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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:

A temporal-aware LSTM enhanced by loss-switch mechanism for traffic flow forecasting
Huakang Lu, Zuhao Ge, Youyi Song, et al.
Neurocomputing (2020) Vol. 427, pp. 169-178
Closed Access | Times Cited: 99

Showing 26-50 of 99 citing articles:

Multi-Scale Attention Flow for Probabilistic Time Series Forecasting
Shibo Feng, Chunyan Miao, Ke Xu, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 5, pp. 2056-2068
Open Access | Times Cited: 14
A graph-based approach for traffic prediction using similarity and causal relations between nodes
Alkilane Khaled, Alfateh M. Tag Elsir, Pengfei Wang, et al.
Knowledge-Based Systems (2024) Vol. 296, pp. 111913-111913
Closed Access | Times Cited: 5
Prediction of remaining parking spaces based on EMD-LSTM-BiLSTM neural network
Changxi Ma, Xiaoting Huang, Ke Wang, et al.
Journal of Traffic and Transportation Engineering (English Edition) (2025)
Open Access
GSA‐ELM: A hybrid learning model for short‐term traffic flow forecasting
Zhihan Cui, Boyu Huang, Haowen Dou, et al.
IET Intelligent Transport Systems (2021) Vol. 16, Iss. 1, pp. 41-52
Closed Access | Times Cited: 30
A Data Fusion Powered Bi-Directional Long Short Term Memory Model for Predicting Multi-Lane Short Term Traffic Flow
Lumin Xing, Wenjian Liu
IEEE Transactions on Intelligent Transportation Systems (2021) Vol. 23, Iss. 9, pp. 16810-16819
Closed Access | Times Cited: 27
A novel hybrid model combining a fuzzy inference system and a deep learning method for short-term traffic flow prediction
Yan Liu, Xiaokang Wang, Wenhui Hou, et al.
Knowledge-Based Systems (2022) Vol. 255, pp. 109760-109760
Closed Access | Times Cited: 21
Spatiotemporal Adaptive Fusion Graph Network for Short-Term Traffic Flow Forecasting
Shumin Yang, Huaying Li, Yu Luo, et al.
Mathematics (2022) Vol. 10, Iss. 9, pp. 1594-1594
Open Access | Times Cited: 19
NFIG-X: Nonlinear Fuzzy Information Granule Series for Long-Term Traffic Flow Time-Series Forecasting
Yue Cheng, Weiwei Xing, Witold Pedrycz, et al.
IEEE Transactions on Fuzzy Systems (2023) Vol. 31, Iss. 10, pp. 3582-3597
Closed Access | Times Cited: 11
A noval Dual-Parameter Structural Model with Enhanced traffic flow representations
Yuxin Wu, Xudong Zhang, Haina Tang
Neurocomputing (2025), pp. 129401-129401
Closed Access
Routeformer:Transformer utilizing routing mechanism for traffic flow forecasting
Jun Qi, Hong Fan
Neurocomputing (2025), pp. 129753-129753
Closed Access
Urban traffic flow prediction based on multi-spatio-temporal feature fusion
Hui Chen, Jian Huang, Yong Lü, et al.
Neurocomputing (2025), pp. 130117-130117
Open Access
Deep Learning Anti-Fraud Model for Internet Loan: Where We Are Going
Weiwei Fang, Xin Li, Ping Zhou, et al.
IEEE Access (2021) Vol. 9, pp. 9777-9784
Open Access | Times Cited: 26
ADGCN: An Asynchronous Dilation Graph Convolutional Network for Traffic Flow Prediction
Tao Qi, Guanghui Li, Lingqiang Chen, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 5, pp. 4001-4014
Closed Access | Times Cited: 26
Urban Safety: An Image-Processing and Deep-Learning-Based Intelligent Traffic Management and Control System
Selim Reza, Hugo S. Oliveira, José J. M. Machado, et al.
Sensors (2021) Vol. 21, Iss. 22, pp. 7705-7705
Open Access | Times Cited: 24
Small dataset solves big problem: An outlier-insensitive binary classifier for inhibitory potency prediction
Teng Zhou, Haowen Dou, Jie Tan, et al.
Knowledge-Based Systems (2022) Vol. 251, pp. 109242-109242
Closed Access | Times Cited: 18
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: 9
An online intelligent management method for wastewater treatment supported by coupling data-driven and mechanism models
Jianhui Wang, Du-Jiang Zhao, Wan-Shan Liao, et al.
Journal of Water Process Engineering (2023) Vol. 53, pp. 103653-103653
Closed Access | Times Cited: 9
A parallel NAW-DBLSTM algorithm on Spark for traffic flow forecasting
Dawen Xia, Nan Yang, Shunying Jiang, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 2, pp. 1557-1575
Closed Access | Times Cited: 20
A Two-Stage Hybrid Extreme Learning Model for Short-Term Traffic Flow Forecasting
Zhihan Cui, Boyu Huang, Haowen Dou, et al.
Mathematics (2022) Vol. 10, Iss. 12, pp. 2087-2087
Open Access | Times Cited: 14
A hybrid deep and machine learning model for short‐term traffic volume forecasting of adjacent intersections
Hamid Mirzahossein, Iman Gholampour, Sayed Reza Sajadi, et al.
IET Intelligent Transport Systems (2022) Vol. 16, Iss. 11, pp. 1648-1663
Closed Access | Times Cited: 13
An Effective Self-Attention-Based Hybrid Model for Short-Term Traffic Flow Prediction
Zhihong Li, Xiaoyu Wang, Kairan Yang
Advances in Civil Engineering (2023) Vol. 2023, pp. 1-10
Open Access | Times Cited: 7
Prediction of Ship Traffic Flow and Congestion Based on Extreme Learning Machine with Whale Optimization Algorithm and Fuzzy c-Means Clustering
Yongjun Chen, Ming Huang, Kaixuan Song, et al.
Journal of Advanced Transportation (2023) Vol. 2023, pp. 1-12
Open Access | Times Cited: 7
Neural computing for grey Richards differential equation to forecast traffic parameters with various time granularity
Jing He, Shuhua Mao, Adolf K.Y. Ng
Neurocomputing (2023) Vol. 549, pp. 126394-126394
Closed Access | Times Cited: 7
Dynamic Spatiotemporal Graph Wavelet Network for Traffic Flow Prediction
Weijian Xu, Jingjin Liu, Jingwen Yan, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 5, pp. 8019-8029
Closed Access | Times Cited: 7
A Multi-Scale Residual Graph Convolution Network with hierarchical attention for predicting traffic flow in urban mobility
Jiahao Ling, Yuanchun Lan, Xiaohui Huang, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 3, pp. 3305-3317
Open Access | Times Cited: 2

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