Understanding place characteristics in geographic contexts through graph convolutional neural networks D Zhu, F Zhang, S Wang, Y Wang, X Cheng, Z Huang, Y Liu Annals of the American Association of Geographers 110 (2), 408-420, 2020 | 118 | 2020 |
Uncovering inconspicuous places using social media check-ins and street view images F Zhang, J Zu, M Hu, D Zhu, Y Kang, S Gao, Y Zhang, Z Huang Computers, Environment and Urban Systems 81, 101478, 2020 | 110 | 2020 |
A novel popular tourist attraction discovering approach based on geo-tagged social media big data X Peng, Z Huang ISPRS International Journal of Geo-Information 6 (7), 216, 2017 | 77 | 2017 |
High-resolution mapping of the urban built environment stocks in Beijing R Mao, Y Bao, Z Huang, Q Liu, G Liu Environmental science & technology 54 (9), 5345-5355, 2020 | 73 | 2020 |
Inferring spatial interaction patterns from sequential snapshots of spatial distributions D Zhu, Z Huang, L Shi, L Wu, Y Liu International Journal of Geographical Information Science 32 (4), 783-805, 2018 | 58 | 2018 |
Inferring demographics from human trajectories and geographical context L Wu, L Yang, Z Huang, Y Wang, Y Chai, X Peng, Y Liu Computers, Environment and Urban Systems 77, 101368, 2019 | 51 | 2019 |
Migration patterns in China extracted from mobile positioning data Y Wang, L Dong, Y Liu, Z Huang, Y Liu Habitat International 86, 71-80, 2019 | 50 | 2019 |
A hybrid ensemble learning method for tourist route recommendations based on geo-tagged social networks L Wan, Y Hong, Z Huang, X Peng, R Li International Journal of Geographical Information Science 32 (11), 2225-2246, 2018 | 49 | 2018 |
Monitoring and assessing “ghost cities” in Northeast China from the view of nighttime light remote sensing data Q Zheng, J Deng, R Jiang, K Wang, X Xue, Y Lin, Z Huang, Z Shen, J Li, ... Habitat International 70, 34-42, 2017 | 49 | 2017 |
An ensemble learning approach for urban land use mapping based on remote sensing imagery and social sensing data Z Huang, H Qi, C Kang, Y Su, Y Liu Remote Sensing 12 (19), 3254, 2020 | 48 | 2020 |
Building a model-based personalised recommendation approach for tourist attractions from geotagged social media data X Sun, Z Huang, X Peng, Y Chen, Y Liu International Journal of Digital Earth 12 (6), 661-678, 2019 | 48 | 2019 |
Practical application of unmanned aerial vehicles for mountain hazards survey J Lin, H Tao, Y Wang, Z Huang 2010 18th International Conference on Geoinformatics, 1-5, 2010 | 48 | 2010 |
A framework for mixed-use decomposition based on temporal activity signatures extracted from big geo-data L Wu, X Cheng, C Kang, D Zhu, Z Huang, Y Liu International Journal of Digital Earth 13 (6), 708-726, 2020 | 46 | 2020 |
Building a spatially-embedded network of tourism hotspots from geotagged social media data X Wu, Z Huang, X Peng, Y Chen, Y Liu IEEE Access 6, 21945-21955, 2018 | 44 | 2018 |
A BiLSTM-CNN model for predicting users’ next locations based on geotagged social media Y Bao, Z Huang, L Li, Y Wang, Y Liu International Journal of Geographical Information Science 35 (4), 639-660, 2021 | 42 | 2021 |
Understanding the mesoscopic scaling patterns within cities L Dong, Z Huang, J Zhang, Y Liu Scientific reports 10 (1), 21201, 2020 | 39 | 2020 |
GeoSpark SQL: An effective framework enabling spatial queries on spark Z Huang, Y Chen, L Wan, X Peng ISPRS International Journal of Geo-Information 6 (9), 285, 2017 | 39 | 2017 |
Mapping human activity volumes through remote sensing imagery X Xing, Z Huang, X Cheng, D Zhu, C Kang, F Zhang, Y Liu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020 | 34 | 2020 |
Identifying spatiotemporal characteristics and driving factors for road traffic CO2 emissions X Zhou, H Wang, Z Huang, Y Bao, G Zhou, Y Liu Science of The Total Environment 834, 155270, 2022 | 31 | 2022 |
Perceiving Beijing’s “city image” across different groups based on geotagged social media data X Peng, Y Bao, Z Huang Ieee Access 8, 93868-93881, 2020 | 30 | 2020 |