OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Few-Sample Traffic Prediction With Graph Networks Using Locale as Relational Inductive Biases
Mingxi Li, Yihong Tang, Wei Ma
IEEE Transactions on Intelligent Transportation Systems (2022), pp. 1-15
Open Access | Times Cited: 5

Showing 5 citing articles:

Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective
Bin‐Wu Wang, Pengkun Wang, Yudong Zhang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 8, pp. 9089-9097
Open Access | Times Cited: 5

Enhancing few-sample spatio-temporal prediction via relational fusion-based hypergraph neural network
Xiaocao Ouyang, Yanhua Li, Dongyu Guo, et al.
Information Fusion (2025), pp. 103149-103149
Closed Access

Predicting human mobility flows in response to extreme urban floods: A hybrid deep learning model considering spatial heterogeneity
Junqing Tang, Jing Wang, Jiaying Li, et al.
Computers Environment and Urban Systems (2024) Vol. 113, pp. 102160-102160
Open Access | Times Cited: 3

Frigate: Frugal Spatio-temporal Forecasting on Road Networks
Mridul Gupta, Hariprasad Kodamana, Sayan Ranu
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 649-660
Open Access | Times Cited: 5

Better use of experience from other reservoirs for accurate production forecasting by learn-to-learn method
Hao‐Chen Wang, Kai Zhang, Nancy Chen, et al.
Petroleum Science (2023) Vol. 21, Iss. 1, pp. 716-728
Open Access | Times Cited: 1

Page 1

Scroll to top