujiwara, T Wada, Y Sekimoto, SV Ukkusuri Scientific reports 10 (1), 18053, 2020 | 266 | 2020 |
| Prediction of human emergency behavior and their mobility following large-scale disaster X Song, Q Zhang, Y Sekimoto, R Shibasaki Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 232 | 2014 |
| Deep learning-based road damage detection and classification for multiple countries D Arya, H Maeda, SK Ghosh, D Toshniwal, A Mraz, T Kashiyama, ... Automation in Construction 132, 103935, 2021 | 191 | 2021 |
| Global road damage detection: State-of-the-art solutions D Arya, H Maeda, SK Ghosh, D Toshniwal, H Omata, T Kashiyama, ... 2020 IEEE International Conference on Big Data (Big Data), 5533-5539, 2020 | 168 | 2020 |
| RDD2020: An annotated image dataset for automatic road damage detection using deep learning D Arya, H Maeda, SK Ghosh, D Toshniwal, Y Sekimoto Data in brief 36, 107133, 2021 | 151 | 2021 |
| Pflow: Reconstructing people flow recycling large-scale social survey data Y Sekimoto, R Shibasaki, H Kanasugi, T Usui, Y Shimazaki IEEE Pervasive Computing 10 (4), 27-35, 2011 | 135 | 2011 |
| Modeling and probabilistic reasoning of population evacuation during large-scale disaster X Song, Q Zhang, Y Sekimoto, T Horanont, S Ueyama, R Shibasaki Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013 | 134 | 2013 |
| Weather effects on the patterns of people's everyday activities: a study using GPS traces of mobile phone users T Horanont, S Phithakkitnukoon, TW Leong, Y Sekimoto, R Shibasaki PloS one 8 (12), e81153, 2013 | 133 | 2013 |
| RDD2022: A multi‐national image dataset for automatic road damage detection D Arya, H Maeda, SK Ghosh, D Toshniwal, Y Sekimoto Geoscience Data Journal 11 (4), 846-862, 2024 | 129 | 2024 |
| Transfer learning-based road damage detection for multiple countries D Arya, H Maeda, SK Ghosh, D Toshniwal, A Mraz, T Kashiyama, ... arXiv preprint arXiv:2008.13101, 2020 | 118 | 2020 |
| Convcast: An embedded convolutional LSTM based architecture for precipitation nowcasting using satellite data A Kumar, T Islam, Y Sekimoto, C Mattmann, B Wilson Plos one 15 (3), e0230114, 2020 | 100 | 2020 |
| Understanding tourist behavior using large-scale mobile sensing approach: A case study of mobile phone users in Japan S Phithakkitnukoon, T Horanont, A Witayangkurn, R Siri, Y Sekimoto, ... Pervasive and Mobile Computing 18, 18-39, 2015 | 93 | 2015 |
| Understanding post-disaster population recovery patterns T Yabe, K Tsubouchi, N Fujiwara, Y Sekimoto, SV Ukkusuri Journal of the Royal Society Interface 17 (163), 20190532, 2020 | 92 | 2020 |
| Large-scale individual building extraction from open-source satellite imagery via super-resolution-based instance segmentation approach S Chen, Y Ogawa, C Zhao, Y Sekimoto ISPRS Journal of Photogrammetry and Remote Sensing 195, 129-152, 2023 | 87 | 2023 |
| Prediction and simulation of human mobility following natural disasters X Song, Q Zhang, Y Sekimoto, R Shibasaki, NJ Yuan, X Xie ACM Transactions on Intelligent Systems and Technology (TIST) 8 (2), 1-23, 2016 | 85 | 2016 |
| Cross-comparative analysis of evacuation behavior after earthquakes using mobile phone data T Yabe, Y Sekimoto, K Tsubouchi, S Ikemoto PLoS one 14 (2), e0211375, 2019 | 68 | 2019 |
| Lightweight road manager: smartphone-based automatic determination of road damage status by deep neural network H Maeda, Y Sekimoto, T Seto Proceedings of the 5th ACM SIGSPATIAL international workshop on mobile …, 2016 | 59 | 2016 |