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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:

IGCRRN: Improved Graph Convolution Res-Recurrent Network for spatio-temporal dependence capturing and traffic flow prediction
Qingyong Zhang, Conghui Yin, Yuepeng Chen, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105179-105179
Closed Access | Times Cited: 21

Showing 21 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: 70
Container stacking optimization based on Deep Reinforcement Learning
Xin Jin, Zhentang Duan, Wen Song, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106508-106508
Closed Access | Times Cited: 17
Residual attention enhanced Time-varying Multi-Factor Graph Convolutional Network for traffic flow prediction
Yinxin Bao, Qin-Qin Shen, Yang Cao, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108135-108135
Closed Access | Times Cited: 8
Confined attention mechanism enabled Recurrent Neural Network framework to improve traffic flow prediction
Nisha Singh Chauhan, Neetesh Kumar
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108791-108791
Closed Access | Times Cited: 8
Application of coordinate systems for vessel trajectory prediction improvement using a recurrent neural networks
Robertas Jurkus, Julius Venskus, Povilas Treigys
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106448-106448
Closed Access | Times Cited: 14
Traffic congestion-aware graph-based vehicle rerouting framework from aerial imagery
Ertuğrul Bayraktar, Burla Nur Korkmaz, Aras Umut Erarslan, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 119, pp. 105769-105769
Closed Access | Times Cited: 19
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: 12
Multiscale information enhanced spatial-temporal graph convolutional network for multivariate traffic flow forecasting via magnifying perceptual scope
Xinyu Zheng, Haidong Shao, Shen Yan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 109010-109010
Closed Access | Times Cited: 4
Emerging Trends in Graph Neural Networks for Traffic Flow Prediction: A Survey
Guangrui Fan, Aznul Qalid Md Sabri, Siti Soraya Abdul Rahman, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access
ASTTN: An Adaptive Spatial–Temporal Transformer Network for traffic flow prediction
Zijie Xue, Linyu Huang, Qian Ning
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110263-110263
Closed Access
A multi-channel spatial-temporal transformer model for traffic flow forecasting
Jianli Xiao, Baichao Long
Information Sciences (2024) Vol. 671, pp. 120648-120648
Open Access | Times Cited: 2
Spatio-temporal attention based collaborative local–global learning for traffic flow prediction
Haiyang Chi, Yuhuan Lu, Xie Can, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109575-109575
Closed Access | Times Cited: 2
Preserving complex object-centric graph structures to improve machine learning tasks in process mining
Jan Niklas Adams, Gyunam Park, Wil M. P. van der Aalst
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106764-106764
Closed Access | Times Cited: 6
A hybrid deep learning framework for conflict prediction of diverse merge scenarios at roundabouts
Ye Li, Chang Ge, Lu Xing, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107705-107705
Closed Access | Times Cited: 6
Gated Recurrent Unit Embedded with Dual Spatial Convolution for Long-Term Traffic Flow Prediction
Qingyong Zhang, Lingfeng Zhou, Yixin Su, et al.
ISPRS International Journal of Geo-Information (2023) Vol. 12, Iss. 9, pp. 366-366
Open Access | Times Cited: 4
Adaboosting graph attention recurrent network: A deep learning framework for traffic speed forecasting in dynamic transportation networks with spatial-temporal dependencies
Yunuo Zhang, Xiaoling Wang, Jia Yu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107297-107297
Closed Access | Times Cited: 4
TARGCN: temporal attention recurrent graph convolutional neural network for traffic prediction
He Yang, Cong Jiang, Yun Song, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 6, pp. 8179-8196
Open Access | Times Cited: 1
A deep implicit memory Gaussian network for time series forecasting
Minglan Zhang, Linfu Sun, Yisheng Zou, et al.
Applied Soft Computing (2023) Vol. 148, pp. 110878-110878
Closed Access | Times Cited: 2
A short-term load forecasting method for integrated community energy system based on STGCN
Jie Cao, Chaoqiang Liu, Chin‐Ling Chen, et al.
Electric Power Systems Research (2024) Vol. 232, pp. 110265-110265
Open Access
Space-time unified coordinate coding model for digital twin cities
Huangchuang Zhang, Ge Li
Big Earth Data (2024), pp. 1-25
Open Access
Interactive, multi-purpose traffic prediction platform using connected vehicles dataset
Maged Shoman
(2022)
Open Access
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