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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Spatio-Temporal Urban Knowledge Graph Enabled Mobility Prediction
Huandong Wang, Qiaohong Yu, Yu Liu, et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (2021) Vol. 5, Iss. 4, pp. 1-24
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

UrbanKG: An Urban Knowledge Graph System
Yu Liu, Jingtao Ding, Yanjie Fu, et al.
ACM Transactions on Intelligent Systems and Technology (2023) Vol. 14, Iss. 4, pp. 1-25
Closed Access | Times Cited: 25
Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook
Xingchen Zou, Yibo Yan, Xixuan Hao, et al.
Information Fusion (2024) Vol. 113, pp. 102606-102606
Open Access | Times Cited: 14
An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques
Can Rong, Jingtao Ding, Yong Li
ACM Computing Surveys (2024) Vol. 57, Iss. 1, pp. 1-49
Open Access | Times Cited: 9
Building and exploiting spatial–temporal knowledge graph for next POI recommendation
Wei Chen, Huaiyu Wan, Shengnan Guo, et al.
Knowledge-Based Systems (2022) Vol. 258, pp. 109951-109951
Closed Access | Times Cited: 35
Hierarchical Knowledge Graph Learning Enabled Socioeconomic Indicator Prediction in Location-Based Social Network
Zhilun Zhou, Yu Liu, Jingtao Ding, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 122-132
Open Access | Times Cited: 18
Knowledge-infused Contrastive Learning for Urban Imagery-based Socioeconomic Prediction
Yu Liu, Xin Zhang, Jingtao Ding, et al.
Proceedings of the ACM Web Conference 2022 (2023), pp. 4150-4160
Open Access | Times Cited: 17
Spatio-temporal Diffusion Point Processes
Yuan Yuan, Jingtao Ding, Chenyang Shao, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 3173-3184
Open Access | Times Cited: 15
Towards Generative Modeling of Urban Flow through Knowledge-enhanced Denoising Diffusion
Zhilun Zhou, Jingtao Ding, Yu Liu, et al.
(2023), pp. 1-12
Open Access | Times Cited: 13
VesNet: A Vessel Network for Jointly Learning Route Pattern and Future Trajectory
Fenyu Jiang, Huandong Wang, Yong Li
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 2, pp. 1-25
Open Access | Times Cited: 4
MetaCity: Data-driven sustainable development of complex cities
Yunke Zhang, Yu-Ming Lin, Guanjie Zheng, et al.
The Innovation (2025), pp. 100775-100775
Open Access
GN-GCN: Grid neighborhood-based graph convolutional network for spatio-temporal knowledge graph reasoning
Bing Han, Tengteng Qu, Jie Jiang
ISPRS Journal of Photogrammetry and Remote Sensing (2025) Vol. 220, pp. 728-739
Open Access
A spatiotemporal knowledge graph-based method for identifying individual activity locations from mobile phone data
Jianchun Li, Tian Gan, Weifeng Li, et al.
Journal of Transport Geography (2025) Vol. 124, pp. 104157-104157
Closed Access
ProST: Prompt Future Snapshot on Dynamic Graphs for Spatio-Temporal Prediction
Kaiwen Xia, Lin Li, Shuai Wang, et al.
(2025), pp. 1645-1656
Closed Access
An Overview Based on the Overall Architecture of Traffic Forecasting
Lilan Peng, Xuehua Liao, Tianrui Li, et al.
Data Science and Engineering (2024) Vol. 9, Iss. 3, pp. 341-359
Open Access | Times Cited: 3
Mobility Prediction via Rule-Enhanced Knowledge Graph
Qiaohong Yu, Huandong Wang, Yu Liu, et al.
ACM Transactions on Knowledge Discovery from Data (2024) Vol. 18, Iss. 9, pp. 1-21
Open Access | Times Cited: 3
TrajBERT: BERT-Based Trajectory Recovery With Spatial-Temporal Refinement for Implicit Sparse Trajectories
Junjun Si, Jin Yang, Yang Xiang, et al.
IEEE Transactions on Mobile Computing (2023) Vol. 23, Iss. 5, pp. 4849-4860
Closed Access | Times Cited: 8
Learning Semantic Behavior for Human Mobility Trajectory Recovery
Wangchen Long, Zhu Xiao, Hongbo Jiang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 8, pp. 8849-8864
Closed Access | Times Cited: 2
An Efficient Algorithm of Star Subgraph Queries on Urban Traffic Knowledge Graph
Tao Sun, Jianqiu Xu, Caiping Hu
Data Science and Engineering (2022) Vol. 7, Iss. 4, pp. 383-401
Open Access | Times Cited: 9
SSAR-GNN: Self-Supervised Artist Recommendation from spatio-temporal perspectives in art history with Graph Neural Networks
Qinglin Zhang, Menghan Wang, Haiyan Wang, et al.
Future Generation Computer Systems (2023) Vol. 144, pp. 230-241
Closed Access | Times Cited: 5
KnowSite: Leveraging Urban Knowledge Graph for Site Selection
Yu Liu, Jingtao Ding, Yong Li
(2023), pp. 1-12
Open Access | Times Cited: 5
Next location prediction using heterogeneous graph-based fusion network with physical and social awareness
Sijia He, Wenying Du, Yan Zhang, et al.
International Journal of Geographical Information Science (2024) Vol. 38, Iss. 10, pp. 1965-1990
Closed Access | Times Cited: 1
Urban Knowledge Graph Aided Mobile User Profiling
Yu Liu, Zhilun Zhou, Yong Li, et al.
ACM Transactions on Knowledge Discovery from Data (2023) Vol. 18, Iss. 1, pp. 1-30
Open Access | Times Cited: 3
Spatial data intelligence and city metaverse: A review
Xiaofeng Meng, Yong Li, Ke Liu, et al.
Fundamental Research (2023)
Open Access | Times Cited: 3
Multi-Temporal Relationship Inference in Urban Areas
Shuangli Li, Jingbo Zhou, Ji Liu, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 1316-1327
Open Access | Times Cited: 2
IKGN: Intention-aware Knowledge Graph Network for POI Recommendation
Xiaoyu Zhu, Chenyang Bu, Bingbing Dong, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2023), pp. 908-917
Closed Access | Times Cited: 2
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