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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 1-25 of 99 citing articles:

A hybrid deep learning model with 1DCNN-LSTM-Attention networks for short-term traffic flow prediction
Ke Wang, Changxi Ma, Yihuan Qiao, et al.
Physica A Statistical Mechanics and its Applications (2021) Vol. 583, pp. 126293-126293
Closed Access | Times Cited: 173
A multi-head attention-based transformer model for traffic flow forecasting with a comparative analysis to recurrent neural networks
Selim Reza, Marta Campos Ferreira, José J. M. Machado, et al.
Expert Systems with Applications (2022) Vol. 202, pp. 117275-117275
Open Access | Times Cited: 147
Spatial-Temporal Aware Inductive Graph Neural Network for C-ITS Data Recovery
Wei Liang, Yuhui Li, Kun Xie, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 24, Iss. 8, pp. 8431-8442
Closed Access | Times Cited: 93
Robust recurrent neural networks for time series forecasting
Xueli Zhang, Cankun Zhong, Jianjun Zhang, et al.
Neurocomputing (2023) Vol. 526, pp. 143-157
Closed Access | Times Cited: 48
PSO-ELM: A Hybrid Learning Model for Short-Term Traffic Flow Forecasting
Weihong Cai, Junjie Yang, Yidan Yu, et al.
IEEE Access (2020) Vol. 8, pp. 6505-6514
Open Access | Times Cited: 106
Attention meets long short-term memory: A deep learning network for traffic flow forecasting
Weiwei Fang, Wenhao Zhuo, Jingwen Yan, et al.
Physica A Statistical Mechanics and its Applications (2021) Vol. 587, pp. 126485-126485
Closed Access | Times Cited: 74
Hybrid graph convolution neural network and branch-and-bound optimization for traffic flow forecasting
Youcef Djenouri, Asma Belhadi, Gautam Srivastava, et al.
Future Generation Computer Systems (2022) Vol. 139, pp. 100-108
Open Access | Times Cited: 61
A Comprehensive Survey of the Key Technologies and Challenges Surrounding Vehicular Ad Hoc Networks
Zhenchang Xia, Jia Wu, Libing Wu, et al.
ACM Transactions on Intelligent Systems and Technology (2021) Vol. 12, Iss. 4, pp. 1-30
Open Access | Times Cited: 60
A new multi-data-driven spatiotemporal PM2.5 forecasting model based on an ensemble graph reinforcement learning convolutional network
Xinwei Liu, Muchuan Qin, Yue He, et al.
Atmospheric Pollution Research (2021) Vol. 12, Iss. 10, pp. 101197-101197
Closed Access | Times Cited: 56
A Review on Deep Sequential Models for Forecasting Time Series Data
Dozdar Mahdi Ahmed, Masoud Muhammed Hassan, Ramadhan J. Mstafa
Applied Computational Intelligence and Soft Computing (2022) Vol. 2022, pp. 1-19
Open Access | Times Cited: 50
Learning Transactional Behavioral Representations for Credit Card Fraud Detection
Yu Xie, Guanjun Liu, Chungang Yan, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 4, pp. 5735-5748
Open Access | Times Cited: 47
A new ensemble deep graph reinforcement learning network for spatio-temporal traffic volume forecasting in a freeway network
Pan Shang, Xinwei Liu, Chengqing Yu, et al.
Digital Signal Processing (2022) Vol. 123, pp. 103419-103419
Closed Access | Times Cited: 43
A new ensemble spatio-temporal PM2.5 prediction method based on graph attention recursive networks and reinforcement learning
Jing Tan, Hui Liu, Yanfei Li, et al.
Chaos Solitons & Fractals (2022) Vol. 162, pp. 112405-112405
Closed Access | Times Cited: 42
MultiCNN-FilterLSTM: Resource-efficient sensor-based human activity recognition in IoT applications
Hyunseo Park, Nakyoung Kim, Gyeong Ho Lee, et al.
Future Generation Computer Systems (2022) Vol. 139, pp. 196-209
Closed Access | Times Cited: 41
Attention mechanism is useful in spatio-temporal wind speed prediction: Evidence from China
Chengqing Yu, Guangxi Yan, Chengming Yu, et al.
Applied Soft Computing (2023) Vol. 148, pp. 110864-110864
Closed Access | Times Cited: 22
ProSTformer: Progressive Space-Time Self-Attention Model for Short-Term Traffic Flow Forecasting
Yan Xiao, Xianghua Gan, Jingjing Tang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 9, pp. 10802-10816
Closed Access | Times Cited: 8
Spatiotemporal interactive learning dynamic adaptive graph convolutional network for traffic forecasting
Feng Jiang, Xingyu Han, Shiping Wen, et al.
Knowledge-Based Systems (2025), pp. 113115-113115
Closed Access | Times Cited: 1
Learning new physical descriptors from reduced-order analysis of bubble dynamics in boiling heat transfer
Arif Rokoni, Lige Zhang, Tejaswi Soori, et al.
International Journal of Heat and Mass Transfer (2022) Vol. 186, pp. 122501-122501
Open Access | Times Cited: 31
Federated deep learning for smart city edge-based applications
Youcef Djenouri, Tomasz Michalak, Jerry Chun‐Wei Lin
Future Generation Computer Systems (2023) Vol. 147, pp. 350-359
Closed Access | Times Cited: 18
Error-distribution-free kernel extreme learning machine for traffic flow forecasting
Keer Wu, Changhong Xu, Jingwen Yan, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106411-106411
Closed Access | Times Cited: 18
Multi-View Spatial–Temporal Graph Convolutional Network for Traffic Prediction
Shuqing Wei, Siyuan Feng, Hai Yang
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 8, pp. 9572-9586
Closed Access | Times Cited: 7
Spatial dynamic graph convolutional network for traffic flow forecasting
Huaying Li, Shumin Yang, Youyi Song, et al.
Applied Intelligence (2022) Vol. 53, Iss. 12, pp. 14986-14998
Closed Access | Times Cited: 27
Self-attention eidetic 3D-LSTM: Video prediction models for traffic flow forecasting
Yan Xiao, Xianghua Gan, Rui Wang, et al.
Neurocomputing (2022) Vol. 509, pp. 167-176
Closed Access | Times Cited: 25
ENSO analysis and prediction using deep learning: A review
Gai‐Ge Wang, Honglei Cheng, Yiming Zhang, et al.
Neurocomputing (2022) Vol. 520, pp. 216-229
Open Access | Times Cited: 25
Robust state of charge estimation of lithium-ion battery via mixture kernel mean p-power error loss LSTM with heap-based-optimizer
Wentao Ma, Yiming Lei, Xiaofei Wang, et al.
Journal of Energy Chemistry (2023) Vol. 80, pp. 768-784
Closed Access | Times Cited: 15
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