| A socio-technical perspective on urban analytics: The case of city-scale digital twins T Nochta, L Wan, JM Schooling, AK Parlikad Journal of Urban Technology 28 (1-2), 263-287, 2021 | 144 | 2021 |
| Developing a city-level digital twin–propositions and a case study L Wan, T Nochta, JM Schooling International conference on smart infrastructure and construction 2019 …, 2019 | 67 | 2019 |
| Qualitative analysis of residents′ perceptions of tourism impacts on historic districts: a case study of nanluoguxiang in Beijing, China L Dai, S Wang, J Xu, L Wan, B Wu Journal of Asian Architecture and Building Engineering 16 (1), 107-114, 2017 | 41 | 2017 |
| Big data and urban system model-substitutes or complements? A case study of modelling commuting patterns in Beijing L Wan, S Gao, C Wu, Y Jin, M Mao, L Yang Computers, Environment and Urban Systems 68, 64-77, 2018 | 38 | 2018 |
| Automatic number plate recognition (ANPR) in smart cities: A systematic review on technological advancements and application cases J Tang, L Wan, J Schooling, P Zhao, J Chen, S Wei Cities 129, 103833, 2022 | 36 | 2022 |
| Environmental impacts of transformative land use and transport developments in the Greater Beijing Region: Insights from a new dynamic spatial equilibrium model Y Jin, S Denman, D Deng, X Rong, M Ma, L Wan, Q Mao, L Zhao, Y Long Transportation Research Part D: Transport and Environment 52, 548-561, 2017 | 20 | 2017 |
| Leadership for responsible digital innovation in the built environment: A socio-technical review for re-establishing competencies V Bastidas, K Oti-Sarpong, T Nochta, L Wan, J Tang, J Schooling Journal of Urban Management 12 (1), 57-73, 2023 | 19 | 2023 |
| Understanding non-commuting travel demand of car commuters–Insights from ANPR trip chain data in Cambridge L Wan, J Tang, L Wang, J Schooling Transport Policy 106, 76-87, 2021 | 17 | 2021 |
| Digitalisation for smarter cities: moving from a static to a dynamic view T Nochta, L Wan, JM Schooling, C Lemanski, AK Parlikad, Y Jin Proceedings of the Institution of Civil Engineers-Smart Infrastructure and …, 2019 | 16 | 2019 |
| How to improve rural tourism development in Chinese suburban villages? Empirical findings from a quantitative analysis of eight rural tourism destinations in Beijing L Dai, L Wan, B Xu, B Wu Area 49 (2), 156-165, 2017 | 16 | 2017 |
| Assessment of model validation outcomes of a new recursive spatial equilibrium model for the Greater Beijing L Wan, Y Jin Environment and Planning B: Urban Analytics and City Science 46 (5), 805-825, 2019 | 13 | 2019 |
| The post-Covid city M Batty, J Clifton, P Tyler, L Wan Cambridge Journal of Regions, Economy and Society 15 (3), 447-457, 2022 | 11 | 2022 |
| 国外应用城市模型发展回顾与新型空间政策模型综述 万励， 金鹰 城市规划学刊 1, 81-91, 2014 | 11 | 2014 |
| Exploring resilient observability in traffic-monitoring sensor networks: A study of spatial–temporal vehicle patterns J Tang, L Wan, T Nochta, J Schooling, T Yang ISPRS International Journal of Geo-Information 9 (4), 247, 2020 | 10 | 2020 |
| The conundrum in smart city governance: Interoperability and compatibility in an ever-growing ecosystem of digital twins HY Quek, F Sielker, J Akroyd, AN Bhave, A von Richthofen, P Herthogs, ... Data & Policy 5, e6, 2023 | 9 | 2023 |
| Mobility restrictions and their implications on the rental housing market during the COVID-19 pandemic in China's large cities T Li, X Jing, O Wei, L Yinlong, L Jinxuan, L Yongfu, W Li, J Ying, X Weipan, ... Cities 126, 103712, 2022 | 9 | 2022 |
| Evidence-informed decisionmaking in multi-stakeholder settings: The case of city digital twins for planning and management T Nochta, NE Badstuber, L Wan | 8 | 2019 |
| Estimating commuting matrix and error mitigation: A complementary use of aggregate travel survey, location-based big data and discrete choice models L Wan, T Yang, Y Jin, D Wang, C Shi, Z Yin, M Cao, H Pan Travel Behaviour and Society, 2021 | 7 | 2021 |
| City-level digital twin experiment for exploring the impacts of digital transformation on journeys to work in the Cambridge sub-region L Wan, T Yang, A Parlikad CDBB, 2019 | 6 | 2019 |
| " Reading" cities with computer vision: a new multi-spatial scale urban fabric dataset and a novel convolutional neural network solution for urban fabric classification tasks Z Fang, J Qi, T Yang, L Wan, Y Jin Proceedings of the 28th International Conference on Advances in Geographic …, 2020 | 5 | 2020 |
