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:

Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction
Xinke Jiang, Dingyi Zhuang, Xianghui Zhang, et al.
(2023), pp. 3983-3987
Open Access | Times Cited: 9

Showing 9 citing articles:

Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-Encoder
Xinke Jiang, Zidi Qin, Jiarong Xu, et al.
(2024)
Open Access | Times Cited: 4

Uncertainty-aware probabilistic graph neural networks for road-level traffic crash prediction
Xiaowei Gao, Xinke Jiang, James Haworth, et al.
Accident Analysis & Prevention (2024) Vol. 208, pp. 107801-107801
Open Access | Times Cited: 4

Generating sparse origin–destination flows on shared mobility networks using probabilistic graph neural networks
Yuebing Liang, Zhan Zhao, Chris Webster
Sustainable Cities and Society (2024) Vol. 114, pp. 105777-105777
Closed Access | Times Cited: 3

ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-Temporal Graph Attention and Bidirectional Recurrent United Neural Networks
Zepu Wang, Dingyi Zhuang, Yankai Li, et al.
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC) (2023), pp. 1454-1459
Open Access | Times Cited: 6

Spatio-temporal Graph Normalizing Flow for Probabilistic Traffic Prediction
An Yang, Zhibin Li, Wei Liu, et al.
(2024), pp. 45-55
Closed Access | Times Cited: 1

ProtoMix: Augmenting Health Status Representation Learning via Prototype-based Mixup
Yongxin Xu, Xinke Jiang, Xu Chu, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 3633-3644
Closed Access

Multi-Channel Spatio-Temporal Data Fusion of Network-Wide "Big" and "Small" Flow Data
Tao Cheng, Hao Chen, Zhang Xianghui, et al.
(2024)
Closed Access

Machine Learning-Driven Nanoparticle Toxicity
Zied Hosni, Sofiene Achour, Fatma Saâdi, et al.
(2024)
Closed Access

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