| A review of data-driven approaches for prediction and classification of building energy consumption Y Wei, X Zhang, Y Shi, L Xia, S Pan, J Wu, M Han, X Zhao Renewable and Sustainable Energy Reviews 82, 1027-1047, 2018 | 545 | 2018 |
| Urban building energy modeling: State of the art and future prospects F Johari, G Peronato, P Sadeghian, X Zhao, J Widén Renewable and Sustainable Energy Reviews 128, 109902, 2020 | 109 | 2020 |
| Review and evaluation of methods in transport mode detection based on GPS tracking data P Sadeghian, J Håkansson, X Zhao Journal of Traffic and Transportation Engineering (English Edition) 8 (4 …, 2021 | 26 | 2021 |
| Key barriers in MaaS development and implementation: Lessons learned from testing Corporate MaaS (CMaaS) X Zhao, B Vaddadi, M Sjöman, M Hesselgren, A Pernestål Transportation Research Interdisciplinary Perspectives 8, 100227, 2020 | 23 | 2020 |
| On processing GPS tracking data of spatio-temporal car movements: A case study X Zhao Journal of Location Based Services 9 (4), 235-253, 2015 | 13 | 2015 |
| Automated vehicle traffic control tower: A solution to support the next level automation X Zhao, R Darwish, A Pernestål International Journal of Transport and Vehicle Engineering 14 (7), 283-293, 2020 | 10 | 2020 |
| Measuring system-level impacts of corporate mobility as a service (CMaaS) based on empirical evidence B Vaddadi, X Zhao, Y Susilo, A Pernestål Sustainability 12 (17), 7051, 2020 | 8 | 2020 |
| Road network and GPS tracking with data processing and quality assessment X Zhao Dalarna University, 2015 | 8 | 2015 |
| Potential values of maas impacts in future scenarios X Zhao, C Andruetto, B Vaddadi, A Pernestål Journal of urban mobility 1, 100005, 2021 | 7 | 2021 |
| Reliability of GPS based traffic data: an experimental evaluation X Zhao, K Carling, J Håkansson Högskolan Dalarna, 2014 | 6 | 2014 |
| An evaluation of the reliability of GPS-based transportation data X Zhao, K Carling, J Håkansson IAC (International Academic Conference on Transport, Logistics, Tourism and …, 2017 | 5 | 2017 |
| Network density and the p-median solution X Zhao, K Carling, Z Dan, J Håkansson Högskolan Dalarna, 2013 | 5 | 2013 |
| Residential planning, driver mobility and CO2 emission: a microscopic look at Borlänge in Sweden X Zhao, K Carling, J Håkansson European Planning Studies 25 (9), 1597-1614, 2017 | 4 | 2017 |
| Does road network density matter in optimally locating facilities? X Zhao, P Rebreyend, J Håkansson | 4 | 2015 |
| A stepwise methodology for transport mode detection in GPS tracking data P Sadeghian, X Zhao, A Golshan, J Håkansson Travel Behaviour and Society 26, 159-167, 2022 | 3 | 2022 |
| Residential planning, driver mobility and CO2 emission X Zhao, K Carling, J Håkansson Högskolan Dalarna, 2016 | 3 | 2016 |
| Automated vehicle traffic control tower-the bridge to next level automation X Zhao, R Darwish, A Pernestål Integrated Transport Research Lab, KTH Royal Institute of Technology, Stockholm, 2019 | 2 | 2019 |
| The dynamic and long-term changes of automated bus service adoption X Zhao, YO Susilo, A Pernestål Transportation Research Part A: Policy and Practice 155, 450-463, 2022 | 1 | 2022 |
| How does the complexity of a road network affect optimal facility locations? X Zhao, P Rebreyend, J Håkansson Högskolan Dalarna, 2015 | 1 | 2015 |
| Frameworks for assessing societal impacts of automated driving technology E Almlöf, X Zhao, A Pernestål, E Jenelius, M Nybacka Transportation Planning and Technology 45 (7), 545-572, 2022 | | 2022 |
