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:

An effective spatiotemporal deep learning framework model for short-term passenger flow prediction
Xueqin Wang, Xinyue Xu, Yuankai Wu, et al.
Soft Computing (2022) Vol. 26, Iss. 12, pp. 5523-5538
Closed Access | Times Cited: 14

Showing 14 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

Incorporating CNN-LSTM and SVM with wavelet transform methods for tourist passenger flow prediction
Qian Xu
Soft Computing (2024) Vol. 28, Iss. 3, pp. 2719-2736
Closed Access | Times Cited: 6

Short-term metro passenger flow prediction based on hybrid spatiotemporal extraction and multi-feature fusion
Tao Wang, Song Jian-jun, Jing Zhang, et al.
Tunnelling and Underground Space Technology (2025) Vol. 159, pp. 106491-106491
Closed Access

Mul-DesLSTM: An integrative multi-time granularity deep learning prediction method for urban rail transit short-term passenger flow
Wenbo Lu, Yong Zhang, Peikun Li, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106741-106741
Closed Access | Times Cited: 11

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

Demand forecasting of online car‐hailing by exhaustively capturing the temporal dependency with TCN and Attention approaches
Xiaofei Ye, Yu Hao, Qiming Ye, et al.
IET Intelligent Transport Systems (2023)
Open Access | Times Cited: 9

Spatio-Temporal Forecasting: A Survey of Data-Driven Models Using Exogenous Data
Safaa Berkani, Bassma Guermah, Mehdi Zakroum, et al.
IEEE Access (2023) Vol. 11, pp. 75191-75214
Open Access | Times Cited: 8

Designing on-board explainable passenger flow prediction
Mario Barbareschi, A. Emmanuele, Nicola Mazzocca, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109648-109648
Closed Access

A generative adversarial network algorithm for inferring age attributes in subway based on AFC and POI data
Xinyue Xu, Anzhong Zhang, Jun Liu, et al.
Research Square (Research Square) (2024)
Closed Access

A Hybrid Strategy-Improved SSA-CNN-LSTM Model for Metro Passenger Flow Forecasting
Jing Liu, Qingling He, Zhenyu Yue, et al.
Mathematics (2024) Vol. 12, Iss. 24, pp. 3929-3929
Open Access

A generative adversarial network for inferring age attributes in subway based on automatic fare collection and point of interest data
Xinyue Xu, Ziyang Ye, Anzhong Zhang, et al.
Journal of Intelligent Transportation Systems (2024), pp. 1-21
Closed Access

MOHP-EC: A Multiobjective Hierarchical Prediction Framework for Urban Rail Transit Passenger Flow
Wenbo Lu, Jinhua Xu, Yong Zhang, et al.
IEEE Intelligent Transportation Systems Magazine (2023) Vol. 15, Iss. 4, pp. 86-105
Closed Access | Times Cited: 1

Dynamic Spatio-Temporal Graph Convolutional Network for Railway Train Delay Prediction Using Dynamic Bayesian Network
Xinyue Xu, Jianmin Li, Xin Ding
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 1

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