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 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

Showing 1-25 of 147 citing articles:

The impact of ChatGPT on higher education
Juan Dempere, Kennedy Prince Modugu, Allam Hesham, et al.
Frontiers in Education (2023) Vol. 8
Open Access | Times Cited: 186

A comprehensive survey on applications of transformers for deep learning tasks
Saidul Islam, Hanae Elmekki, Ahmed Elsebai, et al.
Expert Systems with Applications (2023) Vol. 241, pp. 122666-122666
Open Access | Times Cited: 108

A convolutional Transformer-based truncated Gaussian density network with data denoising for wind speed forecasting
Yun Wang, Houhua Xu, Mengmeng Song, et al.
Applied Energy (2023) Vol. 333, pp. 120601-120601
Closed Access | Times Cited: 62

Design of a Modified Transformer Architecture Based on Relative Position Coding
Wenfeng Zheng, Gu Gong, Jiawei Tian, et al.
International Journal of Computational Intelligence Systems (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 59

RNN-LSTM: From applications to modeling techniques and beyond—Systematic review
Safwan Mahmood Al-Selwi, Mohd Fadzil Hassan, Said Jadid Abdulkadir, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 5, pp. 102068-102068
Open Access | Times Cited: 49

Connecting the indispensable roles of IoT and artificial intelligence in smart cities: A survey
Hoang Nguyen, Dina Nawara, Rasha Kashef
Journal of Information and Intelligence (2024)
Open Access | Times Cited: 22

Road Traffic Sign Recognition Algorithm Based on Cascade Attention-Modulation Fusion Mechanism
Fengping An, Jianrong Wang, Ruijun Liu
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 11, pp. 17841-17851
Closed Access | Times Cited: 20

Deep learning methods for atmospheric PM2.5 prediction: A comparative study of transformer and CNN-LSTM-attention
Bowen Cui, Minyi Liu, Shanqiang Li, et al.
Atmospheric Pollution Research (2023) Vol. 14, Iss. 9, pp. 101833-101833
Closed Access | Times Cited: 37

RPConvformer: A novel Transformer-based deep neural networks for traffic flow prediction
Yanjie Wen, Ping Xu, Zhihong Li, et al.
Expert Systems with Applications (2023) Vol. 218, pp. 119587-119587
Closed Access | Times Cited: 35

Semantic understanding and prompt engineering for large-scale traffic data imputation
Kunpeng Zhang, Feng Zhou, Lan Wu, et al.
Information Fusion (2023) Vol. 102, pp. 102038-102038
Closed Access | Times Cited: 35

A novel XGBoost-based featurization approach to forecast renewable energy consumption with deep learning models
Hossein Abbasimehr, Reza Paki, Aram Bahrini
Sustainable Computing Informatics and Systems (2023) Vol. 38, pp. 100863-100863
Closed Access | Times Cited: 34

CNN–RNN Network Integration for the Diagnosis of COVID-19 Using Chest X-ray and CT Images
Isoon Kanjanasurat, Kasi Tenghongsakul, Boonchana Purahong, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1356-1356
Open Access | Times Cited: 29

STGC-GNNs: A GNN-based traffic prediction framework with a spatial–temporal Granger causality graph
Silu He, Qinyao Luo, Ronghua Du, et al.
Physica A Statistical Mechanics and its Applications (2023) Vol. 623, pp. 128913-128913
Open Access | Times Cited: 28

A Graph Neural Network (GNN)-Based Approach for Real-Time Estimation of Traffic Speed in Sustainable Smart Cities
Amit Sharma, Ashutosh Sharma, Polina Nikashina, et al.
Sustainability (2023) Vol. 15, Iss. 15, pp. 11893-11893
Open Access | Times Cited: 23

Full seismic waveform analysis combined with transformer neural networks improves coseismic landslide prediction
Ashok Dahal, Hakan Tanyaş, Luigi Lombardo
Communications Earth & Environment (2024) Vol. 5, Iss. 1
Open Access | Times Cited: 13

LiteTransNet: An interpretable approach for landslide displacement prediction using transformer model with attention mechanism
Qi Ge, Jin Li, Xiaohong Wang, et al.
Engineering Geology (2024) Vol. 331, pp. 107446-107446
Closed Access | Times Cited: 12

MT-STNet: A Novel Multi-Task Spatiotemporal Network for Highway Traffic Flow Prediction
Guojian Zou, Ziliang Lai, Ting Wang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 7, pp. 8221-8236
Closed Access | Times Cited: 10

ST-DAGCN: A spatiotemporal dual adaptive graph convolutional network model for traffic prediction
Yutian Liu, Tao Feng, Soora Rasouli, et al.
Neurocomputing (2024) Vol. 601, pp. 128175-128175
Closed Access | Times Cited: 9

Dynamic spatial–temporal graph convolutional recurrent networks for traffic flow forecasting
Z.H. Xia, Yong Zhang, Jielong Yang, et al.
Expert Systems with Applications (2023) Vol. 240, pp. 122381-122381
Closed Access | Times Cited: 18

Hidformer: Hierarchical dual-tower transformer using multi-scale mergence for long-term time series forecasting
Zhaoran Liu, Yizhi Cao, Hu Xu, et al.
Expert Systems with Applications (2023) Vol. 239, pp. 122412-122412
Closed Access | Times Cited: 16

Incorporating Temporal Multi-Head Self-Attention Convolutional Networks and LightGBM for Indoor Air Quality Prediction
Yifeng Lu, Jinyong Wang, Dongsheng Wang, et al.
Applied Soft Computing (2024) Vol. 157, pp. 111569-111569
Closed Access | Times Cited: 7

Comprehensive review and comparative analysis of transformer models in sentiment analysis
Hadis Bashiri, Hassan Naderi
Knowledge and Information Systems (2024)
Closed Access | Times Cited: 7

Network-Wide Traffic Flow Dynamics Prediction Leveraging Macroscopic Traffic Flow Model and Deep Neural Networks
Hanyi Yang, Wanxin Yu, Guohui Zhang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 5, pp. 4443-4457
Closed Access | Times Cited: 6

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