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:
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting
Arian Prabowo, Wei Shao, Hao Xue, et al.
(2023), pp. 93-104
Open Access | Times Cited: 9
Arian Prabowo, Wei Shao, Hao Xue, et al.
(2023), pp. 93-104
Open Access | Times Cited: 9
Showing 9 citing articles:
Spatio-Temporal Graphs in Transportation: Challenges, Optimization, and Prospects
Aleksandr Rakhmangulov, Nikita Osintsev, Pavel Mishkurov
Systems (2025) Vol. 13, Iss. 4, pp. 263-263
Open Access
Aleksandr Rakhmangulov, Nikita Osintsev, Pavel Mishkurov
Systems (2025) Vol. 13, Iss. 4, pp. 263-263
Open Access
MTESformer: Multi-Scale Temporal and Enhance Spatial Transformer for Traffic Flow Prediction
Xinhua Dong, Wanbo Zhao, Hongmu Han, et al.
IEEE Access (2024) Vol. 12, pp. 47231-47245
Closed Access | Times Cited: 2
Xinhua Dong, Wanbo Zhao, Hongmu Han, et al.
IEEE Access (2024) Vol. 12, pp. 47231-47245
Closed Access | Times Cited: 2
Cross- and Context-Aware Attention Based Spatial-Temporal Graph Convolutional Networks for Human Mobility Prediction
Zhaobin Mo, Haotian Xiang, Xuan Di
ACM Transactions on Spatial Algorithms and Systems (2024)
Open Access | Times Cited: 1
Zhaobin Mo, Haotian Xiang, Xuan Di
ACM Transactions on Spatial Algorithms and Systems (2024)
Open Access | Times Cited: 1
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)
Arian Prabowo, Hao Xue, Wei Shao, et al.
Data Mining and Knowledge Discovery (2023) Vol. 38, Iss. 3, pp. 913-937
Open Access | Times Cited: 3
Arian Prabowo, Hao Xue, Wei Shao, et al.
Data Mining and Knowledge Discovery (2023) Vol. 38, Iss. 3, pp. 913-937
Open Access | Times Cited: 3
Continually Learning Out-of-Distribution Spatiotemporal Data for Robust Energy Forecasting
Arian Prabowo, Kaixuan Chen, Hao Xue, et al.
Lecture notes in computer science (2023), pp. 3-19
Closed Access | Times Cited: 3
Arian Prabowo, Kaixuan Chen, Hao Xue, et al.
Lecture notes in computer science (2023), pp. 3-19
Closed Access | Times Cited: 3
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned
Du Yin, Jinliang Deng, Shuang Ao, et al.
(2024), pp. 42-53
Open Access
Du Yin, Jinliang Deng, Shuang Ao, et al.
(2024), pp. 42-53
Open Access
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning
Arian Prabowo, Kaixuan Chen, Hao Xue, et al.
(2023)
Open Access | Times Cited: 1
Arian Prabowo, Kaixuan Chen, Hao Xue, et al.
(2023)
Open Access | Times Cited: 1
Traffic Forecasting on New Roads Using Spatial Contrastive Pre-Training (SCPT)
Arian Prabowo, Hao Xue, Wei Shao, et al.
arXiv (Cornell University) (2023)
Open Access
Arian Prabowo, Hao Xue, Wei Shao, et al.
arXiv (Cornell University) (2023)
Open Access
Continually learning out-of-distribution spatiotemporal data for robust energy forecasting
Arian Prabowo, Kaixuan Chen, Hao Xue, et al.
arXiv (Cornell University) (2023)
Open Access
Arian Prabowo, Kaixuan Chen, Hao Xue, et al.
arXiv (Cornell University) (2023)
Open Access
