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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:

Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow
Yuxin He, Lishuai Li, Xinting Zhu, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 10, pp. 18155-18174
Open Access | Times Cited: 59

Showing 26-50 of 59 citing articles:

DMSTG: Dynamic Multiview Spatio-Temporal Networks for Traffic Forecasting
Zulong Diao, Xin Wang, Dafang Zhang, et al.
IEEE Transactions on Mobile Computing (2023) Vol. 23, Iss. 6, pp. 6865-6880
Closed Access | Times Cited: 5
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
SAD-ARGRU: A Metro Passenger Flow Prediction Model for Graph Residual Gated Recurrent Networks
Jilin Zhang, Yanling Chen, Shuaifeng Zhang, et al.
Mathematics (2024) Vol. 12, Iss. 8, pp. 1175-1175
Open Access | Times Cited: 1
Dual-task Learning for Joint State-of-Charge and State-of-Energy Estimation of Lithium-ion Battery in Electric Vehicle
Zhengyi Bao, Jiahao Nie, Huipin Lin, et al.
IEEE Transactions on Transportation Electrification (2024) Vol. 11, Iss. 1, pp. 558-569
Closed Access | Times Cited: 1
A pre-trained model specialized for ship trajectory prediction
Chongjun Xia, Peng Yang, Dong Qu
2022 IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC ) (2024), pp. 1857-1860
Closed Access | Times Cited: 1
ARFGCN: Adaptive Receptive Field Graph Convolutional Network for Urban Crowd Flow Prediction
Genan Dai, Hu Huang, Xiaojiang Peng, et al.
Mathematics (2024) Vol. 12, Iss. 11, pp. 1739-1739
Open Access | Times Cited: 1
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
Short-Term Passenger Flow Prediction in Urban Rail Transit Based on Points of Interest
Jie Cheng, Guangjie Liu, Shen Gao, et al.
IEEE Access (2024) Vol. 12, pp. 95196-95208
Open Access | Times Cited: 1
A CNN-LSTM Model for Short-Term Passenger Flow Forecast Considering the Built Environment in Urban Rail Transit Stations
Bingxin Cao, Yongxing Li, Yanyan Chen, et al.
Journal of Transportation Engineering Part A Systems (2024) Vol. 150, Iss. 11
Closed Access | Times Cited: 1
Short-Term Bus Passenger Flow Prediction Based on BiLSTM Neural Network
Xuemei Zhou, Qianlin Wang, Yunbo Zhang, et al.
Journal of Transportation Engineering Part A Systems (2024) Vol. 151, Iss. 1
Closed Access | Times Cited: 1
Enhancing origin-destination flow prediction via bi-directional spatio-temporal inference and interconnected feature evolution
Peng Yu, Xu Zhang, Yongshun Gong, et al.
Expert Systems with Applications (2024), pp. 125679-125679
Closed Access | Times Cited: 1
A Neural Network Based on Spatial Decoupling and Patterns Diverging for Urban Rail Transit Ridership Prediction
Yong Luo, Jianying Zheng, Xiang Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 12, pp. 15248-15258
Closed Access | Times Cited: 3
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
Dynamic Relational Graph Convolutional Network for Metro Passenger Flow Forecasting
Bisheng He, Yongjun Zhu, Andrea D’Ariano, et al.
Operations Research Forum (2023) Vol. 4, Iss. 4
Closed Access | Times Cited: 2
Using SUMO towards Proactive Public Mobility: Some Lessons Learned
Franca Rocco di Torrepadula, Debora Russo, Sergio Di Martino, et al.
(2023), pp. 51-58
Open Access | Times Cited: 2
Periodic analysis of scenic spot passenger flow based on combination neural network prediction model
Fang Yin
Journal of Intelligent Systems (2024) Vol. 33, Iss. 1
Open Access
An Integrated Static and Dynamic Graph Fusion Approach for Traffic Flow Prediction
Xingliang Che, Wen Xiong, Xian Zhang, et al.
Research Square (Research Square) (2024)
Open Access
Front-end speech processing system with SVM algorithm in rail passenger flow management
Ningchuan Li
Journal of Computational Methods in Sciences and Engineering (2024) Vol. 24, Iss. 2, pp. 1173-1187
Closed Access
Arrival Information-Guided Spatiotemporal Prediction of Transportation Hub Passenger Distribution
Xinmei Cai, Long Cheng, Keyang Sun, et al.
(2024)
Closed Access
STC-PSSA: A New Model of Traffic Flow Forecasting Based on Spatiotemporal Convolution and Probabilistic Sparse Self-Attention
Hong Zhang, Linbiao Chen, Xijun Zhang, et al.
Transportation Research Record Journal of the Transportation Research Board (2024)
Closed Access
A Novel Passenger Travel-Time and Destination Distribution Model for Day-Ahead Forecasting
Yiren Liu, Lishuai Li, Yang Zhao, et al.
(2024)
Closed Access
Prediction of the pressure fluctuations in by-product gas pipeline networks in iron and steel enterprises using a spatiotemporal method
Shuangchun Jiang, Wenqi Zhong, Guanwen Zhou
Powder Technology (2024) Vol. 445, pp. 120116-120116
Closed Access
Spatiotemporal Dependence Learning with Meteorological Context for Transportation Demand Prediction
Wenxin Dong, Zili Zhang, Huangyao Deng, et al.
Lecture notes in computer science (2024), pp. 360-375
Closed Access
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
A Backpropagation-Based Algorithm to Optimize Trip Assignment Probability for Long-Term High-Speed Railway Demand Forecasting in Korea
Ho‐Chan Kwak
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7880-7880
Open Access

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