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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:

Forecasting network-wide multi-step metro ridership with an attention-weighted multi-view graph to sequence learning approach
Jie Bao, Jiawei Kang, Zhao Yang, et al.
Expert Systems with Applications (2022) Vol. 210, pp. 118475-118475
Closed Access | Times Cited: 15

Showing 15 citing articles:

Graph Neural Network for Traffic Forecasting: The Research Progress
Weiwei Jiang, Jiayun Luo, Miao He, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 3, pp. 100-100
Open Access | Times Cited: 68
An origin–destination passenger flow prediction system based on convolutional neural network and passenger source-based attention mechanism
Sirui Lv, Kaipeng Wang, Hu Yang, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121989-121989
Closed Access | Times Cited: 19
Combining travel behavior in metro passenger flow prediction: A smart explainable Stacking-Catboost algorithm
Jiarui Yu, Ximing Chang, Songhua Hu, et al.
Information Processing & Management (2024) Vol. 61, Iss. 4, pp. 103733-103733
Closed Access | Times Cited: 6
Identifying, Analyzing, and forecasting commuting patterns in urban public Transportation: A review
Jingwen Xiong, Lunhui Xu, Zhuoyan Wei, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123646-123646
Closed Access | Times Cited: 4
A dynamic control method for airport ground movement optimization considering adaptive traffic situation and data-driven conflict priority
Jie Bao, Jiawei Kang, Junfeng Zhang, et al.
Journal of Air Transport Management (2025) Vol. 124, pp. 102753-102753
Closed Access
Spatio–temporal graph hierarchical learning framework for metro passenger flow prediction across stations and lines
Hongtao Li, Wen-jie Fu, Haina Zhang, et al.
Knowledge-Based Systems (2025), pp. 113132-113132
Closed Access
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
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
A Low-Rank Bayesian Temporal Matrix Factorization for the Transfer Time Prediction Between Metro and Bus Systems
Pan Wu, Mingyang Pei, Tao Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 7, pp. 7206-7222
Closed Access | Times Cited: 3
Graph neural networks for multi-view learning: a taxonomic review
Shunxin Xiao, Jiacheng Li, Jielong Lu, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 12
Open Access | Times Cited: 3
Exploring Delay Propagation Causality in Various Airport Networks with Attention-Weighted Recurrent Graph Convolution Method
Jiawei Kang, Shangwen Yang, Xiaoxuan Shan, et al.
Aerospace (2023) Vol. 10, Iss. 5, pp. 453-453
Open Access | Times Cited: 4
An EEMD-EWT-LSTM-based short-term prediction approach for inbound metro ridership
Lingling Lv, Delai Hu, Xinyang Liu
Journal of Industrial and Management Optimization (2024) Vol. 20, Iss. 9, pp. 2954-2970
Open Access | Times Cited: 1
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: 2
D-Bi-LSTM: A double Bi-LSTM-based method for metro ridership prediction
Yong Luo, Yanping Tan, Lan Luan, et al.
(2024), pp. 1772-1776
Closed Access
Dynamic Spatio-Temporal Graph Fusion Network modeling for urban metro ridership prediction
Wenzheng Liu, Hongtao Li, Haina Zhang, et al.
Information Fusion (2024), pp. 102845-102845
Closed Access
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