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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 Data Mining
Gowtham Atluri, Anuj Karpatne, Vipin Kumar
ACM Computing Surveys (2018) Vol. 51, Iss. 4, pp. 1-41
Open Access | Times Cited: 383

Showing 1-25 of 383 citing articles:

Deep Learning for Spatio-Temporal Data Mining: A Survey
Senzhang Wang, Jiannong Cao, Philip S. Yu
IEEE Transactions on Knowledge and Data Engineering (2020) Vol. 34, Iss. 8, pp. 3681-3700
Open Access | Times Cited: 553
Machine Learning for the Geosciences: Challenges and Opportunities
Anuj Karpatne, Imme Ebert‐Uphoff, Sai Ravela, et al.
IEEE Transactions on Knowledge and Data Engineering (2019) Vol. 31, Iss. 8, pp. 1544-1554
Open Access | Times Cited: 508
A Survey on the Metaverse: The State-of-the-Art, Technologies, Applications, and Challenges
Hang Wang, Huansheng Ning, Yujia Lin, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 16, pp. 14671-14688
Open Access | Times Cited: 454
Deep Spatial–Temporal 3D Convolutional Neural Networks for Traffic Data Forecasting
Shengnan Guo, Youfang Lin, Shijie Li, et al.
IEEE Transactions on Intelligent Transportation Systems (2019) Vol. 20, Iss. 10, pp. 3913-3926
Closed Access | Times Cited: 355
A Survey of Traffic Prediction: from Spatio-Temporal Data to Intelligent Transportation
Haitao Yuan, Guoliang Li
Data Science and Engineering (2021) Vol. 6, Iss. 1, pp. 63-85
Open Access | Times Cited: 235
Urban flow prediction from spatiotemporal data using machine learning: A survey
Peng Xie, Tianrui Li, Jia Liu, et al.
Information Fusion (2020) Vol. 59, pp. 1-12
Closed Access | Times Cited: 234
Urban big data fusion based on deep learning: An overview
Jia Liu, Tianrui Li, Peng Xie, et al.
Information Fusion (2019) Vol. 53, pp. 123-133
Closed Access | Times Cited: 220
FedLoc: Federated Learning Framework for Data-Driven Cooperative Localization and Location Data Processing
Feng Yin, Zhidi Lin, Qinglei Kong, et al.
IEEE Open Journal of Signal Processing (2020) Vol. 1, pp. 187-215
Open Access | Times Cited: 187
Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning
Hao Peng, Bowen Du, Mingsheng Liu, et al.
Information Sciences (2021) Vol. 578, pp. 401-416
Closed Access | Times Cited: 170
Edge Content Caching with Deep Spatiotemporal Residual Network for IoV in Smart City
Xiaolong Xu, Zijie Fang, Jie Zhang, et al.
ACM Transactions on Sensor Networks (2021) Vol. 17, Iss. 3, pp. 1-33
Closed Access | Times Cited: 112
Generative Adversarial Networks for Spatio-temporal Data: A Survey
Nan Gao, Hao Xue, Wei Shao, et al.
ACM Transactions on Intelligent Systems and Technology (2022) Vol. 13, Iss. 2, pp. 1-25
Open Access | Times Cited: 89
A Comprehensive Survey of Machine Learning Methodologies with Emphasis in Water Resources Management
Maria Drogkoula, Konstantinos Kokkinos, Nicholas Samaras
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12147-12147
Open Access | Times Cited: 51
Integration of data science with the intelligent IoT (IIoT): current challenges and future perspectives
Inam Ullah, Deepak Adhikari, Xin Su, et al.
Digital Communications and Networks (2024)
Open Access | Times Cited: 24
Urban ride-hailing demand prediction with multiple spatio-temporal information fusion network
Guangyin Jin, Yan Cui, Liang Zeng, et al.
Transportation Research Part C Emerging Technologies (2020) Vol. 117, pp. 102665-102665
Closed Access | Times Cited: 112
Spatiotemporal Data Clustering: A Survey of Methods
Zhi‐Cheng Shi, Lilian S.C. Pun‐Cheng
ISPRS International Journal of Geo-Information (2019) Vol. 8, Iss. 3, pp. 112-112
Open Access | Times Cited: 108
Adapted K-Nearest Neighbors for Detecting Anomalies on Spatio–Temporal Traffic Flow
Youcef Djenouri, Asma Belhadi, Jerry Chun‐Wei Lin, et al.
IEEE Access (2019) Vol. 7, pp. 10015-10027
Open Access | Times Cited: 103
Deep learning-based urban big data fusion in smart cities: Towards traffic monitoring and flow-preserving fusion
Sulaiman Khan, Shah Nazir, Iván García‐Magariño, et al.
Computers & Electrical Engineering (2020) Vol. 89, pp. 106906-106906
Closed Access | Times Cited: 97
Spatiotemporal data mining: a survey on challenges and open problems
Ali Hamdi, Khaled Shaban, Abdelkarim Erradi, et al.
Artificial Intelligence Review (2021) Vol. 55, Iss. 2, pp. 1441-1488
Open Access | Times Cited: 90
A spatio-temporal decomposition based deep neural network for time series forecasting
Reza Asadi, Amelia Regan
Applied Soft Computing (2019) Vol. 87, pp. 105963-105963
Closed Access | Times Cited: 87
A Survey on Spatial Prediction Methods
Zhe Jiang
IEEE Transactions on Knowledge and Data Engineering (2018) Vol. 31, Iss. 9, pp. 1645-1664
Closed Access | Times Cited: 86
Online Spatio-Temporal Crowd Flow Distribution Prediction for Complex Metro System
Yongshun Gong, Zhibin Li, Jian Zhang, et al.
IEEE Transactions on Knowledge and Data Engineering (2020) Vol. 34, Iss. 2, pp. 865-880
Closed Access | Times Cited: 85
Urban Anomaly Analytics: Description, Detection, and Prediction
Mingyang Zhang, Tong Li, Yue Yu, et al.
IEEE Transactions on Big Data (2020) Vol. 8, Iss. 3, pp. 809-826
Open Access | Times Cited: 80
A Graph-based Approach for Trajectory Similarity Computation in Spatial Networks
Peng Han, Jin Wang, Di Yao, et al.
(2021), pp. 556-564
Open Access | Times Cited: 79
On the nature and types of anomalies: a review of deviations in data
Ralph Foorthuis
International Journal of Data Science and Analytics (2021) Vol. 12, Iss. 4, pp. 297-331
Open Access | Times Cited: 78
Data Quality for Machine Learning Tasks
Nitin Gupta, Shashank Mujumdar, Hima Patel, et al.
(2021), pp. 4040-4041
Closed Access | Times Cited: 60
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