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:

Learning spatial-temporal dynamics and interactivity for short-term passenger flow prediction in urban rail transit
Jinxin Wu, Xianwang Li, Deqiang He, et al.
Applied Intelligence (2023) Vol. 53, Iss. 16, pp. 19785-19806
Closed Access | Times Cited: 8

Showing 8 citing articles:

Learning spatial–temporal pairwise and high-order relationships for short-term passenger flow prediction in urban rail transit
Jinxin Wu, Deqiang He, Zhenzhen Jin, et al.
Expert Systems with Applications (2024) Vol. 245, pp. 123091-123091
Closed Access | Times Cited: 8

Clean fishing: Construction of prediction model for high-catch Antarctic krill (Euphausia superba) fishing grounds based on deep learning and dynamic sliding window methods
Haibin Han, Bohui Jiang, Hongliang Huang, et al.
Ecological Informatics (2025) Vol. 86, pp. 103047-103047
Closed Access

A novel integrative prediction framework for metro passenger flow
Wenbo Lu, Yong Zhang, Hai L. Vu, et al.
Journal of Intelligent Transportation Systems (2025), pp. 1-26
Open Access

Machine Learning for public transportation demand prediction: A Systematic Literature Review
Franca Rocco di Torrepadula, Enea Vincenzo Napolitano, Sergio Di Martino, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109166-109166
Closed Access | Times Cited: 3

A Time Series Decomposition and Reinforcement Learning Ensemble Method for Short-Term Passenger Flow Prediction in Urban Rail Transit
Jinxin Wu, Deqiang He, Xianwang Li, et al.
Urban Rail Transit (2023) Vol. 9, Iss. 4, pp. 323-351
Open Access | Times Cited: 5

A hybrid neural network for urban rail transit short-term flow prediction
Caihua Zhu, Xiaoli Sun, Yuran Li, et al.
The Journal of Supercomputing (2024) Vol. 80, Iss. 16, pp. 24297-24323
Closed Access | Times Cited: 1

Dynamic Metro Stations Importance Evaluation Based on Network Topology and Real-Time Passenger Flows
Peipei Peng, Zhao Liu, Jianhua Guo, et al.
KSCE Journal of Civil Engineering (2023) Vol. 27, Iss. 10, pp. 4459-4471
Open Access | Times Cited: 3

Multi-Scale Residual Depthwise Separable Convolution for Metro Passenger Flow Prediction
Taoying Li, Lu Liu, Meng Li
Applied Sciences (2023) Vol. 13, Iss. 20, pp. 11272-11272
Open Access | Times Cited: 1

A Passenger Flow Prediction Method Using SAE-GCN-BiLSTM for Urban Rail Transit
Fan Liu
International Journal of Swarm Intelligence Research (2023) Vol. 15, Iss. 1, pp. 1-21
Open Access

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