| Virtual knowledge graphs: An overview of systems and use cases G Xiao, L Ding, B Cogrel, D Calvanese Data Intelligence 1 (3), 201-223, 2019 | 163 | 2019 |
| The virtual knowledge graph system ontop G Xiao, D Lanti, R Kontchakov, S Komla-Ebri, E Güzel-Kalaycı, L Ding, ... International Semantic Web Conference, 259-277, 2020 | 93 | 2020 |
| Impact of the COVID-19 pandemic on urban human mobility-A multiscale geospatial network analysis using New York bike-sharing data R Xin, T Ai, L Ding, R Zhu, L Meng Cities 126, 103677, 2022 | 50 | 2022 |
| Spatial knowledge acquisition with virtual semantic landmarks in mixed reality-based indoor navigation B Liu, L Ding, L Meng Cartography and Geographic Information Science 48 (4), 305-319, 2021 | 38 | 2021 |
| Understanding taxi driving behaviors from movement data L Ding, H Fan, L Meng AGILE 2015: Geographic Information Science as an Enabler of Smarter Cities …, 2015 | 30 | 2015 |
| Geo-tagged social media data-based analytical approach for perceiving impacts of social events R Zhu, D Lin, M Jendryke, C Zuo, L Ding, L Meng ISPRS International Journal of Geo-Information 8 (1), 15, 2018 | 29 | 2018 |
| A framework uniting ontology-based geodata integration and geovisual analytics L Ding, G Xiao, D Calvanese, L Meng ISPRS International Journal of Geo-Information 9 (8), 474, 2020 | 23 | 2020 |
| Detecting vehicle traffic patterns in urban environments using taxi trajectory intersection points A Keler, JM Krisp, L Ding Geo-spatial information science 20 (4), 333-344, 2017 | 22 | 2017 |
| Visual analytics for understanding traffic flows of transport hubs from movement data L Ding, J Yang, L Meng Proceedings of the International Cartographic Conference, Rio de Janeiro …, 2015 | 18 | 2015 |
| Consistency assessment for open geodata integration: An ontology-based approach L Ding, G Xiao, D Calvanese, L Meng Geoinformatica 25 (4), 733-758, 2021 | 15 | 2021 |
| Identifying origin/destination hotspots in floating car data for visual analysis of traveling behavior M Jahnke, L Ding, K Karja, S Wang Progress in Location-Based Services 2016, 253-269, 2017 | 15 | 2017 |
| A feasibility study of map-based dashboard for spatiotemporal knowledge acquisition and analysis C Zuo, L Ding, L Meng ISPRS International Journal of Geo-Information 9 (11), 636, 2020 | 14 | 2020 |
| Extracting commuter-specific destination hotspots from trip destination data–comparing the boro taxi service with Citi Bike in NYC A Keler, JM Krisp, L Ding Geo-spatial Information Science 23 (2), 141-152, 2020 | 14 | 2020 |
| Detecting traffic congestion propagation in urban environments–a case study with Floating Taxi Data (FTD) in Shanghai A Keler, JM Krisp, L Ding Journal of location Based services 11 (2), 133-151, 2017 | 13 | 2017 |
| Visualization of traffic congestion based on Floating Taxi Data A Keler, L Ding, JM Krisp KN-Journal of Cartography and Geographic Information 66 (1), 7-13, 2016 | 11 | 2016 |
| Towards the next generation of the LinkedGeoData project using virtual knowledge graphs L Ding, G Xiao, A Pano, C Stadler, D Calvanese Journal of Web Semantics 71, 100662, 2021 | 10 | 2021 |
| Designing mixed reality-based indoor navigation for user studies B Liu, L Ding, S Wang, L Meng KN-Journal of Cartography and Geographic Information 72 (2), 129-138, 2022 | 9 | 2022 |
| Understanding spatiotemporal mobility patterns related to transport hubs from floating car data L Ding, M Jahnke, S Wang, K Karja Proc. Int. Conf. Location-Based Services, 175-185, 2016 | 9 | 2016 |
| Visualization of traffic bottlenecks: Combining traffic congestion with complicated crossings A Keler, JM Krisp, L Ding Advances in Cartography and GIScience: Selections from the International …, 2017 | 8 | 2017 |
| Visual Analysis of Large Floating Car Data–A Bridge-Maker between Thematic Mapping and Scientific Visualization L Ding Technische Universität München, 2016 | 8 | 2016 |
Guohui XiaoAssociate Professor of Computer Science, University of Bergen, Norway在 uib.no 的电子邮件经过验证
