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:
Robust and Responsive Learning of Spatiotemporal Urban Traffic Flow Relationships
Dmitry Pavlyuk
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 9, pp. 14524-14541
Closed Access | Times Cited: 8
Dmitry Pavlyuk
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 9, pp. 14524-14541
Closed Access | Times Cited: 8
Showing 8 citing articles:
Traffic Flow Intensity Research Based on Deep Learning
Igor Pugachev, N. G. Sheshera, D. E. Grigorov
World of Transport and Transportation (2025) Vol. 22, Iss. 2, pp. 12-24
Closed Access
Igor Pugachev, N. G. Sheshera, D. E. Grigorov
World of Transport and Transportation (2025) Vol. 22, Iss. 2, pp. 12-24
Closed Access
Building trust for traffic flow forecasting components in intelligent transportation systems via interpretable ensemble learning
Jishun Ou, Jing Li, Chen Wang, et al.
Digital Transportation and Safety (2024) Vol. 3, Iss. 3, pp. 126-143
Closed Access | Times Cited: 1
Jishun Ou, Jing Li, Chen Wang, et al.
Digital Transportation and Safety (2024) Vol. 3, Iss. 3, pp. 126-143
Closed Access | Times Cited: 1
Digitalization of Transport Industry Using Information Technology
V.S. Nadezhdin, I. V. Dem’yanushko, Natalia Surkova, et al.
(2022), pp. 1-5
Closed Access | Times Cited: 4
V.S. Nadezhdin, I. V. Dem’yanushko, Natalia Surkova, et al.
(2022), pp. 1-5
Closed Access | Times Cited: 4
Synthetic data as a contribution and a reward in multi-agent urban traffic forecasting
Dmitry Pavlyuk, Jelena Perevozcikova
Transportation research procedia (2024) Vol. 78, pp. 127-134
Open Access
Dmitry Pavlyuk, Jelena Perevozcikova
Transportation research procedia (2024) Vol. 78, pp. 127-134
Open Access
An Urban Subway Inbound Short-Time Passenger Flow Prediction Model Based on a Deep Learning Combinatorial Framework
Shejun Deng, Xiaoying Wang, Jun Zhang
(2024)
Closed Access
Shejun Deng, Xiaoying Wang, Jun Zhang
(2024)
Closed Access
Internal/Boundary Control-Based Fixed-Time Synchronization for Spatiotemporal Networks
Tingting Shi, Cheng Hu, Juan Yu, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 11, pp. 6693-6706
Closed Access
Tingting Shi, Cheng Hu, Juan Yu, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 11, pp. 6693-6706
Closed Access
The multi-module joint modeling approach: Predicting urban crowd flow by integrating spatial–temporal patterns and dynamic periodic relationship
Zain Ul Abideen, Xiaodong Sun, Chao Sun
Engineering Applications of Artificial Intelligence (2024) Vol. 141, pp. 109721-109721
Closed Access
Zain Ul Abideen, Xiaodong Sun, Chao Sun
Engineering Applications of Artificial Intelligence (2024) Vol. 141, pp. 109721-109721
Closed Access
Forecasting of Traffic Flow Using Feature Selection with ML Model
Piyush Kumar Pareek, K Vidyalakshmi, S Nayana, et al.
(2023), pp. 1-6
Closed Access
Piyush Kumar Pareek, K Vidyalakshmi, S Nayana, et al.
(2023), pp. 1-6
Closed Access
